Ding, Changxing

27 publications

AAAI 2025 Beyond Human Data: Aligning Multimodal Large Language Models by Iterative Self-Evolution Wentao Tan, Qiong Cao, Yibing Zhan, Chao Xue, Changxing Ding

ICCV 2025 Bilateral Collaboration with Large Vision-Language Models for Open Vocabulary Human-Object Interaction Detection Yupeng Hu, Changxing Ding, Chang Sun, Shaoli Huang, Xiangmin Xu

ICCV 2025 Democratizing High-Fidelity Co-Speech Gesture Video Generation Xu Yang, Shaoli Huang, Shenbo Xie, Xuelin Chen, Yifei Liu, Changxing Ding

CVPR 2025 Effortless Active Labeling for Long-Term Test-Time Adaptation Guowei Wang, Changxing Ding

CVPR 2025 Guiding Human-Object Interactions with Rich Geometry and Relations Mengqing Xue, Yifei Liu, Ling Guo, Shaoli Huang, Changxing Ding

ICCV 2025 Harnessing Text-to-Image Diffusion Models for Point Cloud Self-Supervised Learning Yiyang Chen, Shanshan Zhao, Lunhao Duan, Changxing Ding, Dacheng Tao

NeurIPS 2025 Layer as Puzzle Pieces: Compressing Large Language Models Through Layer Concatenation Fei Wang, Li Shen, Liang Ding, Chao Xue, Ye Liu, Changxing Ding

CVPR 2025 Modeling Thousands of Human Annotators for Generalizable Text-to-Image Person Re-Identification Jiayu Jiang, Changxing Ding, Wentao Tan, Junhong Wang, Jin Tao, Xiangmin Xu

NeurIPS 2025 Partition-Then-Adapt: Combating Prediction Bias for Reliable Multi-Modal Test-Time Adaptation Guowei Wang, Fan Lyu, Changxing Ding

CVPR 2024 Disentangled Pre-Training for Human-Object Interaction Detection Zhuolong Li, Xingao Li, Changxing Ding, Xiangmin Xu

CVPR 2024 Harnessing the Power of MLLMs for Transferable Text-to-Image Person ReID Wentan Tan, Changxing Ding, Jiayu Jiang, Fei Wang, Yibing Zhan, Dapeng Tao

CVPR 2024 Local-Consistent Transformation Learning for Rotation-Invariant Point Cloud Analysis Yiyang Chen, Lunhao Duan, Shanshan Zhao, Changxing Ding, Dacheng Tao

CVPR 2024 Texture-Preserving Diffusion Models for High-Fidelity Virtual Try-on Xu Yang, Changxing Ding, Zhibin Hong, Junhao Huang, Jin Tao, Xiangmin Xu

CVPR 2024 Towards Variable and Coordinated Holistic Co-Speech Motion Generation Yifei Liu, Qiong Cao, Yandong Wen, Huaiguang Jiang, Changxing Ding

CVPR 2023 Harmonious Feature Learning for Interactive Hand-Object Pose Estimation Zhifeng Lin, Changxing Ding, Huan Yao, Zengsheng Kuang, Shaoli Huang

CVPR 2023 HelixSurf: A Robust and Efficient Neural Implicit Surface Learning of Indoor Scenes with Iterative Intertwined Regularization Zhihao Liang, Zhangjin Huang, Changxing Ding, Kui Jia

ICCV 2023 Unified Pre-Training with Pseudo Texts for Text-to-Image Person Re-Identification Zhiyin Shao, Xinyu Zhang, Changxing Ding, Jian Wang, Jingdong Wang

ECCV 2022 Category-Level 6d Object Pose and Size Estimation Using Self-Supervised Deep Prior Deformation Networks Jiehong Lin, Zewei Wei, Changxing Ding, Kui Jia

CVPR 2022 Distillation Using Oracle Queries for Transformer-Based Human-Object Interaction Detection Xian Qu, Changxing Ding, Xingao Li, Xubin Zhong, Dacheng Tao

CVPR 2022 Few-Shot Head Swapping in the Wild Changyong Shu, Hemao Wu, Hang Zhou, Jiaming Liu, Zhibin Hong, Changxing Ding, Junyu Han, Jingtuo Liu, Errui Ding, Jingdong Wang

CVPR 2022 HL-Net: Heterophily Learning Network for Scene Graph Generation Xin Lin, Changxing Ding, Yibing Zhan, Zijian Li, Dacheng Tao

AAAI 2022 MobileFaceSwap: A Lightweight Framework for Video Face Swapping Zhiliang Xu, Zhibin Hong, Changxing Ding, Zhen Zhu, Junyu Han, Jingtuo Liu, Errui Ding

CVPR 2022 RU-Net: Regularized Unrolling Network for Scene Graph Generation Xin Lin, Changxing Ding, Jing Zhang, Yibing Zhan, Dacheng Tao

ECCV 2022 Towards Hard-Positive Query Mining for DETR-Based Human-Object Interaction Detection Xubin Zhong, Changxing Ding, Zijian Li, Shaoli Huang

CVPR 2021 Glance and Gaze: Inferring Action-Aware Points for One-Stage Human-Object Interaction Detection Xubin Zhong, Xian Qu, Changxing Ding, Dacheng Tao

ECCV 2020 Polysemy Deciphering Network for Human-Object Interaction Detection Xubin Zhong, Changxing Ding, Xian Qu, Dacheng Tao

ECCV 2018 Correcting the Triplet Selection Bias for Triplet Loss Baosheng Yu, Tongliang Liu, Mingming Gong, Changxing Ding, Dacheng Tao