Search Results for author: Chen Chen

Found 388 papers, 172 papers with code

Forest Sparsity for Multi-channel Compressive Sensing

no code implementations20 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.

Compressive Sensing

Compressive Sensing MRI with Wavelet Tree Sparsity

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.

Compressive Sensing

Image Fusion with Local Spectral Consistency and Dynamic Gradient Sparsity

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.

SIRF: Simultaneous Image Registration and Fusion in A Unified Framework

no code implementations18 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.

Image Registration

Fast Iteratively Reweighted Least Squares Algorithms for Analysis-Based Sparsity Reconstruction

no code implementations18 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.

Compressive Sensing

Measuring and Predicting Tag Importance for Image Retrieval

no code implementations28 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.

Image Retrieval Retrieval +2

GAL: A Global-Attributes Assisted Labeling System for Outdoor Scenes

no code implementations3 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.

Latent Constrained Correlation Filters for Object Localization

no code implementations7 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.

Object Object Localization

A Coarse-to-Fine Indoor Layout Estimation (CFILE) Method

1 code implementation3 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.

Semantic Image Inpainting with Deep Generative Models

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.

Image Inpainting

Cross-View Image Matching for Geo-localization in Urban Environments

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

Tube Convolutional Neural Network (T-CNN) for Action Detection in Videos

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.

Action Detection Image Classification +2

Elite Bases Regression: A Real-time Algorithm for Symbolic Regression

no code implementations24 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.

regression Symbolic Regression

Gabor Convolutional Networks

no code implementations3 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.

Block building programming for symbolic regression

no code implementations22 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.

Computational Efficiency regression +1

A divide and conquer method for symbolic regression

no code implementations23 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.

regression Symbolic Regression

Binary Coding for Partial Action Analysis With Limited Observation Ratios

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.

Action Analysis Action Recognition +3

Fast Modeling Methods for Complex System with Separable Features

no code implementations5 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).

Manifold Constrained Low-Rank Decomposition

no code implementations6 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.

Multi-modal Aggregation for Video Classification

no code implementations27 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.

Classification General Classification +1

Latent Constrained Correlation Filter

no code implementations11 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.

Object Recognition Object Tracking

An End-to-end 3D Convolutional Neural Network for Action Detection and Segmentation in Videos

no code implementations30 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.

Action Detection Action Segmentation +4

Robust 3D Action Recognition through Sampling Local Appearances and Global Distributions

no code implementations4 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.

3D Action Recognition

Real-world Anomaly Detection in Surveillance Videos

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.

Activity Recognition Anomaly Detection In Surveillance Videos +2

Memory Attention Networks for Skeleton-based Action Recognition

1 code implementation23 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.

Action Recognition Skeleton Based Action Recognition +1

Improving Image Captioning with Conditional Generative Adversarial Nets

1 code implementation18 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.

Image Captioning Reinforcement Learning (RL)

Key Person Aided Re-identification in Partially Ordered Pedestrian Set

no code implementations25 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.

Person Re-Identification

Semi-Dynamic Load Balancing: Efficient Distributed Learning in Non-Dedicated Environments

no code implementations7 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.

SuperPCA: A Superpixelwise PCA Approach for Unsupervised Feature Extraction of Hyperspectral Imagery

1 code implementation26 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.

Dimensionality Reduction General Classification

Hyperspectral Image Classification in the Presence of Noisy Labels

1 code implementation12 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.

Classification General Classification +1

Multi-Task Learning for Left Atrial Segmentation on GE-MRI

1 code implementation31 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.

Anatomy General Classification +2

MGANet: A Robust Model for Quality Enhancement of Compressed Video

2 code implementations22 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.

Video Compression

Rain Removal By Image Quasi-Sparsity Priors

no code implementations20 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.

Rain Removal

GeoCapsNet: Aerial to Ground view Image Geo-localization using Capsule Network

no code implementations12 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.

