no code implementations • 2 May 2018 • Joohyung Lee, Yi Wang
We present a probabilistic extension of action language BC+.
no code implementations • 19 Jul 2017 • Joohyung Lee, Samidh Talsania, Yi Wang
LPMLN is a recent addition to probabilistic logic programming languages.
no code implementations • 23 May 2016 • Xuhui Fan, Bin Li, Yi Wang, Yang Wang, Fang Chen
Due to constraints of partition strategy, existing models may cause unnecessary dissections in sparse regions when fitting data in dense regions.
no code implementations • 6 Dec 2016 • Xin Yang, Lequan Yu, Lingyun Wu, Yi Wang, Dong Ni, Jing Qin, Pheng-Ann Heng
Additionally, our approach is general and can be extended to other medical image segmentation tasks, where boundary incompleteness is one of the main challenges.
no code implementations • 28 Jun 2016 • Joohyung Lee, Yi Wang
Markov Logic Networks (MLN) and Probabilistic Soft Logic (PSL) are widely applied formalisms in Statistical Relational Learning, an emerging area in Artificial Intelligence that is concerned with combining logical and statistical AI.
no code implementations • 22 May 2016 • Peng Guo, Wenming Cheng, Yi Wang
This paper considers the two-stage capacitated facility location problem (TSCFLP) in which products manufactured in plants are delivered to customers via storage depots.
no code implementations • 24 Jan 2015 • Yi Wang
The Nearest subspace classifier (NSS) finds an estimation of the underlying subspace within each class and assigns data points to the class that corresponds to its nearest subspace.
no code implementations • 13 Jan 2015 • Yi Wang, Yi Li, Momiao Xiong, Li Jin
To improve accuracy and speed of regressions and classifications, we present a data-based prediction method, Random Bits Regression (RBR).
no code implementations • 27 Sep 2014 • Jim Jing-Yan Wang, Yi Wang, Shiguang Zhao, Xin Gao
In this paper, a novel pattern classification approach is proposed by regularizing the classifier learning to maximize mutual information between the classification response and the true class label.
no code implementations • 17 Sep 2014 • Yi Wang
User's mental state is concerned gradually, during the interaction course of human robot.
no code implementations • 15 Jan 2014 • Yi Wang, Nevin L. Zhang, Tao Chen
We propose a novel method for approximate inference in Bayesian networks (BNs).
no code implementations • 6 Nov 2013 • Xinxi Wang, Yi Wang, David Hsu, Ye Wang
Current music recommender systems typically act in a greedy fashion by recommending songs with the highest user ratings.
no code implementations • 2 Sep 2013 • Peng Guo, Wenming Cheng, Yi Wang
Due to its NP-hard nature, a hybrid discrete cuckoo search algorithm is proposed to solve this problem.
no code implementations • 14 Aug 2018 • Joohyung Lee, Yi Wang
Learning in LPMLN is in accordance with the stable model semantics, thereby it learns parameters for probabilistic extensions of knowledge-rich domains where answer set programming has shown to be useful but limited to the deterministic case, such as reachability analysis and reasoning about actions in dynamic domains.
no code implementations • 3 Nov 2018 • Haitao Liu, Jianfei Cai, Yew-Soon Ong, Yi Wang
This paper devotes to investigating the methodological characteristics and performance of representative global and local scalable GPs including sparse approximations and local aggregations from four main perspectives: scalability, capability, controllability and robustness.
no code implementations • 14 Dec 2018 • Xin Yang, Na Wang, Yi Wang, Xu Wang, Reza Nezafat, Dong Ni, Pheng-Ann Heng
In this paper, we propose a fully-automated framework to segment left atrium in gadolinium-enhanced MR volumes.
no code implementations • CVPR 2014 • Bang Zhang, Yi Wang, Yang Wang, Fang Chen
Many prevalent multi-class classification approaches can be unified and generalized by the output coding framework which usually consists of three phases: (1) coding, (2) learning binary classifiers, and (3) decoding.
no code implementations • CVPR 2017 • Juncheng Liu, Zhouhui Lian, Yi Wang, Jianguo Xiao
This validates the superiority of our IKNDA against the state of the art in novelty detection for large-scale data.
no code implementations • ICCV 2017 • Qingqing Zheng, Yi Wang, Pheng-Ann Heng
The proposed method integrates the subspace learning, transformed IGO reconstruction and image alignment into a unified online framework, which is robust for aligning images with severe intensity distortions.
no code implementations • 1 Apr 2019 • Yi Wang, Joohyung Lee
Alternatively, the semantics of pBC+ can also be defined in terms of Markov Decision Process (MDP), which in turn allows for representing MDP in a succinct and elaboration tolerant way as well as to leverage an MDP solver to compute pBC+.
no code implementations • 27 Jun 2012 • Yi Wang, Kok Sung Won, David Hsu, Wee Sun Lee
Bayesian reinforcement learning (BRL) encodes prior knowledge of the world in a model and represents uncertainty in model parameters by maintaining a probability distribution over them.
no code implementations • 31 Jul 2019 • Yi Wang, Shiqi Zhang, Joohyung Lee
In this paper, we present a unified framework to integrate icorpp's reasoning and planning components.
no code implementations • 26 Sep 2019 • Yi Wang, Zhen-Peng Bian, Junhui Hou, Lap-Pui Chau
That is, the regularization strength is fixed to a predefined schedule, and manual adjustments are required to adapt to various network architectures.
no code implementations • 11 Oct 2019 • Xin Yang, Wenlong Shi, Haoran Dou, Jikuan Qian, Yi Wang, Wufeng Xue, Shengli Li, Dong Ni, Pheng-Ann Heng
(i) This is the first work about 3D pose estimation of fetus in the literature.
no code implementations • 13 Mar 2020 • Lu Qi, Yi Wang, Yukang Chen, Yingcong Chen, Xiangyu Zhang, Jian Sun, Jiaya Jia
In this paper, we explore the mask representation in instance segmentation with Point-of-Interest (PoI) features.
no code implementations • 1 Apr 2020 • Jiamin Liang, Xin Yang, Haoming Li, Yi Wang, Manh The Van, Haoran Dou, Chaoyu Chen, Jinghui Fang, Xiaowen Liang, Zixin Mai, Guowen Zhu, Zhiyi Chen, Dong Ni
Efficiently synthesizing realistic, editable and high resolution US images can solve the problems.
no code implementations • 14 Jul 2018 • Thomas B. Berrett, Yi Wang, Rina Foygel Barber, Richard J. Samworth
Like the conditional randomization test of Cand\`es et al. (2018), our test relies on the availability of an approximation to the distribution of $X \mid Z$.
Methodology Statistics Theory Statistics Theory
no code implementations • 19 Apr 2020 • Zhiyu Zhu, Zhen-Peng Bian, Junhui Hou, Yi Wang, Lap-Pui Chau
However, the existing networks usually suffer from either redundancy of convolutional layers or insufficient utilization of parameters.
no code implementations • 22 Jul 2020 • Tiankui Zhang, Yi Wang, Yuanwei Liu, Wenjun Xu, Arumugam Nallanathan
We formulate a joint optimization problem of UAV deployment, caching placement and user association for maximizing QoE of users, which is evaluated by mean opinion score (MOS).
no code implementations • 28 Jul 2020 • Jinwei Zhang, Hang Zhang, Alan Wang, Qihao Zhang, Mert Sabuncu, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang
The previously established LOUPE (Learning-based Optimization of the Under-sampling Pattern) framework for optimizing the k-space sampling pattern in MRI was extended in three folds: firstly, fully sampled multi-coil k-space data from the scanner, rather than simulated k-space data from magnitude MR images in LOUPE, was retrospectively under-sampled to optimize the under-sampling pattern of in-vivo k-space data; secondly, binary stochastic k-space sampling, rather than approximate stochastic k-space sampling of LOUPE during training, was applied together with a straight-through (ST) estimator to estimate the gradient of the threshold operation in a neural network; thirdly, modified unrolled optimization network, rather than modified U-Net in LOUPE, was used as the reconstruction network in order to reconstruct multi-coil data properly and reduce the dependency on training data.
