no code implementations • CCL 2020 • Lin Wang, Juntao Li, Rui Yan, Dongyan Zhao
Story generation is a challenging task of automatically creating natural languages to describe a sequence of events, which requires outputting text with not only a consistent topic but also novel wordings.
no code implementations • 25 Apr 2024 • Xu Zheng, Pengyuan Zhou, Athanasios V. Vasilakos, Lin Wang
However, as the distinct projections make it less possible to directly transfer knowledge between domains, we then propose Reliable Panoramic Prototype Adaptation Module (RP2AM) to transfer knowledge at both prediction and prototype levels.
no code implementations • 23 Apr 2024 • Bohao Lu, Zhiqing Wei, Huici Wu, Xinrui Zeng, Lin Wang, Xi Lu, Dongyang Mei, Zhiyong Feng
Utilizing widely distributed communication nodes to achieve environmental reconstruction is one of the significant scenarios for Integrated Sensing and Communication (ISAC) and a crucial technology for 6G.
no code implementations • 19 Apr 2024 • Xi Lu, Zhiqing Wei, Ruizhong Xu, Lin Wang, Bohao Lu, Jinghui Piao
Specifically, a multiple signal classification (MUSIC)-based symbol-level fusion method is proposed for UAV localization and velocity estimation, consisting of a single-BS preprocessing step and a lattice points searching step.
no code implementations • 15 Apr 2024 • Siyuan Li, Youshao Xiao, Fanzhuang Meng, Lin Ju, Lei Liang, Lin Wang, Jun Zhou
Offline batch inference is a common task in the industry for deep learning applications, but it can be challenging to ensure stability and performance when dealing with large amounts of data and complicated inference pipelines.
no code implementations • 15 Apr 2024 • Youshao Xiao, Lin Ju, Zhenglei Zhou, Siyuan Li, ZhaoXin Huan, Dalong Zhang, Rujie Jiang, Lin Wang, Xiaolu Zhang, Lei Liang, Jun Zhou
Previous works only address part of the stragglers and could not adaptively solve various stragglers in practice.
no code implementations • 10 Apr 2024 • Yexin Liu, Weiming Zhang, Athanasios V. Vasilakos, Lin Wang
Specifically, to address the first challenge, we propose a pseudo-label correction strategy that utilizes a Beta Mixture Model to predict the probability of mis-clustering based network's memory effect and rectifies the correspondence by adding a perceptual term to contrastive learning.
no code implementations • 6 Apr 2024 • Jingyi Pan, Zipeng Wang, Lin Wang
However, multi-modal semantic occupancy prediction approaches have encountered difficulties in dealing with the modality heterogeneity, modality misalignment, and insufficient modality interactions that arise during the fusion of different modalities data, which may result in the loss of important geometric and semantic information.
no code implementations • 4 Apr 2024 • Haoran Li, Haolin Shi, Wenli Zhang, Wenjun Wu, Yong Liao, Lin Wang, Lik-Hang Lee, Pengyuan Zhou
Text-to-3D scene generation holds immense potential for the gaming, film, and architecture sectors.
no code implementations • 1 Apr 2024 • Guoqiang Liang, Kanghao Chen, Hangyu Li, Yunfan Lu, Lin Wang
To this end, we propose a real-world (indoor and outdoor) dataset comprising over 30K pairs of images and events under both low and normal illumination conditions.
no code implementations • 28 Mar 2024 • Tongyan Hua, Lin Wang
The goal of our benchmark is to 1) gain an intuition of how different INRs and rendering functions impact mapping and localization and 2) establish a unified evaluation protocol w. r. t.
no code implementations • 25 Mar 2024 • Weiming Zhang, Yexin Liu, Xu Zheng, Lin Wang
To this end, we propose a novel framework, called GoodSAM, that introduces a teacher assistant (TA) to provide semantic information, integrated with SAM to generate ensemble logits to achieve knowledge transfer.
no code implementations • 25 Mar 2024 • Hao Ai, Lin Wang
With a flexible ERP image encoder, it includes an ICOSAP point encoder, and a Bi-projection Bi-attention Fusion (B2F) module (totally ~1M parameters).
no code implementations • 21 Mar 2024 • Xu Zheng, Lin Wang
To this end, we propose a novel framework, dubbed EventDance for this unsupervised source-free cross-modal adaptation problem.
no code implementations • 19 Mar 2024 • Jiazhou Zhou, Xu Zheng, Yuanhuiyi Lyu, Lin Wang
Then, we propose a conceptual reasoning-based uncertainty estimation module, which simulates the recognition process to enrich the semantic representation.
no code implementations • 19 Mar 2024 • Xu Zheng, Pengyuan Zhou, Athanasios V. Vasilakos, Lin Wang
However, the distinct projection discrepancies between source and target domains impede the direct knowledge transfer; thus, we propose a panoramic prototype adaptation module (PPAM) to integrate panoramic prototypes from the extracted knowledge for adaptation.
no code implementations • 19 Mar 2024 • Yuanhuiyi Lyu, Xu Zheng, Jiazhou Zhou, Lin Wang
To make this possible, we 1) construct a knowledge base of text embeddings with the help of LLMs and multi-modal LLMs; 2) adaptively build LLM-augmented class-wise embedding center on top of the knowledge base and encoded visual embeddings; 3) align all the embeddings to the LLM-augmented embedding center via contrastive learning to achieve a unified and balanced representation space.
