Publications

LucidDreaming: Controllable Object-Centric 3D Generation
Zhaoning Wang, Ming Li, Chen Chen
arXiv:2305.18670
[Paper] [Project Website]

SAVE: Spectral-Shift-Aware Adaptation of Image Diffusion Models for Text-guided Video Editing
Nazmul Karim, Umar Khalid, Mohsen Joneidi, Chen Chen, Nazanin Rahnavard
arXiv:2305.18670
[Paper] [Project Website] [Code]

Towards Surveillance Video-and-Language Understanding: New Dataset, Baselines, and Challenges
Tongtong Yuan, Xuange Zhang, Kun Liu, Bo Liu , Chen Chen, Jian Jin, Zhenzhen Jiao
arXiv:2303.13397
[Paper] [Project Website]

DiffMesh: A Motion Aware Diffusion-like Framework for Human Mesh Recovery from Videos
Ce Zheng, Xianpeng Liu, Mengyuan Liu, Tianfu Wu, Guo-Jun Qi, Chen Chen
arXiv:2303.13397
[Paper] [Project Website]

OST: Refining Text Knowledge with Optimal Spatio-Temporal Descriptor for General Video Recognition
Tongjia Chen, Hongshan Yu, Zhengeng Yang, Zechuan Li, Wei Sun, Chen Chen
arXiv:2303.13397
[Paper] [Project Website]

GeoDTR+: Toward Generic Cross-view Geolocalization via Geometric Disentanglement
Xiaohan Zhang, Xingyu Li, Waqas Sultani, Chen Chen, Safwan Wshah
2308.09624
[Paper]

BiomedGPT: A Unified and Generalist Biomedical Generative Pre-trained Transformer for Vision, Language, and Multimodal Tasks
Kai Zhang, Jun Yu, Zhiling Yan, Yixin Liu, Eashan Adhikarla, Sunyang Fu, Xun Chen, Chen Chen, Yuyin Zhou,
Xiang Li, Lifang He, Brian D. Davison, Quanzheng Li, Yong Chen, Hongfang Liu, Lichao Sun
arXiv:2305.17100
[Paper]

Med-Tuning: Exploring Parameter-Efficient Transfer Learning for Medical Volumetric Segmentation
Wenxuan Wang, Jiachen Shen, Chen Chen, Jianbo Jiao, Yan Zhang, Shanshan Song, Jiangyun Li
arXiv:2304.10880
[Paper]

Problem Behaviors Recognition in Videos using Language-Assisted Deep Learning Model for Children with Autism
Andong Deng, Taojiannan Yang, Chen Chen, Qian Chen, Leslie Neely, Sakiko Oyama
arXiv:2211.09310
[Paper]

Conquering the Communication Constraints to Enable Large Pre-Trained Models in Federated Learning
Guangyu Sun, Matias Mendieta, Taojiannan Yang, Chen Chen
arXiv:2210.01708
[Paper]

TransBTSV2: Towards Better and More Efficient Volumetric Segmentation of Medical Images
Jiangyun Li, Wenxuan Wang, Chen Chen, Tianxiang Zhang, Sen Zha, Jing Wang, Hong Yu
arXiv:2201.12785
[Paper] [Code]

FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image Segmentation
Wenxuan Wang, Jing Wang, Chen Chen, Jianbo Jiao, Yuanxiu Cai, Shanshan Song, Jiangyun Li
Winter Conference on Applications of Computer Vision (WACV), 2024
[Paper]

Med-DANet V2: A Flexible Dynamic Architecture for Efficient Medical Volumetric Segmentation
Haoran Shen, Yifu Zhang, Wenxuan Wang, Chen Chen, Jing Liu, Shanshan Song, Jiangyun Li
Winter Conference on Applications of Computer Vision (WACV), 2024
[Paper]

Single 2D Pose with Context is Worth Hundreds of Frames for 3D Human Pose Estimation
Qitao Zhao, Ce Zheng, Mengyuan Liu, Chen Chen
Thirty-Seventh Annual Conference on Neural Information Processing Systems (NeurIPS), 2023
[Paper] [Code] [Project Website]

Learning Snippet-to-Motion Progression for Skeleton-based Human Motion Prediction
Xinshun Wang, Qiongjie Cui, Chen Chen, Shen Zhao, Mengyuan Liu
ACM Multimedia Asia, 2023
[Paper] [Code]

Graph-Guided MLP-Mixer for Skeleton-Based Human Motion Prediction
Xinshun Wang, Qiongjie Cui, Chen Chen, Shen Zhao, Mengyuan Liu
ACM Multimedia Asia, 2023
[Paper] [Code]

Unsupervised Anomaly Detection in Medical Images Using Masked Diffusion Model
Hasan Iqbal, Umar Khalid, Chen Chen, Jing Hua
The 14th International Workshop on Machine Learning in Medical Imaging (MLMI)
in conjunction with International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023
[Paper] [Code] [Project Website]

Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks
Saeed Vahidian, Mahdi Morafah, Chen Chen, Mubarak Shah, Bill Lin
IEEE Transactions on Artificial Intelligence (TAI), 2023
[Paper] [Code]

Regress Before Construct: Regress Autoencoder for Point Cloud Self-supervised Learning
Yang Liu, Chen Chen, Can Wang, Xulin King, Mengyuan Liu
ACM Multimedia (ACM-MM), 2023
[Paper] [Code]

Robin: A Novel Method to Produce Robust Interpreters for Deep Learning-Based Code Classifiers
Zhen Li, Ruqian Zhang, Deqing Zou, Ning Wang, Yating Li, Shouhuai Xu, Chen Chen, Hai Jin
38th IEEE/ACM International Conference on Automated Software Engineering (ASE), 2023 (21% acceptance rate)
[Paper] [Code]

