Publications

• ReCorD: Reasoning and Correcting Diffusion for HOI Generation
  Jian-Yu Jiang-Lin*, Kang-Yang Huang*, Ling Lo, Yi-Ning Huang, Terence Lin, Jhih-Ciang Wu, Hong-Han Shuai, and Wen-Huang Cheng
  ACM MM 2024 *equal contribution [project website] [code]

• TrajPrompt: Aligning Color Trajectory with Vision-Language Representations
  Li-Wu Tsao, Hao-Tang Tsui, Yu Rou Tuan, Pei-Chi Chen, Kuan-Lin Wang, Jhih-Ciang Wu, Hong-Han Shuai, and Wen-Huang Cheng
  ECCV 2024 [project website] [paper]

• Dual Memory-guided Probabilistic Model for Weakly-supervised Anomaly Detection
  Hsiu-Hua Chou , Ruyi Xu , Kang-Yang Huang , Jhih-Ciang Wu, Hong-Han Shuai, and Wen-Huang Cheng
  IJCAI Workshop 2024 [paper]

• Learning Efficient Interaction Anchor for HOI Detection
  Lirong Xue, Kang-Yang Huang, Rong Chao, Jhih-Ciang Wu, Hong-Han Shuai, Yung-Hui Li and Wen-Huang Cheng
  ICME 2024 Oral [paper]

• TrajFine: Predicted Trajectory Refinement for Pedestrian Trajectory Forecasting
  Kuan-Lin Wang, Li-Wu Tsao, Jhih-Ciang Wu, Hong-Han Shuai and Wen-Huang Cheng
  CVPR Workshop 2024 [paper]

• Contrastive Feature Decoupling for Weakly-supervised Disease Detection
  Jhih-Ciang Wu, Ding-Jie Chen and Chiou-Shann Fuh
  MICCAI 2023 Early Accept (top 14%) [paper]

• Self-Supervised Sparse Representation for Video Anomaly Detection
  Jhih-Ciang Wu*, He-Yen Hsieh*, Ding-Jie Chen, Chiou-Shann Fuh and Tyng-Luh Liu
  ECCV 2022 *equal contribution [paper] [supp] [code]

• Learning Unsupervised Metaformer for Anomaly Detection
  Jhih-Ciang Wu, Ding-Jie Chen, Chiou-Shann Fuh and Tyng-Luh Liu
  ICCV 2021 [paper] [supp]

• One-class Anomaly Detection via Novelty Normalization
  Jhih-Ciang Wu, Sherman Lu, Chiou-Shann Fuh and Tyng-Luh Liu
  CVIU 2021 [paper]

• Cast Search via Two-Stream Label Propagation
  Jhih-Ciang Wu, Bing-Jhang Lin, Bing-Yuan Zeng, Li-Chen Fu, Chiou-Shann Fuh and Tyng-Luh Liu
  ICCV Workshop 2019 [paper]