no code implementations • 20 Nov 2012 • Chen Chen, Yeqing Li, Junzhou Huang
In this paper, we investigate a new compressive sensing model for multi-channel sparse data where each channel can be represented as a hierarchical tree and different channels are highly correlated.
no code implementations • NeurIPS 2012 • Chen Chen, Junzhou Huang
On the other side, some algorithms have been proposed for tree sparsity regularization, but few of them has validated the benefit of tree structure in CS-MRI.
no code implementations • LREC 2014 • Chen Chen, Vincent Ng
Compared to entity coreference resolution, there is a relatively small amount of work on event coreference resolution.
no code implementations • CVPR 2014 • Chen Chen, Yeqing Li, Wei Liu, Junzhou Huang
In this paper, we propose a novel method for image fusion from a high resolution panchromatic image and a low resolution multispectral image at the same geographical location.
no code implementations • CVPR 2014 • Chen Chen, Junzhou Huang, Lei He, Hongsheng Li
In this paper, we propose a novel algorithm for structured sparsity reconstruction.
no code implementations • 18 Nov 2014 • Chen Chen, Yeqing Li, Wei Liu, Junzhou Huang
In this paper, we propose a novel method for image fusion with a high-resolution panchromatic image and a low-resolution multispectral image at the same geographical location.
no code implementations • 18 Nov 2014 • Chen Chen, Junzhou Huang, Lei He, Hongsheng Li
The convergence rate of the proposed algorithm is almost the same as that of the traditional IRLS algorithms, that is, exponentially fast.
no code implementations • CVPR 2015 • Yeqing Li, Chen Chen, Fei Yang, Junzhou Huang
The definition of the similarity measure is an essential component in image registration.
1 code implementation • ICCV 2015 • Xiang Fu, Chien-Yi Wang, Chen Chen, Changhu Wang, C. -C. Jay Kuo
The contour-guided color palette (CCP) is proposed for robust image segmentation.
no code implementations • 28 Feb 2016 • Shang-Wen Li, Sanjay Purushotham, Chen Chen, Yuzhuo Ren, C. -C. Jay Kuo
Textual data such as tags, sentence descriptions are combined with visual cues to reduce the semantic gap for image retrieval applications in today's Multimodal Image Retrieval (MIR) systems.
no code implementations • 3 Apr 2016 • Yuzhuo Ren, Chen Chen, Shang-Wen Li, C. -C. Jay Kuo
The proposed Global-attributes Assisted Labeling (GAL) system exploits both local features and global attributes.
no code implementations • 7 Jun 2016 • Shangzhen Luan, Baochang Zhang, Jungong Han, Chen Chen, Ling Shao, Alessandro Perina, Linlin Shen
There is a neglected fact in the traditional machine learning methods that the data sampling can actually lead to the solution sampling.
1 code implementation • 3 Jul 2016 • Yuzhuo Ren, Chen Chen, Shang-Wen Li, C. -C. Jay Kuo
The task of estimating the spatial layout of cluttered indoor scenes from a single RGB image is addressed in this work.
7 code implementations • CVPR 2017 • Raymond A. Yeh, Chen Chen, Teck Yian Lim, Alexander G. Schwing, Mark Hasegawa-Johnson, Minh N. Do
In this paper, we propose a novel method for semantic image inpainting, which generates the missing content by conditioning on the available data.
no code implementations • 16 Dec 2016 • Baochang Zhang, Zhigang Li, Xian-Bin Cao, Qixiang Ye, Chen Chen, Linlin Shen, Alessandro Perina, Rongrong Ji
Kernelized Correlation Filter (KCF) is one of the state-of-the-art object trackers.
1 code implementation • CVPR 2017 • Yicong Tian, Chen Chen, Mubarak Shah
Next, for each building in the query image, we retrieve the $k$ nearest neighbors from the reference buildings using a Siamese network trained on both positive matching image pairs and negative pairs.
Cross-View Image-to-Image Translation Image Classification +2
1 code implementation • ICCV 2017 • Rui Hou, Chen Chen, Mubarak Shah
A video is first divided into equal length clips and for each clip a set of tube proposals are generated next based on 3D Convolutional Network (ConvNet) features.
Ranked #1 on Action Detection on UCF Sports
no code implementations • 24 Apr 2017 • Chen Chen, Changtong Luo, Zonglin Jiang
In this paper, a new non-evolutionary real-time algorithm for symbolic regression, Elite Bases Regression (EBR), is proposed.
no code implementations • 3 May 2017 • Shangzhen Luan, Baochang Zhang, Chen Chen, Xian-Bin Cao, Jungong Han, Jianzhuang Liu
Steerable properties dominate the design of traditional filters, e. g., Gabor filters, and endow features the capability of dealing with spatial transformations.
no code implementations • 9 May 2017 • Ce Li, Chen Chen, Baochang Zhang, Qixiang Ye, Jungong Han, Rongrong Ji
Visual data such as videos are often sampled from complex manifold.
no code implementations • 22 May 2017 • Chen Chen, Changtong Luo, Zonglin Jiang
Symbolic regression that aims to detect underlying data-driven models has become increasingly important for industrial data analysis.
no code implementations • 23 May 2017 • Changtong Luo, Chen Chen, Zonglin Jiang
This feature motivated us to develop a new method, divide and conquer (D&C), for symbolic regression, in which the target function is divided into a number of sub-functions and the sub-functions are then determined by any of a GP algorithm.
no code implementations • CVPR 2017 • Jie Qin, Li Liu, Ling Shao, Bingbing Ni, Chen Chen, Fumin Shen, Yunhong Wang
Extensive experiments on four realistic action datasets in terms of three tasks (i. e., partial action retrieval, recognition and prediction) clearly show the superiority of PRBC over the state-of-the-art methods, along with significantly reduced memory load and computational costs during the online test.
1 code implementation • 12 Jul 2017 • Chunyu Xie, Ce Li, Baochang Zhang, Chen Chen, Jungong Han
Gesture recognition is a challenging problem in the field of biometrics.
Ranked #1 on Hand Gesture Recognition on MGB
no code implementations • Pattern Recognition 2017 • Mengyuan Liu, Hong Liu, Chen Chen
First, a sequence-based view invariant transform is developed to eliminate the effect of view variations on spatio-temporal locations of skeleton joints.
Ranked #2 on Skeleton Based Action Recognition on UWA3D
no code implementations • 5 Aug 2017 • Chen Chen, Changtong Luo, Zonglin Jiang
In this paper, we analyze different types of separability of some real-world engineering equations and establish a mathematical model of generalized separable system (GS system).
no code implementations • 6 Aug 2017 • Chen Chen, Baochang Zhang, Alessio Del Bue, Vittorio Murino
Low-rank decomposition (LRD) is a state-of-the-art method for visual data reconstruction and modelling.
no code implementations • 27 Oct 2017 • Chen Chen, Xiaowei Zhao, Yang Liu
In this paper, we present a solution to Large-Scale Video Classification Challenge (LSVC2017) [1] that ranked the 1st place.
no code implementations • 11 Nov 2017 • Baochang Zhang, Shangzhen Luan, Chen Chen, Jungong Han, Wei Wang, Alessandro Perina, Ling Shao
In this paper, we introduce an intermediate step -- solution sampling -- after the data sampling step to form a subspace, in which an optimal solution can be estimated.
no code implementations • 30 Nov 2017 • Rui Hou, Chen Chen, Mubarak Shah
A video is first divided into equal length clips and next for each clip a set of tube proposals are generated based on 3D CNN features.
no code implementations • 4 Dec 2017 • Mengyuan Liu, Hong Liu, Chen Chen
Then, motion and shape cues are jointly used to generate robust and distinctive spatial-temporal interest points (STIPs): motion-based STIPs and shape-based STIPs.
