no code implementations • 18 Jun 2025 • Qian Li, Feng Liu, Shuojue Yang, Daiyun Shen, Yueming Jin
In this paper, we propose BCRNet (Bezier Curve Refinement Net), a novel framework that significantly enhances landmark detection in laparoscopic liver surgery primarily via the Bezier curve refinement strategy.
no code implementations • 16 Jun 2025 • Kunda Yan, Min Zhang, Sen Cui, Zikun Qu, Bo Jiang, Feng Liu, ChangShui Zhang
Model merging aims to integrate the strengths of multiple fine-tuned models into a unified model while preserving task-specific capabilities.
no code implementations • 16 Jun 2025 • Min Li, Chen Chen, Zhenghao Li, Yin Liu, Shanshan Shan, Peng Wu, Pengfei Rong, Feng Liu, G. Bruce Pike, Alan H. Wilman, Hongfu Sun, Yang Gao
Comprehensive experiments were carried out on both simulated and in vivo data, including healthy subjects and patients with pathological conditions, to compare SUSEP-Net with three state-of-the-art susceptibility source separation methods (i. e., APART-QSM, \c{hi}-separation, and \c{hi}-sepnet).
no code implementations • 13 Jun 2025 • Peng Yang, Yifan Su, Xiaoyu Peng, Hua Geng, Feng Liu
In Part I, we have established the stability theory and proposed stability conditions based on the delta dissipativity.
no code implementations • 13 Jun 2025 • Peng Yang, Xiaoyu Peng, Xi Ru, Hua Geng, Feng Liu
This two-part paper proposes a compositional and equilibrium-free approach to analyzing power system stability.
no code implementations • 5 Jun 2025 • Zesheng Ye, Chengyi Cai, Ruijiang Dong, Jianzhong Qi, Lei Feng, Pin-Yu Chen, Feng Liu
As large-scale pre-trained foundation models continue to expand in size and capability, efficiently adapting them to specific downstream tasks has become increasingly critical.
no code implementations • 29 May 2025 • Fengxiang Wang, Mingshuo Chen, Xuming He, Yifan Zhang, Feng Liu, Zijie Guo, Zhenghao Hu, Jiong Wang, Jingyi Xu, Zhangrui Li, Fenghua Ling, Ben Fei, Weijia Li, Long Lan, Wenjing Yang, Wenlong Zhang, Lei Bai
Existing benchmarks for Earth science multimodal learning exhibit critical limitations in systematic coverage of geosystem components and cross-sphere interactions, often constrained to isolated subsystems (only in Human-activities sphere or atmosphere) with limited evaluation dimensions (less than 16 tasks).
1 code implementation • 28 May 2025 • Tianyu Guo, Hande Dong, Yichong Leng, Feng Liu, Cheater Lin, Nong Xiao, Xianwei Zhang
However, in infilling tasks, the KV cache reuse is often hindered by the structure of the prompt format, which typically consists of a prefix and suffix relative to the insertion point.
no code implementations • 27 May 2025 • Heng Tang, Feng Liu, Xinbo Chen, Jiawei Chen, Bohao Wang, Changwang Zhang, Jun Wang, Yuegang Sun, Bingde Hu, Can Wang
Then it further utilizes a self-adaptive curriculum scheduler to enable LLMs to gradually learn from simpler data (self-distilled data) to more challenging data (real RS data).
1 code implementation • 22 May 2025 • Feng Liu, Lixin Zou, Xiangyu Zhao, Min Tang, Liming Dong, Dan Luo, Xiangyang Luo, Chenliang Li
Generative models, particularly diffusion model, have emerged as powerful tools for sequential recommendation.
no code implementations • 22 May 2025 • Xiaoxue Han, Pengfei Hu, Jun-En Ding, Chang Lu, Feng Liu, Yue Ning
Deep learning models trained on extensive Electronic Health Records (EHR) data have achieved high accuracy in diagnosis prediction, offering the potential to assist clinicians in decision-making and treatment planning.
no code implementations • 22 May 2025 • Feng Liu, Bingyu Nan, Xuezhong Qian, Xiaolan Fu
In this paper, we propose a novel Temporal and Spatial feature Fusion framework for DMER (TSFmicro).
no code implementations • 20 May 2025 • Yu Cui, Feng Liu, Jiawei Chen, Xingyu Lou, Changwang Zhang, Jun Wang, Yuegang Sun, Xiaohu Yang, Can Wang
Click-through rate (CTR) prediction is a fundamental task in modern recommender systems.
no code implementations • 19 May 2025 • Dengfeng Liu, Jucai Zhai, Xiaoguang Jiang, Ziqun Li, Qianjin Yu, Feng Liu, Rui Ye, Huang Liu, Zhiguo Yang, Yongsheng Du, Fang Tan
Code completion technology based on large language model has significantly improved the development efficiency of programmers.
1 code implementation • 18 May 2025 • Sijie Zhao, Feng Liu, Xueliang Zhang, Hao Chen, Pengfeng Xiao, Lei Bai
Consequently, variations in data dimensionality or task requirements often lead to significant performance degradation or model incompatibility, necessitating costly retraining or fine-tuning efforts for different application scenarios.
1 code implementation • 13 May 2025 • Jin Liu, Qing Lin, Zhuang Xiong, Shanshan Shan, Chunyi Liu, Min Li, Feng Liu, G. Bruce Pike, Hongfu Sun, Yang Gao
Incoherent k-space under-sampling and deep learning-based reconstruction methods have shown great success in accelerating MRI.
no code implementations • CVPR 2025 • Ozgur Kara, Krishna Kumar Singh, Feng Liu, Duygu Ceylan, James M. Rehg, Tobias Hinz
Current diffusion-based text-to-video methods are limited to producing short video clips of a single shot and lack the capability to generate multi-shot videos with discrete transitions where the same character performs distinct activities across the same or different backgrounds.
1 code implementation • 10 May 2025 • Feng Liu, Ziwang Fu, Yunlong Wang, Qijian Zheng
Specifically, for the redundant features, we make one modality perform intra-modal feature selection through a self-attention mechanism, so that the selected features can adaptively and efficiently interact with another modality.
no code implementations • 7 May 2025 • Feng Liu, Nicholas Chimitt, Lanqing Guo, Jitesh Jain, Aditya Kane, Minchul Kim, Wes Robbins, Yiyang Su, Dingqiang Ye, Xingguang Zhang, Jie Zhu, Siddharth Satyakam, Christopher Perry, Stanley H. Chan, Arun Ross, Humphrey Shi, Zhangyang Wang, Anil Jain, Xiaoming Liu
To this end, we propose FarSight, a unified end-to-end system for person recognition that integrates complementary biometric cues across face, gait, and body shape modalities.
no code implementations • 16 Apr 2025 • Yifei Dong, Fengyi Wu, Sanjian Zhang, Guangyu Chen, Yuzhi Hu, Masumi Yano, Jingdong Sun, Siyu Huang, Feng Liu, Qi Dai, Zhi-Qi Cheng
Unmanned Aerial Vehicles (UAVs) are indispensable for infrastructure inspection, surveillance, and related tasks, yet they also introduce critical security challenges.
1 code implementation • 5 Apr 2025 • Bohao Wang, Feng Liu, Jiawei Chen, Xingyu Lou, Changwang Zhang, Jun Wang, Yuegang Sun, Yan Feng, Chun Chen, Can Wang
Large language models (LLMs), known for their comprehension capabilities and extensive knowledge, have been increasingly applied to recommendation systems (RS).
