Jiaxin Chen

According to our database, Jiaxin Chen authored at least 53 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Correction: CMAE-3D: Contrastive Masked AutoEncoders for Self-Supervised 3D Object Detection.

Yanan Zhang, Jiaxin Chen, Di Huang

Int. J. Comput. Vis., June, 2025

CMAE-3D: Contrastive Masked AutoEncoders for Self-Supervised 3D Object Detection.

Yanan Zhang, Jiaxin Chen, Di Huang

Int. J. Comput. Vis., May, 2025

Breaking the SSL-AL Barrier: A Synergistic Semi-Supervised Active Learning Framework for 3D Object Detection.

Zengran Wang, Yanan Zhang, Jiaxin Chen, Di Huang

CoRR, January, 2025

Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learning.

Hanwen Zhong, Jiaxin Chen, Yutong Zhang, Di Huang, Yunhong Wang

CoRR, January, 2025

Sharing Task-Relevant Information in Visual Prompt Tuning by Cross-Layer Dynamic Connection.

Nan Zhou, Jiaxin Chen, Di Huang

IEEE Trans. Image Process., 2025

Cross-Modal Contrastive Masked AutoEncoder for Compressed Video Pre-Training.

Bing Li, Jiaxin Chen, Guohao Li, Dongming Zhang, Xiuguo Bao, Di Huang

IEEE Trans. Image Process., 2025

APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision Transformers.

Zhuguanyu Wu, Jiayi Zhang, Jiaxin Chen, Jinyang Guo, Di Huang, Yunhong Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

FIMA-Q: Post-Training Quantization for Vision Transformers by Fisher Information Matrix Approximation.

Zhuguanyu Wu, Shihe Wang, Jiayi Zhang, Jiaxin Chen, Yunhong Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Unified Knowledge Maintenance Pruning and Progressive Recovery with Weight Recalling for Large Vision-Language Models.

Zimeng Wu, Jiaxin Chen, Yunhong Wang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

3D²-Actor: Learning Pose-Conditioned 3D-Aware Denoiser for Realistic Gaussian Avatar Modeling.

Zichen Tang, Hongyu Yang, Hanchen Zhang, Jiaxin Chen, Di Huang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

TCAQ-DM: Timestep-Channel Adaptive Quantization for Diffusion Models.

Haocheng Huang, Jiaxin Chen, Jinyang Guo, Ruiyi Zhan, Yunhong Wang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

OTAMatch: Optimal Transport Assignment With PseudoNCE for Semi-Supervised Learning.

Jinjin Zhang, Junjie Liu, Debang Li, Qiuyu Huang, Jiaxin Chen, Di Huang

IEEE Trans. Image Process., 2024

3D²-Actor: Learning Pose-Conditioned 3D-Aware Denoiser for Realistic Gaussian Avatar Modeling.

Zichen Tang, Hongyu Yang, Hanchen Zhang, Jiaxin Chen, Di Huang

CoRR, 2024

Centerness-based Instance-aware Knowledge Distillation with Task-wise Mutual Lifting for Object Detection on Drone Imagery.

Bowei Du, Zhixuan Liao, Yanan Zhang, Zhi Cai, Jiaxin Chen, Di Huang

CoRR, 2024

iVPT: Improving Task-relevant Information Sharing in Visual Prompt Tuning by Cross-layer Dynamic Connection.

Nan Zhou, Jiaxin Chen, Di Huang

CoRR, 2024

Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learner.

Hanwen Zhong, Jiaxin Chen, Yutong Zhang, Di Huang, Yunhong Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

AdaLog: Post-training Quantization for Vision Transformers with Adaptive Logarithm Quantizer.

Zhuguanyu Wu, Jiaxin Chen, Hanwen Zhong, Di Huang, Yunhong Wang

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Learning Multi-Attention Context Graph for Group-Based Re-Identification.

Yichao Yan, Jie Qin, Bingbing Ni, Jiaxin Chen, Li Liu, Fan Zhu, Wei-Shi Zheng, Xiaokang Yang, Ling Shao

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

SAMP: Sub-task Aware Model Pruning with Layer-Wise Channel Balancing for Person Search.

Zimeng Wu, Jiaxin Chen, Yunhong Wang

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Compressed Video Prompt Tuning.

Bing Li, Jiaxin Chen, Xiuguo Bao, Di Huang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MIEP: Channel Pruning with Multi-granular Importance Estimation for Object Detection.

Liangwei Jiang, Jiaxin Chen, Di Huang, Yunhong Wang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

DR-Tune: Improving Fine-tuning of Pretrained Visual Models by Distribution Regularization with Semantic Calibration.

Nan Zhou, Jiaxin Chen, Di Huang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

OcTr: Octree-Based Transformer for 3D Object Detection.

Chao Zhou, Yanan Zhang, Jiaxin Chen, Di Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Adaptive Sparse Convolutional Networks with Global Context Enhancement for Faster Object Detection on Drone Images.

Bowei Du, Yecheng Huang, Jiaxin Chen, Di Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Video Person Re-Identification Using Attribute-Enhanced Features.

Tianrui Chai, Zhiyuan Chen, Annan Li, Jiaxin Chen, Xinyu Mei, Yunhong Wang

IEEE Trans. Circuits Syst. Video Technol., 2022

CAT-Det: Contrastively Augmented Transformer for Multi-modal 3D Object Detection.