POSTER: A Pyramid Cross-Fusion Transformer Network for Facial Expression Recognition
Ce Zheng, Matias Mendieta, Chen Chen
11th International Workshop on Analysis and Modeling of Faces and Gestures
in conjunction with IEEE/CVF International Conference on Computer Vision (ICCV), 2023
[Paper] [Code]

AlignDet: Aligning Pre-training and Fine-tuning in Object Detection
Ming Li, Jie Wu, Xionghui Wang, Chen Chen, Jie Qin, Xuefeng Xiao, Rui Wang, Min Zheng, Xin Pan
IEEE/CVF International Conference on Computer Vision (ICCV), 2023
[Paper] [Project Website] [Code]

Source-free Domain Adaptive Human Pose Estimation
Qucheng Peng, Ce Zheng, Chen Chen
IEEE/CVF International Conference on Computer Vision (ICCV), 2023
[Paper] [Code]

RenderIH: A Large-scale Synthetic Dataset for 3D Interacting Hand Pose Estimation
Lijun Li, Linrui Tian, Xindi Zhang, Qi Wang, Bang Zhang, Liefeng Bo, Mengyuan Liu, Chen Chen
IEEE/CVF International Conference on Computer Vision (ICCV), 2023
[Paper] [Code and Dataset] [Project Website]

Multi-view Self-supervised Disentanglement for General Image Denoising
Hao Chen, Chenyuan Qu, Chen Chen, Yu Zhang, Jianbo Jiao
IEEE/CVF International Conference on Computer Vision (ICCV), 2023
[Paper] [Project Website]

A Large-scale Study of Spatiotemporal Representation Learning with a New Benchmark on Action Recognition
Andong Deng, Taojiannan Yang, Chen Chen
IEEE/CVF International Conference on Computer Vision (ICCV), 2023
[Paper] [Project Website]

Towards Geospatial Foundation Models via Continual Pretraining
Matias Mendieta, Boran Han, Xingjian Shi, Yi Zhu, Chen Chen, Mu Li
IEEE/CVF International Conference on Computer Vision (ICCV), 2023
[Paper] [Code]

FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning
Guangyu Sun, Matias Mendieta, Jun Luo, Shandong Wu, Chen Chen
IEEE/CVF International Conference on Computer Vision (ICCV), 2023
[Paper] [Code]

When Do Curricula Work in Federated Learning?
Saeed Vahidian, Sreevatsank Kadaveru, Woonjoon Baek, Weijia Wang, Vyacheslav Kungurtsev, Chen Chen, Mubarak Shah, Bill Lin
IEEE/CVF International Conference on Computer Vision (ICCV), 2023
[Paper] [Code]

PGFed: Personalize Each Client’s Global Objective for Federated Learning
Jun Luo, Matias Mendieta, Chen Chen, Shandong Wu
IEEE/CVF International Conference on Computer Vision (ICCV), 2023
[Paper] [Code]

LAMP: Leveraging Language Prompts for Multi-person Pose Estimation
Shengnan Hu, Ce Zheng, Zixiang Zhou, Chen Chen, Gita Sukthankar
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023
[Paper] [Code]

CEFHRI: A Communication Efficient Federated Learning Framework for Recognizing Industrial Human-Robot Interaction
Umar Khalid, Hasan Iqbal, Saeed Vahidian, Jing Hua, Chen Chen
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023
[Paper] [Code]

GaitSADA: Self-Aligned Domain Adaptation for mmWave Gait Recognition
Ekkasit Pinyoanuntapong, Ayman Ali, Kalvik Jakkala, Pu Wang, Minwoo Lee, Qucheng Peng, Chen Chen, Zhi Sun
IEEE 20th International Conference on Mobile Ad Hoc and Smart Systems (MASS), 2023
[Paper] [Project Website (Dataset and Code)]

First Place Solution to the CVPR’2023 AQTC Challenge: A Function-Interaction Centric Approach with Spatiotemporal Visual-Language Alignment
Tom Tongjia Chen, Hongshan Yu, Zhengeng Yang, Ming Li, Zechuan Li, Jingwen Wang, Wei Miao, Wei Sun, Chen Chen
Winner of the Affordance-Centric Question-driven Task Completion Challenge at the CVPR 2023 Long-form Video Understanding and Generation Workshop, 2023
[Certificate] [Technical Report] [Code]

Deep Learning-Based Human Pose Estimation: A Survey
Ce Zheng, Wenhan Wu, Chen Chen, Taojiannan Yang, Sijie Zhu, Ju Shen, Nasser Kehtarnavaz, Mubarak Shah
ACM Computing Surveys, 2023
[Paper] [Project Page]

DHA-FL: Enabling Efficient and Effective AIoT via Decentralized Hierarchical Asynchronous Federated Learning
Wesley Houston Huff, pinyarash pinyoanuntapong, Ravikumar Balakrishnan, Hao Feng, Minwoo Lee, Pu Wang, Chen Chen
MLSys 2023 Workshop on Resource-Constrained Learning in Wireless Networks, 2023
[Paper]

Tutorial: Lessons Learned for Behavior Analysts from Data Scientists
Leslie Neely, Sakiko Oyama, Guenevere Chen, Amina Qutub, and Chen Chen
Perspectives on Behavior Science, 2023
[Paper]

Part Aware Contrastive Learning for Self-Supervised Action Recognition
Yilei Hua, Wenhan Wu, Ce Zheng, Aidong Lu, Mengyuan Liu, Chen Chen, Shiqian Wu
32nd International Joint Conference on Artificial Intelligence (IJCAI), 2023 (15% acceptance rate)
[Paper] [Code]

RAIN: Regularization on Input and Network for Black-Box Domain Adaptation
Qucheng Peng, Zhengming Ding, Lingjuan Lyu, Lichao Sun, Chen Chen
32nd International Joint Conference on Artificial Intelligence (IJCAI), 2023 (15% acceptance rate)
[Paper] [Code]

