Publications

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(Selected) Publication by Research Topic

GenAI: Text-to-Motion | Image and Video Generation and Editing | 3D Generation and Editing
Video Understanding: Grounding and Reasoning | Human Pose/Mesh Analysis | Human Action Recognition | Anomaly Detection
Other Computer Vision Tasks: Object Detection | Image Segmentation
Medical Image Computing & Healthcare Applications: Medical Image Segmentation | Medical Foundation Models and Datasets | Healthcare Applications
Image and Video Processing: Image Restoration (Denoising, SR, etc.)
Geospatial Analysis and Remote Sensing: Image Geolocalization | Remote Sensing
Machine Learning: Federated Learning | Unsupervised, Self- and Semi-supervised Learning | Multimodal Learning | Efficiency

Go to Publications by Year

Machine Learning Schemes and Optimization

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
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024
[Paper] [Project Website] [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]

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]

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]

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]

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]

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]

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]

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]

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)

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

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]

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]