1 code implementation • 5 Apr 2025 • Hongchao Fang, Yixin Liu, Jiangshu Du, Can Qin, ran Xu, Feng Liu, Lichao Sun, Dongwon Lee, Lifu Huang, Wenpeng Yin
AI-generated content is becoming increasingly prevalent in the real world, leading to serious ethical and societal concerns.
no code implementations • 2 Apr 2025 • Jing Wang, Jun-En Ding, Feng Liu, Elisa Kallioniemi, Shuqiang Wang, Wen-Xiang Tsai, Albert C. Yang
Alzheimer's Disease is a progressive neurological disorder that is one of the most common forms of dementia.
no code implementations • 26 Mar 2025 • Jiahao Qin, Feng Liu, Lu Zong
In the realm of computer graphics, the ability to learn continuously from non-stationary data streams while adapting to new visual patterns and mitigating catastrophic forgetting is of paramount importance.
no code implementations • 25 Mar 2025 • Max W. Y. Lam, Yijin Xing, Weiya You, Jingcheng Wu, Zongyu Yin, Fuqiang Jiang, Hangyu Liu, Feng Liu, Xingda Li, Wei-Tsung Lu, HanYu Chen, Tong Feng, Tianwei Zhao, Chien-Hung Liu, Xuchen Song, Yang Li, Yahui Zhou
However, the conventional next-token prediction paradigm in AR models does not align with the human creative process in music composition, potentially compromising the musicality of generated samples.
no code implementations • 25 Mar 2025 • Jiahao Qin, Feng Liu, Lu Zong
HAEMSA employs a hierarchical structure of adaptive experts to capture both global and local modality representations, enabling more nuanced sentiment analysis.
no code implementations • 23 Mar 2025 • Hsin-Ling Hsu, Cong-Tinh Dao, Luning Wang, Zitao Shuai, Thao Nguyen Minh Phan, Jun-En Ding, Chun-Chieh Liao, Pengfei Hu, Xiaoxue Han, Chih-Ho Hsu, Dongsheng Luo, Wen-Chih Peng, Feng Liu, Fang-Ming Hung, Chenwei Wu
Despite recent success in applying large language models (LLMs) to electronic health records (EHR), most systems focus primarily on assessment rather than treatment planning.
no code implementations • 20 Mar 2025 • Zhiyuan Liu, Yuting Zhang, Feng Liu, Changwang Zhang, Ying Sun, Jun Wang
Multimodal Large Language Models (MLLMs) have gained significant traction for their ability to process diverse input data types and generate coherent, contextually relevant outputs across various applications.
no code implementations • CVPR 2025 • Jisu Nam, Soowon Son, Zhan Xu, Jing Shi, Difan Liu, Feng Liu, Aashish Misraa, Seungryong Kim, Yang Zhou
We introduce Visual Persona, a foundation model for text-to-image full-body human customization that, given a single in-the-wild human image, generates diverse images of the individual guided by text descriptions.
1 code implementation • 13 Mar 2025 • Yuheng Liang, Zheyu Wang, Feng Liu, Mingzhou Liu, Yu Yao
Experimental results on the Valence-Arousal (VA) Estimation task of the 8th competition on Affective Behavior Analysis in-the-wild (ABAW) demonstrate that the proposed model achieves valence and arousal scores of 0. 5362 (0. 5036) and 0. 4310 (0. 4119) on the validation (test) set, respectively, outperforming the baseline.
no code implementations • 12 Mar 2025 • Yue Wang, Qizhou Wang, Feng Liu, Wei Huang, Yali Du, Xiaojiang Du, Bo Han
Specifically, GRU derives a closed-form solution to project the unlearning gradient onto the orthogonal space of that gradient harmful for retention, ensuring minimal deviation from its original direction under the condition that overall performance is retained.
no code implementations • 11 Mar 2025 • Zhenchen Wan, Yanwu Xu, Dongting Hu, Weilun Cheng, Tianxi Chen, Zhaoqing Wang, Feng Liu, Tongliang Liu, Mingming Gong
To address this, we propose a Mask-Free VITON (MF-VITON) framework that achieves realistic VITON using only a single person image and a target garment, eliminating the requirement for auxiliary masks.
1 code implementation • CVPR 2025 • Huy Nguyen, Kien Nguyen, Akila Pemasiri, Feng Liu, Sridha Sridharan, Clinton Fookes
The relatively lower performance of all state-of-the-art approaches, including our proposed approach, on our new dataset highlights its challenging nature.
no code implementations • 9 Mar 2025 • Sijie Zhao, Feng Liu, Xueliang Zhang, Hao Chen, Tao Han, Junchao Gong, Ran Tao, Pengfeng Xiao, Lei Bai, Wanli Ouyang
The downstream task further demonstrates that task models can apply to multiple PVS with low data costs in latent space and achieve superior performance compared to models in pixel space.
1 code implementation • 4 Mar 2025 • Jiacheng Zhang, Benjamin I. P. Rubinstein, Jingfeng Zhang, Feng Liu
MMD-OPT first serves as a guiding signal to minimize the distributional discrepancy between CEs and AEs to train a denoiser.
1 code implementation • 27 Feb 2025 • Xinghao Wang, Feng Liu, Rui Su, Zhihui Wang, Lei Bai, Wanli Ouyang
Recent advances in deep learning have revolutionized seismic monitoring, yet developing a foundation model that performs well across multiple complex tasks remains challenging, particularly when dealing with degraded signals or data scarcity.
no code implementations • 26 Feb 2025 • Jun-En Ding, Dongsheng Luo, Anna Zilverstand, Kaustubh Kulkarni, Feng Liu
Mental disorders are among the most widespread diseases globally.
1 code implementation • 22 Feb 2025 • Feng Liu, HanYang Wang, Siyuan Shen
Moreover, to identify the principal expression in a video and enhance the model's capacity for representation learning, comprising a key expression re-sampling framework and a dual-stream hierarchical network is proposed, namely Robust Dynamic Facial Expression Recognition (RDFER).
Dynamic Facial Expression Recognition
Facial Expression Recognition
no code implementations • 6 Feb 2025 • Jinbo Xing, Long Mai, Cusuh Ham, Jiahui Huang, Aniruddha Mahapatra, Chi-Wing Fu, Tien-Tsin Wong, Feng Liu
This paper presents a method that allows users to design cinematic video shots in the context of image-to-video generation.
no code implementations • 5 Feb 2025 • Jonathan Kim, Anna Podlasek, Kie Shidara, Feng Liu, Ahmed Alaa, Danilo Bernardo
Large Language Models (LLMs) have attained human-level accuracy on medical question-answer (QA) benchmarks.
no code implementations • 28 Jan 2025 • Yun Li, Zhe Liu, Yajing Kong, Guangrui Li, Jiyuan Zhang, Chao Bian, Feng Liu, Lina Yao, Zhenbang Sun
Using STE, we systematically compare implicit and explicit temporal modeling across dimensions such as overall performance, token compression effectiveness, and temporal-specific understanding.
1 code implementation • 23 Jan 2025 • Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu
Besides, as images of the same class may reflect different attributes after VR, AttrVR iteratively refines patterns using the $k$-nearest DesAttrs and DistAttrs for each image sample, enabling more dynamic and sample-specific optimization.
1 code implementation • 16 Jan 2025 • Jeremy Vonderfecht, Feng Liu
We apply the DiffC algorithm (Theis et al. 2022) to Stable Diffusion 1. 5, 2. 1, XL, and Flux-dev, and demonstrate that these pretrained models are remarkably capable lossy image compressors.
no code implementations • 9 Jan 2025 • Aniruddha Mahapatra, Long Mai, Yitian Zhang, David Bourgin, Feng Liu
Evaluation of video benchmarks shows that our method significantly improves reconstruction quality while increasing temporal compression compared to direct extensions of existing video tokenizers.
1 code implementation • 8 Jan 2025 • Feng Liu, Bao Deng, Rui Su, Lei Bai, Wanli Ouyang
Surface wave dispersion curve inversion is essential for estimating subsurface Shear-wave velocity ($v_s$), yet traditional methods often struggle to balance computational efficiency with inversion accuracy.
no code implementations • 2 Jan 2025 • Huashan Chen, Yifan Xu, Yue Feng, Ming Jian, Feng Liu, Pengfei Hu, KeBin Peng, Sen He, Zi Wang
We study the dynamic characteristics of lip biometrics based on articulator motion.
no code implementations • CVPR 2025 • Minchul Kim, Dingqiang Ye, Yiyang Su, Feng Liu, Xiaoming Liu
Existing human recognition systems often rely on separate, specialized models for face and body analysis, limiting their effectiveness in real-world scenarios where pose, visibility, and context vary widely.