\(R^2\)Former: Unified \(R\)etrieval and \(R\)eranking Transformer for Place Recognition
Sijie Zhu, Linjie Yang, Chen Chen, Mubarak Shah, Xiaohui Shen, Heng Wang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
[Paper] [Code]

TopNet: Transformer-based Object Placement Network for Image Compositing
Sijie Zhu, Zhe Lin, Scott Cohen, Jason Kuen, Zhifei Zhang, Chen Chen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
[Paper]

TimeBalance: Temporally-Invariant and Temporally-Distinctive Video Representations for Semi-Supervised Action Recognition
Ishan Rajendrakumar Dave, Mamshad Nayeem Rizve, Chen Chen, Mubarak Shah
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
[Paper] [Code]

FeatER: An Efficient Network for Human Reconstruction via Feature Map-Based TransformER
Ce Zheng, Matias Mendieta, Taojiannan Yang, Guo-Jun Qi, Chen Chen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
[Paper] [Project Website] [Code]

POTTER: Pooling Attention Transformer for Efficient Human Mesh Recovery
Ce Zheng, Xianpeng Liu, Guo-Jun Qi, Chen Chen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
[Paper] [Project Website] [Code]

PoseFormerV2: Exploring Frequency Domain for Efficient and Robust 3D Human Pose Estimation
Qitao Zhao, Ce Zheng, Mengyuan Liu, Pichao Wang, Chen Chen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023
[Paper] [Project Website] [Code]

GaitMixer: Skeleton-based Gait Representation Learning via Wide-spectrum Multi-axial Mixer
Ekkasit Pinyoanuntapong, Ayman Ali, Pu Wang, Minwoo Lee, Chen Chen
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023
[Paper] [Code]

AIM: Adapting Image Models for Efficient Video Action Recognition
Taojiannan Yang, Yi Zhu, Yusheng Xie, Aston Zhang, Chen Chen, Mu Li
International Conference on Learning Representations (ICLR), 2023
[Paper] [Project Website]

Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles Between Client Data Subspaces
Saeed Vahidian, Mahdi Morafah, Weijia Wang, Vyacheslav Kungurtsev, Chen Chen, Mubarak Shah, Bill Lin
AAAI Conference on Artificial Intelligence (AAAI), 2023 (Acceptance Rate = 19.6%)
[Paper] [Code]

Refined Semantic Enhancement Towards Frequency Diffusion for Video Captioning
Xian Zhong, Zipeng Li, Shuqin Chen, Kui Jiang, Chen Chen, Mang Ye
AAAI Conference on Artificial Intelligence (AAAI), 2023
[Paper] [Code]

Novel Motion Patterns Matter for Practical Skeleton-based Action Recognition
Mengyuan Liu, Fanyang Meng, Chen Chen, Songtao Wu
AAAI Conference on Artificial Intelligence (AAAI), 2023
[Paper] [Dataset]

Revisiting Training-free NAS Metrics: An Efficient Training-based Method
Taojiannan Yang, Linjie Yang, Xiaojie Jin, Chen Chen
Winter Conference on Applications of Computer Vision (WACV), 2023
[Paper] [Code]

EdgeML: Towards Network-Accelerated Federated Learning over Wireless Edge
Pinyarash Pinyoanuntapong, Prabhu Janakaraj, Ravikumar Balakrishnan, Minwoo Lee, Chen Chen, Pu Wang
Computer Networks, 2022
[Paper]

GALA: Toward Geometry-and-Lighting-Aware Object Search for Compositing
Sijie Zhu, Zhe Lin, Scott Cohen, Jason Kuen, Zhifei Zhang, Chen Chen
European Conference on Computer Vision (ECCV), 2022
[Paper] [Supplementary Material] [Video Demo]

GAMa: Cross-view Video Geo-localization
Shruti Vyas, Chen Chen, Mubarak Shah
European Conference on Computer Vision (ECCV), 2022
[Paper] [Dataset and Code]

Med-DANet: Dynamic Architecture Network for Efficient Medical Volumetric Segmentation
Wenxuan Wang, Chen Chen, Jing Wang, Sen Zha, Yan Zhang, Jiangyun Li
European Conference on Computer Vision (ECCV), 2022
[Paper] [Code]

A Lightweight Graph Transformer Network for Human Mesh Reconstruction from 2D Human Pose
Ce Zheng, Matias Mendieta, Pu Wang, Aidong Lu, Chen Chen
ACM Multimedia (ACM MM), 2022
[Paper] [Code]

Magic ELF: Image Deraining Meets Association Learning and Transformer
Kui Jiang, Zhongyuan Wang, Chen Chen, Zheng Wang, Laizhong Cui, Chia-Wen Lin
ACM Multimedia (ACM MM), 2022
[Paper] [Supplementary Material] [Code]

Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning
Matias Mendieta, Taojiannan Yang, Pu Wang, Minwoo Lee, Zhengming Ding, Chen Chen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022 (Oral)
[Paper] [Code] [Best Paper Nominee (33 out of 8,161), Image]

TransGeo: Transformer Is All You Need for Cross-view Image Geo-localization
Sijie Zhu, Mubarak Shah, Chen Chen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
[Paper] [Code]

SPAct: Self-supervised Privacy Preservation for Action Recognition
Ishan Rajendrakumar Dave, Chen Chen, Mubarak Shah
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
[Paper] [Code]

Consistency-based Active Learning for Object Detection
Weiping Yu, Sijie Zhu, Taojiannan Yang, Chen Chen
Workshop on Learning with Limited Labelled Data for Image and Video Understanding (L3DIVU)
in conjunction with IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
[Paper] [Code]

Multi-modal Transformer for Nurse Activity Recognition
Momal Ijaz, Renato Diaz, Chen Chen
The Fifth International Workshop on Computer Vision for Physiological Measurement (CVPM)
in conjunction with IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022
[Paper] [Code]