8 code implementations • CVPR 2018 • Waqas Sultani, Chen Chen, Mubarak Shah
To avoid annotating the anomalous segments or clips in training videos, which is very time consuming, we propose to learn anomaly through the deep multiple instance ranking framework by leveraging weakly labeled training videos, i. e. the training labels (anomalous or normal) are at video-level instead of clip-level.
Ranked #2 on Abnormal Event Detection In Video on UBI-Fights
Activity Recognition Anomaly Detection In Surveillance Videos +2
no code implementations • 1 Apr 2018 • Baochang Zhang, Jiaxin Gu, Chen Chen, Jungong Han, Xiangbo Su, Xian-Bin Cao, Jianzhuang Liu
Compression artifacts reduction (CAR) is a challenging problem in the field of remote sensing.
1 code implementation • 23 Apr 2018 • Chunyu Xie, Ce Li, Baochang Zhang, Chen Chen, Jungong Han, Changqing Zou, Jianzhuang Liu
Specifically, the TARM is deployed in a residual learning module that employs a novel attention learning network to recalibrate the temporal attention of frames in a skeleton sequence.
Ranked #88 on Skeleton Based Action Recognition on NTU RGB+D
19 code implementations • CVPR 2018 • Chen Chen, Qifeng Chen, Jia Xu, Vladlen Koltun
Imaging in low light is challenging due to low photon count and low SNR.
Ranked #4 on Image Denoising on SID x300
1 code implementation • 18 May 2018 • Chen Chen, Shuai Mu, Wanpeng Xiao, Zexiong Ye, Liesi Wu, Qi Ju
In this paper, we propose a novel conditional-generative-adversarial-nets-based image captioning framework as an extension of traditional reinforcement-learning (RL)-based encoder-decoder architecture.
no code implementations • 25 May 2018 • Chen Chen, Min Cao, Xiyuan Hu, Silong Peng
Ideally person re-identification seeks for perfect feature representation and metric model that re-identify all various pedestrians well in non-overlapping views at different locations with different camera configurations, which is very challenging.
no code implementations • 7 Jun 2018 • Chen Chen, Qizhen Weng, Wei Wang, Baochun Li, Bo Li
Efficient model training requires eliminating such stragglers, yet for modern ML workloads, existing load balancing strategies are inefficient and even infeasible.
1 code implementation • 26 Jun 2018 • Junjun Jiang, Jiayi Ma, Chen Chen, Zhongyuan Wang, Zhihua Cai, Lizhe Wang
(1) Unlike the traditional PCA method based on a whole image, SuperPCA takes into account the diversity in different homogeneous regions, that is, different regions should have different projections.
no code implementations • ECCV 2018 • Zhenfeng Fan, Xiyuan Hu, Chen Chen, Silong Peng
The dense correspondence goal is revisited in two perspectives: semantic and topological correspondence.
1 code implementation • 12 Sep 2018 • Junjun Jiang, Jiayi Ma, Zheng Wang, Chen Chen, Xian-Ming Liu
The key idea of RLPA is to exploit knowledge (e. g., the superpixel based spectral-spatial constraints) from the observed hyperspectral images and apply it to the process of label propagation.
1 code implementation • 31 Oct 2018 • Chen Chen, Wenjia Bai, Daniel Rueckert
Segmentation of the left atrium (LA) is crucial for assessing its anatomy in both pre-operative atrial fibrillation (AF) ablation planning and post-operative follow-up studies.
2 code implementations • 22 Nov 2018 • Xiandong Meng, Xuan Deng, Shuyuan Zhu, Shuaicheng Liu, Chuan Wang, Chen Chen, Bing Zeng
In video compression, most of the existing deep learning approaches concentrate on the visual quality of a single frame, while ignoring the useful priors as well as the temporal information of adjacent frames.
no code implementations • 20 Dec 2018 • Yinglong Wang, Shuaicheng Liu, Chen Chen, Dehua Xie, Bing Zeng
We present a novel rain removal method in this paper, which consists of two steps, i. e., detection of rain streaks and reconstruction of the rain-removed image.
1 code implementation • 6 Apr 2019 • Chen Chen, Xiaopeng Liu, Meng Ding, Junfeng Zheng, Jiangyun Li
In this work, we aim to segment brain MRI volumes.
no code implementations • 12 Apr 2019 • Bin Sun, Chen Chen, Yingying Zhu, Jianmin Jiang
The task of cross-view image geo-localization aims to determine the geo-location (GPS coordinates) of a query ground-view image by matching it with the GPS-tagged aerial (satellite) images in a reference dataset.
1 code implementation • 2 Jul 2019 • Chen Chen, Wenjia Bai, Rhodri H. Davies, Anish N. Bhuva, Charlotte Manisty, James C. Moon, Nay Aung, Aaron M. Lee, Mihir M. Sanghvi, Kenneth Fung, Jose Miguel Paiva, Steffen E. Petersen, Elena Lukaschuk, Stefan K. Piechnik, Stefan Neubauer, Daniel Rueckert
We demonstrate that a neural network trained on a single-site single-scanner dataset from the UK Biobank can be successfully applied to segmenting cardiac MR images across different sites and different scanners without substantial loss of accuracy.
no code implementations • 5 Jul 2019 • Wenjia Bai, Chen Chen, Giacomo Tarroni, Jinming Duan, Florian Guitton, Steffen E. Petersen, Yike Guo, Paul M. Matthews, Daniel Rueckert
In the recent years, convolutional neural networks have transformed the field of medical image analysis due to their capacity to learn discriminative image features for a variety of classification and regression tasks.
no code implementations • 21 Jul 2019 • Rui Hou, Chen Chen, Rahul Sukthankar, Mubarak Shah
Convolutional Neural Network (CNN) based image segmentation has made great progress in recent years.
Ranked #64 on Semi-Supervised Video Object Segmentation on DAVIS 2016
no code implementations • 23 Jul 2019 • Chen Chen, Carlo Biffi, Giacomo Tarroni, Steffen Petersen, Wenjia Bai, Daniel Rueckert
Cardiac MR image segmentation is essential for the morphological and functional analysis of the heart.
no code implementations • 20 Aug 2019 • Chen Chen, Cheng Ouyang, Giacomo Tarroni, Jo Schlemper, Huaqi Qiu, Wenjia Bai, Daniel Rueckert
In this work, we present a fully automatic method to segment cardiac structures from late-gadolinium enhanced (LGE) images without using labelled LGE data for training, but instead by transferring the anatomical knowledge and features learned on annotated balanced steady-state free precession (bSSFP) images, which are easier to acquire.
no code implementations • 18 Sep 2019 • Chen Chen, Jaewoo Lee
In this paper we consider the problem of minimizing composite objective functions consisting of a convex differentiable loss function plus a non-smooth regularization term, such as $L_1$ norm or nuclear norm, under R\'enyi differential privacy (RDP).
no code implementations • 25 Sep 2019 • Taojiannan Yang, Sijie Zhu, Yan Shen, Mi Zhang, Andrew Willis, Chen Chen
We propose a framework to mutually learn from different input resolutions and network widths.