1 code implementation • 17 Mar 2024 • Lutao Jiang, Lin Wang
However, a hurdle of existing methods is the low efficiency, per-prompt optimization for a single 3D object.
no code implementations • 14 Mar 2024 • Duotun Wang, Hengyu Meng, Zeyu Cai, Zhijing Shao, Qianxi Liu, Lin Wang, Mingming Fan, Ying Shan, Xiaohang Zhan, Zeyu Wang
We present HeadEvolver, a novel framework to generate stylized head avatars from text guidance.
no code implementations • 12 Mar 2024 • Jiahao Zhang, Lin Wang, Shijie Wang, Wenqi Fan
Graph Neural Networks (GNNs) have achieved remarkable success in various real-world applications.
no code implementations • 6 Feb 2024 • Jinjing Zhu, Zhedong Hu, Tae-Kyun Kim, Lin Wang
Our framework incorporates two novel components: energy-based feature fusion (EB2F) and energy-based reliable fusion Assessment (RFA) modules.
no code implementations • 31 Jan 2024 • Yuanhuiyi Lyu, Xu Zheng, Lin Wang
It extracts entity features from the multi-modal representations powered by our specially constructed entity knowledge graph; 2) Attribute Fusion Branch adeptly preserves and processes the attributes.
no code implementations • 30 Jan 2024 • Pengyuan Zhou, Lin Wang, Zhi Liu, Yanbin Hao, Pan Hui, Sasu Tarkoma, Jussi Kangasharju
This paper offers an insightful examination of how currently top-trending AI technologies, i. e., generative artificial intelligence (Generative AI) and large language models (LLMs), are reshaping the field of video technology, including video generation, understanding, and streaming.
no code implementations • 19 Jan 2024 • Hao Ai, Zidong Cao, Haonan Lu, Chen Chen, Jian Ma, Pengyuan Zhou, Tae-Kyun Kim, Pan Hui, Lin Wang
To this end, we propose a transformer-based 360 image outpainting framework called Dream360, which can generate diverse, high-fidelity, and high-resolution panoramas from user-selected viewports, considering the spherical properties of 360 images.
no code implementations • 10 Jan 2024 • Jinjing Zhu, Yucheng Chen, Lin Wang
We then propose a Task-irrelevant data-Guided Knowledge Transfer (TGKT) module that transfers knowledge from the source model to the target model by leveraging the paired TI data.
no code implementations • 9 Jan 2024 • Youshao Xiao, Shangchun Zhao, Zhenglei Zhou, ZhaoXin Huan, Lin Ju, Xiaolu Zhang, Lin Wang, Jun Zhou
However, the existing systems are not tailored for meta learning based DLRM models and have critical problems regarding efficiency in distributed training in the GPU cluster.
no code implementations • 6 Jan 2024 • Tongyan Hua, Haotian Bai, Zidong Cao, Ming Liu, DaCheng Tao, Lin Wang
In this paper, we introduce Hi-Map, a novel monocular dense mapping approach based on Neural Radiance Field (NeRF).
no code implementations • 26 Dec 2023 • Kun Lan, Haoran Li, Haolin Shi, Wenjun Wu, Yong Liao, Lin Wang, Pengyuan Zhou
Recently, 3D Gaussian, as an explicit 3D representation method, has demonstrated strong competitiveness over NeRF (Neural Radiance Fields) in terms of expressing complex scenes and training duration.
no code implementations • 22 Dec 2023 • Yin Luo, Qingchao Kong, Nan Xu, Jia Cao, Bao Hao, Baoyu Qu, Bo Chen, Chao Zhu, Chenyang Zhao, Donglei Zhang, Fan Feng, Feifei Zhao, Hailong Sun, Hanxuan Yang, Haojun Pan, Hongyu Liu, Jianbin Guo, Jiangtao Du, Jingyi Wang, Junfeng Li, Lei Sun, Liduo Liu, Lifeng Dong, Lili Liu, Lin Wang, Liwen Zhang, Minzheng Wang, Pin Wang, Ping Yu, Qingxiao Li, Rui Yan, Rui Zou, Ruiqun Li, Taiwen Huang, Xiaodong Wang, Xiaofei Wu, Xin Peng, Xina Zhang, Xing Fang, Xinglin Xiao, Yanni Hao, Yao Dong, Yigang Wang, Ying Liu, Yongyu Jiang, Yungan Wang, Yuqi Wang, Zhangsheng Wang, Zhaoxin Yu, Zhen Luo, Wenji Mao, Lei Wang, Dajun Zeng
As the latest advancements in natural language processing, large language models (LLMs) have achieved human-level language understanding and generation abilities in many real-world tasks, and even have been regarded as a potential path to the artificial general intelligence.
no code implementations • 20 Dec 2023 • Zixiang Wei, Yiting Wang, Lichao Sun, Athanasios V. Vasilakos, Lin Wang
A class prediction block is then designed to classify the degradation information by calculating the structure similarity scores on the reflectance map and mean square error on the illumination map.
no code implementations • 31 Oct 2023 • Lin Wang, Zhichao Wang, Xi Leng, Xiaoying Tang
Preserving privacy and reducing communication costs for edge users pose significant challenges in recommendation systems.
1 code implementation • 17 Oct 2023 • Lin Wang, Wenqi Fan, Jiatong Li, Yao Ma, Qing Li
The rapid development of Internet technology has given rise to a vast amount of graph-structured data.
no code implementations • 11 Oct 2023 • Jinzhu Jia, Zhiqing Wei, Ruiyun Zhang, Lin Wang
Despite the millimeter wave technology fulfills the low-latency and high data transmission, it will cause severe Doppler Frequency Shift (DFS) for high-speed vehicular network, which tremendously damages the communication performance.
no code implementations • 11 Oct 2023 • Xu Zheng, Yunhao Luo, Pengyuan Zhou, Lin Wang
Due to the completely different characteristics of ViT and CNN and the long-existing capacity gap between teacher and student models in Knowledge Distillation (KD), directly transferring the cross-model knowledge is non-trivial.