Image Retrieval Retrieval

Improving the generalizability of convolutional neural network-based segmentation on CMR images

1 code implementation2 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.

Image Segmentation Segmentation +1

Self-Supervised Learning for Cardiac MR Image Segmentation by Anatomical Position Prediction

no code implementations5 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.

Image Segmentation Position +4

Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation

no code implementations20 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.

Image Segmentation Segmentation +3

Renyi Differentially Private ADMM for Non-Smooth Regularized Optimization

no code implementations18 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).

feature selection

Visual Explanation for Deep Metric Learning

1 code implementation27 Sep 2019 Sijie Zhu, Taojiannan Yang, Chen Chen

This work explores the visual explanation for deep metric learning and its applications.

Metric Learning Retrieval

MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution

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.

Instance Segmentation object-detection +3

MGHRL: Meta Goal-generation for Hierarchical Reinforcement Learning

no code implementations30 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.

Hierarchical Reinforcement Learning Meta-Learning +3

Seeing Motion in the Dark

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.

Low-Light Image Enhancement

Multilingual Dialogue Generation with Shared-Private Memory

no code implementations6 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.

Cross-Lingual Transfer Dialogue Generation

HMTNet:3D Hand Pose Estimation from Single Depth Image Based on Hand Morphological Topology

no code implementations12 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

Approximating Trajectory Constraints with Machine Learning -- Microgrid Islanding with Frequency Constraints

no code implementations16 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.

BIG-bench Machine Learning Scheduling

Highly Efficient Architecture of NewHope-NIST on FPGA using Low-Complexity NTT/INTT

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.

An Analysis of Adversarial Attacks and Defenses on Autonomous Driving Models

1 code implementation6 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.

Autonomous Driving

Sampo: Unsupervised Knowledge Base Construction for Opinions and Implications

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.

Robust Synthesis of Wind Turbine Generators to Support Microgrid Frequency Considering Linearization-Induced Uncertainty

no code implementations5 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.

Scheduling

Multi-Scale Progressive Fusion Network for Single Image Deraining

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.

Single Image Deraining

Video Anomaly Detection for Smart Surveillance

no code implementations1 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.

Anomaly Detection Temporal Localization +1

Enhancing Review Comprehension with Domain-Specific Commonsense

no code implementations6 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).

Aspect Extraction Knowledge Distillation +3

Density Map Guided Object Detection in Aerial Images

1 code implementation12 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.

Image Cropping Object +3

Action recognition in real-world videos

no code implementations22 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.

Action Recognition Temporal Action Localization +1

CP-NAS: Child-Parent Neural Architecture Search for Binary Neural Networks

no code implementations30 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).

Neural Architecture Search

PCA-SRGAN: Incremental Orthogonal Projection Discrimination for Face Super-resolution

no code implementations1 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.

Super-Resolution

Recognizing Exercises and Counting Repetitions in Real Time

no code implementations7 May 2020 Talal Alatiah, Chen Chen

Artificial intelligence technology has made its way absolutely necessary in a variety of industries including the fitness industry.

BIG-bench Machine Learning Pose Estimation

NOMA for Energy-Efficient LiFi-Enabled Bidirectional IoT Communication

no code implementations20 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.

Revisiting Street-to-Aerial View Image Geo-localization and Orientation Estimation

no code implementations23 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.

Metric Learning

Twitter discussions and emotions about COVID-19 pandemic: a machine learning approach

no code implementations26 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.

BIG-bench Machine Learning

Biomechanics-informed Neural Networks for Myocardial Motion Tracking in MRI

1 code implementation8 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.

Image Registration

GradAug: A New Regularization Method for Deep Neural Networks

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.

Instance Segmentation object-detection +2

Robust Federated Recommendation System

no code implementations15 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.

Recommendation Systems

Realistic Adversarial Data Augmentation for MR Image Segmentation

1 code implementation23 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.