1 code implementation • 27 Sep 2019 • Sijie Zhu, Taojiannan Yang, Chen Chen
This work explores the visual explanation for deep metric learning and its applications.
2 code implementations • ECCV 2020 • Taojiannan Yang, Sijie Zhu, Chen Chen, Shen Yan, Mi Zhang, Andrew Willis
We propose the width-resolution mutual learning method (MutualNet) to train a network that is executable at dynamic resource constraints to achieve adaptive accuracy-efficiency trade-offs at runtime.
no code implementations • 30 Sep 2019 • Haotian Fu, Hongyao Tang, Jianye Hao, Wulong Liu, Chen Chen
Most meta reinforcement learning (meta-RL) methods learn to adapt to new tasks by directly optimizing the parameters of policies over primitive action space.
no code implementations • WS 2019 • Danni Ma, Chen Chen, Behzad Golshan, Wang-Chiew Tan
Paraphrases are important linguistic resources for a wide variety of NLP applications.
1 code implementation • ICCV 2019 • Chen Chen, Qifeng Chen, Minh N. Do, Vladlen Koltun
By carefully designing a learning-based pipeline and introducing a new loss function to encourage temporal stability, we train a siamese network on static raw videos, for which ground truth is available, such that the network generalizes to videos of dynamic scenes at test time.
no code implementations • 6 Oct 2019 • Chen Chen, Lisong Qiu, Zhenxin Fu, Dongyan Zhao, Junfei Liu, Rui Yan
Existing dialog systems are all monolingual, where features shared among different languages are rarely explored.
no code implementations • 9 Nov 2019 • Chen Chen, Chen Qin, Huaqi Qiu, Giacomo Tarroni, Jinming Duan, Wenjia Bai, Daniel Rueckert
Deep learning has become the most widely used approach for cardiac image segmentation in recent years.
no code implementations • 12 Nov 2019 • Weiguo Zhou, Xin Jiang, Chen Chen, Sijia Mei, Yun-hui Liu
In this paper, we propose a method that takes advantage of human hand morphological topology (HMT) structure to improve the pose estimation performance.
Robotics Human-Computer Interaction
1 code implementation • 20 Nov 2019 • Chen Chen, Mengyuan Liu, Xiandong Meng, Wanpeng Xiao, Qi Ju
Therefore, high efficiency object detectors on CPU-only devices are urgently-needed in industry.
no code implementations • 16 Jan 2020 • Yichen Zhang, Chen Chen, Guodong Liu, Tianqi Hong, Feng Qiu
In this paper, we introduce a deep learning aided constraint encoding method to tackle the frequency-constraint microgrid scheduling problem.
no code implementations • IACR Transactions on Cryptographic Hardware and Embedded Systems 2020 • Neng Zhang, Bohan Yang, Chen Chen, Shouyi Yin, Shaojun Wei and Leibo Liu*
First, both the pre-processing of NTT and the post-processing of INTT are merged into the fast Fourier transform (FFT) algorithm, which reduces N and 2N modular multiplications for N-point NTT and INTT, respectively.
1 code implementation • 6 Feb 2020 • Yao Deng, Xi Zheng, Tianyi Zhang, Chen Chen, Guannan Lou, Miryung Kim
We derive several implications for system and middleware builders: (1) when adding a defense component against adversarial attacks, it is important to deploy multiple defense methods in tandem to achieve a good coverage of various attacks, (2) a blackbox attack is much less effective compared with a white-box attack, implying that it is important to keep model details (e. g., model architecture, hyperparameters) confidential via model obfuscation, and (3) driving models with a complex architecture are preferred if computing resources permit as they are more resilient to adversarial attacks than simple models.
1 code implementation • AKBC 2020 • Nikita Bhutani, Aaron Traylor, Chen Chen, Xiaolan Wang, Behzad Golshan, Wang-Chiew Tan
Since it can be expensive to obtain training data to learn to extract implications for each new domain of reviews, we propose an unsupervised KBC system, Sampo, Specifically, Sampo is tailored to build KBs for domains where many reviews on the same domain are available.
no code implementations • 5 Mar 2020 • Yichen Zhang, Chen Chen, Tianqi Hong, Bai Cui, Bo Chen, Feng Qiu
The capability to switch between grid-connected and islanded modes has promoted adoption of microgrid technology for powering remote locations.
3 code implementations • CVPR 2020 • Kui Jiang, Zhongyuan Wang, Peng Yi, Chen Chen, Baojin Huang, Yimin Luo, Jiayi Ma, Junjun Jiang
In this work, we explore the multi-scale collaborative representation for rain streaks from the perspective of input image scales and hierarchical deep features in a unified framework, termed multi-scale progressive fusion network (MSPFN) for single image rain streak removal.
Ranked #6 on Single Image Deraining on Test2800
no code implementations • 1 Apr 2020 • Sijie Zhu, Chen Chen, Waqas Sultani
Temporal localization (i. e. indicating the start and end frames of the anomaly event in a video) is referred to as frame-level detection.
no code implementations • 6 Apr 2020 • Aaron Traylor, Chen Chen, Behzad Golshan, Xiaolan Wang, Yuliang Li, Yoshihiko Suhara, Jinfeng Li, Cagatay Demiralp, Wang-Chiew Tan
In this paper, we introduce xSense, an effective system for review comprehension using domain-specific commonsense knowledge bases (xSense KBs).
1 code implementation • 12 Apr 2020 • Changlin Li, Taojiannan Yang, Sijie Zhu, Chen Chen, Shanyue Guan
Specifically, we propose a Density-Map guided object detection Network (DMNet), which is inspired from the observation that the object density map of an image presents how objects distribute in terms of the pixel intensity of the map.
no code implementations • 22 Apr 2020 • Waqas Sultani, Qazi Ammar Arshad, Chen Chen
Temporal localization (i. e. indicating the start and end frames of the action in a video) is referred to as frame-level detection.
1 code implementation • 26 Apr 2020 • Zhaohan Xiong, Qing Xia, Zhiqiang Hu, Ning Huang, Cheng Bian, Yefeng Zheng, Sulaiman Vesal, Nishant Ravikumar, Andreas Maier, Xin Yang, Pheng-Ann Heng, Dong Ni, Caizi Li, Qianqian Tong, Weixin Si, Elodie Puybareau, Younes Khoudli, Thierry Geraud, Chen Chen, Wenjia Bai, Daniel Rueckert, Lingchao Xu, Xiahai Zhuang, Xinzhe Luo, Shuman Jia, Maxime Sermesant, Yashu Liu, Kuanquan Wang, Davide Borra, Alessandro Masci, Cristiana Corsi, Coen de Vente, Mitko Veta, Rashed Karim, Chandrakanth Jayachandran Preetha, Sandy Engelhardt, Menyun Qiao, Yuanyuan Wang, Qian Tao, Marta Nunez-Garcia, Oscar Camara, Nicolo Savioli, Pablo Lamata, Jichao Zhao
Segmentation of cardiac images, particularly late gadolinium-enhanced magnetic resonance imaging (LGE-MRI) widely used for visualizing diseased cardiac structures, is a crucial first step for clinical diagnosis and treatment.
no code implementations • 30 Apr 2020 • Li'an Zhuo, Baochang Zhang, Hanlin Chen, Linlin Yang, Chen Chen, Yanjun Zhu, David Doermann
To this end, a Child-Parent (CP) model is introduced to a differentiable NAS to search the binarized architecture (Child) under the supervision of a full-precision model (Parent).