1 code implementation • 10 Oct 2023 • Bohao Lu, Zhiqing Wei, Lin Wang, Ruiyun Zhang, Zhiyong Feng
Integrated Sensing and Communication(ISAC) has become a key technology for the 5th generation (5G) and 6th generation (6G) wireless communications due to its high spectrum utilization efficiency.
no code implementations • 7 Oct 2023 • Jingyi Pan, Sihang Li, Yucheng Chen, Jinjing Zhu, Lin Wang
Moreover, semantic segmentation models trained on daytime datasets often face difficulties in generalizing effectively to nighttime conditions.
no code implementations • 28 Sep 2023 • Wei Feng, Lie Ju, Lin Wang, Kaimin Song, ZongYuan Ge
We conducted extensive experiments on the dermatology dataset ISIC 2019, and the experimental results show that our approach can effectively leverage knowledge from known categories to discover new semantic categories.
no code implementations • 22 Sep 2023 • Tianbo Pan, Zidong Cao, Lin Wang
Firstly, we propose an attention-based interactive fusion (AIF) module that applies spatial priors of events and frames as the initial masks and learns the consensus regions to guide the inter-modal feature fusion.
no code implementations • 17 Sep 2023 • Jiahang Cao, Xu Zheng, Yuanhuiyi Lyu, Jiaxu Wang, Renjing Xu, Lin Wang
The ability to detect objects in all lighting (i. e., normal-, over-, and under-exposed) conditions is crucial for real-world applications, such as self-driving. Traditional RGB-based detectors often fail under such varying lighting conditions. Therefore, recent works utilize novel event cameras to supplement or guide the RGB modality; however, these methods typically adopt asymmetric network structures that rely predominantly on the RGB modality, resulting in limited robustness for all-day detection.
1 code implementation • 24 Aug 2023 • Saeid Ghafouri, Kamran Razavi, Mehran Salmani, Alireza Sanaee, Tania Lorido-Botran, Lin Wang, Joseph Doyle, Pooyan Jamshidi
Model variants are different versions of pre-trained models for the same deep learning task with variations in resource requirements, latency, and accuracy.
no code implementations • ICCV 2023 • Zidong Cao, Hao Ai, Yan-Pei Cao, Ying Shan, XiaoHu Qie, Lin Wang
The M\"obius transformation is typically employed to further provide the opportunity for movement and zoom on ODIs, but applying it to the image level often results in blurry effect and aliasing problem.
no code implementations • ICCV 2023 • Xu Zheng, Tianbo Pan, Yunhao Luo, Lin Wang
The aim is to tackle the domain gaps caused by the style disparities and distortion problem from the non-uniformly distributed pixels of equirectangular projection (ERP).
no code implementations • 6 Aug 2023 • Jiazhou Zhou, Xu Zheng, Yuanhuiyi Lyu, Lin Wang
Accordingly, we first introduce a novel event encoder that subtly models the temporal information from events and meanwhile, generates event prompts for modality bridging.
1 code implementation • ICCV 2023 • Qiufan Ji, Lin Wang, Cong Shi, Shengshan Hu, Yingying Chen, Lichao Sun
In this paper, we first establish a comprehensive, and rigorous point cloud adversarial robustness benchmark to evaluate adversarial robustness, which can provide a detailed understanding of the effects of the defense and attack methods.
no code implementations • ICCV 2023 • Haotian Bai, Yiqi Lin, Yize Chen, Lin Wang
The explicit neural radiance field (NeRF) has gained considerable interest for its efficient training and fast inference capabilities, making it a promising direction such as virtual reality and gaming.
no code implementations • ICCV 2023 • Jinjing Zhu, Yunhao Luo, Xu Zheng, Hao Wang, Lin Wang
In this paper, we strive to answer the question "how to collaboratively learn convolutional neural network (CNN)-based and vision transformer (ViT)-based models by selecting and exchanging the reliable knowledge between them for semantic segmentation?"
no code implementations • 13 Jul 2023 • Lin Wang, Zhiqing Wei, Liyan Su, Zhiyong Feng, Huici Wu, Dongsheng Xue
Integrated sensing and communication (ISAC) will greatly enhance the efficiency of physical resource utilization.
no code implementations • 10 Jul 2023 • Yexin Liu, Weiming Zhang, Guoyang Zhao, Jinjing Zhu, Athanasios Vasilakos, Lin Wang
we propose the first test-time adaptation (TTA) framework, dubbed Night-TTA, to address the problems for nighttime RGBT semantic segmentation without access to the source (daytime) data during adaptation.
no code implementations • 1 Jul 2023 • Dalong Zhang, Xianzheng Song, Zhiyang Hu, Yang Li, Miao Tao, Binbin Hu, Lin Wang, Zhiqiang Zhang, Jun Zhou
Inspired by the philosophy of ``think-like-a-vertex", a GAS-like (Gather-Apply-Scatter) schema is proposed to describe the computation paradigm and data flow of GNN inference.
no code implementations • 27 Jun 2023 • Yunfan Lu, Guoqiang Liang, Lin Wang
Although events possess high temporal resolution, beneficial for video frame interpolation (VFI), a hurdle in tackling this task is the lack of paired GS frames.