1 code implementation • CVPR 2025 • Yuzhong Zhao, Feng Liu, Yue Liu, Mingxiang Liao, Chen Gong, Qixiang Ye, Fang Wan
During inference, DynRefer performs selectively multimodal referring by sampling proper region representations for tasks from the set of views based on image and task priors.
no code implementations • 24 Dec 2024 • Jiaxin Li, Weiqi Huang, Zan Wang, Wei Liang, Huijun Di, Feng Liu
To eliminate this gap, we introduce a novel navigation task: Floor Plan Visual Navigation (FloNa), the first attempt to incorporate floor plan into embodied visual navigation.
no code implementations • CVPR 2025 • Hsin-Ping Huang, Yang Zhou, Jui-Hsien Wang, Difan Liu, Feng Liu, Ming-Hsuan Yang, Zhan Xu
Generating realistic human videos remains a challenging task, with the most effective methods currently relying on a human motion sequence as a control signal.
no code implementations • 11 Dec 2024 • Shuhai Zhang, Jiahao Yang, Hui Luo, Jie Chen, Li Wang, Feng Liu, Bo Han, Mingkui Tan
Leveraging this insight, we propose Consistency Model-based Adversarial Purification (CMAP), which optimizes vectors within the latent space of a pre-trained consistency model to generate samples for restoring clean data.
1 code implementation • 7 Dec 2024 • Jiahao Qin, Feng Liu
Electrocardiogram (ECG) analysis plays a crucial role in diagnosing cardiovascular diseases, but accurate interpretation of these complex signals remains challenging.
no code implementations • 7 Dec 2024 • Jiahao Qin, Feng Liu
Electroencephalogram (EEG) signals play a pivotal role in biomedical research and clinical applications, including epilepsy diagnosis, sleep disorder analysis, and brain-computer interfaces.
no code implementations • 5 Dec 2024 • Alessandro Magnani, Feng Liu, Suthee Chaidaroon, Sachin Yadav, Praveen Reddy Suram, Ajit Puthenputhussery, Sijie Chen, Min Xie, Anirudh Kashi, Tony Lee, Ciya Liao
In this paper, we present a hybrid system for e-commerce search deployed at Walmart that combines traditional inverted index and embedding-based neural retrieval to better answer user tail queries.
1 code implementation • CVPR 2025 • Bikang Pan, Qun Li, Xiaoying Tang, Wei Huang, Zhen Fang, Feng Liu, Jingya Wang, Jingyi Yu, Ye Shi
This matrix effectively partitions datasets into clean and noisy subsets, allowing for the application of cross-entropy loss to the clean subset and MAE loss to the noisy subset.
1 code implementation • 30 Nov 2024 • Feng Liu, Haipeng Li, Guangyuan Zou, Junlun Li
The AD-based framework not only includes forword modeling and associated gradient computations for wave equations in various types of media from isotropic acoustic to vertically or horizontally transverse isotropic elastic, but also incorporates a suite of objective functions, regularization techniques, and optimization algorithms.
no code implementations • 30 Nov 2024 • Xunye Tian, Liuhua Peng, Zhijian Zhou, Mingming Gong, Arthur Gretton, Feng Liu
Common approaches will first split data into training and test sets and then learn data representations purely on the training set.
2 code implementations • CVPR 2025 • Feng Liu, Shiwei Zhang, XiaoFeng Wang, Yujie Wei, Haonan Qiu, Yuzhong Zhao, Yingya Zhang, Qixiang Ye, Fang Wan
As a fundamental backbone for video generation, diffusion models are challenged by low inference speed due to the sequential nature of denoising.
no code implementations • 27 Nov 2024 • Xinyu Su, Feng Liu, Yanchuan Chang, Egemen Tanin, Majid Sarvi, Jianzhong Qi
Traffic forecasting is an important problem in the operation and optimisation of transportation systems.
1 code implementation • 26 Nov 2024 • Zhenchen Wan, Yanwu Xu, Zhaoqing Wang, Feng Liu, Tongliang Liu, Mingming Gong
Recent advancements in Virtual Try-On (VTO) have demonstrated exceptional efficacy in generating realistic images and preserving garment details, largely attributed to the robust generative capabilities of text-to-image (T2I) diffusion backbones.
no code implementations • 13 Nov 2024 • XiaoFeng Wang, Kang Zhao, Feng Liu, Jiayu Wang, Guosheng Zhao, Xiaoyi Bao, Zheng Zhu, Yingya Zhang, Xingang Wang
Video generation has emerged as a promising tool for world simulation, leveraging visual data to replicate real-world environments.
no code implementations • 12 Nov 2024 • Zifan Zeng, Chongzhe Zhang, Feng Liu, Joseph Sifakis, Qunli Zhang, Shiming Liu, Peng Wang
With the proliferation of the Large Language Model (LLM), the concept of World Models (WM) has recently attracted a great deal of attention in the AI research community, especially in the context of AI agents.
no code implementations • 11 Nov 2024 • Kuiyao Dong, Xingyu Lou, Feng Liu, Ruian Wang, Wenyi Yu, Ping Wang, Jun Wang
However, such MOE-based method typically employs all experts for each instance, leading to scalability issue and low-discriminability between domains and experts.
no code implementations • 31 Oct 2024 • Rena Gao, Xuetong Wu, Siwen Luo, Caren Han, Feng Liu
Out-of-distribution (OOD) detection in multimodal contexts is essential for identifying deviations in combined inputs from different modalities, particularly in applications like open-domain dialogue systems or real-life dialogue interactions.
Out-of-Distribution Detection
Out of Distribution (OOD) Detection
1 code implementation • 31 Oct 2024 • Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu
When adapting the output interface, label mapping methods transform the pretrained labels to downstream labels by establishing a gradient-free one-to-one correspondence between the two sets of labels.
no code implementations • 29 Oct 2024 • Jeremy Vonderfecht, Feng Liu
Towards this goal, we present a method which predicts the encoding error that a popular INR network (SIREN) will reach, given its network hyperparameters and the signal to encode.
no code implementations • 29 Oct 2024 • Jeremy Vonderfecht, Feng Liu
Several recent studies have demonstrated that deep-learning based image generation models, such as GANs, can be uniquely identified, and possibly even reverse-engineered, by the fingerprints they leave on their output images.
1 code implementation • 28 Oct 2024 • Priyanka Mudgal, Feng Liu
Therefore, to leverage global features along with local redundancy, we propose a CNN-based solution integrated with a feature encoding module.
1 code implementation • 23 Oct 2024 • Jun-En Ding, Chien-Chin Hsu, Chi-Hsiang Chu, Shuqiang Wang, Feng Liu
However, traditional approaches typically focus on unimodal medical image data, neglecting the integration of diverse non-image patient data.
no code implementations • 17 Oct 2024 • Yujie Wei, Shiwei Zhang, Hangjie Yuan, Xiang Wang, Haonan Qiu, Rui Zhao, Yutong Feng, Feng Liu, Zhizhong Huang, Jiaxin Ye, Yingya Zhang, Hongming Shan
In this paper, we present DreamVideo-2, a zero-shot video customization framework capable of generating videos with a specific subject and motion trajectory, guided by a single image and a bounding box sequence, respectively, and without the need for test-time fine-tuning.
1 code implementation • 16 Oct 2024 • Hongduan Tian, Feng Liu, Zhanke Zhou, Tongliang Liu, Chengqi Zhang, Bo Han
However, in this paper, we find that there naturally exists a gap, which resembles the modality gap, between the prototype and image instance embeddings extracted from the frozen pre-trained backbone, and simply applying the same transformation during the adaptation phase constrains exploring the optimal representations and shrinks the gap between prototype and image representations.
1 code implementation • 10 Oct 2024 • Desai Xie, Zhan Xu, Yicong Hong, Hao Tan, Difan Liu, Feng Liu, Arie Kaufman, Yang Zhou
In this work, we introduce a more natural formulation of autoregressive long video generation by revisiting the noise level assumption in video diffusion models.
no code implementations • 10 Oct 2024 • Mingi Kwon, Seoung Wug Oh, Yang Zhou, Difan Liu, Joon-Young Lee, Haoran Cai, Baqiao Liu, Feng Liu, Youngjung Uh
We present a method to create diffusion-based video models from pretrained Text-to-Image (T2I) models.
no code implementations • 4 Oct 2024 • Ming Li, Zhaojian Wang, Feng Liu, Ming Cao, Bo Yang
The scheme of online optimization as a feedback controller is widely used to steer the states of a physical system to the optimal solution of a predefined optimization problem.