no code implementations • 1 May 2020 • Hao Dou, Chen Chen, Xiyuan Hu, Zuxing Xuan, Zhisen Hu, Silong Peng
Generative Adversarial Networks (GAN) have been employed for face super resolution but they bring distorted facial details easily and still have weakness on recovering realistic texture.
no code implementations • 7 May 2020 • Talal Alatiah, Chen Chen
Artificial intelligence technology has made its way absolutely necessary in a variety of industries including the fitness industry.
no code implementations • 18 May 2020 • Jia Xue, Junxiang Chen, Chen Chen, Chengda Zheng, Sijia Li, Tingshao Zhu
The study aims to understand Twitter users' discourse and psychological reactions to COVID-19.
no code implementations • 20 May 2020 • Chen Chen, Shu Fu, Xin Jian, Min Liu, Xiong Deng, Zhiguo Ding
In order to improve the energy efficiency (EE) of the bidirectional LiFi-IoT system, non-orthogonal multiple access (NOMA) with a quality-of-service (QoS)-guaranteed optimal power allocation (OPA) strategy is applied to maximize the EE of the system.
no code implementations • 23 May 2020 • Sijie Zhu, Taojiannan Yang, Chen Chen
Street-to-aerial image geo-localization, which matches a query street-view image to the GPS-tagged aerial images in a reference set, has attracted increasing attention recently.
no code implementations • 26 May 2020 • Jia Xue, Junxiang Chen, Ran Hu, Chen Chen, Chengda Zheng, Xiaoqian Liu, Tingshao Zhu
Across all identified topics, the dominant sentiments for the spread of coronavirus are anticipation that measures that can be taken, followed by a mixed feeling of trust, anger, and fear for different topics.
1 code implementation • 8 Jun 2020 • Chen Qin, Shuo Wang, Chen Chen, Huaqi Qiu, Wenjia Bai, Daniel Rueckert
The learnt VAE regulariser then can be coupled with any deep learning based registration network to regularise the solution space to be biomechanically plausible.
1 code implementation • NeurIPS 2020 • Taojiannan Yang, Sijie Zhu, Chen Chen
The key idea is utilizing randomly transformed training samples to regularize a set of sub-networks, which are originated by sampling the width of the original network, in the training process.
no code implementations • 15 Jun 2020 • Chen Chen, Jingfeng Zhang, Anthony K. H. Tung, Mohan Kankanhalli, Gang Chen
We argue that the key to Byzantine detection is monitoring of gradients of the model parameters of clients.
no code implementations • 22 Jun 2020 • Xiahai Zhuang, Jiahang Xu, Xinzhe Luo, Chen Chen, Cheng Ouyang, Daniel Rueckert, Victor M. Campello, Karim Lekadir, Sulaiman Vesal, Nishant Ravikumar, Yashu Liu, Gongning Luo, Jingkun Chen, Hongwei Li, Buntheng Ly, Maxime Sermesant, Holger Roth, Wentao Zhu, Jiexiang Wang, Xinghao Ding, Xinyue Wang, Sen yang, Lei LI
In addition, the paired MS-CMR images could enable algorithms to combine the complementary information from the other sequences for the segmentation of LGE CMR.
1 code implementation • 23 Jun 2020 • Chen Chen, Chen Qin, Huaqi Qiu, Cheng Ouyang, Shuo Wang, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert
In this work, we propose an adversarial data augmentation method for training neural networks for medical image segmentation.
no code implementations • 23 Jun 2020 • Shuo Wang, Giacomo Tarroni, Chen Qin, Yuanhan Mo, Chengliang Dai, Chen Chen, Ben Glocker, Yike Guo, Daniel Rueckert, Wenjia Bai
Our approach provides a real-time and model-agnostic quality control for cardiac MRI segmentation, which has the potential to be integrated into clinical image analysis workflows.
no code implementations • 24 Jun 2020 • Esther Puyol-Antón, Chen Chen, James R. Clough, Bram Ruijsink, Baldeep S. Sidhu, Justin Gould, Bradley Porter, Mark Elliott, Vishal Mehta, Daniel Rueckert, Christopher A. Rinaldi, Andrew P. King
Our key contribution is that the VAE disentangles the latent space based on `explanations' drawn from existing clinical knowledge.
no code implementations • ICML 2020 • Denny Zhou, Mao Ye, Chen Chen, Tianjian Meng, Mingxing Tan, Xiaodan Song, Quoc Le, Qiang Liu, Dale Schuurmans
This is achieved by layerwise imitation, that is, forcing the thin network to mimic the intermediate outputs of the wide network from layer to layer.
1 code implementation • 8 Jul 2020 • Chunwei Tian, Ruibin Zhuge, Zhihao Wu, Yong Xu, WangMeng Zuo, Chen Chen, Chia-Wen Lin
Finally, the IRB uses coarse high-frequency features from the RB to learn more accurate SR features and construct a SR image.
Ranked #44 on Image Super-Resolution on Set14 - 4x upscaling
3 code implementations • ECCV 2020 • Cheng Ouyang, Carlo Biffi, Chen Chen, Turkay Kart, Huaqi Qiu, Daniel Rueckert
Few-shot semantic segmentation (FSS) has great potential for medical imaging applications.
1 code implementation • 2 Aug 2020 • Yu Shen, Sijie Zhu, Chen Chen, Qian Du, Liang Xiao, Jianyu Chen, Delu Pan
Therefore, to incorporate the long-range contextual information, a deep fully convolutional network (FCN) with an efficient non-local module, named ENL-FCN, is proposed for HSI classification.
no code implementations • 18 Aug 2020 • Chen Chen, Jaewoo Lee
In this paper, we introduce a stochastic variant of classic backtracking line search algorithm that satisfies R\'enyi differential privacy.
1 code implementation • 7 Sep 2020 • Min Cao, Chen Chen, Hao Dou, Xiyuan Hu, Silong Peng, Arjan Kuijper
Most existing person re-identification methods compute pairwise similarity by extracting robust visual features and learning the discriminative metric.
no code implementations • 28 Sep 2020 • Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Wulong Liu, Yaodong Yang
The value function lies in the heart of Reinforcement Learning (RL), which defines the long-term evaluation of a policy in a given state.
1 code implementation • 29 Sep 2020 • Haotian Fu, Hongyao Tang, Jianye Hao, Chen Chen, Xidong Feng, Dong Li, Wulong Liu
How to collect informative trajectories of which the corresponding context reflects the specification of tasks?
no code implementations • EMNLP 2020 • Xinyin Ma, Yongliang Shen, Gongfan Fang, Chen Chen, Chenghao Jia, Weiming Lu
To the best of our knowledge, our framework is the first data-free distillation framework designed for NLP tasks.
no code implementations • NeurIPS 2021 • Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Changmin Yu, Hangyu Mao, Wulong Liu, Yaodong Yang, Wenyuan Tao, Li Wang
We study Policy-extended Value Function Approximator (PeVFA) in Reinforcement Learning (RL), which extends conventional value function approximator (VFA) to take as input not only the state (and action) but also an explicit policy representation.
no code implementations • NAACL 2021 • Xiaotao Gu, Liyuan Liu, Hongkun Yu, Jing Li, Chen Chen, Jiawei Han
Due to the excessive cost of large-scale language model pre-training, considerable efforts have been made to train BERT progressively -- start from an inferior but low-cost model and gradually grow the model to increase the computational complexity.
no code implementations • 27 Oct 2020 • Yu Shen, Sijie Zhu, Taojiannan Yang, Chen Chen
Fast and effective responses are required when a natural disaster (e. g., earthquake, hurricane, etc.)