Attention Guided Global Enhancement and Local Refinement Network for Semantic Segmentation
Jiangyun Li, Sen Zha, Chen Chen, Meng Ding, Tianxiang Zhang, Hong Yu
IEEE Transactions on Image Processing (TIP), 2022
[Paper] [Code]

Towards Scalable and Robust AIoT via Decentralized Federated Learning
Pinyarash Pinyoanuntapong, Wesley Houston Huff, Minwoo Lee, Chen Chen, and Pu Wang
IEEE Internet of Things Magazine, 2022
[Paper]

Category Guided Attention Network for Brain Tumor Segmentation in MRI
Jiangyun Li, Hong Yu, Chen Chen, Meng Ding, Sen Zha
Physics in Medicine and Biology, 2022
[Paper] [Code]

Dense Traffic Detection at Highway-Railroad Grade Crossings
Feng Guo, Zhuocheng Jiang, Yi Wang, Chen Chen, Yu Qian
IEEE Transactions on Intelligent Transportation Systems (T-ITS), 2022
[Paper]

RoPGen: Towards Robust Code Authorship Attribution via Automatic Coding Style Transformation
Zhen Li, Qian Chen, Chen Chen, Yayi Zou, Shouhuai Xu
44th International Conference on Software Engineering (ICSE), 2022 (Acceptance Rate = 26%)
[Paper] [Code]

Degrade is Upgrade: Learning Degradation for Low-light Image Enhancement
Kui Jiang, Zhongyuan Wang, Zheng Wang, Chen Chen, Peng Yi, Tao Lu, Chia-Wen Lin
AAAI Conference on Artificial Intelligence (AAAI), 2022 (Acceptance Rate = 15% (1349/9020))
[Paper] [Code]

MutualNet: Adaptive ConvNet via Mutual Learning from Different Model Configurations
Taojiannan Yang, Sijie Zhu, Matias Mendieta, Pu Wang, Ravikumar Balakrishnan, Minwoo Lee, Tao Han, Mubarak Shah, Chen Chen
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2022
[Paper] [Code] (ECCV-2020 Extension)

Sim-to-Real Transfer in Multi-agent Reinforcement Networking for Federated Edge Computing
Pinyarash Pinyoanuntapong, Tagore Pothuneedi, Ravikumar Balakrishnan, Minwoo Lee, Chen Chen, Pu Wang
ACM/IEEE 6th Symposium on Edge Computing (SEC), 2021
[Paper]

Multi-Scale Hybrid Fusion Network for Single Image Deraining
Kui Jiang, Zhongyuan Wang, Peng Yi, Chen Chen, Guangcheng Wang, Zhen Han, Junjun Jiang, Zixiang Xiong
IEEE Transactions on Neural Networks and Learning Systems, 2021
[Paper] [Code]

A Dataset and Benchmark for Malaria Life-Cycle Classification in Thin Blood Smear Images
Qazi Ammar Arshad, Mohsen Ali, Saeed-ul Hassan, Chen Chen, Ayisha Imran, Ghulam Rasul, Waqas Sultani
Neural Computing and Applications, 2021
[Paper] [Dataset]

3D Human Pose Estimation with Spatial and Temporal Transformers
Ce Zheng, Sijie Zhu, Matias Mendieta, Taojiannan Yang, Chen Chen, Zhengming Ding
IEEE/CVF International Conference on Computer Vision (ICCV), 2021
[Paper] [Code] [ Video Demonstration]

Visual Explanation for Deep Metric Learning
Sijie Zhu, Taojiannan Yang, Chen Chen
IEEE Transactions on Image Processing, 2021
[Paper] [Code]

Semi-supervised Domain Adaptive Retrieval via Discriminative Hashing Learning
Haifeng Xia, Taotao Jing, Chen Chen, Zhengming Ding
ACM Multimedia (ACM MM), 2021 (Oral)
[Paper]

A3D: Adaptive 3D Networks for Video Action Recognition
Sijie Zhu, Taojiannan Yang, Matias Mendieta, Chen Chen
arXiv:2011.12384
[Paper]

Rain-free and Residue Hand-in-Hand: A Progressive Coupled Network for Real-Time Image Deraining
Kui Jiang, Zhongyuan Wang, Peng Yi, Chen Chen, Zheng Wang, Xiao Wang, Junjun Jiang, Chia-Wen Lin
IEEE Transactions on Image Processing, 2021
[Paper] [Code]

TransBTS: Multimodal Brain Tumor Segmentation Using Transformer
Wenxuan Wang, Chen Chen, Meng Ding, Jiangyun Li, Hong Yu, Sen Zha
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2021
[Paper] [Code]

VIGOR: Cross-View Image Geo-localization beyond One-to-one Retrieval
Sijie Zhu, Taojiannan Yang, Chen Chen
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
[Paper] [Dataset and Code]

Learning Normal Dynamics in Videos with Meta Prototype Network
Hui Lv, Chen Chen, Zhen Cui, Chunyan Xu, Yong Li, Jian Yang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
[Paper] [Code]

BDANet: Multiscale Convolutional Neural Network with Cross-directional Attention for Building Damage Assessment from Satellite Images
Yu Shen, Sijie Zhu, Taojiannan Yang, Chen Chen, Delu Pan, Jianyu Chen, Liang Xiao, Qian Du
IEEE Transactions on Geoscience and Remote Sensing, 2021
[Paper] [Code]

ArcNet: Series AC Arc Fault Detection Based on Raw Current and Convolutional Neural Network
Yao Wang, Linming Hou, Kamal Chandra Paul, Yunsheng Ban, Chen Chen, Tiefu Zhao
IEEE Transactions on Industrial Informatics, 2021
[Paper]

Enhanced 3D Human Pose Estimation from Videos by Using Attention-Based
Neural Network with Dilated Convolutions
Ruixu Liu, Ju Shen, He Wang, Chen Chen, Sen-ching Cheung, Vijayan Asari
International Journal of Computer Vision (IJCV), 2021 (CVPR-2020 Extension)
[Paper] [Code]

