Unraveling Vanishing Point and Calibrating Tiny Objects for Semantic Scene Completion
Sheng-Ping Yang, Yu-Wen Tseng, Yung-Chieh Yang, I-Bin Liao, Chi-En Huang, Shen-Hsuan Liu, Yung-Hui Li, Jhih-Ciang Wu, Hong-Han Shuai, and Wen-Huang Cheng
ICIP 2025

MonoTAKD: Teaching Assistant Knowledge Distillation for Monocular 3D Object Detection
Hou-I Liu, Christine Wu, Jen-Hao Cheng, Wenhao Chai, Shian-yun Wang, Gaowen Liu, Hugo Latapie, Jhih-Ciang Wu, Jenq-Neng Hwang, Hong-Han Shuai, and Wen-Huang Cheng
CVPR 2025 [code]

Memory-augmented Re-completion for 3D Semantic Scene Completion
Yu-Wen Tseng, Sheng-Ping Yang, Jhih-Ciang Wu, I-Bin Liao, Yung-Hui Li, Hong-Han Shuai, and Wen-Huang Cheng
AAAI 2025 [paper] [code]

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 [paper] [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]