1 code implementation • 11 Sep 2024 • Lijia Lv, Weigang Zhang, Xuehai Tang, Jie Wen, Feng Liu, Jizhong Han, Songlin Hu
Jailbreak vulnerabilities in Large Language Models (LLMs) refer to methods that extract malicious content from the model by carefully crafting prompts or suffixes, which has garnered significant attention from the research community.
no code implementations • 10 Sep 2024 • Nathaniel Xu, Feng Liu, Danica J. Sutherland
The Hilbert-Schmidt Independence Criterion (HSIC) is a powerful tool for nonparametric detection of dependence between random variables.
no code implementations • 10 Sep 2024 • Shuochen Gao, Shun Lei, Fan Zhuo, Hangyu Liu, Feng Liu, Boshi Tang, Qiaochu Huang, Shiyin Kang, Zhiyong Wu
The Song Generation task aims to synthesize music composed of vocals and accompaniment from given lyrics.
no code implementations • 9 Sep 2024 • Shun Lei, Yixuan Zhou, Boshi Tang, Max W. Y. Lam, Feng Liu, Hangyu Liu, Jingcheng Wu, Shiyin Kang, Zhiyong Wu, Helen Meng
While various aspects of song generation have been explored by previous works, such as singing voice, vocal composition and instrumental arrangement, etc., generating songs with both vocals and accompaniment given lyrics remains a significant challenge, hindering the application of music generation models in the real world.
no code implementations • 15 Aug 2024 • Bohao Wang, Feng Liu, Changwang Zhang, Jiawei Chen, Yudi Wu, Sheng Zhou, Xingyu Lou, Jun Wang, Yan Feng, Chun Chen, Can Wang
However, employing LLMs for denoising in sequential recommendation presents notable challenges: 1) Direct application of pretrained LLMs may not be competent for the denoising task, frequently generating nonsensical responses; 2) Even after fine-tuning, the reliability of LLM outputs remains questionable, especially given the complexity of the denoising task and the inherent hallucinatory issue of LLMs.
no code implementations • 13 Aug 2024 • Tianning Zhang, Feng Liu, Yuming Yuan, Rui Su, Wanli Ouyang, Lei Bai
FisH is designed to process real-time streaming seismic data and generate simultaneous results for phase picking, location estimation, and magnitude estimation in an end-to-end fashion.
no code implementations • 9 Aug 2024 • Juexin Lin, Sachin Yadav, Feng Liu, Nicholas Rossi, Praveen R. Suram, Satya Chembolu, Prijith Chandran, Hrushikesh Mohapatra, Tony Lee, Alessandro Magnani, Ciya Liao
In addition, we present the techniques to increase the performance of our EBR model, such as typo-aware training, and semi-positive generation.
1 code implementation • 9 Aug 2024 • Nicholas Rossi, Juexin Lin, Feng Liu, Zhen Yang, Tony Lee, Alessandro Magnani, Ciya Liao
This issue is prominent in product search, where the number of relevant products is often small.
1 code implementation • 4 Aug 2024 • Jiahao Qin, Feng Liu
This paper introduces Mamba-Spike, a novel neuromorphic architecture that integrates a spiking front-end with the Mamba backbone to achieve efficient and robust temporal data processing.
2 code implementations • 23 Jul 2024 • Yiyang Su, Minchul Kim, Feng Liu, Anil Jain, Xiaoming Liu
Biometric recognition has primarily addressed closed-set identification, assuming all probe subjects are in the gallery.
no code implementations • 17 Jul 2024 • Thao Minh Nguyen Phan, Cong-Tinh Dao, Chenwei Wu, Jian-Zhe Wang, Shun Liu, Jun-En Ding, David Restrepo, Feng Liu, Fang-Ming Hung, Wen-Chih Peng
Electronic health records (EHRs) are multimodal by nature, consisting of structured tabular features like lab tests and unstructured clinical notes.
no code implementations • 14 Jul 2024 • Wenjie Wang, Biwei Huang, Feng Liu, Xinge You, Tongliang Liu, Kun Zhang, Mingming Gong
In this paper, we propose a kernel selection method within the generalized score function that automatically selects the optimal kernel that best fits the data.
no code implementations • 28 Jun 2024 • Feng Liu, Qing Xu, Qijian Zheng
What's more, we are the first to prove the effectiveness of emotional features, and provide a new idea for measuring the distance between skeletal motions.
no code implementations • 26 Jun 2024 • Yicheng Wang, Feng Liu, Junmin Liu, Kai Sun
In this paper, we explore and establish the solvability of NCD in cross domain setting with the necessary condition that style information must be removed.
no code implementations • 26 Jun 2024 • Chun-Chieh Liao, Wei-Ting Kuo, I-Hsuan Hu, Yen-Chen Shih, Jun-En Ding, Feng Liu, Fang-Ming Hung
Traditional diagnosis of chronic diseases involves in-person consultations with physicians to identify the disease.
no code implementations • 18 Jun 2024 • Min Li, Chen Chen, Zhuang Xiong, Ying Liu, Pengfei Rong, Shanshan Shan, Feng Liu, Hongfu Sun, Yang Gao
Quantitative susceptibility mapping (QSM) is an MRI phase-based post-processing technique to extract the distribution of tissue susceptibilities, demonstrating significant potential in studying neurological diseases.
1 code implementation • 15 Jun 2024 • Jiahan Zhang, Qi Wei, Feng Liu, Lei Feng
To alleviate this issue, we propose a Candidate Pseudolabel Learning method, termed CPL, to fine-tune VLMs with suitable candidate pseudolabels of unlabeled data in downstream tasks.
no code implementations • 11 Jun 2024 • Ning Qi, Pierre Pinson, Mads R. Almassalkhi, Yingrui Zhuang, Yifan Su, Feng Liu
This paper proposes a novel capacity credit evaluation framework to accurately quantify the contribution of generalized energy storage (GES) to resource adequacy, considering both strategic capacity withholding and decision-dependent uncertainty (DDU).
1 code implementation • 5 Jun 2024 • Chengyi Cai, Zesheng Ye, Lei Feng, Jianzhong Qi, Feng Liu
Since we generate different masks for individual samples, SMM is theoretically shown to reduce approximation error for the target tasks compared with existing state-of-the-art VR methods.
1 code implementation • 5 Jun 2024 • Jinhao Li, Haopeng Li, Sarah Erfani, Lei Feng, James Bailey, Feng Liu
The local visual areas are then cross-aligned with the finer descriptions by creating a similarity matrix using the pre-trained VLM.
1 code implementation • 2 Jun 2024 • Jiacheng Zhang, Feng Liu, Dawei Zhou, Jingfeng Zhang, Tongliang Liu
However, in this paper, we discover that not all pixels contribute equally to the accuracy on AEs (i. e., robustness) and accuracy on natural images (i. e., accuracy).
1 code implementation • 29 May 2024 • Hongduan Tian, Feng Liu, Tongliang Liu, Bo Du, Yiu-ming Cheung, Bo Han
In cross-domain few-shot classification, \emph{nearest centroid classifier} (NCC) aims to learn representations to construct a metric space where few-shot classification can be performed by measuring the similarities between samples and the prototype of each class.
1 code implementation • 25 May 2024 • Yuzhong Zhao, Feng Liu, Yue Liu, Mingxiang Liao, Chen Gong, Qixiang Ye, Fang Wan
Unfortunately, most of existing methods using fixed visual inputs remain lacking the resolution adaptability to find out precise language descriptions.
no code implementations • 24 May 2024 • Yuwei Niu, Shuo He, Qi Wei, Zongyu Wu, Feng Liu, Lei Feng
In this paper, we provide the first attempt at a computationally efficient backdoor detection method to defend against backdoored CLIP in the inference stage.
1 code implementation • 1 May 2024 • Yu Cui, Feng Liu, Pengbo Wang, Bohao Wang, Heng Tang, Yi Wan, Jun Wang, Jiawei Chen
Owing to their powerful semantic reasoning capabilities, Large Language Models (LLMs) have been effectively utilized as recommenders, achieving impressive performance.
no code implementations • CVPR 2025 • Yiran Xu, Taesung Park, Richard Zhang, Yang Zhou, Eli Shechtman, Feng Liu, Jia-Bin Huang, Difan Liu
We introduce VideoGigaGAN, a new generative VSR model that can produce videos with high-frequency details and temporal consistency.