1 code implementation • 25 Jun 2023 • Lin Wang, Xiufen Ye, Liqiang Zhu, Weijie Wu, JianGuo Zhang, Huiming Xing, Chao Hu
Notably, there is a lack of research on the application of SAM to sonar imaging.
no code implementations • 1 Jun 2023 • Tongyan Hua, Haotian Bai, Zidong Cao, Lin Wang
We then propose the sliding window sampler to reduce uncertainty by incorporating coherent geometric cues from observed frames during map initialization to enhance convergence.
no code implementations • 25 May 2023 • Yiqi Lin, Hao Wu, Ruichen Wang, Haonan Lu, Xiaodong Lin, Hui Xiong, Lin Wang
Generating and editing a 3D scene guided by natural language poses a challenge, primarily due to the complexity of specifying the positional relations and volumetric changes within the 3D space.
1 code implementation • 24 May 2023 • Yunfan Lu, Guoqiang Liang, Lin Wang
Images captured by rolling shutter (RS) cameras under fast camera motion often contain obvious image distortions and blur, which can be modeled as a row-wise combination of a sequence of global shutter (GS) frames within the exposure time naturally, recovering high-frame-rate GS sharp frames from an RS blur image needs to simultaneously consider RS correction, deblur, and frame interpolation Taking this task is nontrivial, and to our knowledge, no feasible solutions exist by far.
no code implementations • 13 May 2023 • Chengpei Wu, Yang Lou, Lin Wang, Junli Li, Xiang Li, Guanrong Chen
This paper addresses the robustness of a network to sustain its connectivity and controllability against malicious attacks.
no code implementations • 10 May 2023 • Lin Wang, Jiasheng Wu, Yue Gao, Jingjing Zhang
Cloud native technology has revolutionized 5G beyond and 6G communication networks, offering unprecedented levels of operational automation, flexibility, and adaptability.
no code implementations • 17 Apr 2023 • Zidong Cao, Hao Ai, Athanasios V. Vasilakos, Lin Wang
Our key idea is to transfer the scene structural knowledge from the HR image modality and the corresponding LR depth maps to achieve the goal of HR depth estimation without any extra inference cost.
no code implementations • 8 Apr 2023 • Lie Ju, Yicheng Wu, Wei Feng, Zhen Yu, Lin Wang, Zhuoting Zhu, ZongYuan Ge
Therefore, in this paper, we proposed a unified framework to leverage these unseen unlabeled data for open-scenario semi-supervised medical image classification.
no code implementations • CVPR 2023 • Xu Zheng, Jinjing Zhu, Yexin Liu, Zidong Cao, Chong Fu, Lin Wang
Moreover, adversarial intra-projection training is proposed to reduce the inherent gap, between the features of the pinhole images and those of the ERP and TP images, respectively.
no code implementations • 24 Mar 2023 • Haotian Bai, Yuanhuiyi Lyu, Lutao Jiang, Sijia Li, Haonan Lu, Xiaodong Lin, Lin Wang
To tackle the issue of 'guidance collapse' and enhance consistency, we propose a novel framework, dubbed CompoNeRF, by integrating an editable 3D scene layout with object specific and scene-wide guidance mechanisms.
1 code implementation • CVPR 2023 • Yunfan Lu, Zipeng Wang, Minjie Liu, Hongjian Wang, Lin Wang
In addition, we collect a real-world dataset with spatially aligned events and RGB frames.
1 code implementation • CVPR 2023 • Jinjing Zhu, Haotian Bai, Lin Wang
We solve this problem from a game theory's perspective with the proposed model dubbed as PMTrans, which bridges source and target domains with an intermediate domain.
Ranked #1 on Unsupervised Domain Adaptation on Office-Home
1 code implementation • 22 Mar 2023 • Jiantao Wu, Shentong Mo, Muhammad Awais, Sara Atito, Xingshen Zhang, Lin Wang, Xiang Yang
One major challenge of disentanglement learning with variational autoencoders is the trade-off between disentanglement and reconstruction fidelity.
no code implementations • 21 Mar 2023 • Hao Ai, Zidong Cao, Yan-Pei Cao, Ying Shan, Lin Wang
Depth estimation from a monocular 360{\deg} image is a burgeoning problem owing to its holistic sensing of a scene.
no code implementations • 19 Mar 2023 • Yuan Bai, Zengyang Shao, Xiao Zhang, Ruohan Chen, Lin Wang, Sheikh Taslim Ali, Tianmu Chen, Eric H. Y. Lau, Dong-Yan Jin, Zhanwei Du
China adjusted the zero-COVID strategy in late 2022, triggering an unprecedented Omicron wave.
1 code implementation • 17 Feb 2023 • Xu Zheng, Yexin Liu, Yunfan Lu, Tongyan Hua, Tianbo Pan, Weiming Zhang, DaCheng Tao, Lin Wang
Event cameras are bio-inspired sensors that capture the per-pixel intensity changes asynchronously and produce event streams encoding the time, pixel position, and polarity (sign) of the intensity changes.