Data Augmentation Image Segmentation +3

Deep Generative Model-based Quality Control for Cardiac MRI Segmentation

no code implementations23 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.

Image Segmentation MRI segmentation +2

Go Wide, Then Narrow: Efficient Training of Deep Thin Networks

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.

Computational Efficiency Model Compression

Lightweight image super-resolution with enhanced CNN

1 code implementation8 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.

Image Super-Resolution

Efficient Deep Learning of Non-local Features for Hyperspectral Image Classification

1 code implementation2 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.

General Classification Hyperspectral Image Classification

Stochastic Adaptive Line Search for Differentially Private Optimization

no code implementations18 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.

LEMMA

Progressive Bilateral-Context Driven Model for Post-Processing Person Re-Identification

1 code implementation7 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.

Large-Scale Person Re-Identification

What About Inputing Policy in Value Function: Policy Representation and Policy-extended Value Function Approximator

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.

Continuous Control Contrastive Learning +3

On the Transformer Growth for Progressive BERT Training

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.

Language Modelling

Towards Resolving the Challenge of Long-tail Distribution in UAV Images for Object Detection

1 code implementation7 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.

Head Detection Image Cropping +2

Nonvolatile electric control of exciton complex in monolayer MoSe$_2$ with two dimensional ferroelectric CuInP$_2$S$_6$

no code implementations10 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

VIGOR: Cross-View Image Geo-localization beyond One-to-one Retrieval

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.

Image-Based Localization Image Retrieval

A3D: Adaptive 3D Networks for Video Action Recognition

no code implementations24 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.

Action Recognition Temporal Action Localization

Privacy and Robustness in Federated Learning: Attacks and Defenses

no code implementations7 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.

Federated Learning Privacy Preserving

Towards a category-extended object detector with limited data

no code implementations28 Dec 2020 Bowen Zhao, Chen Chen, Xi Xiao, Shutao Xia

Object detectors are typically learned on fully-annotated training data with fixed predefined categories.

Object

A Transferable Anti-Forensic Attack on Forensic CNNs Using A Generative Adversarial Network

no code implementations23 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.

Generative Adversarial Network

Bilateral attention decoder: A lightweight decoder for real-time semantic segmentation

no code implementations30 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.

Real-Time Semantic Segmentation Segmentation

Guided Interpolation for Adversarial Training

no code implementations15 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.

Adversarial Robustness

A Dataset and Benchmark for Malaria Life-Cycle Classification in Thin Blood Smear Images

no code implementations17 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.

General Classification

Addressing Action Oscillations through Learning Policy Inertia

no code implementations3 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.

Atari Games Autonomous Driving +1

Enhanced 3D Human Pose Estimation from Videos by using Attention-Based Neural Network with Dilated Convolutions

1 code implementation4 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.

2D Pose Estimation 3D Human Pose Estimation

TransBTS: Multimodal Brain Tumor Segmentation Using Transformer

2 code implementations7 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.

Brain Tumor Segmentation Image Classification +3

Insta-RS: Instance-wise Randomized Smoothing for Improved Robustness and Accuracy

no code implementations7 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.

Optimal Scheduling of Integrated Demand Response-Enabled Integrated Energy Systems with Uncertain Renewable Generations: A Stackelberg Game Approach

no code implementations8 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.

Scheduling

Consistency-based Active Learning for Object Detection

1 code implementation18 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.

Active Learning Classification +5

3D Human Pose Estimation with Spatial and Temporal Transformers

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.

Image Classification Monocular 3D Human Pose Estimation +3

Degrade is Upgrade: Learning Degradation for Low-light Image Enhancement

1 code implementation19 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.

Low-Light Image Enhancement

Stock price prediction using Generative Adversarial Networks

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.

Fraud Detection Generative Adversarial Network +5

Annotating Columns with Pre-trained Language Models

1 code implementation5 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.

Columns Property Annotation Column Type Annotation +3

Learning Normal Dynamics in Videos with Meta Prototype Network

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.