no code implementations • 31 Jul 2020 • Junxiong Yu, Chaoyu Chen, Xin Yang, Yi Wang, Dan Yan, Jianxing Zhang, Dong Ni
The efficacy of our network is verified from a collected dataset of 418 patients with 145 benign tumors and 273 malignant tumors.
no code implementations • 13 Sep 2020 • Hang Zhang, Jinwei Zhang, Rongguang Wang, Qihao Zhang, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang
Recently, 3D medical image reconstruction (MIR) and segmentation (MIS) based on deep neural networks have been developed with promising results, and attention mechanism has been further designed to capture global contextual information for performance enhancement.
no code implementations • 29 Sep 2020 • Hang Zhang, Jinwei Zhang, Rongguang Wang, Qihao Zhang, Susan A. Gauthier, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang
Multiple sclerosis (MS) lesions occupy a small fraction of the brain volume, and are heterogeneous with regards to shape, size and locations, which poses a great challenge for training deep learning based segmentation models.
no code implementations • 12 Oct 2020 • Tejas Sudharshan Mathai, Yi Wang, Nathan Cross
In this paper, we seek to quantify the bias in terms of the impact that different levels of motion artifacts have on the performance of neural networks engaged in a lesion segmentation task.
no code implementations • 16 Oct 2020 • Tianyu Ma, Hang Zhang, Hanley Ong, Amar Vora, Thanh D. Nguyen, Ajay Gupta, Yi Wang, Mert Sabuncu
Our core idea is straightforward: A diverse ensemble of low precision and high recall models are likely to make different false positive errors (classifying background as foreground in different parts of the image), but the true positives will tend to be consistent.
no code implementations • 20 Oct 2020 • Shufan Shen, Ran Miao, Yi Wang, Zhihua Wei
In this report, we discribe the submission of Tongji University undergraduate team to the CLOSE track of the VoxCeleb Speaker Recognition Challenge (VoxSRC) 2020 at Interspeech 2020.
no code implementations • 30 Nov 2020 • Yi Wang, Zhen-Peng Bian, Yunhao Zhou, Lap-Pui Chau
Our study illustrates the outstanding design of ALPR with four insights: (1) the resampling-based cascaded framework is beneficial to both speed and accuracy; (2) the highly efficient license plate recognition should abundant additional character segmentation and recurrent neural network (RNN), but adopt a plain convolutional neural network (CNN); (3) in the case of CNN, taking advantage of vertex information on license plates improves the recognition performance; and (4) the weight-sharing character classifier addresses the lack of training images in small-scale datasets.
no code implementations • 7 Sep 2020 • Jinwei Zhang, Hang Zhang, Mert Sabuncu, Pascal Spincemaille, Thanh Nguyen, Yi Wang
A learning-based posterior distribution estimation method, Probabilistic Dipole Inversion (PDI), is proposed to solve the quantitative susceptibility mapping (QSM) inverse problem in MRI with uncertainty estimation.
no code implementations • 11 Dec 2020 • Xiufeng Liu, Rongling Li, Yi Wang, Per Sieverts Nielsen
This paper showcases the system on the segmentation analysis using an electricity consumption data set and validates the effectiveness of the system.
Databases
no code implementations • 9 Dec 2020 • Menghan Xia, Yi Wang, Chu Han, Tien-Tsin Wong
Noise Incentive Block (NIB), which serves as a generic plug-in for any CNN generation model.
no code implementations • 15 Feb 2021 • Eric Chen, Yi Wang
We study the Yamabe flow starting from an asymptotically flat manifold $(M^n, g_0)$.
Differential Geometry Analysis of PDEs 53C18, 53Exx
no code implementations • 18 Feb 2021 • Syed Muhammad Arsalan Bashir, Yi Wang, Mahrukh Khan, Yilong Niu
This survey is an effort to provide a detailed survey of recent progress in single-image super-resolution in the perspective of deep learning while also informing about the initial classical methods used for image super-resolution.
no code implementations • 8 Mar 2021 • Yi Wang, Jinxiang Yao, Yufeng Zhang
For C1-smooth strongly monotone discrete-time dynamical systems, it is shown that ``convergence to linearly stable cycles" is a prevalent asymptotic behavior in the measuretheoretic sense.
Dynamical Systems
no code implementations • 10 Mar 2021 • Jinwei Zhang, Hang Zhang, Chao Li, Pascal Spincemaille, Mert Sabuncu, Thanh D. Nguyen, Yi Wang
Quantitative imaging in MRI usually involves acquisition and reconstruction of a series of images at multi-echo time points, which possibly requires more scan time and specific reconstruction technique compared to conventional qualitative imaging.
no code implementations • 13 Apr 2021 • Yi Wang, Stefano Zorzi, Ksenia Bittner
We propose a machine learning based approach for automatic 3D building reconstruction and vectorization.
no code implementations • 4 May 2021 • Yunhao Zhou, Yi Wang, Lap-Pui Chau
Specifically, all the feature embeddings of query and gallery images are expanded and enhanced by a linear combination of their neighbors, with the correlation prediction serving as discriminative combination weights.
no code implementations • 4 May 2021 • Chao Li, Hang Zhang, Jinwei Zhang, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang
An approach to reduce motion artifacts in Quantitative Susceptibility Mapping using deep learning is proposed.
no code implementations • 1 Jun 2021 • Yu Zhang, Guoming Tang, Qianyi Huang, Yi Wang, Hong Xu
Non-intrusive load monitoring (NILM) is a well-known single-channel blind source separation problem that aims to decompose the household energy consumption into itemised energy usage of individual appliances.
no code implementations • 7 Jun 2021 • Yu Zhang, Guoming Tang, Qianyi Huang, Yi Wang, Xudong Wang, Jiadong Lou
Non-intrusive load monitoring (NILM) helps disaggregate the household's main electricity consumption to energy usages of individual appliances, thus greatly cutting down the cost in fine-grained household load monitoring.
no code implementations • 5 Jul 2021 • Jialun Zhang, Yi Wang, Gabriela Hug
Accurate load prediction is an effective way to reduce power system operation costs.
no code implementations • 16 Jul 2021 • Yang Li, Jiazheng Li, Yi Wang
Scenario generation is a fundamental and crucial tool for decision-making in power systems with high-penetration renewables.
no code implementations • 17 Jul 2021 • Lisha Tang, Yi Wang, Lap-Pui Chau
Current part-level feature learning methods typically detect vehicle parts via uniform division, outside tools, or attention modeling.
no code implementations • 12 Aug 2021 • Xiaogang Xu, Yi Wang, LiWei Wang, Bei Yu, Jiaya Jia
To synthesize a realistic action sequence based on a single human image, it is crucial to model both motion patterns and diversity in the action video.
no code implementations • ICCV 2021 • Yi Wang, Lu Qi, Ying-Cong Chen, Xiangyu Zhang, Jiaya Jia
In this paper, we present a novel approach to synthesize realistic images based on their semantic layouts.
no code implementations • ICCV 2021 • Yichen Zhu, Yi Wang
We formulate the knowledge distillation as a multi-task learning problem so that the teacher transfers knowledge to the student only if the student can benefit from learning such knowledge.
no code implementations • ICLR 2022 • Xiaojiang Yang, Yi Wang, Jiacheng Sun, Xing Zhang, Shifeng Zhang, Zhenguo Li, Junchi Yan
Nonlinear ICA is a fundamental problem in machine learning, aiming to identify the underlying independent components (sources) from data which is assumed to be a nonlinear function (mixing function) of these sources.
no code implementations • AACL (NLP-TEA) 2020 • Yi Wang, Ruibin Yuan, Yan‘gen Luo, Yufang Qin, NianYong Zhu, Peng Cheng, Lihuan Wang
A better Chinese Grammatical Error Diagnosis (CGED) system for automatic Grammatical Error Correction (GEC) can benefit foreign Chinese learners and lower Chinese learning barriers.
