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

Efficiency

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] [Code]

Exploring Parameter-Efficient Fine-Tuning to Enable Foundation Models in Federated Learning
Guangyu Sun, Umar Khalid, Matias Mendieta, Pu Wang, Chen Chen
IEEE International Conference on Big Data (BigData), 2024
[Paper] [Code]

3DEgo: 3D Editing on the Go!
Umar Khalid, Hasan Iqbal, Azib Farooq, Jing Hua, Chen Chen
European Conference on Computer Vision (ECCV), 2024
[Paper] [Project Website] [Video Presentation]

Free-Editor: Zero-shot Text-driven 3D Scene Editing
Md Nazmul Karim, Hasan Iqbal, Umar Khalid, Chen Chen, Jing Hua
European Conference on Computer Vision (ECCV), 2024
[Paper] [Project Website] [Video Presentation] [Code]

Sparse Points to Dense Clouds: Enhancing 3D Detection with Limited LiDAR Data
Aakash Kumar, Chen Chen, Ajmal Mian, Neils Lobo, Mubarak Shah
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024
[Paper] [Project Website]

VITA: ViT Acceleration for Efficient 3D Human Mesh Recovery via Hardware-Algorithm Co-Design
Shilin Tian, Chase Szafranski, Ce Zheng, Fan Yao, Ahmed Louri, Chen Chen, Hao Zheng
Design Automation Conference (DAC), 2024
[Paper] [Project Website] [Code]

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
Medical Imaging with Deep Learning (MIDL), 2024
[Paper] [Project Website] [Code]

Learning Semantic Proxies from Visual Prompts for Parameter-Efficient Fine-Tuning in Deep Metric Learning
Li Ren, Chen Chen, Liqiang Wang, Kien A. Hua
International Conference on Learning Representations (ICLR), 2024
[Paper] [Code]

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

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]

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]

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]

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]

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]

Revisiting Training-free NAS Metrics: An Efficient Training-based Method
Taojiannan Yang, Linjie Yang, Xiaojie Jin, Chen Chen
IEEE/CVF 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]

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]

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)

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]

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]

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