1 code implementation • 6 Feb 2023 • Matthew Kosko, Lin Wang, Michele Santacatterina
The bag of little bootstraps has been proposed in non-causal settings for large data but has not yet been applied to evaluate the properties of estimators of causal effects.
no code implementations • 29 Jan 2023 • Lin Wang, Zhichao Wang, Sai Praneeth Karimireddy, Xiaoying Tang
Ensuring fairness is a crucial aspect of Federated Learning (FL), which enables the model to perform consistently across all clients.
no code implementations • 8 Jan 2023 • Fengping Wang, Jie Li, Chun Qi, Lin Wang, Pan Wang
A micro-expression is a spontaneous unconscious facial muscle movement that can reveal the true emotions people attempt to hide.
no code implementations • CVPR 2023 • Hao Ai, Zidong Cao, Yan-Pei Cao, Ying Shan, Lin Wang
Depth estimation from a monocular 360 image is a burgeoning problem owing to its holistic sensing of a scene.
no code implementations • 13 Dec 2022 • Zhenyu Wu, Lin Wang, Wei Wang, Qing Xia, Chenglizhao Chen, Aimin Hao, Shuo Li
This paper attempts to answer this unexplored question by proving a hypothesis: there is a point-labeled dataset where saliency models trained on it can achieve equivalent performance when trained on the densely annotated dataset.
no code implementations • 11 Dec 2022 • Yiqi Lin, Huabin Zheng, Huaping Zhong, Jinjing Zhu, Weijia Li, Conghui He, Lin Wang
To address these issues, we build a task-specific self-supervised pre-training framework from a data selection perspective based on a simple hypothesis that pre-training on the unlabeled samples with similar distribution to the target task can bring substantial performance gains.
no code implementations • 19 Nov 2022 • Bo Liang, Lin Wang, Xiaofan Wang
In this paper, we propose an Autoregressive GNN-ODE GRU Model (AGOG) to learn and capture the continuous network dynamics and realize predictions of node states at an arbitrary time in a data-driven manner.
no code implementations • 27 Oct 2022 • Pan Wang, Jie Li, Jieru Chen, Lin Wang, Chun Qi
To take full exploration of the constraints between spectra, the coefficients corresponding to the convolution kernel are constrained by the L_(2, 1)norm to improve spectral accuracy.
1 code implementation • 25 Oct 2022 • Zhenyu Wu, Lin Wang, Wei Wang, Tengfei Shi, Chenglizhao Chen, Aimin Hao, Shuo Li
In this paper, we propose a novel yet effective method for SOD, coined SODGAN, which can generate infinite high-quality image-mask pairs requiring only a few labeled data, and these synthesized pairs can replace the human-labeled DUTS-TR to train any off-the-shelf SOD model.
no code implementations • 11 Oct 2022 • Lin Wang, Xiufen Ye, Donghao Zhang, Wanji He, Lie Ju, Yi Luo, Huan Luo, Xin Wang, Wei Feng, Kaimin Song, Xin Zhao, ZongYuan Ge
In this work, we introduce the image matting into the 3D scenes and use the alpha matte, i. e., a soft mask, to describe lesions in a 3D medical image.
no code implementations • 21 Sep 2022 • Wenqi Fan, Xiangyu Zhao, Xiao Chen, Jingran Su, Jingtong Gao, Lin Wang, Qidong Liu, Yiqi Wang, Han Xu, Lei Chen, Qing Li
As one of the most successful AI-powered applications, recommender systems aim to help people make appropriate decisions in an effective and efficient way, by providing personalized suggestions in many aspects of our lives, especially for various human-oriented online services such as e-commerce platforms and social media sites.
no code implementations • 16 Sep 2022 • Lin Wang, Xiufen Ye, Donghao Zhang, Wanji He, Lie Ju, Xin Wang, Wei Feng, Kaimin Song, Xin Zhao, ZongYuan Ge
It can be caused by many factors, such as the imaging properties, pathological anatomy, and the weak representation of the binary masks, which brings challenges to accurate 3D segmentation.
no code implementations • 6 Sep 2022 • Xu Zheng, Yunhao Luo, Chong Fu, Kangcheng Liu, Lin Wang
To this end, we propose class-aware feature consistency distillation (CFCD) that first leverages the outputs of each student as the pseudo labels and generates class-aware feature (CF) maps for knowledge transfer between the two students.
no code implementations • 5 Aug 2022 • Tong Xu, Lin Wang, Wu Ning, Chunyan Lyu, Kejun Wang, Chenhui Wang
As a study on the efficient usage of data, Multi-source Unsupervised Domain Adaptation transfers knowledge from multiple source domains with labeled data to an unlabeled target domain.
Multi-Source Unsupervised Domain Adaptation Unsupervised Domain Adaptation
3 code implementations • 27 Jul 2022 • Yusheng Wang, Yunfan Lu, Ye Gao, Lin Wang, Zhihang Zhong, Yinqiang Zheng, Atsushi Yamashita
Video deblurring is a highly under-constrained problem due to the spatially and temporally varying blur.
1 code implementation • 8 Jul 2022 • Wei Feng, Lin Wang, Lie Ju, Xin Zhao, Xin Wang, Xiaoyu Shi, ZongYuan Ge
Existing unsupervised domain adaptation methods based on adversarial learning have achieved good performance in several medical imaging tasks.
1 code implementation • 4 Jun 2022 • Yunfan Lu, Yiqi Lin, Hao Wu, Yunhao Luo, Xu Zheng, Hui Xiong, Lin Wang
Image restoration and enhancement is a process of improving the image quality by removing degradations, such as noise, blur, and resolution degradation.