no code implementations • 5 Nov 2021 • Yi Wang, Syed Muhammad Arsalan Bashir, Mahrukh Khan, Qudrat Ullah, Rui Wang, Yilin Song, Zhe Guo, Yilong Niu
In most cases, the datasets for small object detection in remote sensing images are inadequate.
no code implementations • 9 Nov 2021 • Xutian Deng, Ziwei Lei, Yi Wang, Miao Li
Finally, the robustness of the proposed framework is validated with the experiments on real data from sonographers.
no code implementations • 1 Dec 2021 • Yichen Zhu, Jie Du, Yuqin Zhu, Yi Wang, Zhicai Ou, Feifei Feng, Jian Tang
Critically, there is no effort to understand 1) why training BatchNorm only can find the perform-well architectures with the reduced supernet-training time, and 2) what is the difference between the train-BN-only supernet and the standard-train supernet.
no code implementations • 3 Dec 2021 • Yichen Zhu, Yuqin Zhu, Jie Du, Yi Wang, Zhicai Ou, Feifei Feng, Jian Tang
The TLA enables the ReViT to process the image with the minimum sufficient number of tokens during inference.
no code implementations • 2 Jan 2022 • Zefan Yang, Di Lin, Dong Ni, Yi Wang
Automatic segmentation of abdominal organs in computed tomography (CT) images can support radiation therapy and image-guided surgery workflows.
no code implementations • 6 Feb 2022 • Min Hu, Yi Wang, Xiaowei Feng, Shengchen Zhou, Zhaoyu Wu, Yuan Qin
The experiments showed that in benchmark datasets RADTD possessed higher accuracy and robustness than recurrence qualification analysis and extreme learning machine autoencoder, respectively, and that RADTD accurately detected the occurrence of tunneling settlement accidents, indicating its remarkable performance in accuracy and robustness.
no code implementations • 14 Feb 2022 • Xin Zheng, Yi Wang, Yixin Liu, Ming Li, Miao Zhang, Di Jin, Philip S. Yu, Shirui Pan
In the end, we point out the potential directions to advance and stimulate more future research and applications on heterophilic graph learning with GNNs.
no code implementations • 21 Feb 2022 • Qingsong Zhao, Yi Wang, Zhipeng Zhou, Duoqian Miao, LiMin Wang, Yu Qiao, Cairong Zhao
Flattening is essential in computer vision by converting multi-dimensional feature maps or images into one-dimensional vectors.
no code implementations • 2 Mar 2022 • Qingsong Zhao, Yi Wang, Shuguang Dou, Chen Gong, Yin Wang, Cairong Zhao
Regarding this hypothesis, we propose a novel regularization to improve discriminative learning.
no code implementations • 1 Apr 2022 • Miha Grabner, Yi Wang, Qingsong Wen, Boštjan Blažič, Vitomir Štruc
Efficient load forecasting is needed to ensure better observability in the distribution networks, whereas such forecasting is made possible by an increasing number of smart meter installations.
no code implementations • 25 Apr 2022 • Akos Lada, Xiaoxuan Liu, Jens Rischbieth, Yi Wang, Yuwen Zhang
Content recommender systems are generally adept at maximizing immediate user satisfaction but to optimize for the \textit{long-run} user value, we need more statistically sophisticated solutions than off-the-shelf simple recommender algorithms.
no code implementations • 20 May 2022 • Yi Wang, Zhiqing Wei, Zhiyong Feng
This article provides an overview of the beam training and tracking technologies on mmWave bands and reveals the insights for future research in the 6th Generation (6G) mobile network.
no code implementations • 24 May 2022 • Jialiang Wang, Haotian Wei, Yi Wang, Shu Yang, Chi Li
Human activity recognition (HAR) based on multimodal sensors has become a rapidly growing branch of biometric recognition and artificial intelligence.
no code implementations • 14 Jun 2022 • Conrad M Albrecht, Chenying Liu, Yi Wang, Levente Klein, Xiao Xiang Zhu
We present and evaluate a weakly-supervised methodology to quantify the spatio-temporal distribution of urban forests based on remotely sensed data with close-to-zero human interaction.
no code implementations • 20 Jun 2022 • Yi Wang, Yi Si
Recently, GAN-based neural vocoders such as Parallel WaveGAN, MelGAN, HiFiGAN, and UnivNet have become popular due to their lightweight and parallel structure, resulting in a real-time synthesized waveform with high fidelity, even on a CPU.
no code implementations • 23 Jun 2022 • Tianzi Wang, Jiajun Deng, Mengzhe Geng, Zi Ye, Shoukang Hu, Yi Wang, Mingyu Cui, Zengrui Jin, Xunying Liu, Helen Meng
Early diagnosis of Alzheimer's disease (AD) is crucial in facilitating preventive care to delay further progression.
no code implementations • 28 Jun 2022 • Yi Wang, Tianzi Wang, Zi Ye, Lingwei Meng, Shoukang Hu, Xixin Wu, Xunying Liu, Helen Meng
Early diagnosis of Alzheimer's disease (AD) is crucial in facilitating preventive care and delay progression.
no code implementations • 23 Aug 2022 • Chunlei Cai, Yi Wang, Xiaobo Li, Tianxiao Ye
With the help of first pass predicted RF and corresponding actual quality as feedback, the second pass prediction will be highly accurate.
no code implementations • 2 Sep 2022 • Pengcheng Ai, Zhi Deng, Yi Wang, Hui Gong, Xinchi Ran, Zijian Lang
Recent literature reveals that deep learning models, especially one-dimensional convolutional neural networks, are promising when dealing with digital signals from nuclear detectors.
no code implementations • 8 Sep 2022 • Zeyu Liu, Yi Wang, Jing Wen, Yong Zhang, Hao Yin, Chao Guo, Zhongyu Wang
In addition, in order to improve the segmentation performance, we adopt multi-view and multi-window level method, at the same time we employ a fine-tune strategy to mitigate the impact of inconsistent labeling.
no code implementations • 10 Oct 2022 • Zhitong Xiong, Fahong Zhang, Yi Wang, Yilei Shi, Xiao Xiang Zhu
Furthermore, a new platform for EO, termed EarthNets, is released to achieve a fair and consistent evaluation of deep learning methods on remote sensing data.
no code implementations • 19 Nov 2022 • Xinwei Xue, Gaoyu Wang, Long Ma, Qi Jia, Yi Wang
In this paper, we design an adjacent slice feature fusion model to introduce information from adjacent slices.
no code implementations • 26 Nov 2022 • Junlin Hou, Jilan Xu, Nan Zhang, Yi Wang, Yuejie Zhang, Xiaobo Zhang, Rui Feng
This paper presents our solution for the 2nd COVID-19 Competition, occurring in the framework of the AIMIA Workshop at the European Conference on Computer Vision (ECCV 2022).
no code implementations • 26 Nov 2022 • Chandrajit Bajaj, Omatharv Bharat Vaidya, Yi Wang
Task learning in neural networks typically requires finding a globally optimal minimizer to a loss function objective.
no code implementations • 26 Dec 2022 • Xinyi Wang, Jianteng Peng, Sufang Zhang, Bihui Chen, Yi Wang, Yandong Guo
Recent years witnessed the breakthrough of face recognition with deep convolutional neural networks.
no code implementations • 25 Jan 2023 • Chengqian Ma, Zhiqiang Wu, Chunlei Cai, Pengwei Zhang, Yi Wang, Long Zheng, Chao Chen, Quan Zhou
In the past decades, lots of progress have been done in the video compression field including traditional video codec and learning-based video codec.