Anomaly Detection Meta-Learning +1

Balanced Knowledge Distillation for Long-tailed Learning

1 code implementation21 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.

Knowledge Distillation

MutualNet: Adaptive ConvNet via Mutual Learning from Different Model Configurations

1 code implementation14 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.

Action Recognition Image Classification +2

Killing One Bird with Two Stones: Model Extraction and Attribute Inference Attacks against BERT-based APIs

no code implementations23 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.

Attribute Inference Attack +4

Fairness-Aware Unsupervised Feature Selection

no code implementations4 Jun 2021 Xiaoying Xing, Hongfu Liu, Chen Chen, Jundong Li

Feature selection is a prevalent data preprocessing paradigm for various learning tasks.

Fairness feature selection

DIPS-Plus: The Enhanced Database of Interacting Protein Structures for Interface Prediction

1 code implementation6 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.

Drug Discovery Protein Interface Prediction

Energy Aligning for Biased Models

no code implementations7 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.

Class Incremental Learning Incremental Learning

Deep Learning-Aided OFDM-Based Generalized Optical Quadrature Spatial Modulation

no code implementations24 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.

Cooperative Training and Latent Space Data Augmentation for Robust Medical Image Segmentation

2 code implementations2 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.

Data Augmentation Image Reconstruction +4

Joint Motion Correction and Super Resolution for Cardiac Segmentation via Latent Optimisation

no code implementations8 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.

Anatomy Cardiac Segmentation +2

A Novel Attribute Reconstruction Attack in Federated Learning

no code implementations16 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.

Attribute Federated Learning +1

CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation

no code implementations24 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.

Computational Efficiency Meta-Learning +1

Uncertainty-Aware Training for Cardiac Resynchronisation Therapy Response Prediction

no code implementations22 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.

Learning Pseudometric-based Action Representations for Offline Reinforcement Learning

no code implementations29 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.

Offline RL Recommendation Systems +4

Geometric Transformers for Protein Interface Contact Prediction

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.

Drug Discovery Translation

DeepGOMIMO: Deep Learning-Aided Generalized Optical MIMO with CSI-Free Blind Detection

no code implementations8 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.

Interactive Feature Fusion for End-to-End Noise-Robust Speech Recognition

2 code implementations11 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

Label-Occurrence-Balanced Mixup for Long-tailed Recognition

no code implementations11 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.

Data Augmentation

EdgeML: Towards Network-Accelerated Federated Learning over Wireless Edge

no code implementations14 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.

Edge-computing Federated Learning +1

Sim-to-Real Transfer in Multi-agent Reinforcement Networking for Federated Edge Computing

no code implementations18 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.

Edge-computing Federated Learning +3

CycleFlow: Purify Information Factors by Cycle Loss

no code implementations18 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.

Voice Conversion

Self-learned Intelligence for Integrated Decision and Control of Automated Vehicles at Signalized Intersections

no code implementations24 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.

Autonomous Driving Decision Making

Nonnegative Tensor Completion via Integer Optimization

1 code implementation8 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.

Matrix Completion

Lifelong Reinforcement Learning with Temporal Logic Formulas and Reward Machines

no code implementations18 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.

reinforcement-learning Reinforcement Learning (RL) +1

Boost Distribution System Restoration with Emergency Communication Vehicles Considering Cyber-Physical Interdependence

no code implementations19 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.

A Lightweight Graph Transformer Network for Human Mesh Reconstruction from 2D Human Pose

1 code implementation24 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.

3D Human Pose Estimation 3D Human Shape Estimation +2

Causality-inspired Single-source Domain Generalization for Medical Image Segmentation

1 code implementation24 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.

Data Augmentation Domain Generalization +4

Combating Unknown Bias with Effective Bias-Conflicting Scoring and Gradient Alignment

1 code implementation25 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.

Fairness

Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning

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.