1 code implementation • 21 May 2022 • Hao Ai, Zidong Cao, Jinjing Zhu, Haotian Bai, Yucheng Chen, Lin Wang
Omnidirectional image (ODI) data is captured with a 360x180 field-of-view, which is much wider than the pinhole cameras and contains richer spatial information than the conventional planar images.
no code implementations • 28 Apr 2022 • Huadong Li, Yuefeng Wang, Ying WEI, Lin Wang, Li Ge
Finally, the distance between vehicle appearances is presented by the discriminative region features and multi-view features together.
no code implementations • 7 Apr 2022 • Lie Ju, Yicheng Wu, Lin Wang, Zhen Yu, Xin Zhao, Xin Wang, Paul Bonnington, ZongYuan Ge
To address this, in this paper, we propose a curriculum learning-based framework called Flexible Sampling for the long-tailed skin lesion classification task.
no code implementations • 7 Apr 2022 • Junjie Zhou, Zhaokun Shen, Xiaofan Wang, Lin Wang
Combined with the designed vehicle planning and control algorithm, the unsignalized intersection management strategy consists of two parts: the heuristic priority queues based right of way allocation (HPQ) algorithm, and the vehicle planning and control algorithm.
no code implementations • 4 Apr 2022 • Xin Zhao, Xu Wu, Lin Wang, Pengkun Hou, Qinfei Li, Yuxuan Zhang, Bo Yang
In experiments, the method is verified on actual 3D Micro-CT images and 2D BSE images.
1 code implementation • 27 Mar 2022 • Nan Miles Xi, Lin Wang, Chuanjia Yang
Current human assessment of thyroid nodule malignancy is prone to errors and may not guarantee an accurate preoperative diagnosis.
no code implementations • 20 Mar 2022 • Yang Lou, Ruizi Wu, Junli Li, Lin Wang, Xiang Li, Guanrong Chen
Extensive experimental studies on both synthetic and real-world networks, both directed and undirected, demonstrate that 1) the proposed LFR-CNN performs better than other two state-of-the-art prediction methods, with significantly lower prediction errors; 2) LFR-CNN is insensitive to the variation of the network size, which significantly extends its applicability; 3) although LFR-CNN needs more time to perform feature learning, it can achieve accurate prediction faster than attack simulations; 4) LFR-CNN not only can accurately predict network robustness, but also provides a good indicator for connectivity robustness, better than the classical spectral measures.
no code implementations • 4 Mar 2022 • Zixuan Yang, Xiaofan Wang, Lin Wang
This paper explores the state controllability of multilayer networked sampled-data systems with inter-layer couplings, where zero-order holders (ZOHs) are on the control and transmission channels.
no code implementations • 18 Feb 2022 • Zixuan Yang, Xiaofan Wang, Lin Wang
The controllability of networked sampled-data systems with zero-order holders on the control and transmission channels is explored, where single- and multi-rate sampling patterns are considered, respectively.
no code implementations • CVPR 2022 • Youngho Yoon, Inchul Chung, Lin Wang, Kuk-Jin Yoon
In this paper, we propose SphereSR, a novel framework to generate a continuous spherical image representation from an LR 360deg image, with the goal of predicting the RGB values at given spherical coordinates for superresolution with an arbitrary 360deg image projection.
no code implementations • 13 Dec 2021 • Youngho Yoon, Inchul Chung, Lin Wang, Kuk-Jin Yoon
We then propose a spherical local implicit image function (SLIIF) to predict RGB values at the spherical coordinates.
no code implementations • 13 Dec 2021 • Taewoo Kim, Jeongmin Lee, Lin Wang, Kuk-Jin Yoon
To this end, we first derive a new formulation for event-guided motion deblurring by considering the exposure and readout time in the video frame acquisition process.
no code implementations • 12 Dec 2021 • Changgyoon Oh, Wonjune Cho, Daehee Park, Yujeong Chae, Lin Wang, Kuk-Jin Yoon
Providing omnidirectional depth along with RGB information is important for numerous applications, eg, VR/AR.
1 code implementation • CVPR 2021 • Lin Wang, Yujeong Chae, Sung-Hoon Yoon, Tae-Kyun Kim, Kuk-Jin Yoon
To enable KD across the unpaired modalities, we first propose a bidirectional modality reconstruction (BMR) module to bridge both modalities and simultaneously exploit them to distill knowledge via the crafted pairs, causing no extra computation in the inference.
Ranked #7 on Event-based Object Segmentation on MVSEC-SEG
no code implementations • 17 Nov 2021 • Lie Ju, Zhen Yu, Lin Wang, Xin Zhao, Xin Wang, Paul Bonnington, ZongYuan Ge
From a modeling perspective, most deep learning models trained on these datasets may lack the ability to generalize to rare diseases where only a few available samples are presented for training.
1 code implementation • 20 Oct 2021 • Lin Wang, Kuk-Jin Yoon
High dynamic range (HDR) imaging is a technique that allows an extensive dynamic range of exposures, which is important in image processing, computer graphics, and computer vision.
1 code implementation • 28 Sep 2021 • Yujeong Chae, Lin Wang, Kuk-Jin Yoon
Importantly, to find the part having the most similar edge structure of target, we propose to correlate the embedded events at two timestamps to compute the target edge similarity.
1 code implementation • 22 Sep 2021 • Ding Lyu, Yuan Yuan, Lin Wang, Xiaofan Wang, Alex Pentland
Long ties, the social ties that bridge different communities, are widely believed to play crucial roles in spreading novel information in social networks.
1 code implementation • ICCV 2021 • Lin Wang, Yujeong Chae, Kuk-Jin Yoon
Event cameras are novel sensors that perceive the per-pixel intensity changes and output asynchronous event streams with high dynamic range and less motion blur.
