Publications

Research publications in computer vision, machine learning, and artificial intelligence

Timeline

All Publications (44)

Towards Universal 3D Human Pose Estimation

Ce Zheng, Qitao Zhao, Matias Mendieta, Chen Chen

arXiv preprint arXiv:2023.xxxxx

Advanced Neural Networks for Computer Vision Applications

Chen Chen, Collaborators TBD

Conference TBD, 2025

Next Generation Vision Transformers

Research Team, Chen Chen

Major Conference, 2024

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

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

Source-free Domain Adaptive Human Pose Estimation

Qucheng Peng, Ce Zheng, Chen Chen

IEEE/CVF International Conference on Computer Vision (ICCV), 2023

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

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

R²Former: Unified Retrieval and Reranking 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

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

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

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

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

🏆 Best Paper Nominee (33 out of 8,161)

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

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

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

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

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

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

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

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

Finalist for the MICCAI 2023 Young Scientist Publication Impact Award

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%)

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%

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%)

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

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

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

An Efficient 3D CNN for Action/Object Segmentation in Video

Rui Hou, Chen Chen, Mubarak Shah, Rahul Sukthankar

British Machine Vision Conference (BMVC), 2019

Real-world Anomaly Detection in Surveillance Videos

Waqas Sultani, Chen Chen, Mubarak Shah

IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018

Gabor Convolutional Networks

Shangzhen Luan, Chen Chen, Baochang Zhang, Jungong Han, Jianzhuang Liu

IEEE Transactions on Image Processing, 2018

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

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

Rui Hou, Chen Chen, Mubarak Shah

International Conference on Computer Vision (ICCV), 2017

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

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

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

Real-Time Human Action Recognition Based on Depth Motion Maps

Chen Chen, Kui Liu, Nasser Kehtarnavaz

Journal of Real-Time Image Processing, 2016

A Real-Time Human Action Recognition System Using Depth and Inertial Sensor Fusion

Chen Chen, Roozbeh Jafari, Nasser Kehtarnavaz

IEEE Sensors Journal, 2016

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

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

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

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

A benchmark algorithm for compressed sensing image reconstruction

Spectral-Spatial Classification of Hyperspectral Image based on Kernel Extreme Learning Machine

Chen Chen, Wei Li, Hongjun Su, Kui Liu

Remote Sensing, 2014

Fusion of Inertial and Depth Sensor Data for Robust Hand Gesture Recognition

Kui Liu, Chen Chen, Roozbeh Jafari, Nasser Kehtarnavaz

IEEE Sensors Journal, 2014

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

A benchmark algorithm for compressed sensing image reconstruction