Federated Learning Privacy Preserving

A Deep-Learning Intelligent System Incorporating Data Augmentation for Short-Term Voltage Stability Assessment of Power Systems

no code implementations5 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.

Data Augmentation valid

Embedding Gradient-based Optimization in Image Registration Networks

1 code implementation7 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.

Image Reconstruction Image Registration

Hierarchical Stochastic Scheduling of Multi-Community Integrated Energy Systems in Uncertain Environments via Stackelberg Game

no code implementations14 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.

energy management Generative Adversarial Network +2

Creativity of AI: Hierarchical Planning Model Learning for Facilitating Deep Reinforcement Learning

no code implementations18 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.

Montezuma's Revenge reinforcement-learning +1

DENSE: Data-Free One-Shot Federated Learning

1 code implementation23 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.

Federated Learning

Visual Semantics Allow for Textual Reasoning Better in Scene Text Recognition

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)

Language Modelling Scene Text Recognition

SASA: Semantics-Augmented Set Abstraction for Point-based 3D Object Detection

1 code implementation6 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.

3D Object Detection object-detection

TransBTSV2: Towards Better and More Efficient Volumetric Segmentation of Medical Images

1 code implementation30 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.

Brain Tumor Segmentation Image Segmentation +3

RoPGen: Towards Robust Code Authorship Attribution via Automatic Coding Style Transformation

1 code implementation12 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.

Authorship Attribution Bug fixing +1

Singularity: Planet-Scale, Preemptive and Elastic Scheduling of AI Workloads

no code implementations16 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).

Scheduling

Dual-Path Style Learning for End-to-End Noise-Robust Speech Recognition

1 code implementation28 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

SPAct: Self-supervised Privacy Preservation for Action Recognition

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.

Action Classification Action Recognition +2

Interactive Audio-text Representation for Automated Audio Captioning with Contrastive Learning

no code implementations29 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.

Audio captioning Contrastive Learning

Noise-robust Speech Recognition with 10 Minutes Unparalleled In-domain Data

no code implementations29 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.

Generative Adversarial Network Robust Speech Recognition +1

Category Guided Attention Network for Brain Tumor Segmentation in MRI

1 code implementation29 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.

Brain Tumor Segmentation Segmentation +1

Speech Emotion Recognition with Co-Attention based Multi-level Acoustic Information

1 code implementation29 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.

Speech Emotion Recognition

GALA: Toward Geometry-and-Lighting-Aware Object Search for Compositing

no code implementations31 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.

Object

Resilient Distribution System Restoration with Communication Recovery by Drone Small Cells

no code implementations31 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.

Primal-dual Estimator Learning: an Offline Constrained Moving Horizon Estimation Method with Feasibility and Near-optimality Guarantees

no code implementations6 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.

POSTER: A Pyramid Cross-Fusion Transformer Network for Facial Expression Recognition

1 code implementation8 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)

Multimodal Transformer for Nursing Activity Recognition

1 code implementation9 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.

Activity Recognition

Attention guided global enhancement and local refinement network for semantic segmentation

1 code implementation9 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.

Semantic Segmentation

Self-critical Sequence Training for Automatic Speech Recognition

no code implementations13 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

Fairness in Graph Mining: A Survey

2 code implementations21 Apr 2022 Yushun Dong, Jing Ma, Song Wang, Chen Chen, Jundong Li

Recently, algorithmic fairness has been extensively studied in graph-based applications.

Fairness Graph Mining

FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs

1 code implementation5 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.

Few-Shot Learning Graph Classification

Rethinking Reinforcement Learning based Logic Synthesis

no code implementations16 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.

reinforcement-learning Reinforcement Learning (RL)

IDEAL: Query-Efficient Data-Free Learning from Black-box Models

1 code implementation23 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.

Knowledge Distillation

FeatER: An Efficient Network for Human Reconstruction via Feature Map-Based TransformER

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.

2D Human Pose Estimation 3D Human Pose Estimation

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