no code implementations • 28 Feb 2023 • Shujie Hu, Xurong Xie, Zengrui Jin, Mengzhe Geng, Yi Wang, Mingyu Cui, Jiajun Deng, Xunying Liu, Helen Meng
Experiments conducted on the UASpeech dysarthric and DementiaBank Pitt elderly speech corpora suggest TDNN and Conformer ASR systems integrated domain adapted wav2vec2. 0 models consistently outperform the standalone wav2vec2. 0 models by statistically significant WER reductions of 8. 22% and 3. 43% absolute (26. 71% and 15. 88% relative) on the two tasks respectively.
no code implementations • 12 Mar 2023 • Yi Wang, Jiaze Wang, Jinpeng Li, Zixu Zhao, Guangyong Chen, Anfeng Liu, Pheng-Ann Heng
With Point-MAE as our baseline, our model surpasses previous methods by a significant margin, achieving 86. 3% accuracy on ScanObjectNN and 94. 1% accuracy on ModelNet40.
no code implementations • 7 Apr 2023 • Gongning Luo, Kuanquan Wang, Jun Liu, Shuo Li, Xinjie Liang, Xiangyu Li, Shaowei Gan, Wei Wang, Suyu Dong, Wenyi Wang, Pengxin Yu, Enyou Liu, Hongrong Wei, Na Wang, Jia Guo, Huiqi Li, Zhao Zhang, Ziwei Zhao, Na Gao, Nan An, Ashkan Pakzad, Bojidar Rangelov, Jiaqi Dou, Song Tian, Zeyu Liu, Yi Wang, Ampatishan Sivalingam, Kumaradevan Punithakumar, Zhaowen Qiu, Xin Gao
Efficient automatic segmentation of multi-level (i. e. main and branch) pulmonary arteries (PA) in CTPA images plays a significant role in clinical applications.
no code implementations • 7 Apr 2023 • Jinwei Zhang, Thanh D. Nguyen, Eddy Solomon, Chao Li, Qihao Zhang, Jiahao Li, Hang Zhang, Pascal Spincemaille, Yi Wang
Results: The retrospective ablation study showed improved image sharpness of mcLARO compared to the baseline network without multi-contrast sampling pattern optimization or image feature fusion, and negligible bias and narrow 95% limits of agreement on regional T1, T2, T2* and QSM values were obtained by the under-sampled reconstructions compared to the fully sampled reconstruction.
no code implementations • 24 Apr 2023 • Pengcheng Ai, Le Xiao, Zhi Deng, Yi Wang, Xiangming Sun, Guangming Huang, Dong Wang, Yulei Li, Xinchi Ran
We mathematically demonstrate the existence of the optimal function desired by the method, and give a systematic algorithm for training and calibration of the model.
no code implementations • 22 Apr 2023 • Gong Chen, Yanan Zhao, Yi Wang, Kim-Hui Yap
Recently, synthetic aperture radar (SAR) image change detection has become an interesting yet challenging direction due to the presence of speckle noise.
1 code implementation • 22 Apr 2023 • Alexandra G. Roberts, Dominick J. Romano, Mert Şişman, Alexey V. Dimov, Pascal Spincemaille, Thanh D. Nguyen, Ilhami Kovanlikaya, Susan A. Gauthier, Yi Wang
To develop a tissue field filtering algorithm, called maximum Spherical Mean Value (mSMV), for reducing shadow artifacts in quantitative susceptibility mapping (QSM) of the brain without requiring brain tissue erosion. Residual background field is a major source of shadow artifacts in QSM.
no code implementations • 5 May 2023 • Jinwei Zhang, Alexey Dimov, Chao Li, Hang Zhang, Thanh D. Nguyen, Pascal Spincemaille, Yi Wang
Purpose: To improve the generalization ability of convolutional neural network (CNN) based prediction of quantitative susceptibility mapping (QSM) from high-pass filtered phase (HPFP) image.
no code implementations • CVPR 2023 • Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Yi Wang, Zhangyang Wang
In this work, we study the challenging task of lifting a single image to a 3D object and, for the first time, demonstrate the ability to generate a plausible 3D object with 360deg views that corresponds well with the given reference image.
no code implementations • 31 May 2023 • Zhixian Wang, Qingsong Wen, Chaoli Zhang, Liang Sun, Yi Wang
The uncertainties in load forecasting can be divided into two types: epistemic uncertainty and aleatoric uncertainty.
no code implementations • 13 Jun 2023 • Chen Cai, Suchen Wang, Kim-Hui Yap, Yi Wang
Weakly-supervised grounded image captioning (WSGIC) aims to generate the caption and ground (localize) predicted object words in the input image without using bounding box supervision.
no code implementations • 14 Jun 2023 • Hengbo Liu, Ziqing Ma, Linxiao Yang, Tian Zhou, Rui Xia, Yi Wang, Qingsong Wen, Liang Sun
In this paper, we propose a novel forecasting framework, named Self-adaptive Decomposed Interpretable framework~(SaDI), which ensembles long-term trend, short-term trend, and period modelings to capture temporal characteristics in different components.
no code implementations • 19 Jun 2023 • Shivam Pande, Nassim Ait Ali Braham, Yi Wang, Conrad M Albrecht, Biplab Banerjee, Xiao Xiang Zhu
Recently, to effectively train the deep learning models with minimal labelled samples, the unlabeled samples are also being leveraged in self-supervised and semi-supervised setting.
no code implementations • 15 Jun 2023 • Junting Pan, Ziyi Lin, Yuying Ge, Xiatian Zhu, Renrui Zhang, Yi Wang, Yu Qiao, Hongsheng Li
Video Question Answering (VideoQA) has been significantly advanced from the scaling of recent Large Language Models (LLMs).
Ranked #3 on Temporal/Casual QA on NExT-QA (using extra training data)
no code implementations • 27 Jun 2023 • Tianzi Wang, Shoukang Hu, Jiajun Deng, Zengrui Jin, Mengzhe Geng, Yi Wang, Helen Meng, Xunying Liu
Automatic recognition of disordered and elderly speech remains highly challenging tasks to date due to data scarcity.
1 code implementation • 29 Jun 2023 • Yuming Zhong, Yi Wang
The network first utilizes the pseudo-masks generated using the extreme points to train itself, by minimizing a contrastive loss, which encourages the network to learn more representative features for cancerous voxels.
no code implementations • 21 Jul 2023 • Yihan Wang, Qiao Yan, Yi Wang
LiDAR-based 3D object detection is of paramount importance for autonomous driving.
no code implementations • 5 Sep 2023 • Md Ferdous Alam, Yi Wang, Linh Tran, Chin-Yi Cheng, Jieliang Luo
We develop the preference model by estimating the density of the learned representations whereas we train an autoregressive transformer model for sequential design generation.
no code implementations • 4 Sep 2023 • Cheng Feng, Linbin Huang, Xiuqiang He, Yi Wang, Florian Dörfler, Qixin Chen
To address this gap, this paper defines the joint oscillation damping and inertia provision services at the system level, seeking to encourage converter-interfaced generation to provide enhanced damping and fast frequency response capabilities.
no code implementations • 19 Sep 2023 • Jianjun Gao, Yi Wang, Kim-Hui Yap, Kratika Garg, Boon Siew Han
Particularly, the improvements on IDF1, IDSw, AssA, and AssR demonstrate the effectiveness of our OccluTrack on tracking and association performance.
no code implementations • ICCV 2023 • Kunchang Li, Yali Wang, Yinan He, Yizhuo Li, Yi Wang, LiMin Wang, Yu Qiao
The prolific performances of Vision Transformers (ViTs) in image tasks have prompted research into adapting the image ViTs for video tasks.
no code implementations • 26 Sep 2023 • Yi Wang, Jieliang Luo, Adam Gaier, Evan Atherton, Hilmar Koch
Concretely, we present a system that leverages Reinforcement Learning (RL) to automatically assign concrete locations on a game map to abstract locations mentioned in a given story (plot facilities), following spatial constraints derived from the story.
