Associate Professor School of Computer Science and Engineering Beihang University Beijing 100191, China Email: jiaxinchen@buaa.edu.cn [Resume] [Google Scholar] [GitHub][Chinese Page]

Brief Introduction

Dr. Jiaxin Chen received his Ph.D. degree in Computer Applications Technology from Beihang University in 2017. From 2017 to 2018, he was a Postdoctoral Fellow at New York University Abu Dhabi (NYUAD). From 2018 to 2021, he was a research scientist at Inception Institute of Artificial Intelligence (IIAI). His current research interests include computer vision (especially video and image analysis and 3D computer vision) and machine learning (especially metric learning and learning to hash). He has authored/co-authored over 10 papers in top conferences/journals such as IEEE Transactions on Image Processing (TIP), CVPR, ICCV and ECCV.

Research Interests

• Efficient Training and Inference on Large Fundamental Models: Parameter-Efficient Fine-Tuning (PEFT) [project]; Deep Model Compression (Pruning, Quantization, Distilling) [project]

• Visual Perception for Unmanned Systems (e.g. Drones or Autonomous Cars): Object detection/tracking [project]

• Imagery/Video Analysis: Object Re-Identificatioin/Search/Retrieval [project]；Compressed Video Analysis [project]

• Machine Learning: Self-supervised learning；Learning to hash；Metric learning

• 3D Computer Vision: 3D object representation/recognition/retrieval

News

• (2023/09）One paper with title “Compressed Video Prompt Tuning” is accepted by NeurIPS 2023. Congratulations to Bing Li！

• (2023/08）One paper with title “SAMP: Sub-task Aware Model Pruning with Layer-wise Channel Balancing for Person Search” is accepted by PRCV 2023. Congratulations to Zimeng Wu！

• (2023/07）One paper with title “MIEP: Channel Pruning with Multi-granular Importance Estimation for Object Detection” is accepted by ACM MM 2023. Congratulations to Liangwei Jiang！

• (2023/07）One paper with title “DR-Tune: Improving Fine-tuning of Pretrained Visual Models by Distribution Regularization with Semantic Calibration” is accepted by ICCV 2023. Congratulations to Nan Zhou！

• (2023/02）Two papers are accepted by CVPR 2023！

• (2022/07）Our paper with title “Video Person Re-identification Using Attribute-enhanced Features” is accepted by IEEE TCSVT！

Publications

Conferences

2023

• Compressed Video Prompt Tuning
  B. Li, J. Chen, X. Bao, and D. Huang
  Conference on Neural Information Processing Systems (NeurIPS), 2023. [PDF]

• SAMP: Sub-task Aware Model Pruning with Layer-wise Channel Balancing for Person Search
  Z. Wu, J. Chen*(*：Corresponding Author), and Y. Wang
  Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2023. [PDF]

• MIEP: Channel Pruning with Multi-granular Importance Estimation for Object Detection
  L. Jiang, J. Chen*(*：Corresponding Author), D. Huang, and Y. Wang
  ACM Multimedia Conference (MM), 2023. [PDF]

• DR-Tune: Improving Fine-tuning of Pretrained Visual Models by Distribution Regularization with Semantic Calibration
  N. Zhou, J. Chen, and D. Huang
  IEEE International Conference on Computer Vision (ICCV), 2023. [PDF]

• Adaptive Sparse Convolutional Networks with Global Context Enhancement for Faster Object Detection on Drone Images
  B. Du, Y. Huang, J. Chen, and D. Huang
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [PDF]

• OcTr: Octree-based Transformer for 3D Object Detection
  C. Zhou, Y. Zhang, J. Chen, and D. Huang
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023. [PDF]

2022

• Representation Learning for Compressed Video Action Recognition via Attentive Cross-modal Interaction with Motion Enhancement
  B. Li, J. Chen*(*：Corresponding Author), D. Zhang, X. Bao and D. Huang
  International Joint Conference on Artificial Intelligence (IJCAI), 2022. [PDF]

• CAT-Det: Contrastively Augmented Transformer for Multi-modal 3D Object Detection
  Y. Zhang, J. Chen and D. Huang
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. [PDF]

• Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection
  J. Wu, J. Chen*(*：Corresponding Author), M. He, Y. Wang, B. Li, B. Ma, W. Gan, W. Wu, Y. Wang and D. Huang
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. [PDF]

• Entropy-based Active Learning for Object Detection with Progressive Diversity Constraint
  J. Wu, J. Chen and D. Huang
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. [PDF]

• UFPMP-Det: Toward Accurate and Efficient Object Detection on Drone Imagery
  Y. Huang, J. Chen and D. Huang
  AAAI Conference on Artificial Intelligencen (AAAI), 2022. [PDF]

2021

• PR-GCN: A Deep Graph Convolutional Network with Point Refinement for 6D Pose Estimation
  G. Zhou, H. Wang, J. Chen and D. Huang
  IEEE International Conference on Computer Vision (ICCV), 2021. [PDF]

2020

• Auto-Encoding Twin-Bottleneck Hashing
  Y. Shen#, J. Qin#, J. Chen# (#: Equal Contribution), M. Yu, L. Liu, F. Zhu, F. Shen and L. Shao
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. [PDF]

• Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification
  Y. Yan, J. Qin, J. Chen, L. Liu, F. Zhu, Y. Tai and L. Shao
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. [PDF]

• Deep Local Binary Coding for Person Re- Identification by Delving into the Details
  J. Chen, J. Qin, Y. Yan, L. Huang, L. Liu, F. Zhu and L. Shao
  ACM Multimedia (MM), 2020. [PDF]

• Learning Attentive and Hierarchical Representations for 3D Shape Recognition
  J. Chen, J. Qin, Y. Shen, L. Liu, F. Zhu and L. Shao
  European Conference on Computer Vision (ECCV), 2020. [PDF]

• Web-Supervised Network for Fine- Grained Visual Classification
  C.Zhang, Y.Yao, J.Zhang, J.Chen, P.Huang, J.Zhang and Z.Tango
  IEEE International Conference on Multimedia and Expo (ICME), 2020. [PDF]

2019

• Deep Sketch-Shape Hashing with Segmented 3D Stochastic Viewing
  J. Chen, J. Qin, L. Liu, F. Zhu, F. Shen, J. Xie and L. Shao
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019. [PDF]

2018

• Deep Cross-modality Adaptation via Semantics Preserving Adversarial Learning for Sketch-based 3D Shape Retrieval
  J.Chen and Y. Fang
  European Conference on Computer Vision (ECCV), 2018. [PDF]

2017

• Fast Person Re-identification via Cross-Camera Semantic Binary Transformation
  J. Chen, Y. Wang, J. Qin, L. Liu and L. Shao
  IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [PDF]

Journals

2022

• Video Person Re-identification Using Attribute-enhanced Features
  T. Chai, Z. Chen, A. Li, J. Chen, X. Mei, Y. Wang
  IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022, doi:10.1109/TCSVT.2022.3189027. [PDF]

• SHREC’22 Track: Sketch-Based 3D Shape Retrieval in the Wild
  J. Qin, S. Yuan, J. Chen, et al.
  Computers & Graphics (CAG), vol. 107, pp: 104-115, 2022. [PDF]

2020

• Learning Multi-Attention Context Graph for Group-Based Re-Identification
  Y. Yan, J. Qin, B. Ni, J. Chen, L. Liu, F. Zhu, W. Zheng, X. Yang and L. Shao.
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020, doi: 10.1109/TPAMI.2020.3032542. [PDF]

• Zero-VAE-GAN: Generating Unseen Features for Generalized and Transductive Zero-Shot Learning
  R. Gao, X. Hou, J. Qin, J. Chen, L. Liu, F. Zhu, Z. Zhang and L. Shao.
  IEEE Transactions on Image Processing (TIP), vol. 29, pp: 3665-3680, 2020. [PDF]

2018

• GII Representation-Based Cross-View Gait Recognition by Discriminative Projection With List-Wise Constraints
  Z. Zhang, J. Chen* (*: Corresponding Author), Q. Wu and L. Shao.
  IEEE Transactions on Cybernetics (TCYB), vol. 48, no. 10, pp: 2935-2947, 2018. [PDF]