Ranked #16 on
Video Super-Resolution
on Vid4 - 4x upscaling
(PSNR metric)
no code implementations • 7 Apr 2024 • Zhen Fang, Yixuan Li, Feng Liu, Bo Han, Jie Lu
Based on this observation, we next give several necessary and sufficient conditions to characterize the learnability of OOD detection in some practical scenarios.
no code implementations • 3 Apr 2024 • Qianqiao Xu, Zhiliang Tian, Hongyan Wu, Zhen Huang, Yiping Song, Feng Liu, Dongsheng Li
In this paper, we propose a multi-agent attacker-disguiser game approach to achieve a weak defense mechanism that allows the large model to both safely reply to the attacker and hide the defense intent.
2 code implementations • 29 Mar 2024 • Xue Jiang, Feng Liu, Zhen Fang, Hong Chen, Tongliang Liu, Feng Zheng, Bo Han
In this paper, we propose a novel post hoc OOD detection method, called NegLabel, which takes a vast number of negative labels from extensive corpus databases.
no code implementations • 25 Mar 2024 • Simon Kiefhaber, Simon Niklaus, Feng Liu, Simone Schaub-Meyer
Video frame interpolation, the task of synthesizing new frames in between two or more given ones, is becoming an increasingly popular research target.
3 code implementations • CVPR 2024 • Minchul Kim, Yiyang Su, Feng Liu, Anil Jain, Xiaoming Liu
By anchoring the significance of pixels around keypoints, the model can more effectively retain spatial relationships, even when those relationships are disrupted by affine transformations.
no code implementations • 21 Mar 2024 • Zhuang Xiong, Wei Jiang, Yang Gao, Feng Liu, Hongfu Sun
In this work, we developed a 3D image patch-based diffusion model, namely QSMDiff, for robust QSM reconstruction across different scan parameters, alongside simultaneous super-resolution and image-denoising tasks.
1 code implementation • 20 Mar 2024 • Feng Liu, Xiaobin Chang
Semantic image synthesis aims to generate high-quality images given semantic conditions, i. e. segmentation masks and style reference images.
no code implementations • 11 Mar 2024 • Achira Boonrath, Feng Liu, Elenora M. Botta, Souma Chowdhury
System performance is assessed in terms of capture success and overall fuel consumption by the MUs.
no code implementations • 2 Mar 2024 • Jun-En Ding, Phan Nguyen Minh Thao, Wen-Chih Peng, Jian-Zhe Wang, Chun-Cheng Chug, Min-Chen Hsieh, Yun-Chien Tseng, Ling Chen, Dongsheng Luo, Chi-Te Wang, Pei-fu Chen, Feng Liu, Fang-Ming Hung
In our experiments, we observe that clinicalBERT and PubMed-BERT, when combined with attention fusion, can achieve an accuracy of 73% in multiclass chronic diseases and diabetes prediction.
no code implementations • 29 Feb 2024 • Jun-En Ding, Shihao Yang, Anna Zilverstand, Kaustubh R. Kulkarni, Xiaosi Gu, Feng Liu
The excessive consumption of marijuana can induce substantial psychological and social consequences.
no code implementations • 22 Feb 2024 • Yixuan Ren, Yang Zhou, Jimei Yang, Jing Shi, Difan Liu, Feng Liu, Mingi Kwon, Abhinav Shrivastava
To address the challenge of one-shot video motion customization, we propose Customize-A-Video that models the motion from a single reference video and adapts it to new subjects and scenes with both spatial and temporal varieties.
no code implementations • 20 Feb 2024 • Haozhe Liu, Wentian Zhang, Feng Liu, Haoqian Wu, Linlin Shen
While by using the texture in-painting-based local module, a local spoofness score predicted from fingerprint patches is obtained.
1 code implementation • 19 Feb 2024 • Zihao Luo, Xilie Xu, Feng Liu, Yun Sing Koh, Di Wang, Jingfeng Zhang
To mitigate this issue, we further propose a Stable Membership-Privacy-preserving LoRA (SMP-LoRA) that adapts the LDM by minimizing the ratio of the adaptation loss to the MI gain.
no code implementations • IEEE Transactions on Instrumentation and Measurement 2024 • Sepehr Asgarian, Ze Wang, Feng Wan, Chi Man Wong, Feng Liu, Yalda Mohsenzadeh, Boyu Wang, Charles X. Ling
Domain adaptation has gained significant attention to address the nonstationarity problem in electroencephalography (EEG) data in motor imagery (MI) classification.
2 code implementations • 6 Feb 2024 • Feng Liu, Tengteng Huang, Qianjing Zhang, Haotian Yao, Chi Zhang, Fang Wan, Qixiang Ye, Yanzhao Zhou
Multi-view 3D object detection systems often struggle with generating precise predictions due to the challenges in estimating depth from images, increasing redundant and incorrect detections.
Ranked #2 on
3D Object Detection
on nuScenes Camera Only
no code implementations • 8 Jan 2024 • Xinyu Zhang, Vincent CS Lee, Feng Liu
Thyroid cancer, the most prevalent endocrine cancer, has gained significant global attention due to its impact on public health.
2 code implementations • CVPR 2024 • Zhiyuan Ren, Minchul Kim, Feng Liu, Xiaoming Liu
However few works study the effect of the architecture of the diffusion model in the 3D point cloud resorting to the typical UNet model developed for 2D images.
no code implementations • CVPR 2024 • Zhengang Li, Yan Kang, Yuchen Liu, Difan Liu, Tobias Hinz, Feng Liu, Yanzhi Wang
Our method employs a supernet training paradigm that targets various model cost and resolution options using a weight-sharing method.
no code implementations • CVPR 2024 • Feng Liu, Minchul Kim, Zhiyuan Ren, Xiaoming Liu
Person Re-Identification (ReID) holds critical importance in computer vision with pivotal applications in public safety and crime prevention.
no code implementations • 29 Dec 2023 • Miloš Nikolić, Victoria Antonetti, Feng Liu, Gentian Muhaxheri, Mariela D. Petkova, Martin Scheeler, Eric M. Smith, William Bialek, Thomas Gregor
The body plan of the fruit fly is determined by the expression of just a handful of genes.
no code implementations • 23 Dec 2023 • Andrew Hou, Feng Liu, Zhiyuan Ren, Michel Sarkis, Ning Bi, Yiying Tong, Xiaoming Liu
We propose INFAMOUS-NeRF, an implicit morphable face model that introduces hypernetworks to NeRF to improve the representation power in the presence of many training subjects.
no code implementations • 4 Dec 2023 • Yao-Chih Lee, Zhoutong Zhang, Kevin Blackburn-Matzen, Simon Niklaus, Jianming Zhang, Jia-Bin Huang, Feng Liu
Specifically, we build a global static scene model using an extended plane-based scene representation to synthesize temporally coherent novel video.
no code implementations • 25 Nov 2023 • Jun-En Ding, Chien-Chin Hsu, Feng Liu
This work proposes a multimodal approach encompassing both image and non-image features, leveraging contrastive cross-view graph fusion for PD classification.
no code implementations • 22 Nov 2023 • Marlon Bran Lorenzana, Feng Liu, Shekhar S. Chandra
Popular methods in compressed sensing (CS) are dependent on deep learning (DL), where large amounts of data are used to train non-linear reconstruction models.
1 code implementation • 20 Nov 2023 • Wei Jiang, Zhuang Xiong, Feng Liu, Nan Ye, Hongfu Sun
Supervised deep learning methods have shown promise in undersampled Magnetic Resonance Imaging (MRI) reconstruction, but their requirement for paired data limits their generalizability to the diverse MRI acquisition parameters.
1 code implementation • 14 Nov 2023 • Yang Gao, Zhuang Xiong, Shanshan Shan, Yin Liu, Pengfei Rong, Min Li, Alan H Wilman, G. Bruce Pike, Feng Liu, Hongfu Sun
The proposed OA-LFE-empowered iQSM, which we refer to as iQSM+, is trained in a self-supervised manner on a specially-designed simulation brain dataset.
1 code implementation • 8 Nov 2023 • Yicong Hong, Kai Zhang, Jiuxiang Gu, Sai Bi, Yang Zhou, Difan Liu, Feng Liu, Kalyan Sunkavalli, Trung Bui, Hao Tan
We propose the first Large Reconstruction Model (LRM) that predicts the 3D model of an object from a single input image within just 5 seconds.