Yanan Zhang, Jiaxin Chen, Di Huang

CoRR, 2022

Representation Learning for Compressed Video Action Recognition via Attentive Cross-modal Interaction with Motion Enhancement.

Bing Li, Jiaxin Chen, Dongming Zhang, Xiuguo Bao, Di Huang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

CAT-Det: Contrastively Augmented Transformer for Multimodal 3D Object Detection.

Yanan Zhang, Jiaxin Chen, Di Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection.

Jiaxi Wu, Jiaxin Chen, Mengzhe He, Yiru Wang, Bo Li, Bingqi Ma, Weihao Gan, Wei Wu, Yali Wang, Di Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Entropy-based Active Learning for Object Detection with Progressive Diversity Constraint.

Jiaxi Wu, Jiaxin Chen, Di Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Reading Chinese in Natural Scenes with a Bag-of-Radicals Prior.

Yongbin Liu, Qingjie Liu, Jiaxin Chen, Yunhong Wang

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

UFPMP-Det: Toward Accurate and Efficient Object Detection on Drone Imagery.

Yecheng Huang, Jiaxin Chen, Di Huang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

PR-GCN: A Deep Graph Convolutional Network with Point Refinement for 6D Pose Estimation.

Guangyuan Zhou, Huiqun Wang, Jiaxin Chen, Di Huang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Zero-VAE-GAN: Generating Unseen Features for Generalized and Transductive Zero-Shot Learning.

Rui Gao, Xingsong Hou, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu, Zhao Zhang, Ling Shao

IEEE Trans. Image Process., 2020

Deep Local Binary Coding for Person Re-Identification by Delving into the Details.

Jiaxin Chen, Jie Qin, Yichao Yan, Lei Huang, Li Liu, Fan Zhu, Ling Shao

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Learning Attentive and Hierarchical Representations for 3D Shape Recognition.

Jiaxin Chen, Jie Qin, Yuming Shen, Li Liu, Fan Zhu, Ling Shao

Proceedings of the Computer Vision - ECCV 2020, 2020

Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification.

Yichao Yan, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu, Ying Tai, Ling Shao

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Auto-Encoding Twin-Bottleneck Hashing.

Yuming Shen, Jie Qin, Jiaxin Chen, Mengyang Yu, Li Liu, Fan Zhu, Fumin Shen, Ling Shao

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Embarrassingly Simple Binary Representation Learning.

Yuming Shen, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu

CoRR, 2019

Embarrassingly Simple Binary Representation Learning.

Yuming Shen, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu, Ziyi Shen

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Deep Sketch-Shape Hashing With Segmented 3D Stochastic Viewing.

Jiaxin Chen, Jie Qin, Li Liu, Fan Zhu, Fumin Shen, Jin Xie, Ling Shao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

GII Representation-Based Cross-View Gait Recognition by Discriminative Projection With List-Wise Constraints.

Zhaoxiang Zhang, Jiaxin Chen, Qiang Wu, Ling Shao

IEEE Trans. Cybern., 2018

2017

Zero-Shot Action Recognition with Error-Correcting Output Codes.

Jie Qin, Li Liu, Ling Shao, Fumin Shen, Bingbing Ni, Jiaxin Chen, Yunhong Wang

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Fast Person Re-identification via Cross-Camera Semantic Binary Transformation.

Jiaxin Chen, Yunhong Wang, Jie Qin, Li Liu, Ling Shao

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Person Re-identification by Integrating Static Texture and Shape Cues.

Canaan Tinotenda Madongo, Di Huang, Jiaxin Chen

Proceedings of the Biometric Recognition - 12th Chinese Conference, 2017

2016

Corrections to "Relevance Metric Learning for Person Re-Identification by Exploiting Listwise Similarities".

Jiaxin Chen, Zhaoxiang Zhang, Yunhong Wang

IEEE Trans. Image Process., 2016

Beyond Semantic Attributes: Discrete Latent Attributes Learning for Zero-Shot Recognition.

Jie Qin, Yunhong Wang, Li Liu, Jiaxin Chen, Ling Shao

IEEE Signal Process. Lett., 2016

Person Re-identification by Exploiting Spatio-Temporal Cues and Multi-view Metric Learning.

Jiaxin Chen, Yunhong Wang, Yuan Yan Tang

IEEE Signal Process. Lett., 2016

A fast adaptive spatio-temporal 3D feature for video-based person re-identification.

Zheng Liu, Jiaxin Chen, Yunhong Wang

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Person re-identification by distance metric learning to discrete hashing.

Jiaxin Chen, Yunhong Wang, Rui Wu

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015

Relevance Metric Learning for Person Re-Identification by Exploiting Listwise Similarities.

Jiaxin Chen, Zhaoxiang Zhang, Yunhong Wang

IEEE Trans. Image Process., 2015

BUAA-iCC at ImageCLEF 2015 Scalable Concept Image Annotation Challenge.

Yunhong Wang, Jiaxin Chen, Ningning Liu, Li Zhang

Proceedings of the Working Notes of CLEF 2015, 2015

2014

Relevance Metric Learning for Person Re-identification by Exploiting Global Similarities.

Jiaxin Chen, Zhaoxiang Zhang, Yunhong Wang

Proceedings of the 22nd International Conference on Pattern Recognition, 2014