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Publications

  • W. Chai, Z. Jiang, J.-N. Hwang, G. Wang. Global Adaptation meets Local Generalization: Unsupervised Domain Adaptation for 3D Human Pose Estimation. ICCV, 2023.

  • W. Chai, X. Guo, G. Wang, Y. Lu. StableVideo: Text-driven Consistency-aware Diffusion Video Editing. ICCV, 2023.

  • S. Cao, W. Chai, S. Hao, G. Wang. Image Reference-Guided Fashion Design With Structure-Aware Transfer by Diffusion Models. CVPRW, 2023.

  • Z. Zhao, W. Chai, S. Hao, W. Hu, G. Wang, S. Cao, M. Song, J. Hwang, G. Wang. A Survey of Deep Learning in Sports Applications: Perception, Comprehension, and Decision. arXiv, 2023.

  • Z. Zhang, W. Chai, Z. Jiang, T. Ye, M. Song, J. Hwang, G. Wang. MPM: A Unified 2D-3D Human Pose Representation via Masked Pose Modeling. arXiv, 2023.

  • X. Li, K. Shang, G. Wang, M. D Butala. DDMM-Synth: A Denoising Diffusion Model for Cross-modal Medical Image Synthesis with Sparse-view Measurement Embedding. arXiv, 2023.

  • X. Guo, W. Hu, C. Ni, W. Chai, S. Li, Gaoang Wang. Blind Inpainting with Object-aware Discrimination for Artificial Marker Removal. arXiv, 2023.

  • S. Cao, W. Chai, S. Hao, Y. Zhang, H. Chen, G. Wang. DiffFashion: Reference-based Fashion Design with Structure-aware Transfer by Diffusion Models. arXiv, 2023.

  • G. Wang, M. Song. Temporal Constrained Feasible Subspace Learning for Human Pose Forecasting. IJCAI, 2023.

  • X. Li, T. Wu, G. Wang, Z. Qi, Y. Shan, X. Li. SGAT4PASS: Spherical Geometry-Aware Transformer for PAnoramic Semantic Segmentation. IJCAI, 2023.

  • W. Hu, Y. Liu, X. Chen, W. Chai, H. Chen, H. Wang, G. Wang. Deep Learning Methods for Small Molecule Drug Discovery: A Survey. TAI, 2023.

  • W. Su, P. Miao, H. Dou, G. Wang, L. Qiao, Z. Li, X. Li. Language Adaptive Weight Generation for Multi-task Visual Grounding. CVPR, 2023.

  • Y. Zhang, S. Wang, Y. Fan, G. Wang, C. Yan. TransLink: Transformer-based Embedding for Tracklets' Global Link. ICASSP, 2023.

  • W. Hu, Y. Liu, J. Xu, X. Chen, G. Wang. Learning Discrimination from Contaminated Data: Multi-Instance Learning for Unsupervised Anomaly Detection. ICME, 2023.

  • G. Wang, Y. Zhan, X. Wang, M. Song, K. Nahrstedt. Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection. ECCV, 2022.

  • G. Wang, Y. Wang, R. Gu, W. Hu, J.-N. Hwang. Split and Connect: A Universal Tracklet Booster for Multi-Object Tracking. TMM, 2022.

  • Z. Liu, X. He, H. Wang, H. Xiong, Y. Zhang, G. Wang, J., Y. Feng, F. Zhu, H. Hu. Hierarchical Self-supervised Learning for 3D Tooth Segmentation in Intra-oral Mesh Scans. TMI, 2022.

  • K. Yan, Y. Zhang, H. Tang, C. Ren, J. Zhang, G. Wang, H. Wang. Signature Detection, Restoration, and Verification: A Novel Chinese Document Signature Forgery Detection Benchmark. CVPR workshops, 2022.

  • G. Wang, K. Lu, Y. Zhou, Z. He, G Wang. Human-Centered Prior-Guided and Task-Dependent Multi-Task Representation Learning for Action Recognition Pre-Training. ICME, 2022.

  • G. Wang, R. Gu, Z. Liu, W. Hu, M. Song, J.-N. Hwang. Track without Appearance: Learn Box and Tracklet Embedding with Local and Global Motion Patterns for Vehicle Tracking. ICCV, 2021.

  • Y. Wang, G. Wang, H.-M. Hsu, H. Liu, J.-N. Hwang. Rethinking of Radar's Role: A Camera-Radar Dataset and Systematic Annotator via Coordinate Alignment. CVPR workshops, 2021.

  • Y. Wang, J.-N. Hwang, G. Wang, H. Liu, K. Kim, H.-M. Hsu, J. Cai, H. Zhang, Z. Jiang, R. Gu. ROD2021 Challenge: A Summary for Radar Object Detection Challenge for Autonomous Driving Applications. ICMR, 2021.

  • S. Hao, G. Wang, R. Gu. Weakly Supervised Instance Segmentation using Multi-Prior Fusion. CVIU, 2021.