1 code implementation • NeurIPS 2023 • Haotian Zheng, Qizhou Wang, Zhen Fang, Xiaobo Xia, Feng Liu, Tongliang Liu, Bo Han
To this end, we suggest that generated data (with mistaken OOD generation) can be used to devise an auxiliary OOD detection task to facilitate real OOD detection.
Out-of-Distribution Detection
Out of Distribution (OOD) Detection
+1
1 code implementation • NeurIPS 2023 • Qizhou Wang, Zhen Fang, Yonggang Zhang, Feng Liu, Yixuan Li, Bo Han
Accordingly, we propose Distributional-Augmented OOD Learning (DAL), alleviating the OOD distribution discrepancy by crafting an OOD distribution set that contains all distributions in a Wasserstein ball centered on the auxiliary OOD distribution.
1 code implementation • ICCV 2023 • Ke Liu, Feng Liu, Haishuai Wang, Ning Ma, Jiajun Bu, Bo Han
Based on this fact, we introduce a simple partition mechanism to boost the performance of two INR methods for image reconstruction: one for learning INRs, and the other for learning-to-learn INRs.
no code implementations • 20 Oct 2023 • Qiqi Hou, Feng Liu
This paper investigates super resolution to reduce the number of pixels to render and thus speed up Monte Carlo rendering algorithms.
no code implementations • 26 Sep 2023 • Feng Liu, Faguo Wu, Xiao Zhang
The normalization constraint on probability density poses a significant challenge for solving the Fokker-Planck equation.
2 code implementations • 19 Sep 2023 • Aiyuan Yang, Bin Xiao, Bingning Wang, Borong Zhang, Ce Bian, Chao Yin, Chenxu Lv, Da Pan, Dian Wang, Dong Yan, Fan Yang, Fei Deng, Feng Wang, Feng Liu, Guangwei Ai, Guosheng Dong, Haizhou Zhao, Hang Xu, Haoze Sun, Hongda Zhang, Hui Liu, Jiaming Ji, Jian Xie, Juntao Dai, Kun Fang, Lei Su, Liang Song, Lifeng Liu, Liyun Ru, Luyao Ma, Mang Wang, Mickel Liu, MingAn Lin, Nuolan Nie, Peidong Guo, Ruiyang Sun, Tao Zhang, Tianpeng Li, Tianyu Li, Wei Cheng, WeiPeng Chen, Xiangrong Zeng, Xiaochuan Wang, Xiaoxi Chen, Xin Men, Xin Yu, Xuehai Pan, Yanjun Shen, Yiding Wang, Yiyu Li, Youxin Jiang, Yuchen Gao, Yupeng Zhang, Zenan Zhou, Zhiying Wu
Large language models (LLMs) have demonstrated remarkable performance on a variety of natural language tasks based on just a few examples of natural language instructions, reducing the need for extensive feature engineering.
no code implementations • 16 Sep 2023 • Tong Zhou, Chen Ding, Changhong Jing, Feng Liu, Kevin Hung, Hieu Pham, Mufti Mahmud, Zhihan Lyu, Sibo Qiao, Shuqiang Wang, Kim-Fung Tsang
The experimental findings suggest that the relationship between brain structure and function is not a complete one-to-one correspondence.
no code implementations • 31 Aug 2023 • Zhipeng Yu, Jin Lin, Feng Liu, Jiarong Li, Yingtian Chi, Yonghua Song, Zhengwei Ren
Large-scale centralized development of wind and solar energy and peer-to-grid transmission of renewable energy source (RES) via high voltage direct current (HVDC) has been regarded as one of the most promising ways to achieve goals of peak carbon and carbon neutrality in China.
no code implementations • 27 Aug 2023 • Yi-Feng Liu, Rui-Yao Ren, Dai-Bao Hou, Hai-Zhong Weng, Bo-Wen Wang, Ke-Jie Huang, Xing Lin, Feng Liu, Chen-Hui Li, Chao-Yuan Jin
However, inter-channel crosstalk has obstructed WDM technologies to be deployed in nonlinear activation in ONNs.
no code implementations • ICCV 2023 • Feng Liu, Minchul Kim, ZiAng Gu, Anil Jain, Xiaoming Liu
Long-Term Person Re-Identification (LT-ReID) has become increasingly crucial in computer vision and biometrics.
Ranked #2 on
Person Re-Identification
on CCVID
no code implementations • 18 Aug 2023 • Zhuang Xiong, Yang Gao, Yin Liu, Amir Fazlollahi, Peter Nestor, Feng Liu, Hongfu Sun
The data-driven approach of supervised learning methods has limited applicability in solving dipole inversion in Quantitative Susceptibility Mapping (QSM) with varying scan parameters across different objects.
no code implementations • 12 Jul 2023 • Ruijiang Dong, Feng Liu, Haoang Chi, Tongliang Liu, Mingming Gong, Gang Niu, Masashi Sugiyama, Bo Han
In this paper, we propose a diversity-enhancing generative network (DEG-Net) for the FHA problem, which can generate diverse unlabeled data with the help of a kernel independence measure: the Hilbert-Schmidt independence criterion (HSIC).
no code implementations • 6 Jul 2023 • Feng Liu, Achira Boonrath, Prajit KrisshnaKumar, Elenora M. Botta, Souma Chowdhury
The earth's orbit is becoming increasingly crowded with debris that poses significant safety risks to the operation of existing and new spacecraft and satellites.
no code implementations • 29 Jun 2023 • Feng Liu, Ryan Ashbaugh, Nicholas Chimitt, Najmul Hassan, Ali Hassani, Ajay Jaiswal, Minchul Kim, Zhiyuan Mao, Christopher Perry, Zhiyuan Ren, Yiyang Su, Pegah Varghaei, Kai Wang, Xingguang Zhang, Stanley Chan, Arun Ross, Humphrey Shi, Zhangyang Wang, Anil Jain, Xiaoming Liu
Whole-body biometric recognition is an important area of research due to its vast applications in law enforcement, border security, and surveillance.
1 code implementation • 15 Jun 2023 • Feng Liu, Deyi Tuo, Yinan Xu, Xintong Han
Abstract: Cover song identification (CSI) focuses on finding the same music with different versions in reference anchors given a query track.
Ranked #1 on
Cover song identification
on SHS100K-TEST
1 code implementation • 25 May 2023 • Shuhai Zhang, Feng Liu, Jiahao Yang, Yifan Yang, Changsheng Li, Bo Han, Mingkui Tan
Last, we propose an EPS-based adversarial detection (EPS-AD) method, in which we develop EPS-based maximum mean discrepancy (MMD) as a metric to measure the discrepancy between the test sample and natural samples.
no code implementations • 20 May 2023 • Menglin Kong, Muzhou Hou, Shaojie Zhao, Feng Liu, Ri Su, Yinghao Chen
Click-Through Rate (CTR) prediction is one of the main tasks of the recommendation system, which is conducted by a user for different items to give the recommendation results.
no code implementations • 15 May 2023 • Abhijay Ghildyal, Feng Liu
In our study, we systematically examine the robustness of these metrics to imperceptible adversarial perturbations.
1 code implementation • NeurIPS 2023 • Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan Kankanhalli
To improve transferability, the existing work introduced the standard invariant regularization (SIR) to impose style-independence property to SCL, which can exempt the impact of nuisance style factors in the standard representation.
1 code implementation • ICML 2023 • Xue Jiang, Feng Liu, Zhen Fang, Hong Chen, Tongliang Liu, Feng Zheng, Bo Han
In this paper, we show that this assumption makes the above methods incapable when the ID model is trained with class-imbalanced data. Fortunately, by analyzing the causal relations between ID/OOD classes and features, we identify several common scenarios where the OOD-to-ID probabilities should be the ID-class-prior distribution and propose two strategies to modify existing inference-time detection methods: 1) replace the uniform distribution with the ID-class-prior distribution if they explicitly use the uniform distribution; 2) otherwise, reweight their scores according to the similarity between the ID-class-prior distribution and the softmax outputs of the pre-trained model.
