Chen, Jiaxin

31 publications

AAAI 2025 3d²-Actor: Learning Pose-Conditioned 3D-Aware Denoiser for Realistic Gaussian Avatar Modeling Zichen Tang, Hongyu Yang, Hanchen Zhang, Jiaxin Chen, Di Huang

CVPR 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

CVPR 2025 FIMA-Q: Post-Training Quantization for Vision Transformers by Fisher Information Matrix Approximation Zhuguanyu Wu, Shihe Wang, Jiayi Zhang, Jiaxin Chen, Yunhong Wang

AAAI 2025 TCAQ-DM: Timestep-Channel Adaptive Quantization for Diffusion Models Haocheng Huang, Jiaxin Chen, Jinyang Guo, Ruiyi Zhan, Yunhong Wang

AAAI 2025 Unified Knowledge Maintenance Pruning and Progressive Recovery with Weight Recalling for Large Vision-Language Models Zimeng Wu, Jiaxin Chen, Yunhong Wang

ECCV 2024 AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm Quantizer Zhuguanyu Wu, Jiaxin Chen, Hanwen Zhong, Di Huang, Yunhong Wang

NeurIPS 2024 Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learner Hanwen Zhong, Jiaxin Chen, Yutong Zhang, Di Huang, Yunhong Wang

CVPR 2024 Using Human Feedback to Fine-Tune Diffusion Models Without Any Reward Model Kai Yang, Jian Tao, Jiafei Lyu, Chunjiang Ge, Jiaxin Chen, Weihan Shen, Xiaolong Zhu, Xiu Li

CVPR 2023 Adaptive Sparse Convolutional Networks with Global Context Enhancement for Faster Object Detection on Drone Images Bowei Du, Yecheng Huang, Jiaxin Chen, Di Huang

NeurIPS 2023 Compressed Video Prompt Tuning Bing Li, Jiaxin Chen, Xiuguo Bao, Di Huang

ICCV 2023 DR-Tune: Improving Fine-Tuning of Pretrained Visual Models by Distribution Regularization with Semantic Calibration Nan Zhou, Jiaxin Chen, Di Huang

NeurIPS 2023 Neural MMO 2.0: A Massively Multi-Task Addition to Massively Multi-Agent Learning Joseph Suarez, David Bloomin, Kyoung Whan Choe, Hao Xiang Li, Ryan Sullivan, Nishaanth Kanna, Daniel Scott, Rose Shuman, Herbie Bradley, Louis Castricato, Phillip Isola, Chenghui Yu, Yuhao Jiang, Qimai Li, Jiaxin Chen, Xiaolong Zhu

CVPR 2023 OcTr: Octree-Based Transformer for 3D Object Detection Chao Zhou, Yanan Zhang, Jiaxin Chen, Di Huang

ICLR 2023 Recon: Reducing Conflicting Gradients from the Root for Multi-Task Learning Guangyuan Shi, Qimai Li, Wenlong Zhang, Jiaxin Chen, Xiao-Ming Wu

CVPR 2022 CAT-Det: Contrastively Augmented Transformer for Multi-Modal 3D Object Detection Yanan Zhang, Jiaxin Chen, Di Huang

NeurIPSW 2022 Emergent Collective Intelligence from Massive-Agent Cooperation and Competition Hanmo Chen, Stone Tao, Jiaxin Chen, Weihan Shen, Xihui Li, Sikai Cheng, Xiaolong Zhu, Xiu Li

CVPR 2022 Entropy-Based Active Learning for Object Detection with Progressive Diversity Constraint Jiaxi Wu, Jiaxin Chen, Di Huang

IJCAI 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

CVPR 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

AAAI 2022 UFPMP-Det: Toward Accurate and Efficient Object Detection on Drone Imagery Yecheng Huang, Jiaxin Chen, Di Huang

ICMLW 2021 Adaptation-Agnostic Meta-Training Jiaxin Chen, Li-Ming Zhan, Xiao-Ming Wu, Fu-lai Chung

AAAI 2021 Attention-Based Multi-Level Fusion Network for Light Field Depth Estimation Jiaxin Chen, Shuo Zhang, Youfang Lin

NeurIPS 2021 Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima Guangyuan Shi, Jiaxin Chen, Wenlong Zhang, Li-Ming Zhan, Xiao-Ming Wu

ICCV 2021 PR-GCN: A Deep Graph Convolutional Network with Point Refinement for 6d Pose Estimation Guangyuan Zhou, Huiqun Wang, Jiaxin Chen, Di Huang

NeurIPS 2020 A Closer Look at the Training Strategy for Modern Meta-Learning Jiaxin Chen, Xiao-Ming Wu, Yanke Li, Qimai Li, Li-Ming Zhan, Fu-lai Chung

ECCV 2020 Learning Attentive and Hierarchical Representations for 3D Shape Recognition Jiaxin Chen, Jie Qin, Yuming Shen, Li Liu, Fan Zhu, Ling Shao

AAAI 2020 Variational Metric Scaling for Metric-Based Meta-Learning Jiaxin Chen, Li-Ming Zhan, Xiao-Ming Wu, Fu-Lai Chung

ICCVW 2019 Embarrassingly Simple Binary Representation Learning Yuming Shen, Jie Qin, Jiaxin Chen, Li Liu, Fan Zhu, Ziyi Shen

ECCV 2018 Deep Cross-Modality Adaptation via Semantics Preserving Adversarial Learning for Sketch-Based 3D Shape Retrieval Jiaxin Chen, Yi Fang

CVPR 2017 Fast Person Re-Identification via Cross-Camera Semantic Binary Transformation Jiaxin Chen, Yunhong Wang, Jie Qin, Li Liu, Ling Shao

CVPR 2017 Zero-Shot Action Recognition with Error-Correcting Output Codes Jie Qin, Li Liu, Ling Shao, Fumin Shen, Bingbing Ni, Jiaxin Chen, Yunhong Wang