2015

• Relevance Metric Learning for Person Re-Identification by Exploiting Listwise Similarities
  J. Chen, Z. Zhang and Y. Wang.
  IEEE Transactions on Image Processing (TIP), vol. 24, no. 12, pp: 4741-4755, 2015. [PDF]

Teams

Ph.D Students

• Bing Li (Co-advise with Prof. Di Huang) | Research topic: Compressed Video Analysis

Master Students

Enrolled in 2022

• Haocheng Huang | Research topic: Quantization for Deep Diffussion Models
• Hanwen Zhong | Research topic: Parameter-Efficient Fine-Tuning
• Zhuguanyu Wu (Co-advise with Prof. Yunhong Wang) | Research topic: Quantization for Fundamental ViT-based Models

Enrolled in 2023

• Wenhao Li | Research topic: UAV-based Intelligent Perception
• Yutong Zhang | Research topic: Efficient Representatioin Learning and Fine-tuning for Fine-grained Recognition/Retrieval

Alumni

• Liangwei Jiang (Co-advise with Prof. Yunhong Wang) | Ant Technology Group
• Bowei Du (Co-advise with Prof. Di Huang) | Alibaba Group
• Zimeng Wu (Undergraduate) | Ph.D Candidate in BUAA.
• Jiaxi Wu (Co-advise with Prof. Di Huang) | Horizon Robotics.
• Yecheng Huang (Co-advise with Prof. Di Huang)
• Guangyuan Zhou (Co-advise with Prof. Di Huang)

Positions for Master/PhD's Programme

• We are looking for students, who are self-motivated, and have solid foundation in mathematics and programming. Please feel free to contact us at jiaxinchen@buaa.edu.cn.

Professional Activities

• TPC Member of the 27th European Conference on Artificial Intelligence (ECAI), Santiago de Compostela, Spain, 2024.
• TPC Member of the 17th Asian Conference on Computer Vision (ACCV), Hanoi, Vietnam, 2024.
• TPC Member of the 42nd IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, 2024.
• TPC Member of the 18th European Conference on Computer Vision (ECCV), MiCo Milano, Italy, 2024.
• TPC Member of the 27th International Conference on Pattern Recognition (ICPR), Kolkata, India, 2024.

Projects

• Efficient Visual Object Search Based on Unmanned Aerial Vehicles. Supported by NSFBJ (2024-2026), PI.
• Research on Efficient UAV Based Autonomous Object Recognition in Complex Environment. Supported by ASFC (2023-2025), PI.
• Fine-grained Visual Perception. Supported by Research Program of State Key Laboratory of Virtual Reality Technology and Systems (2023-2024), PI.
• Efficient Compact Representation Learning for Accurate Visual Search in Open Environments. Supported by NSFC (2023-2025), PI.

Courses

2024

• Introduction to Artificial Intelligence, Undergraduate course, Spring
• Mini Course on Scientific Research (Intelligent Visual Object Search Based on Deep Learning), Undergraduate course, Spring
• Writing and Presenting for Computer Science, Graduate course, Spring

2023

• Introduction to Artificial Intelligence, Undergraduate course, Spring
• Mini Course on Scientific Research, Undergraduate course, Spring and Fall
• Introduction to Machine Learning, Undergraduate course, Fall
• Writing and Presenting for Computer Science, Graduate course, Spring and Fall
• Machine Learning, Graduate course, Fall

2022

• Introduction to Machine Learning, Undergraduate course
• Mini Course on Scientific Research, Undergraduate course, Spring and Fall
• Machine Learning, Graduate course, Fall

2021

• Mini Course on Scientific Research, Undergraduate course, Fall
• Machine Learning, Graduate course, Fall

“积土成山，风雨兴焉；积水成渊，蛟龙生焉；积善成德，而神明自得，圣心备焉。故不积跬步，无以至千里；不积小流，无以成江海。骐骥一跃，不能十步；驽马十驾，功在不舍。锲而舍之，朽木不折；锲而不舍，金石可镂。”—荀子《劝学》