Ranked #2 on 2D Semantic Segmentation on xBD
no code implementations • Findings of the Association for Computational Linguistics 2020 • Jiale Yu, Yongliang Shen, Xinyin Ma, Chenghao Jia, Chen Chen, Weiming Lu
Extensive experiments on a real-world dataset show the effectiveness of our approach.
1 code implementation • 3 Nov 2020 • Bochao Wang, Hang Xu, Jiajin Zhang, Chen Chen, Xiaozhi Fang, Yixing Xu, Ning Kang, Lanqing Hong, Chenhan Jiang, Xinyue Cai, Jiawei Li, Fengwei Zhou, Yong Li, Zhicheng Liu, Xinghao Chen, Kai Han, Han Shu, Dehua Song, Yunhe Wang, Wei zhang, Chunjing Xu, Zhenguo Li, Wenzhi Liu, Tong Zhang
Automated Machine Learning (AutoML) is an important industrial solution for automatic discovery and deployment of the machine learning models.
1 code implementation • 7 Nov 2020 • Weiping Yu, Taojiannan Yang, Chen Chen
To this end, we rethink long-tailed object detection in UAV images and propose the Dual Sampler and Head detection Network (DSHNet), which is the first work that aims to resolve long-tail distribution in UAV images.
no code implementations • 10 Nov 2020 • Xiaoyu Mao, Jun Fu, Chen Chen, Yue Li, Heng Liu, Ming Gong, Hualing Zeng
With the saturated ferroelectric polarization of CIPS, electron-doped or hole-doped MoSe$_2$ is realized in a single device with a large carrier density tunability up to $5\times 10^{12}$cm$^{-2}$.
Materials Science
1 code implementation • CVPR 2021 • Sijie Zhu, Taojiannan Yang, Chen Chen
In this paper, we redefine this problem with a more realistic assumption that the query image can be arbitrary in the area of interest and the reference images are captured before the queries emerge.
no code implementations • 24 Nov 2020 • Sijie Zhu, Taojiannan Yang, Matias Mendieta, Chen Chen
Even under the same computational constraints, the performance of our adaptive networks can be significantly boosted over the baseline counterparts by the mutual training along three dimensions.
no code implementations • 7 Dec 2020 • Lingjuan Lyu, Han Yu, Xingjun Ma, Chen Chen, Lichao Sun, Jun Zhao, Qiang Yang, Philip S. Yu
Besides training powerful global models, it is of paramount importance to design FL systems that have privacy guarantees and are resistant to different types of adversaries.
1 code implementation • 24 Dec 2020 • Ce Zheng, Wenhan Wu, Chen Chen, Taojiannan Yang, Sijie Zhu, Ju Shen, Nasser Kehtarnavaz, Mubarak Shah
Furthermore, 2D and 3D human pose estimation datasets and evaluation metrics are included.
no code implementations • 28 Dec 2020 • Bowen Zhao, Chen Chen, Xi Xiao, Shutao Xia
Object detectors are typically learned on fully-annotated training data with fixed predefined categories.
no code implementations • 5 Jan 2021 • Ian E. Jacobs, Gabriele D'Avino, Yue Lin, Vincent Lemaur, Yuxuan Huang, Xinglong Ren, Dimitrios Simatos, William Wood, Chen Chen, Thomas Harrelson, Tarig Mustafa, Christopher A. O'Keefe, Leszek Spalek, Dion Tjhe, Martin Statz, Lianglun Lai, Peter A. Finn, William G. Neal, Joseph Strzalka, Christian B. Nielsen, Jin-Kyun Lee, Stephen Barlow, Seth R. Marder, Iain McCulloch, Simone Fratini, David Beljonne, Henning Sirringhaus
Doped organic semiconductors are critical to emerging device applications, including thermoelectrics, bioelectronics, and neuromorphic computing devices.
Materials Science
no code implementations • 23 Jan 2021 • Xinwei Zhao, Chen Chen, Matthew C. Stamm
In this paper, we propose a new anti-forensic attack framework designed to remove forensic traces left by a variety of manipulation operations.
no code implementations • 30 Jan 2021 • Chengli Peng, Jiayi Ma, Chen Chen, Xiaojie Guo
To verify the efficiency of the proposed bilateral attention decoder, we adopt a lightweight network as the backbone and compare our proposed method with other state-of-the-art real-time semantic segmentation methods on the Cityscapes and Camvid datasets.
no code implementations • 15 Feb 2021 • Chen Chen, Jingfeng Zhang, Xilie Xu, Tianlei Hu, Gang Niu, Gang Chen, Masashi Sugiyama
To enhance adversarial robustness, adversarial training learns deep neural networks on the adversarial variants generated by their natural data.
no code implementations • 17 Feb 2021 • Qazi Ammar Arshad, Mohsen Ali, Saeed-Ul Hassan, Chen Chen, Ayisha Imran, Ghulam Rasul, Waqas Sultani
Malaria microscopy, microscopic examination of stained blood slides to detect parasite Plasmodium, is considered to be a gold-standard for detecting life-threatening disease malaria.
1 code implementation • 3 Mar 2021 • Hongyao Tang, Jianye Hao, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Zhaopeng Meng
Value function is the central notion of Reinforcement Learning (RL).
no code implementations • 3 Mar 2021 • Chen Chen, Hongyao Tang, Jianye Hao, Wulong Liu, Zhaopeng Meng
We propose Nested Policy Iteration as a general training algorithm for PIC-augmented policy which ensures monotonically non-decreasing updates under some mild conditions.
1 code implementation • 4 Mar 2021 • Ruixu Liu, Ju Shen, He Wang, Chen Chen, Sen-ching Cheung, Vijayan K. Asari
In this work, we show a systematic design (from 2D to 3D) for how conventional networks and other forms of constraints can be incorporated into the attention framework for learning long-range dependencies for the task of pose estimation.
Ranked #6 on 3D Human Pose Estimation on HumanEva-I
2 code implementations • 7 Mar 2021 • Wenxuan Wang, Chen Chen, Meng Ding, Jiangyun Li, Hong Yu, Sen Zha
To capture the local 3D context information, the encoder first utilizes 3D CNN to extract the volumetric spatial feature maps.
no code implementations • 7 Mar 2021 • Chen Chen, Kezhi Kong, Peihong Yu, Juan Luque, Tom Goldstein, Furong Huang
Randomized smoothing (RS) is an effective and scalable technique for constructing neural network classifiers that are certifiably robust to adversarial perturbations.
no code implementations • 8 Mar 2021 • Yang Li, Chunling Wang, Guoqing Li, Chen Chen
In order to balance the interests of integrated energy operator (IEO) and users, a novel Stackelberg game-based optimization framework is proposed for the optimal scheduling of integrated demand response (IDR)-enabled integrated energy systems with uncertain renewable generations, where the IEO acts as the leader who pursues the maximization of his profits by setting energy prices, while the users are the follower who adjusts energy consumption plans to minimize their energy costs.
1 code implementation • 18 Mar 2021 • Weiping Yu, Sijie Zhu, Taojiannan Yang, Chen Chen
Unlike most recent works that focused on applying active learning for image classification, we propose an effective Consistency-based Active Learning method for object Detection (CALD), which fully explores the consistency between original and augmented data.