Efficient Unsupervised Monocular Depth Estimation Using Attention Guided Generative Adversarial Network
Sumanta Bhattacharyya, Ju Shen, Stephen Welch, Chen Chen
Journal of Real-Time Image Processing, 2021
[Paper]

Bilateral Attention Decoder: A Lightweight Decoder for Real-time Semantic Segmentation
Chengli Peng, Jiayi Ma, Chen Chen, Xiaojie Guo
Neural Networks, 2021
[Paper]

Multi-level Memory Compensation Network for Rain Removal via Divide-and-Conquer Strategy
Kui Jiang, Zhongyuan Wang, Peng Yi, Chen Chen, Xiaofen Wang, Junjun Jiang, Zixiang Xiong
IEEE Journal of Selected Topics in Signal Processing, 2021
[Paper]

Revisiting Street-to-Aerial View Image Geo-localization and Orientation Estimation
Sijie Zhu, Taojiannan Yang, Chen Chen
Winter Conference on Applications of Computer Vision (WACV), 2021
[Paper]

Towards Resolving the Challenge of Long-tail Distribution in UAV Images for Object Detection
Weiping Yu, Taojiannan Yang, Chen Chen
Winter Conference on Applications of Computer Vision (WACV), 2021
[Paper] [Code]

Decomposition Makes Better Rain Removal: An Improved Attention-guided Deraining Network
Kui Jiang, Zhongyuan Wang, Peng Yi, Chen Chen, Zhen Han, Tao Lu, Baojin Huang, Junjun Jiang
IEEE Transactions on Circuits and Systems for Video Technology, 2020
[Paper] [Code]

GradAug: A New Regularization Method for Deep Neural Networks
Taojiannan Yang, Sijie Zhu, Chen Chen
Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS), 2020 (Acceptance Rate = 20% (1900/9454))
[Paper] [Poster] [Code]

Cross-directional Feature Fusion Network for Building Damage Assessment from Satellite Imagery
Yu Shen, Sijie Zhu, Taojiannan Yang, Chen Chen
Artificial Intelligence for Humanitarian Assistance and Disaster Response Workshop (AI + HADR)
@ Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS), 2020
[Paper]

Detecting Plant Invasion in Urban Parks with Aerial Image Time Series and Residual Neural Network
Dipanwita Dutta, Gang Chen, Chen Chen, Sara A. Gagne, Changlin Li, Christa Rogers, Christopher Matthews
Remote Sensing, 2020
[Paper]

NDVI-Net: A Fusion Network for Generating High-Resolution Normalized Difference
Vegetation Index in Remote Sensing
Hao Zhang, Jiayi Ma, Chen Chen, Xin Tian
ISPRS Journal of Photogrammetry and Remote Sensing, 2020
[Paper]

Efficient Deep Learning of Non-local Features for Hyperspectral Image Classification
Yu Shen, Sijie Zhu, Chen Chen, Qian Du, Liang Xiao, Jianyu Chen, Delu Pan
IEEE Transactions on Geoscience and Remote Sensing, 2020
[Paper] [Code]

MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution
Taojiannan Yang, Sijie Zhu, Chen Chen, Yan Shen, Mi Zhang, Andrew Willis
European Conference on Computer Vision (ECCV), 2020 (Oral) (Acceptance Rate = 2% (104/5205))
[Paper] [Code] [Video Presentation]

VisDrone-DET2020: The Vision Meets Drone Object Detection in Image Challenge Results
Dawei Du, et al.
ECCV 2020 Workshop "Vision Meets Drone: A Challenge"
[Paper] (Our solution ranked 7th)

FedAir: Towards Multi-hop Federated Learning Over-the-Air
Pinyarash Pinyoanuntapong, Prabhu Janakaraj, Pu Wang, Minwoo Lee, Chen Chen
IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2020
[Paper]

Video Anomaly Detection for Smart Surveillance
Sijie Zhu, Chen Chen, Waqas Sultani
Book Chapter of Computer Vision: A Reference Guide
[Paper]

Action Recognition in Real-World Videos
Waqas Sultani, Qazi Ammar Arshad, Chen Chen
Book Chapter of Computer Vision: A Reference Guide
[Paper]

Pan-GAN: An Unsupervised Learning Method for Pan-sharpening Using a Generative Adversarial Network
Jiayi Ma, Wei Yu, Chen Chen, Pengwei Liang, Xiaojie Guo, Junjun Jiang
Information Fusion, 2020.
[Paper] [Code]

CP-NAS: Child-Parent Neural Architecture Search for 1-bit CNNs
Li'an Zhuo, Baochang Zhang, Hanlin Chen, Linlin Yang, Chen Chen, Yanjun Zhu, David Doermann
International Joint Conference on Artificial Intelligence (IJCAI), 2020 (Acceptance Rate = 12.6%)
[Paper]

Density Map Guided Object Detection in Aerial Image
Changlin Li, Taojiannan Yang, Sijie Zhu, Chen Chen, Shanyue Guan
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (EarthVision Workshop), 2020
[Paper] [Presentation] [Code]

Attention Mechanism Exploits Temporal Contexts: Real-time 3D Human Pose Reconstruction
Ruixu Liu, Ju Shen, He Wang, Chen Chen, Sen-ching Cheung, Vijayan Asari
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020 (Oral) (Acceptance Rate = 5.7%)
[Paper] [Presentation] [Video Demo] [Code]

Multi-Scale Progressive Fusion Network for Single Image Deraining
Kui Jiang, Zhongyuan Wang, Peng Yi, Chen Chen, Baojin Huang, Yimin Luo, Jiayi Ma, Junjun Jiang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
[Paper] [Code]

Automated Monitoring for Security Camera Networks: Promise from Computer Vision Labs
Chen Chen, Raymond Surette, Mubarak Shah
Security Journal, 2020.
[Paper]