no code implementations • 25 Oct 2023 • Ji Jiang, Meng Cao, Tengtao Song, Long Chen, Yi Wang, Yuexian Zou
Video Referring Expression Comprehension (REC) aims to localize a target object in videos based on the queried natural language.
no code implementations • 6 Nov 2023 • Cheng Feng, Kedi Zheng, Yi Wang, Kaibin Huang, Qixin Chen
We formulate a bandwidth allocation problem aimed at maximizing the information utility gain of transmitted data brought to CPS operation goals.
no code implementations • 16 Nov 2023 • Yangze Zhou, Qingsong Wen, Jie Song, Xueyuan Cui, Yi Wang
Accurate load forecasting serves as the foundation for the flexible operation of multi-energy systems (MES).
no code implementations • 17 Nov 2023 • Renjiu Hu, Qihao Zhang, Pascal Spincemaille, Thanh D. Nguyen, Yi Wang
The trained network was further tested in a synthetic brain ASL image based on vasculature network extracted from magnetic resonance (MR) angiography.
no code implementations • 10 Dec 2023 • Yi Wang, Jian Ma, Ruizhi Shao, Qiao Feng, Yu-Kun Lai, Yebin Liu, Kun Li
To keep the generated clothing consistent with the target text, we propose a semantic-confidence strategy for clothing that can eliminate the non-clothing content generated by the model.
no code implementations • 28 Dec 2023 • Hang Zhang, Thanh D. Nguyen, Jinwei Zhang, Renjiu Hu, Susan A. Gauthier, Yi Wang
We validated RimSet using simulated QSM images and an in vivo dataset of 172 MS subjects with 177 rim+ and 3986 rim-lesions.
no code implementations • 26 Dec 2023 • Madiha Fatima, Zhihua Cao, Aichun Huang, Shengyuan Wu, Xinxian Fan, Yi Wang, Liu Jiren, Ziyun Zhu, Qiongrou Ye, Yuan Ma, Joseph K. F Chow, Peng Jia, Yangshou Liu, Yubin Lin, Manjun Ye, Tong Wu, ZHIXUN LI, Cong Cai, Wenhai Zhang, Cheris H. Q. Ding, Yuanzhe Cai, Feijuan Huang
With the global spread and increasing transmission rate of SARS-CoV-2, more and more laboratories and researchers are turning their attention to wastewater-based epidemiology (WBE), hoping it can become an effective tool for large-scale testing and provide more ac-curate predictions of the number of infected individuals.
no code implementations • 10 Jan 2024 • Shubao Zhao, Ming Jin, Zhaoxiang Hou, Chengyi Yang, Zengxiang Li, Qingsong Wen, Yi Wang
Time series forecasting is crucial and challenging in the real world.
1 code implementation • 28 Dec 2023 • Chenxi Wang, Pierre Pinson, Yi Wang
The relationship between (i) errors in both time and frequency domains and (ii) operational value of the forecasts is analysed.
no code implementations • 15 Jan 2024 • Zhitong Xiong, Yi Wang, Fahong Zhang, Xiao Xiang Zhu
Current remote sensing foundation models typically specialize in a single modality or a specific spatial resolution range, limiting their versatility for downstream datasets.
no code implementations • 26 Jan 2024 • Chaochao Lu, Chen Qian, Guodong Zheng, Hongxing Fan, Hongzhi Gao, Jie Zhang, Jing Shao, Jingyi Deng, Jinlan Fu, Kexin Huang, Kunchang Li, Lijun Li, LiMin Wang, Lu Sheng, Meiqi Chen, Ming Zhang, Qibing Ren, Sirui Chen, Tao Gui, Wanli Ouyang, Yali Wang, Yan Teng, Yaru Wang, Yi Wang, Yinan He, Yingchun Wang, Yixu Wang, Yongting Zhang, Yu Qiao, Yujiong Shen, Yurong Mou, Yuxi Chen, Zaibin Zhang, Zhelun Shi, Zhenfei Yin, Zhipin Wang
Multi-modal Large Language Models (MLLMs) have shown impressive abilities in generating reasonable responses with respect to multi-modal contents.
no code implementations • 2 Feb 2024 • Andrew Ye, James Xu, Yi Wang, Yifan Yu, Daniel Yan, Ryan Chen, Bosheng Dong, Vipin Chaudhary, Shuai Xu
We propose the integration of sentiment analysis and deep-reinforcement learning ensemble algorithms for stock trading, and design a strategy capable of dynamically altering its employed agent given concurrent market sentiment.
no code implementations • 8 Feb 2024 • Wei Wang, Huilong Ning, Gaowei Zhang, Libo Liu, Yi Wang
Our study thus provides first-hand insights into using ChatGPT to fulfill software engineering tasks with real-world developers and motivates the need for novel interaction mechanisms that help developers effectively work with large language models to achieve desired outcomes.
1 code implementation • 14 Feb 2024 • Hong Wu, Juan Fu, Hongsheng Ye, Yuming Zhong, Xuebin Zhou, Jianhua Zhou, Yi Wang
With the aim of effectively identifying prostate cancer, we propose a framework for the classification of clinically significant prostate cancer (csPCa) from multi-modality TRUS videos.
no code implementations • 25 Feb 2024 • Chenying Liu, Conrad Albrecht, Yi Wang, Xiao Xiang Zhu
In this work, we propose to explore the under-exploited potential of noisy labels for segmentation task specific pretraining, and exam its robustness when confronted with mismatched categories and different decoders during fine-tuning.
no code implementations • 5 Mar 2024 • Xin Chen, Hanxian Huang, Yanjun Gao, Yi Wang, Jishen Zhao, Ke Ding
Knowledge distillation, the technique of transferring knowledge from large, complex models to smaller ones, marks a pivotal step towards efficient AI deployment.
no code implementations • 11 Mar 2024 • Yinyan Liu, Yi Wang, Jin Ma
Non-Intrusive Load Monitoring (NILM) is pivotal in today's energy landscape, offering vital solutions for energy conservation and efficient management.
no code implementations • 14 Mar 2024 • Aonan Zhang, Chong Wang, Yi Wang, Xuanyu Zhang, Yunfei Cheng
In this paper, we introduce an improved approach of speculative decoding aimed at enhancing the efficiency of serving large language models.
no code implementations • 23 Mar 2024 • Huiping Zhuang, Yuchen Liu, Run He, Kai Tong, Ziqian Zeng, Cen Chen, Yi Wang, Lap-Pui Chau
Online Class Incremental Learning (OCIL) aims to train the model in a task-by-task manner, where data arrive in mini-batches at a time while previous data are not accessible.
no code implementations • 2 Apr 2024 • Zhuoyuan Wang, Dong Sun, Xiangyun Zeng, Ruodai Wu, Yi Wang
Accordingly, we propose a contextual embedding learning approach to facilitate 2D CNNs capturing spatial information properly.
no code implementations • 8 Apr 2024 • Su-Xi Yu, Jing-Yuan He, Yi Wang, Yu-Jiao Cai, Jun Yang, Bo Lin, Wei-Bin Yang, Jian Ruan
Graves' disease is a common condition that is diagnosed clinically by determining the smoothness of the thyroid texture and its morphology in ultrasound images.
no code implementations • 22 Apr 2024 • Zixian Li, Yuming Zhong, Yi Wang
In this study, we propose to fully leverage the dynamic characteristics from the kinetic curves as well as the radiomic features to boost the classification accuracy of benign and malignant breast lesions.
no code implementations • 21 Apr 2024 • Cai Chen, Runzhong Zhang, Jianjun Gao, Kejun Wu, Kim-Hui Yap, Yi Wang
Temporal sentence grounding involves the retrieval of a video moment with a natural language query.
no code implementations • 2 May 2024 • Yu Zhou, Xiahao Zou, Yi Wang
The proposed method achieves an average DSC of 93. 36%, ASSD of 0. 85mm, 95HD of 7. 51mm.
no code implementations • 2 May 2024 • Chenying Liu, Conrad Albrecht, Yi Wang, Xiao Xiang Zhu
We study the potential of noisy labels y to pretrain semantic segmentation models in a multi-modal learning framework for geospatial applications.
no code implementations • 30 Apr 2024 • Yi Li, Renyou Xie, Chaojie Li, Yi Wang, ZhaoYang Dong
To address these challenges, a federated graph learning approach involving multiple charging stations is proposed to collaboratively train a more generalized deep learning model for demand forecasting while capturing spatial correlations among various stations and enhancing robustness against potential attacks.