Ranked #4 on Event-based Object Segmentation on MVSEC-SEG
1 code implementation • 14 Aug 2021 • Yitian Chen, Kunlong Chen, Kunjin Chen, Lin Wang
From our perspective, the major challenge of this competition is how to extend the classical DQN framework to traffic signals control in real-world complex road network and traffic flow situation.
no code implementations • 4 Aug 2021 • Wei Feng, Lie Ju, Lin Wang, Kaimin Song, Xin Wang, Xin Zhao, Qingyi Tao, ZongYuan Ge
In this work, we explore unsupervised domain adaptation in retinal vessel segmentation by using entropy-based adversarial learning and transfer normalization layer to train a segmentation network, which generalizes well across domains and requires no annotation of the target domain.
1 code implementation • 18 Jun 2021 • Lin Wang, Lie Ju, Xin Wang, Wanji He, Donghao Zhang, Yelin Huang, Zhiwen Yang, Xuan Yao, Xin Zhao, Xiufen Ye, ZongYuan Ge
None of them investigate the influence of the ambiguous nature of the lesion itself. Inspired by image matting, this paper introduces alpha matte as a soft mask to represent uncertain areas in medical scenes and accordingly puts forward a new uncertainty quantification method to fill the gap of uncertainty research for lesion structure.
no code implementations • 18 Jun 2021 • Baoming Yan, Lin Wang, Ke Gao, Bo Gao, Xiao Liu, Chao Ban, Jiang Yang, Xiaobo Li
Video affective understanding, which aims to predict the evoked expressions by the video content, is desired for video creation and recommendation.
1 code implementation • 29 May 2021 • Bing Chen, Mazharul Islam, Jisuo Gao, Lin Wang
Conditional density estimation (CDE) is the task of estimating the probability of an event conditioned on some inputs.
no code implementations • NeurIPS 2021 • Lei Zhao, Lin Wang, Jiuqiao Yu
Using the self-organizing map over the competition of the loss of individual neural column, we route the input to the most appropriate modules dynamically, by doing this we separate the input functional space into different sub spaces which are represented by each individual neural column.
no code implementations • 22 Apr 2021 • Lie Ju, Xin Wang, Lin Wang, Tongliang Liu, Xin Zhao, Tom Drummond, Dwarikanath Mahapatra, ZongYuan Ge
For example, there are estimated more than 40 different kinds of retinal diseases with variable morbidity, however with more than 30+ conditions are very rare from the global patient cohorts, which results in a typical long-tailed learning problem for deep learning-based screening models.
no code implementations • 3 Mar 2021 • Yongsheng Liang, Zhigang Ren, Lin Wang, Hanqing Liu, Wenhao Du
The decomposition operation significantly narrows the search space of the whole traffic network, and the surrogate-assisted optimizer greatly lowers the computational burden by reducing the number of expensive traffic simulations.
no code implementations • 28 Feb 2021 • Lie Ju, Xin Wang, Lin Wang, Dwarikanath Mahapatra, Xin Zhao, Mehrtash Harandi, Tom Drummond, Tongliang Liu, ZongYuan Ge
In this paper, we systematically discuss and define the two common types of label noise in medical images - disagreement label noise from inconsistency expert opinions and single-target label noise from wrong diagnosis record.
no code implementations • 8 Feb 2021 • Xin Zhao, Jifeng Guo, Lin Wang, Fanqi Li, Jiahao Li, Junteng Zheng, Bo Yang
Solid texture synthesis (STS), an effective way to extend a 2D exemplar to a 3D solid volume, exhibits advantages in computational photography.
no code implementations • 8 Feb 2021 • Jiantao Wu, Lin Wang, Bo Yang, Fanqi Li, Chunxiuzi Liu, Jin Zhou
Disentanglement is a highly desirable property of representation owing to its similarity to human understanding and reasoning.
1 code implementation • 7 Feb 2021 • Minfang Lu, Shuai Ning, Shuangrong Liu, Fengyang Sun, Bo Zhang, Bo Yang, Lin Wang
Black-box optimization (BBO) algorithms are concerned with finding the best solutions for problems with missing analytical details.
no code implementations • 17 Jan 2021 • Michael Clayton, Lin Wang, Andrew McPherson, Andrea Cavallaro
Microphone array techniques can improve the acoustic sensing performance on drones, compared to the use of a single microphone.
no code implementations • 5 Jan 2021 • Zhenghe Bai, Penghui Yang, Guangyao Feng, Weimin Li, Lin Wang
Two kinds of locally symmetric lattices are designed for a 2. 2 GeV diffraction-limited storage ring to demonstrate the lattice concept.
Accelerator Physics
1 code implementation • ICCV 2021 • Hongliang He, Zhongyi Huang, Yao Ding, Guoli Song, Lin Wang, Qian Ren, Pengxu Wei, Zhiqiang Gao, Jie Chen
Specifically, we define the centripetal direction feature as a class of adjacent directions pointing to the nuclear center to represent the spatial relationship between pixels within the nucleus.
1 code implementation • 9 Dec 2020 • Manisha Luthra, Sebastian Hennig, Kamran Razavi, Lin Wang, Boris Koldehofe
In this paper, we propose CEPLESS, a scalable data management system that decouples the specification from the runtime system by building on the principles of serverless computing.
Networking and Internet Architecture Distributed, Parallel, and Cluster Computing
no code implementations • 17 Oct 2020 • Jiantao Wu, Lin Wang
Disentanglement is a highly desirable property of representation due to its similarity with human's understanding and reasoning.
no code implementations • 1 Jun 2020 • Aftab Anjum, Mazharul Islam, Lin Wang
These techniques reject the features by considering term presence difference for SentiTPC and ratio of the distribution distinction for SentiTPR.