Out-of-Distribution Detection
Out of Distribution (OOD) Detection
1 code implementation • CVPR 2023 • Minchul Kim, Feng Liu, Anil Jain, Xiaoming Liu
Our novel Patch-wise style extractor and Time-step dependent ID loss enables DCFace to consistently produce face images of the same subject under different styles with precise control.
no code implementations • CVPR 2023 • Hyunyoung Jung, Zhuo Hui, Lei Luo, Haitao Yang, Feng Liu, Sungjoo Yoo, Rakesh Ranjan, Denis Demandolx
To apply optical flow in practice, it is often necessary to resize the input to smaller dimensions in order to reduce computational costs.
no code implementations • 10 Mar 2023 • Zhipeng Yu, Jin Lin, Feng Liu, Jiarong Li, Yuxuan Zhao, Yonghua Song
However, multi-timescale electricity, hydrogen, and ammonia storages, minimum power supply for system safety, and the multi-year uncertainty of renewable generation lead to difficulties in planning.
1 code implementation • 9 Mar 2023 • Qizhou Wang, Junjie Ye, Feng Liu, Quanyu Dai, Marcus Kalander, Tongliang Liu, Jianye Hao, Bo Han
It leads to a min-max learning scheme -- searching to synthesize OOD data that leads to worst judgments and learning from such OOD data for uniform performance in OOD detection.
no code implementations • 18 Feb 2023 • Sirui Wu, Jin Lin, Jiarong Li, Feng Liu, Yonghua Song, Yanhui Xu, Xiang Cheng, Zhipeng Yu
Hence, we develop a multi-timescale trading strategy for the RePtA VPP in the electricity, hydrogen, and ammonia markets.
no code implementations • 17 Feb 2023 • Marlon E. Bran Lorenzana, Shekhar S. Chandra, Feng Liu
Sparse reconstruction is an important aspect of MRI, helping to reduce acquisition time and improve spatial-temporal resolution.
1 code implementation • NeurIPS 2023 • Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan Kankanhalli
Adversarial contrastive learning (ACL) does not require expensive data annotations but outputs a robust representation that withstands adversarial attacks and also generalizes to a wide range of downstream tasks.
1 code implementation • CVPR 2023 • HanYang Wang, Bo Li, Shuang Wu, Siyuan Shen, Feng Liu, Shouhong Ding, Aimin Zhou
Dynamic Facial Expression Recognition (DFER) is a rapidly developing field that focuses on recognizing facial expressions in video format.
Ranked #12 on
Dynamic Facial Expression Recognition
on FERV39k
Dynamic Facial Expression Recognition
Facial Expression Recognition
no code implementations • ICCV 2023 • Xilin He, Qinliang Lin, Cheng Luo, Weicheng Xie, Siyang Song, Feng Liu, Linlin Shen
Recent studies have shown the vulnerability of CNNs under perturbation noises, which is partially caused by the reason that the well-trained CNNs are too biased toward the object texture, i. e., they make predictions mainly based on texture cues.
no code implementations • 29 Dec 2022 • Feng Liu, Xiaoming Liu
The objective of this paper is to learn dense 3D shape correspondence for topology-varying generic objects in an unsupervised manner.
no code implementations • 19 Dec 2022 • Michael R. Lindstrom, Xiaofu Ding, Feng Liu, Anand Somayajula, Deanna Needell
Nonnegative matrix factorization can be used to automatically detect topics within a corpus in an unsupervised fashion.
no code implementations • 9 Dec 2022 • Zhipeng Yu, Jin Lin, Feng Liu, Jiarong Li, Yuxuan Zhao, Yonghua Song, Yanhua Song, Xinzhen Zhang
This paper proposes an optimal sizing and pricing method for RePtA system planning.
no code implementations • 1 Dec 2022 • Zhifeng Chen, Congyu Liao, Xiaozhi Cao, Benedikt A. Poser, Zhongbiao Xu, Wei-Ching Lo, Manyi Wen, Jaejin Cho, Qiyuan Tian, Yaohui Wang, Yanqiu Feng, Ling Xia, Wufan Chen, Feng Liu, Berkin Bilgic
Purpose: This work aims to develop a novel distortion-free 3D-EPI acquisition and image reconstruction technique for fast and robust, high-resolution, whole-brain imaging as well as quantitative T2* mapping.
no code implementations • 25 Nov 2022 • Zhuang Xiong, Yang Gao, Feng Liu, Hongfu Sun
We propose an end-to-end AFfine Transformation Edited and Refined (AFTER) deep neural network for QSM, which is robust against arbitrary acquisition orientation and spatial resolution up to 0. 6 mm isotropic at the finest.
1 code implementation • 27 Oct 2022 • Qizhou Wang, Feng Liu, Yonggang Zhang, Jing Zhang, Chen Gong, Tongliang Liu, Bo Han
Out-of-distribution (OOD) detection aims to identify OOD data based on representations extracted from well-trained deep models.
Ranked #21 on
Out-of-Distribution Detection
on ImageNet-1k vs Places
no code implementations • 26 Oct 2022 • Zhen Fang, Yixuan Li, Jie Lu, Jiahua Dong, Bo Han, Feng Liu
Based on this observation, we next give several necessary and sufficient conditions to characterize the learnability of OOD detection in some practical scenarios.
1 code implementation • 19 Oct 2022 • Minchul Kim, Feng Liu, Anil Jain, Xiaoming Liu
Advances in attention and recurrent modules have led to feature fusion that can model the relationship among the images in the input set.
Ranked #1 on
Face Verification
on IJB-B
(TAR @ FAR=0.001 metric)
no code implementations • 14 Oct 2022 • Chaoqi Chen, Luyao Tang, Feng Liu, Gangming Zhao, Yue Huang, Yizhou Yu
Domain generalization (DG) enables generalizing a learning machine from multiple seen source domains to an unseen target one.
1 code implementation • 4 Oct 2022 • Qiqi Hou, Abhijay Ghildyal, Feng Liu
In this paper, we present a dedicated perceptual quality metric for measuring video frame interpolation results.
no code implementations • 25 Sep 2022 • Wentian Zhang, Haozhe Liu, Feng Liu, Raghavendra Ramachandra
For reconstruction performance, our method achieves the best performance with 0. 834 mIOU and 0. 937 PA. By comparing with the recognition performance on surface 2D fingerprints, the effectiveness of our proposed method on high quality subsurface fingerprint reconstruction is further proved.
no code implementations • 20 Sep 2022 • Qinfei Long, Junhong Liu, Chenhao Ren, Wenqian Yin, Feng Liu, Yunhe Hou
From the perspectives of service life and Braess paradox, it is important and challenging to jointly optimize the DTR placement and operation schedule for changing system state, which is a two-stage combinatorial problem with only discrete variables, suffering from no approximation guarantee and dimension curse only based on traditional models.
1 code implementation • 5 Aug 2022 • Jichang Li, Guanbin Li, Feng Liu, Yizhou Yu
Specifically, our method is divided into two steps: 1) Neighborhood Collective Noise Verification to separate all training samples into a clean or noisy subset, 2) Neighborhood Collective Label Correction to relabel noisy samples, and then auxiliary techniques are used to assist further model optimization.
1 code implementation • 29 Jul 2022 • Ganlong Zhao, Guanbin Li, Yipeng Qin, Feng Liu, Yizhou Yu
In this paper, we propose a two-stage clean samples identification method to address the aforementioned challenge.
Ranked #4 on
Image Classification
on Clothing1M
(using extra training data)
2 code implementations • 27 Jul 2022 • Abhijay Ghildyal, Feng Liu
This paper studies the effect of small misalignment, specifically a small shift between the input and reference image, on existing metrics, and accordingly develops a shift-tolerant similarity metric.
Ranked #24 on
Video Quality Assessment
on MSU SR-QA Dataset
3 code implementations • 20 Jul 2022 • Feng Liu, Minchul Kim, Anil Jain, Xiaoming Liu
To address this problem, we propose a controllable face synthesis model (CFSM) that can mimic the distribution of target datasets in a style latent space.
Ranked #1 on
Face Verification
on IJB-S
no code implementations • 20 Jul 2022 • Feng Liu, Xiaoming Liu
In light of this, we propose a novel image-conditioned neural implicit field, which can leverage 2D supervisions from GAN-generated multi-view images and perform the single-view reconstruction of generic objects.