3 code implementations • ICCV 2021 • Ce Zheng, Sijie Zhu, Matias Mendieta, Taojiannan Yang, Chen Chen, Zhengming Ding
Transformer architectures have become the model of choice in natural language processing and are now being introduced into computer vision tasks such as image classification, object detection, and semantic segmentation.
Ranked #12 on Monocular 3D Human Pose Estimation on Human3.6M
1 code implementation • 19 Mar 2021 • Kui Jiang, Zhongyuan Wang, Zheng Wang, Chen Chen, Peng Yi, Tao Lu, Chia-Wen Lin
Different from existing methods tending to accomplish the relighting task directly by ignoring the fidelity and naturalness recovery, we investigate the intrinsic degradation and relight the low-light image while refining the details and color in two steps.
1 code implementation • Journal of Computer Science 2021 • HungChun Lin, Chen Chen, Gaofeng Huang, Amir Jafari
In this paper, it proposes a stock prediction model using Generative Adversarial Network (GAN) with Gated Recurrent Units (GRU) used as a generator that inputs historical stock price and generates future stock price and Convolutional Neural Network (CNN) as a discriminator to discriminate between the real stock price and generated stock price.
1 code implementation • 5 Apr 2021 • Yoshihiko Suhara, Jinfeng Li, Yuliang Li, Dan Zhang, Çağatay Demiralp, Chen Chen, Wang-Chiew Tan
Inferring meta information about tables, such as column headers or relationships between columns, is an active research topic in data management as we find many tables are missing some of this information.
Ranked #1 on Column Type Annotation on VizNet-Sato-MultiColumn
1 code implementation • 6 Apr 2021 • Jennifer J. Sun, Tomomi Karigo, Dipam Chakraborty, Sharada P. Mohanty, Benjamin Wild, Quan Sun, Chen Chen, David J. Anderson, Pietro Perona, Yisong Yue, Ann Kennedy
Multi-agent behavior modeling aims to understand the interactions that occur between agents.
1 code implementation • CVPR 2021 • Hui Lv, Chen Chen, Zhen Cui, Chunyan Xu, Yong Li, Jian Yang
Frame reconstruction (current or future frame) based on Auto-Encoder (AE) is a popular method for video anomaly detection.
1 code implementation • 21 Apr 2021 • Shaoyu Zhang, Chen Chen, Xiyuan Hu, Silong Peng
Existing methods usually modify the classification loss to increase the learning focus on tail classes, which unexpectedly sacrifice the performance on head classes.
1 code implementation • 14 May 2021 • Taojiannan Yang, Sijie Zhu, Matias Mendieta, Pu Wang, Ravikumar Balakrishnan, Minwoo Lee, Tao Han, Mubarak Shah, Chen Chen
MutualNet is a general training methodology that can be applied to various network structures (e. g., 2D networks: MobileNets, ResNet, 3D networks: SlowFast, X3D) and various tasks (e. g., image classification, object detection, segmentation, and action recognition), and is demonstrated to achieve consistent improvements on a variety of datasets.
1 code implementation • 16 May 2021 • Yu Shen, Sijie Zhu, Taojiannan Yang, Chen Chen, Delu Pan, Jianyu Chen, Liang Xiao, Qian Du
With a pair of pre- and post-disaster satellite images, building damage assessment aims at predicting the extent of damage to buildings.
Ranked #1 on 2D Semantic Segmentation on xBD
no code implementations • 23 May 2021 • Chen Chen, Xuanli He, Lingjuan Lyu, Fangzhao Wu
In this work, we bridge this gap by first presenting an effective model extraction attack, where the adversary can practically steal a BERT-based API (the target/victim model) by only querying a limited number of queries.
no code implementations • 26 May 2021 • Yong Qian, Zhongqing Wang, Rong Xiao, Chen Chen, Haihong Tang
Previous studies show effective of pre-trained language models for sentiment analysis.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +1
no code implementations • 4 Jun 2021 • Xiaoying Xing, Hongfu Liu, Chen Chen, Jundong Li
Feature selection is a prevalent data preprocessing paradigm for various learning tasks.
1 code implementation • 6 Jun 2021 • Alex Morehead, Chen Chen, Ada Sedova, Jianlin Cheng
In this work, we expand on a dataset recently introduced for this task, the Database of Interacting Protein Structures (DIPS), to present DIPS-Plus, an enhanced, feature-rich dataset of 42, 112 complexes for geometric deep learning of protein interfaces.
no code implementations • 7 Jun 2021 • Bowen Zhao, Chen Chen, Qi Ju, Shutao Xia
Training on class-imbalanced data usually results in biased models that tend to predict samples into the majority classes, which is a common and notorious problem.
no code implementations • 24 Jun 2021 • Chen Chen, Lin Zeng, Xin Zhong, Shu Fu, Min Liu, Pengfei Du
In this paper, we propose an orthogonal frequency division multiplexing (OFDM)-based generalized optical quadrature spatial modulation (GOQSM) technique for multiple-input multiple-output optical wireless communication (MIMO-OWC) systems.
2 code implementations • 2 Jul 2021 • Chen Chen, Kerstin Hammernik, Cheng Ouyang, Chen Qin, Wenjia Bai, Daniel Rueckert
In this paper, we present a cooperative framework for training image segmentation models and a latent space augmentation method for generating hard examples.
no code implementations • 8 Jul 2021 • Shuo Wang, Chen Qin, Nicolo Savioli, Chen Chen, Declan O'Regan, Stuart Cook, Yike Guo, Daniel Rueckert, Wenjia Bai
In cardiac magnetic resonance (CMR) imaging, a 3D high-resolution segmentation of the heart is essential for detailed description of its anatomical structures.
1 code implementation • 7 Aug 2021 • Chen Chen, Chen Qin, Cheng Ouyang, Zeju Li, Shuo Wang, Huaqi Qiu, Liang Chen, Giacomo Tarroni, Wenjia Bai, Daniel Rueckert
The success of neural networks on medical image segmentation tasks typically relies on large labeled datasets for model training.
no code implementations • 16 Aug 2021 • Lingjuan Lyu, Chen Chen
We perform the first systematic evaluation of attribute reconstruction attack (ARA) launched by the malicious server in the FL system, and empirically demonstrate that the shared epoch-averaged local model gradients can reveal sensitive attributes of local training data of any victim participant.
no code implementations • 24 Aug 2021 • Xidong Feng, Chen Chen, Dong Li, Mengchen Zhao, Jianye Hao, Jun Wang
Meta learning, especially gradient based one, can be adopted to tackle this problem by learning initial parameters of the model and thus allowing fast adaptation to a specific task from limited data examples.
no code implementations • 22 Sep 2021 • Tareen Dawood, Chen Chen, Robin Andlauer, Baldeep S. Sidhu, Bram Ruijsink, Justin Gould, Bradley Porter, Mark Elliott, Vishal Mehta, C. Aldo Rinaldi, Esther Puyol-Antón, Reza Razavi, Andrew P. King
Evaluation of predictive deep learning (DL) models beyond conventional performance metrics has become increasingly important for applications in sensitive environments like healthcare.
no code implementations • 29 Sep 2021 • Pengjie Gu, Mengchen Zhao, Chen Chen, Dong Li, Jianye Hao, Bo An
Offline reinforcement learning is a promising approach for practical applications since it does not require interactions with real-world environments.