Real-Time Dense Semantic Labeling with Dual-Path Framework for High-Resolution Remote Sensing Image
Yuhao Wang, Chen Chen, Meng Ding, Jiangyun Li
Remote Sensing, 2019.
[Paper]

Infrared and Visible Image Fusion via Detail Preserving Adversarial Learning
Jiayi Ma, Pengwei Liang, Wei Yu, Chen Chen, Xiaojie Guo, Jia Wu, Junjun Jiang
Information Fusion, 2019.
[Paper] [Code]

SmokeNet: Satellite Smoke Scene Detection Using Convolutional Neural Network with Spatial and Channel-Wise Attention
Rui Ba, Chen Chen, Jiang Yuan, Weiguo Song, Siuming Lo
Remote Sensing, 2019.
[Paper] [Project Website] [Download Dataset from OneDrive] [Download Dataset from Baidu Pan (download password: 5dlk)]

3D Dilated Multi-Fiber Network for Real-time Brain Tumor Segmentation in MRI
Chen Chen, Xiaopeng Liu, Meng Ding, Junfeng Zheng, Jiangyun Li
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019.
[Paper] [Code]

An Efficient 3D CNN for Action/Object Segmentation in Video
Rui Hou, Chen Chen, Mubarak Shah, Rahul Sukthankar
British Machine Vision Conference (BMVC), 2019.
[Paper] [Project Website]

Deep Manifold Structure Transfer for Action Recognition
Ce Li, Baochang Zhang, Chen Chen, Qixiang Ye, Jungong Han, Rongrong Ji
IEEE Transactions on Image Processing, 2019.
[Paper]

S3D: Scalable Pedestrian Detection via Score Scale Surface Discrimination
Xiao Wang, Chao Liang, Chen Chen, Jun Chen, Zheng Wang, Zhen Han, Chunxia Xiao
IEEE Transactions on Circuits and Systems for Video Technology, 2019.
[Paper]

GEOCAPSNET: Ground to Aerial View Image Geo-localization Using Capsule Network
Bin Sun, Chen Chen, Yingying Zhu, Jianmin Jiang
IEEE International Conference on Multimedia and Expo (ICME) 2019. (Oral)
[Paper]

Joint Dynamic Pose Image and Space Time Reversal for Human Action Recognition from Videos
Mengyuan Liu, Fanyang Meng, Chen Chen, Songtao Wu
33rd AAAI Conference on Artificial Intelligence (AAAI), 2019. (Oral)
[Paper] [Video]

Calibrated Stochastic Gradient Descent for Convolutional Neural Networks
Li'an Zhuo, Baochang Zhang, Chen Chen, David Doermann, Jianzhuang Liu, Qixiang Ye
33rd AAAI Conference on Artificial Intelligence (AAAI), 2019.
[Paper]

Semi-Supervised Discriminant Multi-Manifold Analysis for Action Recognition
Zengmin Xu, Ruimin Hu, Jun Chen, Chen Chen, Junjun Jiang, Jiaofen Li, Hongyang Li
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019
[Paper] [Code]

Hyperspectral Image Classification in the Presence of Noisy Labels
Junjun Jiang, Jiayi Ma, Zheng Wang, Chen Chen, and Xianming Liu
IEEE Transactions on Geoscience and Remote Sensing, 2018
[Paper] [Code]

JRTIP Special Issue Editorial: Special Issue on Advances in Real-Time Image Processing for Remote Sensing
Chen Chen, Wei Li, Lianru Gao, Hengchao Li, Javier Plaza
Journal of Real-Time Image Processing
[Paper]

An End-to-end 3D Convolutional Neural Network for Action Detection and Segmentation in Videos
Rui Hou, Chen Chen, Mubarak Shah
arXiv preprint
[Paper] [Code]

SLR: Semi-coupled Locality Constrained Representation for Very Low Resolution Face Recognition and Super Resolution
Tao Lu, Xitong Chen, Yanduo Zhang, Chen Chen, Zixiang Xiong
IEEE Access
[Paper] [Code]

Memory Attention Networks for Skeleton-based Action Recognition
Chunyu Xie, Ce Li, Baochang Zhang, Chen Chen, Jungong Han, Changqing Zou, Jianzhuang Liu
International Joint Conference on Artificial Intelligence (IJCAI), 2018
[Paper]

Real-world Anomaly Detection in Surveillance Videos
Waqas Sultani, Chen Chen, Mubarak Shah
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
[Paper] [Video Presentation] [Project Details] [Download the dataset]
(Note: The "Anomaly_Train.txt" file in the zip file is corrupted, please down it here: Anomaly_Train.txt)

Gabor Convolutional Networks
Shangzhen Luan, Chen Chen, Baochang Zhang, Jungong Han, Jianzhuang Liu
IEEE Transactions on Image Processing, 2018
[Paper] [Code]

One-two-one Networks for Compression Artifacts Reduction in Remote Sensing
Baochang Zhang, Jiaxin Gu, Chen Chen, Jungong Han, Xiangbo Su, Xianbin Cao, Jianzhuang Liu
ISPRS Journal of Photogrammetry and Remote Sensing, 2018
[Paper]

Multispectral Satellite Image Denoising via Adaptive Cuckoo Search-Based Wiener Filter
Shilpa Suresh, Shyam Lal, Chen Chen, Turgay Celik
IEEE Transactions on Geoscience and Remote Sensing, 2018
[Paper]

SuperPCA: A Superpixelwise Principal Component Analysis Approach for Unsupervised
Feature Extraction of Hyperspectral Imagery
Junjun Jiang, Jiayi Ma, Chen Chen, Zhongyuan Wang, Lizhe Wang
IEEE Transactions on Geoscience and Remote Sensing, 2018
[Paper] [Code]

Tube Convolutional Neural Network (T-CNN) for Action Detection in Videos
Rui Hou, Chen Chen, Mubarak Shah
International Conference on Computer Vision (ICCV), 2017
[Paper] [Project] [Code]