1 code implementation • 28 Apr 2020 • Xin Yang, Xu Wang, Yi Wang, Haoran Dou, Shengli Li, Huaxuan Wen, Yi Lin, Pheng-Ann Heng, Dong Ni
In this paper, we propose the first fully-automated solution to segment the whole fetal head in US volumes.
1 code implementation • 1 Apr 2021 • Yunhao Yang, Yi Wang, Chandrajit Bajaj
Camera Image Signal Processing (ISP) pipelines can get appealing results in different image signal processing tasks.
1 code implementation • 26 Apr 2023 • Ruizhe Zheng, Jun Li, Yi Wang, Tian Luo, Yuguo Yu
Patient-independent detection of epileptic activities based on visual spectral representation of continuous EEG (cEEG) has been widely used for diagnosing epilepsy.
1 code implementation • 26 Sep 2023 • Yi Wang
We present a holistic approach for high resolution image classification that won second place in the ICCV/CVPPA2023 Deep Nutrient Deficiency Challenge.
1 code implementation • 15 Nov 2021 • Chandrajit Bajaj, Yi Wang, Yunhao Yang
Our \textit{Recursive Self Enhancement Reinforcement Learning}(RSE-RL) model views the identification and correction of artifacts as a recursive self-learning and self-improvement exercise and consists of two major sub-modules: (i) The latent feature sub-space clustering/grouping obtained through variational auto-encoders enabling rapid identification of the correspondence and discrepancy between noisy and clean image patches.
1 code implementation • 14 Apr 2023 • Wenyang Liu, Yi Wang, Kejun Wu, Kim-Hui Yap, Lap-Pui Chau
File fragment classification (FFC) on small chunks of memory is essential in memory forensics and Internet security.
1 code implementation • 14 Dec 2023 • Mingyang Chen, Bo Huang, Junda Lu, Bing Li, Yi Wang, Minhao Cheng, Wei Wang
This ensures the memory efficiency of our method and provides a flexible tradeoff between time and memory budgets, allowing us to distil ImageNet-1K using a minimum of only 6. 5GB of GPU memory.
1 code implementation • 28 Apr 2024 • Qixin Deng, Qikai Yang, Ruibin Yuan, Yipeng Huang, Yi Wang, Xubo Liu, Zeyue Tian, Jiahao Pan, Ge Zhang, Hanfeng Lin, Yizhi Li, Yinghao Ma, Jie Fu, Chenghua Lin, Emmanouil Benetos, Wenwu Wang, Guangyu Xia, Wei Xue, Yike Guo
Music composition represents the creative side of humanity, and itself is a complex task that requires abilities to understand and generate information with long dependency and harmony constraints.
1 code implementation • 20 Oct 2022 • Zefan Yang, Di Lin, Dong Ni, Yi Wang
To address these issues, we propose a non-iterative method where a stream of varying (pacing) pseudo-masks teach a network via consistency training, named PacingPseudo.
1 code implementation • 4 Aug 2023 • Yi Wang, Chenying Liu, Arti Tiwari, Micha Silver, Arnon Karnieli, Xiao Xiang Zhu, Conrad M Albrecht
Discovering ancient agricultural terraces in desert regions is important for the monitoring of long-term climate changes on the Earth's surface.
1 code implementation • 11 Dec 2023 • Yao Sun, Yi Wang, Michael Eineder
Quick and automated earthquake-damaged building detection from post-event satellite imagery is crucial, yet it is challenging due to the scarcity of training data required to develop robust algorithms.
1 code implementation • 17 Feb 2022 • Haihan Tang, Yi Wang, Lap-Pui Chau
Specifically, TAFNet is divided into one main stream and two auxiliary streams.
1 code implementation • 1 Nov 2022 • Jinwei Zhang, Pascal Spincemaille, Hang Zhang, Thanh D. Nguyen, Chao Li, Jiahao Li, Ilhami Kovanlikaya, Mert R. Sabuncu, Yi Wang
In this paper, we present our new framework, called Learned Acquisition and Reconstruction Optimization (LARO), which aims to accelerate the multi-echo gradient echo (mGRE) pulse sequence for QSM.
1 code implementation • 22 Apr 2021 • Arman Maesumi, Mingkang Zhu, Yi Wang, Tianlong Chen, Zhangyang Wang, Chandrajit Bajaj
This paper presents a novel patch-based adversarial attack pipeline that trains adversarial patches on 3D human meshes.
1 code implementation • CVPR 2023 • Yi Wang, Ruili Wang, Xin Fan, Tianzhu Wang, Xiangjian He
A multi-level hybrid loss is firstly designed to guide the network to learn pixel-level, region-level, and object-level features.
1 code implementation • 14 Feb 2024 • Zhuoyuan Wang, Haiqiao Wang, Yi Wang
The advent of deep-learning-based registration networks has addressed the time-consuming challenge in traditional iterative methods. However, the potential of current registration networks for comprehensively capturing spatial relationships has not been fully explored, leading to inadequate performance in large-deformation image registration. The pure convolutional neural networks (CNNs) neglect feature enhancement, while current Transformer-based networks are susceptible to information redundancy. To alleviate these issues, we propose a pyramid attention network (PAN) for deformable medical image registration. Specifically, the proposed PAN incorporates a dual-stream pyramid encoder with channel-wise attention to boost the feature representation. Moreover, a multi-head local attention Transformer is introduced as decoder to analyze motion patterns and generate deformation fields. Extensive experiments on two public brain magnetic resonance imaging (MRI) datasets and one abdominal MRI dataset demonstrate that our method achieves favorable registration performance, while outperforming several CNN-based and Transformer-based registration networks. Our code is publicly available at https://github. com/JuliusWang-7/PAN.
1 code implementation • 3 Mar 2024 • Chenying Liu, Conrad M Albrecht, Yi Wang, Qingyu Li, Xiao Xiang Zhu
AIO2 utilizes a mean teacher model to enhance training robustness with noisy labels to both stabilize the training accuracy curve for fitting in ACT and provide pseudo labels for correction in O2C.
1 code implementation • 29 Oct 2022 • Yi Wang, Jiajun Deng, Tianzi Wang, Bo Zheng, Shoukang Hu, Xunying Liu, Helen Meng
Early diagnosis of Alzheimer's disease (AD) is crucial in facilitating preventive care and to delay further progression.
1 code implementation • 1 Dec 2022 • Ruibin Yuan, Hanzhi Yin, Yi Wang, Yifan He, Yushi Ye, Lei Zhang, Zhizheng Wu
We apply this technique to the automatic speaker verification (ASV) task as a proof of concept.
1 code implementation • ICML 2018 • Haitao Liu, Jianfei Cai, Yi Wang, Yew-Soon Ong
In order to scale standard Gaussian process (GP) regression to large-scale datasets, aggregation models employ factorized training process and then combine predictions from distributed experts.
1 code implementation • NeurIPS 2023 • Rongkun Zheng, Lu Qi, Xi Chen, Yi Wang, Kun Wang, Yu Qiao, Hengshuang Zhao
What we possess are numerous isolated filed-specific datasets, thus, it is appealing to jointly train models across the aggregation of datasets to enhance data volume and diversity.
1 code implementation • 14 Jul 2023 • Zhixian Wang, Qingsong Wen, Chaoli Zhang, Liang Sun, Leandro Von Krannichfeldt, Yi Wang
Based on this, we conducted extensive experiments on load data at different levels, providing a reference for researchers to compare different load forecasting models.