2 code implementations • ICLR 2022 • Alex Morehead, Chen Chen, Jianlin Cheng
Computational methods for predicting the interface contacts between proteins come highly sought after for drug discovery as they can significantly advance the accuracy of alternative approaches, such as protein-protein docking, protein function analysis tools, and other computational methods for protein bioinformatics.
no code implementations • 8 Oct 2021 • Xin Zhong, Chen Chen, Shu Fu, Zhihong Zeng, Min Liu
Generalized optical multiple-input multiple-output (GOMIMO) techniques have been recently shown to be promising for high-speed optical wireless communication (OWC) systems.
2 code implementations • 11 Oct 2021 • Yuchen Hu, Nana Hou, Chen Chen, Eng Siong Chng
Speech enhancement (SE) aims to suppress the additive noise from a noisy speech signal to improve the speech's perceptual quality and intelligibility.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +3
no code implementations • 11 Oct 2021 • Shaoyu Zhang, Chen Chen, Xiujuan Zhang, Silong Peng
When applying mixup to long-tailed data, a label suppression issue arises, where the frequency of label occurrence for each class is imbalanced and most of the new examples will be completely or partially assigned with head labels.
no code implementations • 14 Oct 2021 • Pinyarash Pinyoanuntapong, Prabhu Janakaraj, Ravikumar Balakrishnan, Minwoo Lee, Chen Chen, Pu Wang
To solve such MDP, multi-agent reinforcement learning (MA-RL) algorithms along with domain-specific action space refining schemes are developed, which online learn the delay-minimum forwarding paths to minimize the model exchange latency between the edge devices (i. e., workers) and the remote server.
no code implementations • 18 Oct 2021 • Pinyarash Pinyoanuntapong, Tagore Pothuneedi, Ravikumar Balakrishnan, Minwoo Lee, Chen Chen, Pu Wang
Federated Learning (FL) over wireless multi-hop edge computing networks, i. e., multi-hop FL, is a cost-effective distributed on-device deep learning paradigm.
no code implementations • 18 Oct 2021 • Haoran Sun, Chen Chen, Lantian Li, Dong Wang
SpeechFlow is a powerful factorization model based on information bottleneck (IB), and its effectiveness has been reported by several studies.
no code implementations • 24 Oct 2021 • Yangang Ren, Jianhua Jiang, Dongjie Yu, Shengbo Eben Li, Jingliang Duan, Chen Chen, Keqiang Li
This paper develops the dynamic permutation state representation in the framework of integrated decision and control (IDC) to handle signalized intersections with mixed traffic flows.
1 code implementation • 8 Nov 2021 • Caleb Bugg, Chen Chen, Anil Aswani
Unlike matrix completion, tensor completion does not have an algorithm that is known to achieve the information-theoretic sample complexity rate.
no code implementations • 18 Nov 2021 • Xuejing Zheng, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo
In this paper, we propose Lifelong reinforcement learning with Sequential linear temporal logic formulas and Reward Machines (LSRM), which enables an agent to leverage previously learned knowledge to fasten learning of logically specified tasks.
no code implementations • 19 Nov 2021 • Zhigang Ye, Chen Chen, Ruihuan Liu, Kai Wu, Zhaohong Bie, Guannan Lou, Wei Gu, Yubo Yuan
Enhancing restoration capabilities of distribution systems is one of the main strategies for resilient power systems to cope with extreme events.
1 code implementation • 24 Nov 2021 • Ce Zheng, Matias Mendieta, Pu Wang, Aidong Lu, Chen Chen
We propose a pose analysis module that uses graph transformers to exploit structured and implicit joint correlations, and a mesh regression module that combines the extracted pose feature with the mesh template to reconstruct the final human mesh.
Ranked #61 on 3D Human Pose Estimation on 3DPW
1 code implementation • 24 Nov 2021 • Cheng Ouyang, Chen Chen, Surui Li, Zeju Li, Chen Qin, Wenjia Bai, Daniel Rueckert
In this work, we investigate the single-source domain generalization problem: training a deep network that is robust to unseen domains, under the condition that training data is only available from one source domain, which is common in medical imaging applications.
1 code implementation • 25 Nov 2021 • Bowen Zhao, Chen Chen, Qian-Wei Wang, Anfeng He, Shu-Tao Xia
For challenge B, we point out that the gradient contribution statistics can be a reliable indicator to inspect whether the optimization is dominated by bias-aligned samples.
1 code implementation • CVPR 2022 • Matias Mendieta, Taojiannan Yang, Pu Wang, Minwoo Lee, Zhengming Ding, Chen Chen
To alleviate this issue, many FL algorithms focus on mitigating the effects of data heterogeneity across clients by introducing a variety of proximal terms, some incurring considerable compute and/or memory overheads, to restrain local updates with respect to the global model.
no code implementations • 5 Dec 2021 • Yang Li, Meng Zhang, Chen Chen
Facing the difficulty of expensive and trivial data collection and annotation, how to make a deep learning-based short-term voltage stability assessment (STVSA) model work well on a small training dataset is a challenging and urgent problem.
1 code implementation • 7 Dec 2021 • Huaqi Qiu, Kerstin Hammernik, Chen Qin, Chen Chen, Daniel Rueckert
Deep learning (DL) image registration methods amortize the costly pair-wise iterative optimization by training deep neural networks to predict the optimal transformation in one fast forward-pass.
no code implementations • 14 Dec 2021 • Yang Li, Bin Wang, Zhen Yang, Jiazheng Li, Chen Chen
An operating entity utilizing community-integrated energy systems with a large number of small-scale distributed energy sources can easily trade with existing distribution markets.
no code implementations • 18 Dec 2021 • Hankz Hankui Zhuo, Shuting Deng, Mu Jin, Zhihao Ma, Kebing Jin, Chen Chen, Chao Yu
Despite of achieving great success in real-world applications, Deep Reinforcement Learning (DRL) is still suffering from three critical issues, i. e., data efficiency, lack of the interpretability and transferability.
1 code implementation • 23 Dec 2021 • Jie Zhang, Chen Chen, Bo Li, Lingjuan Lyu, Shuang Wu, Shouhong Ding, Chunhua Shen, Chao Wu
One-shot Federated Learning (FL) has recently emerged as a promising approach, which allows the central server to learn a model in a single communication round.
1 code implementation • AAAI 2022 2021 • Yue He, Chen Chen, Jing Zhang, Juhua Liu, Fengxiang He, Chaoyue Wang, Bo Du
Technically, given the character segmentation maps predicted by a VR model, we construct a subgraph for each instance, where nodes represent the pixels in it and edges are added between nodes based on their spatial similarity.
Ranked #9 on Scene Text Recognition on ICDAR2015 (using extra training data)
1 code implementation • 6 Jan 2022 • Chen Chen, Zhe Chen, Jing Zhang, DaCheng Tao
We observe that the prevailing set abstraction design for down-sampling points may maintain too much unimportant background information that can affect feature learning for detecting objects.
1 code implementation • 30 Jan 2022 • Jiangyun Li, Wenxuan Wang, Chen Chen, Tianxiang Zhang, Sen Zha, Jing Wang, Hong Yu
Different from TransBTS, the proposed TransBTSV2 is not limited to brain tumor segmentation (BTS) but focuses on general medical image segmentation, providing a stronger and more efficient 3D baseline for volumetric segmentation of medical images.