Cross-View Image Matching for Geo-localization in Urban Environments
Yicong Tian, Chen Chen, Mubarak Shah
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
[Paper] [Project Website (Cross-view dataset and code)]

Binary Coding for Partial Action Analysis with Limited Observation Ratios
Jie Qin, Li Liu, Ling Shao, Bingbing Ni, Chen Chen, Fumin Shen, Yunhong Wang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017
[Paper]

Manifold Constrained Low-Rank Decomposition
Chen Chen, Baochang Zhang, Alessio Del Bue, Vittorio Murino
International Conference on Computer Vision Workshop (ICCV) Workshop, 2017
[Paper]

Multi-Temporal Depth Motion Maps-Based Local Binary Patterns for 3-D Human Action Recognition
Chen Chen, Mengyuan Liu, Hong Liu, Baochang Zhang, Jungong Han, Nasser Kehtarnavaz
IEEE Access, 2017
[Paper]

Robust 3D Action Recognition through Sampling Local Appearances and Global Distributions
Mengyuan Liu, Hong Liu, Chen Chen
IEEE Transactions on Multimedia, 2017
[Paper]

Latent Constrained Correlation Filter
Baochang Zhang, Shangzhen Luan, Chen Chen, Jungong Han, Wei Wang, Alessandro Perina, Ling Shao
IEEE Transactions on Image Processing, 2017
[Paper] [Code]

Person Re-identification via Discrepancy Matrix and Matrix Metric
Zheng Wang, Ruimin Hu, Chen Chen, Yi Yu, Junjun Jiang, Chao Liang, Shin'ichi Satoh
IEEE Transactions on Cybernetics, 2017
[Paper]

Image Reconstruction via Manifold Constrained Convolutional Sparse Coding for Image Sets
Linlin Yang, Ce Li, Jungong Han, Chen Chen, Qixiang Ye, Baochang Zhang, Xianbin Cao, Wanquan Liu
IEEE Journal of Selected Topics in Signal Processing, 2017
[Paper]

Fusing Local and Global Features for High-Resolution Scene Classification
Xiaoyong Bian, Chen Chen, Long Tian, Qian Du
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017
[Paper]

Enhanced Skeleton Visualization for View Invariant Human Action Recognition
Mengyuan Liu, Hong Liu, Chen Chen
Pattern Recognition, 2017
[Paper] [Code]

Action Recognition Using 3D histograms of Texture and A Multi-class Boosting Classifier
Baochang Zhang, Yun Yang, Chen Chen, Linlin Yang, Jungong Han, Ling Shao
IEEE Transactions on Image Processing, 2017
[Paper]

3D Action Recognition Using Multi-scale Energy-based Global Ternary Image
Mengyuan Liu, Hong liu, Chen Chen
IEEE Transactions on Circuits and Systems for Video Technology, 2017
[Paper]

Spatial-Aware Collaborative Representation for Hyperspectral Remote Sensing Image Classification
Junjun Jiang, Chen Chen, Yi Yu, Xinwei Jiang, Jiayi Ma
IEEE Geoscience and Remote Sensing Letters, 2017
[Paper] [Code]

Single Image Super-Resolution via Locally Regularized Anchored Neighborhood Regression and Nonlocal Means
Junjun Jiang, Xiang Ma, Chen Chen, Tao Lu, Zhongyuan Wang, Jiayi Ma
IEEE Transactions on Multimedia, 2017
[Paper]

Noise Robust Face Image Super-resolution through Smooth Sparse Representation
Junjun Jiang, Jiayi Ma, Chen Chen, Xinwei Jiang, Zheng Wang
IEEE Transactions on Cybernetics, 2017
[Paper] [Code]

Output Constraint Transfer for Kernelized Correlation Filter in Tracking
Baochang Zhang, Zhigang Li, Xianbin Cao, Qixiang Ye, Chen Chen, Linlin Shen, Alessandro Perina, Rongrong Ji
IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017
[Paper] [Code]

SRLSP: A Face Image Super-Resolution Algorithm Using Smooth Regression with Local Structure Prior
Junjun Jiang, Chen Chen, Jiayi Ma, Zheng Wang, Zhongyuan Wang, Ruimin Hu
IEEE Transactions on Multimedia, 2017
[Paper] [Code]

Action Recognition from Depth Sequences Using Weighted Fusion of 2D and 3D Auto-Correlation of Gradients Features
Chen Chen, Baochang Zhang, Zhenjie Hou, Junjun Jiang, Mengyuan Liu, Yun Yang
Multimedia Tools and Applications, 2017
[Paper]

A Survey of Depth and Inertial Sensor Fusion for Human Action Recognition
Chen Chen, Roozbeh Jafari, Nasser Kehtarnavaz
Multimedia Tools and Applications, 2017
[Paper]

Real-time Continuous Action Detection and Recognition Using Depth Images and Inertial Signals
Neha Dawar, Chen Chen, Roozbeh Jafari, Nasser Kehtarnavaz
IEEE International Symposium on Industrial Electronics, Edinburgh, United Kingdom, 2017
[Paper] [Demo]

Weighted Fusion of Depth and Inertial Data to Improve View Invariance for Real-time Human Action Recognition
Chen Chen, Huiyan Hao, Roozbeh Jafari, Nasser Kehtarnavaz
SPIE Conference on Real-Time Image and Video Processing, Anaheim, California, 2017
[Paper] [UTD RGB-D Multi-view Action Dataset]

Remote Sensing Image Scene Classification Using Multi-scale Completed Local Binary Patterns and Fisher Vectors
Longhui Huang, Chen Chen, Wei Li, Qian Du
Remote Sensing, 2016
[Paper] [Code]

Scene Classification Using Local and Global Features with Collaborative Representation Fusion
Jinyi Zou, Wei Li, Chen Chen, Qian Du
Information Sciences, 2016
[Paper]