1 code implementation • 1 Jun 2020 • Yafei Zhang, Lin Wang, Jonathan J. H. Zhu, Xiaofan Wang
Quantifying the virality of cascades is an important question across disciplines such as the transmission of disease, the spread of information and the diffusion of innovations.
Physics and Society Social and Information Networks
no code implementations • 21 Apr 2020 • Chunxiuzi Liu, Fengyang Sun, Qingrui Ni, Lin Wang, Bo Yang
Classical benchmark problems utilize multiple transformation techniques to increase optimization difficulty, e. g., shift for anti centering effect and rotation for anti dimension sensitivity.
2 code implementations • 13 Apr 2020 • Lin Wang, Kuk-Jin Yoon
To achieve faster speeds and to handle the problems caused by the lack of data, knowledge distillation (KD) has been proposed to transfer information learned from one model to another.
1 code implementation • CVPR 2020 • Lin Wang, Tae-Kyun Kim, Kuk-Jin Yoon
While each phase is mainly for one of the three tasks, the networks in earlier phases are fine-tuned by respective loss functions in an end-to-end manner.
no code implementations • 27 Feb 2020 • Dalong Zhang, Xianzheng Song, Ziqi Liu, Zhiqiang Zhang, Xin Huang, Lin Wang, Jun Zhou
Instead of training model on the whole graph, DSSLP is proposed to train on the \emph{$k$-hops neighborhood} of nodes in a mini-batch setting, which helps reduce the scale of the input graph and distribute the training procedure.
no code implementations • 6 Jan 2020 • Lin Wang, Wonjune Cho, Kuk-Jin Yoon
However, most previous works have focused on image classification tasks, and it has never been studied regarding adversarial perturbations on Image-to-image (Im2Im) translation tasks, showing great success in handling paired and/or unpaired mapping problems in the field of autonomous driving and robotics.
no code implementations • 26 Aug 2019 • Yang Lou, Yaodong He, Lin Wang, Guanrong Chen
Under the new framework, a fairly large number of training data generated by simulations are used to train a convolutional neural network for predicting the controllability robustness according to the input network-adjacency matrices, without performing conventional attack simulations.
no code implementations • 21 Jul 2019 • Mazharul Islam, Shuangrong Liu, Lin Wang, Xiaojing Zhang
In this study, a gradient-based floating centroid (GDFC) method is introduced to address the fixed centroid problem for the neural network classifiers optimized by gradient-based methods.
no code implementations • 6 Apr 2019 • Aftab Anjum, Fengyang Sun, Lin Wang, Jeff Orchard
Neuro-encoded expression programming(NEEP) that aims to offer a novel continuous representation of combinatorial encoding for genetic programming methods is proposed in this paper.
no code implementations • CVPR 2019 • S. Mohammad Mostafavi I., Lin Wang, Yo-Sung Ho, Kuk-Jin Yoon
Event cameras have a lot of advantages over traditional cameras, such as low latency, high temporal resolution, and high dynamic range.
1 code implementation • ICML 2018 • Hanjun Dai, Hui Li, Tian Tian, Xin Huang, Lin Wang, Jun Zhu, Le Song
Deep learning on graph structures has shown exciting results in various applications.
no code implementations • 27 Feb 2018 • Zhigang Ren, Yongsheng Liang, Aimin Zhang, Yang Yang, Zuren Feng, Lin Wang
Cooperative coevolution (CC) has shown great potential in solving large scale optimization problems (LSOPs).
1 code implementation • 11 Nov 2017 • Siu Hung Joshua Chan, Lin Wang, Satyakam Dash, Costas D. Maranas
Background: Genome-scale metabolic network models and constraint-based modeling techniques have become important tools for analyzing cellular metabolism.
Molecular Networks
2 code implementations • 11 Oct 2017 • Laurent Heirendt, Sylvain Arreckx, Thomas Pfau, Sebastián N. Mendoza, Anne Richelle, Almut Heinken, Hulda S. Haraldsdóttir, Jacek Wachowiak, Sarah M. Keating, Vanja Vlasov, Stefania Magnusdóttir, Chiam Yu Ng, German Preciat, Alise Žagare, Siu H. J. Chan, Maike K. Aurich, Catherine M. Clancy, Jennifer Modamio, John T. Sauls, Alberto Noronha, Aarash Bordbar, Benjamin Cousins, Diana C. El Assal, Luis V. Valcarcel, Iñigo Apaolaza, Susan Ghaderi, Masoud Ahookhosh, Marouen Ben Guebila, Andrejs Kostromins, Nicolas Sompairac, Hoai M. Le, Ding Ma, Yuekai Sun, Lin Wang, James T. Yurkovich, Miguel A. P. Oliveira, Phan T. Vuong, Lemmer P. El Assal, Inna Kuperstein, Andrei Zinovyev, H. Scott Hinton, William A. Bryant, Francisco J. Aragón Artacho, Francisco J. Planes, Egils Stalidzans, Alejandro Maass, Santosh Vempala, Michael Hucka, Michael A. Saunders, Costas D. Maranas, Nathan E. Lewis, Thomas Sauter, Bernhard Ø. Palsson, Ines Thiele, Ronan M. T. Fleming
This protocol can be adapted for the generation and analysis of a constraint-based model in a wide variety of molecular systems biology scenarios.
no code implementations • LREC 2016 • Wuying Liu, Lin Wang
Vietnamese word segmentation (VWS) is a challenging basic issue for natural language processing.