1 code implementation • 12 Feb 2022 • Zhen Li, Guenevere, Chen, Chen Chen, Yayi Zou, Shouhuai Xu
Recent studies show that current source code authorship attribution methods can be compromised by attackers exploiting adversarial examples and coding style manipulation.
no code implementations • 16 Feb 2022 • Dharma Shukla, Muthian Sivathanu, Srinidhi Viswanatha, Bhargav Gulavani, Rimma Nehme, Amey Agrawal, Chen Chen, Nipun Kwatra, Ramachandran Ramjee, Pankaj Sharma, Atul Katiyar, Vipul Modi, Vaibhav Sharma, Abhishek Singh, Shreshth Singhal, Kaustubh Welankar, Lu Xun, Ravi Anupindi, Karthik Elangovan, Hasibur Rahman, Zhou Lin, Rahul Seetharaman, Cheng Xu, Eddie Ailijiang, Suresh Krishnappa, Mark Russinovich
At the heart of Singularity is a novel, workload-aware scheduler that can transparently preempt and elastically scale deep learning workloads to drive high utilization without impacting their correctness or performance, across a global fleet of AI accelerators (e. g., GPUs, FPGAs).
1 code implementation • 28 Mar 2022 • Yuchen Hu, Nana Hou, Chen Chen, Eng Siong Chng
Then, we propose style learning to map the fused feature close to clean feature, in order to learn latent speech information from the latter, i. e., clean "speech style".
Automatic Speech Recognition Automatic Speech Recognition (ASR) +3
1 code implementation • CVPR 2022 • Ishan Rajendrakumar Dave, Chen Chen, Mubarak Shah
Existing approaches for mitigating privacy leakage in action recognition require privacy labels along with the action labels from the video dataset.
Ranked #1 on Action Classification on UCF101
no code implementations • 29 Mar 2022 • Chen Chen, Nana Hou, Yuchen Hu, Heqing Zou, Xiaofeng Qi, Eng Siong Chng
Automated Audio captioning (AAC) is a cross-modal task that generates natural language to describe the content of input audio.
no code implementations • 29 Mar 2022 • Chen Chen, Nana Hou, Yuchen Hu, Shashank Shirol, Eng Siong Chng
Noise-robust speech recognition systems require large amounts of training data including noisy speech data and corresponding transcripts to achieve state-of-the-art performances in face of various practical environments.
1 code implementation • 29 Mar 2022 • Jiangyun Li, Hong Yu, Chen Chen, Meng Ding, Sen Zha
In this model, we design a Supervised Attention Module (SAM) based on the attention mechanism, which can capture more accurate and stable long-range dependency in feature maps without introducing much computational cost.
1 code implementation • 29 Mar 2022 • Heqing Zou, Yuke Si, Chen Chen, Deepu Rajan, Eng Siong Chng
In this paper, we propose an end-to-end speech emotion recognition system using multi-level acoustic information with a newly designed co-attention module.
no code implementations • 31 Mar 2022 • Sijie Zhu, Zhe Lin, Scott Cohen, Jason Kuen, Zhifei Zhang, Chen Chen
To move a step further, this paper proposes GALA (Geometry-and-Lighting-Aware), a generic foreground object search method with discriminative modeling on geometry and lighting compatibility for open-world image compositing.
no code implementations • 31 Mar 2022 • Haochen Zhang, Chen Chen, Shunbo Lei, Zhaohong Bie
Distribution system (DS) restoration after natural disasters often faces the challenge of communication failures to feeder automation (FA) facilities, resulting in prolonged load pick-up process.
1 code implementation • CVPR 2022 • Sijie Zhu, Mubarak Shah, Chen Chen
It does not rely on polar transform and infers faster than CNN-based methods.
Ranked #3 on Image-Based Localization on VIGOR Cross Area
no code implementations • 6 Apr 2022 • Wenhan Cao, Jingliang Duan, Shengbo Eben Li, Chen Chen, Chang Liu, Yu Wang
Both the primal and dual estimators are learned from data using supervised learning techniques, and the explicit sample size is provided, which enables us to guarantee the quality of each learned estimator in terms of feasibility and optimality.
no code implementations • 6 Apr 2022 • Shimin Chen, Chen Chen, Wei Li, Xunqiang Tao, Yandong Guo
In this paper, we propose a unified network for TAD, termed Faster-TAD, by re-purposing a Faster-RCNN like architecture.
no code implementations • 6 Apr 2022 • Shimin Chen, Wei Li, Chen Chen, Jianyang Gu, Jiaming Chu, Xunqiang Tao, Yandong Guo
SEAL consists of two kinds of annotations, SEAL Tubes and SEAL Clips.
1 code implementation • 8 Apr 2022 • Ce Zheng, Matias Mendieta, Chen Chen
In this paper, we propose a two-stream Pyramid crOss-fuSion TransformER network (POSTER), that aims to holistically solve all three issues.
Facial Expression Recognition Facial Expression Recognition (FER)
1 code implementation • 9 Apr 2022 • Momal Ijaz, Renato Diaz, Chen Chen
Our method achieves state-of-the-art performance of 81. 8% accuracy on the benchmark dataset available for nurse activity recognition from the Nurse Care Activity Recognition Challenge.
1 code implementation • 9 Apr 2022 • Jiangyun Li, Sen Zha, Chen Chen, Meng Ding, Tianxiang Zhang, Hong Yu
First, commonly used upsampling methods in the decoder such as interpolation and deconvolution suffer from a local receptive field, unable to encode global contexts.
no code implementations • 13 Apr 2022 • Chen Chen, Yuchen Hu, Nana Hou, Xiaofeng Qi, Heqing Zou, Eng Siong Chng
Although automatic speech recognition (ASR) task has gained remarkable success by sequence-to-sequence models, there are two main mismatches between its training and testing that might lead to performance degradation: 1) The typically used cross-entropy criterion aims to maximize log-likelihood of the training data, while the performance is evaluated by word error rate (WER), not log-likelihood; 2) The teacher-forcing method leads to the dependence on ground truth during training, which means that model has never been exposed to its own prediction before testing.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +2
2 code implementations • 21 Apr 2022 • Yushun Dong, Jing Ma, Song Wang, Chen Chen, Jundong Li
Recently, algorithmic fairness has been extensively studied in graph-based applications.
1 code implementation • 5 May 2022 • Song Wang, Yushun Dong, Xiao Huang, Chen Chen, Jundong Li
Specifically, these works propose to accumulate meta-knowledge across diverse meta-training tasks, and then generalize such meta-knowledge to the target task with a disjoint label set.
no code implementations • 16 May 2022 • Chao Wang, Chen Chen, Dong Li, Bin Wang
Recently, reinforcement learning has been used to address logic synthesis by formulating the operator sequence optimization problem as a Markov decision process.
1 code implementation • 23 May 2022 • Jie Zhang, Chen Chen, Lingjuan Lyu
Knowledge Distillation (KD) is a typical method for training a lightweight student model with the help of a well-trained teacher model.
1 code implementation • CVPR 2023 • Ce Zheng, Matias Mendieta, Taojiannan Yang, Guo-Jun Qi, Chen Chen
Recently, vision transformers have shown great success in a set of human reconstruction tasks such as 2D human pose estimation (2D HPE), 3D human pose estimation (3D HPE), and human mesh reconstruction (HMR) tasks.
Ranked #30 on 3D Human Pose Estimation on 3DPW