A Real-Time Human Action Recognition System Using Depth and Inertial Sensor Fusion
Chen Chen, Roozbeh Jafari, Nasser Kehtarnavaz
IEEE Sensors Journal, 2016
[Paper]

Land-Use Scene Classification Using Multi-Scale Completed Local Binary Patterns
Chen Chen, Baochang Zhang, Hongjun Su, Wei Li, Lu Wang
Signal, Image and Video Processing, 2016
[Paper]

Real-Time Human Action Recognition Based on Depth Motion Maps
Chen Chen, Kui Liu, Nasser Kehtarnavaz
Journal of Real-Time Image Processing, 2016
[Paper] [Code]

3D Action Recognition Using Multi-temporal Depth Motion Maps and Fisher Vector
Chen Chen, Mengyuan Liu, Baochang Zhang, Jungong Han, Junjun Jiang, Hong Liu
International Joint Conference on Artificial Intelligence (IJCAI), 2016
[Paper]

Energy-Based Global Ternary Image for Action Recognition Using Sole Depth Sequences
Mengyuan Liu, Hong Liu, Chen Chen, Maryam Najafian
IEEE nternational Conference on 3D Vision (3DV), 2016
[Paper]

A Computationally Efficient Denoising and Hole-filling Method for Depth Image Enhancement
Suolan Liu, Chen Chen, Nasser Kehtarnavaz
SPIE Conference on Real-Time Image and Video Processing, Brussels, Belgium, 2016
[Paper]

Fusion of Depth, Skeleton, and Inertial Data for Human Action Recognition
Chen Chen, Roozbeh Jafari, Nasser Kehtarnavaz
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016
[Paper]

Hyperspectral Image Classification Using Set-to-Set Distance
Junjun Jiang, Chen Chen, Xin Song, Zhihua Cai
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016
[Paper] [Code]

L1-L1 Norms for Face Super-Resolution with Mixed Gaussian-Impulse Noise
Junjun Jiang, Zhongyuan Wang, Chen Chen, Tao Lu
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016
[Paper]

Local Binary Patterns and Extreme Learning Machine for Hyperspectral Imagery Classification
Wei Li, Chen Chen, Hongjun Su, Qian Du,
IEEE Transactions on Geoscience and Remote Sensing, 2015
[Paper] [Code]

Improving Human Action Recognition Using Fusion of Depth Camera and Inertial Sensors
Chen Chen, Roozbeh Jafari, Nasser Kehtarnavaz
IEEE Transactions on Human-Machine Systems, 2015
[Paper]

Gradient Local Auto-Correlations and Extreme Learning Machine for Depth-Based Activity Recognition
Chen Chen, Zhenjie Hou, Baochang Zhang, Junjun Jiang, Yun Yang
International Symposium on Visual Computing (ISVC), 2015
[Paper]

UTD-MHAD: A Multimodal Dataset for Human Action Recognition Utilizing a Depth Camera
and a Wearable Inertial Sensor
Chen Chen, Roozbeh Jafari, Nasser Kehtarnavaz
IEEE International Conference on Image Processing (ICIP), 2015
[Paper] [UTD Multimodal Human Action Dataset Website]

Gabor-Filtering-Based Completed Local Binary Patterns for Land-Use Scene Classification
Chen Chen, Libing Zhou, Jianzhong Guo, Wei Li, Hongjun Su, Fangda Guo
IEEE International Conference on Multimedia Big Data, 2015
[Paper]

Action Recognition from Depth Sequences Using Depth Motion Maps-based Local Binary Patterns
Chen Chen, Roozbeh Jafari, Nasser Kehtarnavaz
IEEE Winter Conference on Applications of Computer Vision (WACV), 2015
[Paper] [Code]

Fusion of Inertial and Depth Sensor Data for Robust Hand Gesture Recognition
Kui Liu, Chen Chen, Roozbeh Jafari, Nasser Kehtarnavaz
IEEE Sensors Journal, 2014
[Paper]

Spectral-Spatial Classification of Hyperspectral Image based on Kernel Extreme Learning Machine
Chen Chen, Wei Li, Hongjun Su, Kui Liu
Remote Sensing, 2014
[Paper]

Spectral-Spatial Preprocessing Using Multihypothesis Prediction for Noise-Robust
Hyperspectral Image Classification
Chen Chen, Wei Li, Eric W. Tramel, Minshan Cui, Saurabh Prasad, James E. Fowler
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014
[Paper]

Reconstruction of Hyperspectral Imagery from Random Projections Using Multihypothesis Prediction
Chen Chen, Wei Li, Eric W. Tramel, James E. Fowler
IEEE Transactions on Geoscience and Remote Sensing, 2014
[Paper] [Project] [Code]

Multi-HMM Classification for Hand Gesture Recognition Using Two Differing Modality Sensors
Kui Liu, Chen Chen, Roozbeh Jafari, Nasser Kehtarnavaz
IEEE Dallas Circuits and Systems Conference, 2014
[Paper]

Home-based Senior Fitness Test Measurement System Using Collaborative Inertial and Depth Sensors
Chen Chen, Kui Liu, Roozbeh Jafari, Nasser Kehtarnavaz
IEEE Engineering in Medicine and Biology Society (EMBC), 2014
[Paper] [Demo]

A Medication Adherence Monitoring System for Pill Bottles Based on a Wearable Inertial Sensor
Chen Chen, Roozbeh Jafari, Nasser Kehtarnavaz
IEEE Engineering in Medicine and Biology Society (EMBC), 2014
[Paper]

Compressed-Sensing Recovery of Images and Video Using Multihypothesis Predictions
Chen Chen, Eric W. Tramel, and James E. Fowler
IEEE Asilomar Conference on Signals, Systems, and Computers, 2014
[Paper] [Project] [Code] [A benchmark algorithm for compressed sensing image reconstruction]