1 code implementation • 7 Jul 2022 • Chengfeng Zhou, Songchang Chen, Chenming Xu, Jun Wang, Feng Liu, Chun Zhang, Juan Ye, Hefeng Huang, Dahong Qian
In this study, we present a novel normalization technique called window normalization (WIN) to improve the model generalization on heterogeneous medical images, which is a simple yet effective alternative to existing normalization methods.
no code implementations • 5 Jul 2022 • Thu Nguyen-Phuoc, Feng Liu, Lei Xiao
This paper presents a stylized novel view synthesis method.
1 code implementation • 15 Jun 2022 • Ruize Gao, Jiongxiao Wang, Kaiwen Zhou, Feng Liu, Binghui Xie, Gang Niu, Bo Han, James Cheng
The AutoAttack (AA) has been the most reliable method to evaluate adversarial robustness when considerable computational resources are available.
2 code implementations • 11 Jun 2022 • Xiong Peng, Feng Liu, Jingfen Zhang, Long Lan, Junjie Ye, Tongliang Liu, Bo Han
To defend against MI attacks, previous work utilizes a unilateral dependency optimization strategy, i. e., minimizing the dependency between inputs (i. e., features) and outputs (i. e., labels) during training the classifier.
1 code implementation • 9 Jun 2022 • Guangzhi Ma, Jie Lu, Feng Liu, Zhen Fang, Guangquan Zhang
Hence, in this paper, we propose a novel framework to address a new realistic problem called multi-class classification with imprecise observations (MCIMO), where we need to train a classifier with fuzzy-feature observations.
no code implementations • 28 May 2022 • Ye Liu, Chen Shen, Zhaojian Wang, Feng Liu
In multi-infeed hybrid AC-DC (MIDC) systems, the emergency frequency control (EFC) with LCC-HVDC systems participating is of vital importance for system frequency stability.
3 code implementations • ICCV 2023 • Feng Liu, Xiaosong Zhang, Zhiliang Peng, Zonghao Guo, Fang Wan, Xiangyang Ji, Qixiang Ye
Except for the backbone networks, however, other components such as the detector head and the feature pyramid network (FPN) remain trained from scratch, which hinders fully tapping the potential of representation models.
Ranked #5 on
Few-Shot Object Detection
on MS-COCO (30-shot)
1 code implementation • 16 May 2022 • Haozhe Liu, Haoqin Ji, Yuexiang Li, Nanjun He, Haoqian Wu, Feng Liu, Linlin Shen, Yefeng Zheng
With the regularization and orthogonal classifier, a more compact embedding space can be obtained, which accordingly improves the model robustness against adversarial attacks.
no code implementations • 11 Apr 2022 • Jiazhi Liu, Feng Liu
The new stereo matching pipeline have the following advantages: It 1) has better generalization performance than most of the current stereo matching methods; 2) relaxes the limitation of a fixed disparity search range; 3) can handle the scenes that involve both positive and negative disparities, which has more potential applications, such as view synthesis in 3D multimedia and VR/AR.
1 code implementation • 6 Apr 2022 • Xuanyu Zhu, Yang Gao, Feng Liu, Stuart Crozier, Hongfu Sun
The BFRnet method is compared with three conventional BFR methods and one previous deep learning method using simulated and in vivo brains from 4 healthy and 2 hemorrhagic subjects.
no code implementations • 24 Mar 2022 • Xintao Zhao, Feng Liu, Changhe Song, Zhiyong Wu, Shiyin Kang, Deyi Tuo, Helen Meng
In this paper, we proposed an any-to-one VC method using hybrid bottleneck features extracted from CTC-BNFs and CE-BNFs to complement each other advantages.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
no code implementations • 7 Mar 2022 • Xinwen Liu, Jing Wang, Cheng Peng, Shekhar S. Chandra, Feng Liu, S. Kevin Zhou
In this paper, we investigate the use of such side information as normalisation parameters in a convolutional neural network (CNN) to improve undersampled MRI reconstruction.
no code implementations • 6 Mar 2022 • Xinyu Zhang, Vincent CS. Lee, Jia Rong, James C. Lee, Jiangning Song, Feng Liu
Therefore, this study proposed a novel multi-channel convolutional neural network (CNN) architecture to address the multi-class classification task of thyroid disease.
1 code implementation • 7 Feb 2022 • Xilie Xu, Jingfeng Zhang, Feng Liu, Masashi Sugiyama, Mohan Kankanhalli
Furthermore, we theoretically find that the adversary can also degrade the lower bound of a TST's test power, which enables us to iteratively minimize the test criterion in order to search for adversarial pairs.
1 code implementation • 24 Jan 2022 • Weijun Chen, Yanze Wang, Chengshuo Du, Zhenglong Jia, Feng Liu, Ran Chen
However, current models do not incorporate the trade-off between efficiency and flexibility and lack the guidance of domain knowledge in the design of graph structure learning algorithms.
no code implementations • 9 Jan 2022 • Kien Nguyen, Clinton Fookes, Sridha Sridharan, YingLi Tian, Feng Liu, Xiaoming Liu, Arun Ross
The rapid emergence of airborne platforms and imaging sensors are enabling new forms of aerial surveillance due to their unprecedented advantages in scale, mobility, deployment and covert observation capabilities.
no code implementations • CVPR 2022 • Long Mai, Feng Liu
The model is trained end-to-end on a video to jointly determine the phase-shift values at each time with the mapping from the phase-shifted sinusoidal functions to the corresponding frame, enabling an implicit video representation.
no code implementations • 3 Dec 2021 • Ziwang Fu, Feng Liu, HanYang Wang, Siyuan Shen, Jiahao Zhang, Jiayin Qi, Xiangling Fu, Aimin Zhou
Learning modality-fused representations and processing unaligned multimodal sequences are meaningful and challenging in multimodal emotion recognition.
no code implementations • 27 Nov 2021 • Yiwei Qiu, Jin Lin, Zhipeng Zhou, Ningyi Dai, Feng Liu, Yonghua Song
To fill this gap, this article finds that an accurate SDE model for PV power can be constructed by only using the cheap data from low-resolution public weather reports.
2 code implementations • 22 Nov 2021 • Wentian Zhang, Haozhe Liu, Feng Liu, Raghavendra Ramachandra, Christoph Busch
The proposed method, first introduces task specific features from other face related task, then, we design a Cross-Modal Adapter using a Graph Attention Network (GAT) to re-map such features to adapt to PAD task.
1 code implementation • 15 Nov 2021 • Feng Liu, Zhe Kong, Haozhe Liu, Wentian Zhang, Linlin Shen
The proposed method learns important features of fingerprint images by weighing the importance of each channel and identifying discriminative channels and "noise" channels.
2 code implementations • 15 Nov 2021 • Yang Gao, Zhuang Xiong, Amir Fazlollahi, Peter J Nestor, Viktor Vegh, Fatima Nasrallah, Craig Winter, G. Bruce Pike, Stuart Crozier, Feng Liu, Hongfu Sun
In addition, experiments on patients with intracranial hemorrhage and multiple sclerosis were also performed to test the generalization of the novel neural networks.
no code implementations • NeurIPS 2021 • Feng Liu, Xiaoming Liu
With complementary supervision from both 3D detection and reconstruction, one enables the 3D voxel features to be geometry and context preserving, benefiting both tasks. The effectiveness of our approach is demonstrated through 3D detection and reconstruction in single object and multiple object scenarios.
1 code implementation • 3 Nov 2021 • Ziwang Fu, Feng Liu, HanYang Wang, Jiayin Qi, Xiangling Fu, Aimin Zhou, Zhibin Li
Firstly, we perform representation learning for audio and video modalities to obtain the semantic features of the two modalities by efficient ResNeXt and 1D CNN, respectively.
1 code implementation • 22 Oct 2021 • Feng Liu, HanYang Wang, Jiahao Zhang, Ziwang Fu, Aimin Zhou, Jiayin Qi, Zhibin Li
Quantitative and Qualitative results are presented on several compound expressions, and the experimental results demonstrate the feasibility and the potential of EvoGAN.
no code implementations • 26 Sep 2021 • Peng Yang, Feng Liu, Wei Wei, Zhaojian Wang
Estimating the stability boundary is a fundamental and challenging problem in transient stability studies.
no code implementations • 18 Sep 2021 • Haozhe Liu, Hanbang Liang, Xianxu Hou, Haoqian Wu, Feng Liu, Linlin Shen
Generative Adversarial Networks (GANs) have been widely adopted in various fields.