Fine-Grained Visual Recognition with Batch Confusion Norm. - Yen-Chi Hsu; Cheng-Yao Hong; Ding-Jie Chen; Ming-Sui Lee; Davi Geiger; Tyng-Luh Liu (CoRR, 2019)

Query-Driven Multi-Instance Learning. - Yen-Chi Hsu; Cheng-Yao Hong; Ming-Sui Lee; Tyng-Luh Liu (AAAI, 2020)

Video Summarization with Anchors and Multi-Head Attention. - Yi-Lin Sung; Cheng-Yao Hong; Yen-Chi Hsu; Tyng-Luh Liu (ICIP, 2020)

Decoupled Contrastive Learning. - Chun-Hsiao Yeh; Cheng-Yao Hong; Yen-Chi Hsu; Tyng-Luh Liu; Yubei Chen; Yann LeCun (ECCV (26), 2022)

SAGA: Self-Augmentation with Guided Attention for Representation Learning. - Chun-Hsiao Yeh; Cheng-Yao Hong; Yen-Chi Hsu; Tyng-Luh Liu (ICASSP, 2022)

IoU-Aware Multi-Expert Cascade Network Via Dynamic Ensemble for Long-Tailed Object Detection. - Wan-Cyuan Fan; Cheng-Yao Hong; Yen-Chi Hsu; Tyng-Luh Liu (ICASSP, 2023)

ABC-Norm Regularization for Fine-Grained and Long-Tailed Image Classification. - Yen-Chi Hsu; Cheng-Yao Hong; Ming-Sui Lee; Davi Geiger; Tyng-Luh Liu (IEEE Trans. Image Process., 2023)

Contrastive Learning for DeepFake Classification and Localization via Multi-Label Ranking. - Cheng-Yao Hong; Yen-Chi Hsu; Tyng-Luh Liu (CVPR, 2024)