1 code implementation • 28 Oct 2023 • Yi Wang, Hugo Hernández Hernández, Conrad M Albrecht, Xiao Xiang Zhu
Self-supervised learning guided by masked image modelling, such as Masked AutoEncoder (MAE), has attracted wide attention for pretraining vision transformers in remote sensing.
Ranked #1 on Multi-Label Image Classification on BigEarthNet-S1 (official test set) (using extra training data)
1 code implementation • 21 Jun 2019 • Huiping Zhuang, Yi Wang, Qinglai Liu, Shuai Zhang, Zhiping Lin
Training neural networks with back-propagation (BP) requires a sequential passing of activations and gradients, which forces the network modules to work in a synchronous fashion.
1 code implementation • 25 Jun 2020 • Yi Wang, Jingyang Zhou, Tianlong Chen, Sijia Liu, Shiyu Chang, Chandrajit Bajaj, Zhangyang Wang
Contrary to the traditional adversarial patch, this new form of attack is mapped into the 3D object world and back-propagates to the 2D image domain through differentiable rendering.
1 code implementation • 16 Jan 2024 • Zichuan Liu, Yingying Zhang, Tianchun Wang, Zefan Wang, Dongsheng Luo, Mengnan Du, Min Wu, Yi Wang, Chunlin Chen, Lunting Fan, Qingsong Wen
Explaining multivariate time series is a compound challenge, as it requires identifying important locations in the time series and matching complex temporal patterns.
1 code implementation • CVPR 2023 • Wenyang Liu, Yi Wang, Kim-Hui Yap, Lap-Pui Chau
In this paper, we study a real-world JPEG image restoration problem with bit errors on the encrypted bitstream.
1 code implementation • 9 Jun 2023 • Haiqiao Wang, Dong Ni, Yi Wang
The Transformer structures have been widely used in computer vision and have recently made an impact in the area of medical image registration.
2 code implementations • 25 Mar 2024 • Haiqiao Wang, Zhuoyuan Wang, Dong Ni, Yi Wang
Deformable image registration plays a crucial role in medical imaging, aiding in disease diagnosis and image-guided interventions.
1 code implementation • 20 Oct 2022 • Yi Wang, Menghan Xia, Lu Qi, Jing Shao, Yu Qiao
Multimodal ambiguity and color bleeding remain challenging in colorization.
2 code implementations • 11 Sep 2023 • Yi Wang, Conrad M Albrecht, Nassim Ait Ali Braham, Chenying Liu, Zhitong Xiong, Xiao Xiang Zhu
We propose Decoupling Common and Unique Representations (DeCUR), a simple yet effective method for multimodal self-supervised learning.
1 code implementation • 26 Apr 2021 • Yi Wang, Xinyu Hou, Lap-Pui Chau
In this paper, we propose a simple yet effective crowd counting and localization network named SCALNet.
1 code implementation • 24 May 2023 • Zhitong Xiong, Sining Chen, Yi Wang, Lichao Mou, Xiao Xiang Zhu
Towards a fair and comprehensive analysis of existing methods, the proposed benchmark consists of 1) a large-scale dataset including co-registered RGB and nDSM pairs and pixel-wise semantic labels; 2) a comprehensive evaluation and analysis of existing multi-modal fusion strategies for both convolutional and Transformer-based networks on remote sensing data.
Ranked #1 on Semantic Segmentation on GAMUS
1 code implementation • 27 Feb 2020 • Hang Zhang, Jinwei Zhang, Qihao Zhang, Jeremy Kim, Shun Zhang, Susan A. Gauthier, Pascal Spincemaille, Thanh D. Nguyen, Mert R. Sabuncu, Yi Wang
Brain lesion volume measured on T2 weighted MRI images is a clinically important disease marker in multiple sclerosis (MS).
1 code implementation • CVPR 2023 • Bo Huang, Mingyang Chen, Yi Wang, Junda Lu, Minhao Cheng, Wei Wang
Thus, recent studies concern about adversarial distillation (AD) that aims to inherit not only prediction accuracy but also adversarial robustness of a robust teacher model under the paradigm of robust optimization.
1 code implementation • NeurIPS 2023 • Tianyi Liu, Kejun Wu, Yi Wang, Wenyang Liu, Kim-Hui Yap, Lap-Pui Chau
The past decade has witnessed great strides in video recovery by specialist technologies, like video inpainting, completion, and error concealment.
2 code implementations • 25 Jul 2020 • Yi Wang, Junhui Hou, Xinyu Hou, Lap-Pui Chau
In this paper, we propose a novel self-training approach named Crowd-SDNet that enables a typical object detector trained only with point-level annotations (i. e., objects are labeled with points) to estimate both the center points and sizes of crowded objects.
1 code implementation • NeurIPS 2020 • Dingguo Shen, Yuanfeng Ji, Ping Li, Yi Wang, Di Lin
In contrast to the previous methods, RANet configures the information pathways between the pixels in different regions, enabling the region interaction to exchange the regional context for enhancing all of the pixels in the image.
1 code implementation • 6 May 2021 • Kun Lei, Peng Guo, Yi Wang, Xiao Wu, Wenchao Zhao
In this paper, an end-to-end deep reinforcement learning framework is proposed to solve this type of combinatorial optimization problems.
1 code implementation • 6 Jun 2013 • Yi Wang
We introduce the MathGR package, written in Mathematica.
Mathematical Software Cosmology and Nongalactic Astrophysics General Relativity and Quantum Cosmology High Energy Physics - Theory Computational Physics
2 code implementations • 11 Apr 2022 • Yi Wang, Conrad M Albrecht, Xiao Xiang Zhu
Experimental results employing the BigEarthNet-MM dataset demonstrate the benefits of both, the ViT backbones and the proposed multimodal SSL algorithm DINO-MM.
2 code implementations • 27 Jun 2022 • Yi Wang, Conrad M Albrecht, Nassim Ait Ali Braham, Lichao Mou, Xiao Xiang Zhu
In deep learning research, self-supervised learning (SSL) has received great attention triggering interest within both the computer vision and remote sensing communities.
Ranked #3 on Multi-Label Image Classification on BigEarthNet
1 code implementation • 17 May 2021 • Nanyang Yang, Yi Wang, Lap-Pui Chau
The CenterTrack tracking algorithm achieves state-of-the-art tracking performance using a simple detection model and single-frame spatial offsets to localize objects and predict their associations in a single network.
2 code implementations • 22 Mar 2024 • Zhitong Xiong, Yi Wang, Fahong Zhang, Adam J. Stewart, Joëlle Hanna, Damian Borth, Ioannis Papoutsis, Bertrand Le Saux, Gustau Camps-Valls, Xiao Xiang Zhu
The development of foundation models has revolutionized our ability to interpret the Earth's surface using satellite observational data.
1 code implementation • 6 Mar 2021 • Hang Zhang, Rongguang Wang, Jinwei Zhang, Chao Li, Gufeng Yang, Pascal Spincemaille, Thanh Nguyen, Yi Wang
We introduce Neural Representation of Distribution (NeRD) technique, a module for convolutional neural networks (CNNs) that can estimate the feature distribution by optimizing an underlying function mapping image coordinates to the feature distribution.
1 code implementation • ICCV 2023 • Wenyan Cong, Hanxue Liang, Peihao Wang, Zhiwen Fan, Tianlong Chen, Mukund Varma, Yi Wang, Zhangyang Wang
Cross-scene generalizable NeRF models, which can directly synthesize novel views of unseen scenes, have become a new spotlight of the NeRF field.
1 code implementation • 14 Oct 2021 • Chu Han, Jiatai Lin, Jinhai Mai, Yi Wang, Qingling Zhang, Bingchao Zhao, Xin Chen, Xipeng Pan, Zhenwei Shi, Xiaowei Xu, Su Yao, Lixu Yan, Huan Lin, Zeyan Xu, Xiaomei Huang, Guoqiang Han, Changhong Liang, Zaiyi Liu
In the segmentation phase, we achieved tissue semantic segmentation by our proposed Multi-Layer Pseudo-Supervision.
