Learnable Discrete Wavelet Pooling (LDW-Pooling) for Convolutional Networks. - Bor-Shiun Wang; Jun-Wei Hsieh; Ping-Yang Chen; Ming-Ching Chang; Lipeng Ke; Siwei Lyu (BMVC, 2021)

COFENet: Co-Feature Neural Network Model for Fine-Grained Image Classification. - Bor-Shiun Wang; Jun-Wei Hsieh; Yi-Kuan Hsieh; Ping-Yang Chen (ICIP, 2022)

Cooperative Reinforcement Learning on Traffic Signal Control. - Chi-Chun Chao; Jun-Wei Hsieh; Bor-Shiun Wang (CoRR, 2022)

Scale-Aware Crowd Counting Using a Joint Likelihood Density Map and Synthetic Fusion Pyramid Network. - Yi-Kuan Hsieh; Jun-Wei Hsieh; Yu-Chee Tseng; Ming-Ching Chang; Bor-Shiun Wang (CoRR, 2022)

SARAS-Net: Scale and Relation Aware Siamese Network for Change Detection. - Chao-Peng Chen; Jun-Wei Hsieh; Ping-Yang Chen; Yi-Kuan Hsieh; Bor-Shiun Wang (AAAI, 2023)

PRB-FPN+: Video Analytics for Enforcing Motorcycle Helmet Laws. - Bor-Shiun Wang; Ping-Yang Chen; Yi-Kuan Hsieh; Jun-Wei Hsieh; Ming-Ching Chang; JiaXin He; Shin-You Teng; HaoYuan Yue; Yu-Chee Tseng (CVPR Workshops, 2023)

MCPNet: An Interpretable Classifier via Multi-Level Concept Prototypes. - Bor-Shiun Wang; Chien-Yi Wang; Wei-Chen Chiu (CVPR, 2024)