2 code implementations • ECCV 2020 • Yi Wang, Ying-Cong Chen, Xin Tao, Jiaya Jia
Blind inpainting is a task to automatically complete visual contents without specifying masks for missing areas in an image.
1 code implementation • CVPR 2023 • Jilan Xu, Junlin Hou, Yuejie Zhang, Rui Feng, Yi Wang, Yu Qiao, Weidi Xie
The former aims to infer all masked entities in the caption given the group tokens, that enables the model to learn fine-grained alignment between visual groups and text entities.
2 code implementations • 15 Sep 2022 • Yi Wang, Zhiwen Fan, Tianlong Chen, Hehe Fan, Zhangyang Wang
Vision Transformers (ViTs) have proven to be effective, in solving 2D image understanding tasks by training over large-scale image datasets; and meanwhile as a somehow separate track, in modeling the 3D visual world too such as voxels or point clouds.
1 code implementation • 2 Feb 2023 • Minglun Han, Qingyu Wang, Tielin Zhang, Yi Wang, Duzhen Zhang, Bo Xu
The spiking neural network (SNN) using leaky-integrated-and-fire (LIF) neurons has been commonly used in automatic speech recognition (ASR) tasks.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +1
1 code implementation • 3 Jul 2019 • Yi Wang, Haoran Dou, Xiao-Wei Hu, Lei Zhu, Xin Yang, Ming Xu, Jing Qin, Pheng-Ann Heng, Tianfu Wang, Dong Ni
Our attention module utilizes the attention mechanism to selectively leverage the multilevel features integrated from different layers to refine the features at each individual layer, suppressing the non-prostate noise at shallow layers of the CNN and increasing more prostate details into features at deep layers.
1 code implementation • CVPR 2020 • Yi Wang, Ying-Cong Chen, Xiangyu Zhang, Jian Sun, Jiaya Jia
Traditional convolution-based generative adversarial networks synthesize images based on hierarchical local operations, where long-range dependency relation is implicitly modeled with a Markov chain.
1 code implementation • CVPR 2022 • Zhengzhe Liu, Yi Wang, Xiaojuan Qi, Chi-Wing Fu
In this work, we explore the challenging task of generating 3D shapes from text.
2 code implementations • 17 Nov 2022 • Guo Chen, Sen Xing, Zhe Chen, Yi Wang, Kunchang Li, Yizhuo Li, Yi Liu, Jiahao Wang, Yin-Dong Zheng, Bingkun Huang, Zhiyu Zhao, Junting Pan, Yifei HUANG, Zun Wang, Jiashuo Yu, Yinan He, Hongjie Zhang, Tong Lu, Yali Wang, LiMin Wang, Yu Qiao
In this report, we present our champion solutions to five tracks at Ego4D challenge.
Ranked #1 on State Change Object Detection on Ego4D
1 code implementation • CVPR 2023 • Kun Zhou, Wenbo Li, Yi Wang, Tao Hu, Nianjuan Jiang, Xiaoguang Han, Jiangbo Lu
Neural radiance fields (NeRF) show great success in novel view synthesis.
Ranked #1 on Novel View Synthesis on LLFF
2 code implementations • CVPR 2021 • Lu Qi, Jason Kuen, Jiuxiang Gu, Zhe Lin, Yi Wang, Yukang Chen, Yanwei Li, Jiaya Jia
However, this option traditionally hurts the detection performance much.
2 code implementations • CVPR 2019 • Yi Wang, Xin Tao, Xiaoyong Shen, Jiaya Jia
This paper studies the fundamental problem of extrapolating visual context using deep generative models, i. e., extending image borders with plausible structure and details.
Ranked #7 on Seeing Beyond the Visible on KITTI360-EX
1 code implementation • ICCV 2023 • Zun Wang, Jialu Li, Yicong Hong, Yi Wang, Qi Wu, Mohit Bansal, Stephen Gould, Hao Tan, Yu Qiao
Recent research in language-guided visual navigation has demonstrated a significant demand for the diversity of traversable environments and the quantity of supervision for training generalizable agents.
1 code implementation • 25 Feb 2024 • Ruibin Yuan, Hanfeng Lin, Yi Wang, Zeyue Tian, Shangda Wu, Tianhao Shen, Ge Zhang, Yuhang Wu, Cong Liu, Ziya Zhou, Ziyang Ma, Liumeng Xue, Ziyu Wang, Qin Liu, Tianyu Zheng, Yizhi Li, Yinghao Ma, Yiming Liang, Xiaowei Chi, Ruibo Liu, Zili Wang, Pengfei Li, Jingcheng Wu, Chenghua Lin, Qifeng Liu, Tao Jiang, Wenhao Huang, Wenhu Chen, Emmanouil Benetos, Jie Fu, Gus Xia, Roger Dannenberg, Wei Xue, Shiyin Kang, Yike Guo
It is based on continual pre-training and finetuning LLaMA2 on a text-compatible music representation, ABC notation, and the music is treated as a second language.
3 code implementations • 13 Nov 2022 • Yi Wang, Nassim Ait Ali Braham, Zhitong Xiong, Chenying Liu, Conrad M Albrecht, Xiao Xiang Zhu
Self-supervised pre-training bears potential to generate expressive representations without human annotation.
Ranked #1 on Multi-Label Image Classification on BigEarthNet (official test set) (using extra training data)
1 code implementation • 22 May 2023 • Guo Chen, Yin-Dong Zheng, Jiahao Wang, Jilan Xu, Yifei HUANG, Junting Pan, Yi Wang, Yali Wang, Yu Qiao, Tong Lu, LiMin Wang
Building upon this insight, we propose a novel framework called VideoLLM that leverages the sequence reasoning capabilities of pre-trained LLMs from natural language processing (NLP) for video sequence understanding.
1 code implementation • 23 Jun 2022 • Dong An, Zun Wang, Yangguang Li, Yi Wang, Yicong Hong, Yan Huang, Liang Wang, Jing Shao
Our model consists of three modules: the candidate waypoints predictor (CWP), the history enhanced planner and the tryout controller.
1 code implementation • 29 Apr 2024 • Yiyuan Yang, Ming Jin, Haomin Wen, Chaoli Zhang, Yuxuan Liang, Lintao Ma, Yi Wang, Chenghao Liu, Bin Yang, Zenglin Xu, Jiang Bian, Shirui Pan, Qingsong Wen
Conditioned models, on the other hand, utilize extra information to enhance performance and are similarly divided for both predictive and generative tasks.
1 code implementation • ICCV 2023 • Kunchang Li, Yali Wang, Yizhuo Li, Yi Wang, Yinan He, LiMin Wang, Yu Qiao
Previous VFMs rely on Image Foundation Models (IFMs), which face challenges in transferring to the video domain.
Ranked #1 on Video Retrieval on SSv2-template retrieval (using extra training data)
1 code implementation • 29 Nov 2022 • Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Yi Wang, Zhangyang Wang
In this work, we study the challenging task of lifting a single image to a 3D object and, for the first time, demonstrate the ability to generate a plausible 3D object with 360{\deg} views that correspond well with the given reference image.
1 code implementation • CVPR 2023 • LiMin Wang, Bingkun Huang, Zhiyu Zhao, Zhan Tong, Yinan He, Yi Wang, Yali Wang, Yu Qiao
Finally, we successfully train a video ViT model with a billion parameters, which achieves a new state-of-the-art performance on the datasets of Kinetics (90. 0% on K400 and 89. 9% on K600) and Something-Something (68. 7% on V1 and 77. 0% on V2).
Ranked #1 on Self-Supervised Action Recognition on UCF101 (using extra training data)
2 code implementations • NeurIPS 2018 • Yi Wang, Xin Tao, Xiaojuan Qi, Xiaoyong Shen, Jiaya Jia
In this paper, we propose a generative multi-column network for image inpainting.