Flow-Distilled IP Two-Stream Networks for Compressed Video Action Recognition. - Shiyuan Huang 001; Xudong Lin 003; Svebor Karaman; Shih-Fu Chang (CoRR, 2019)

Task-Adaptive Negative Class Envision for Few-Shot Open-Set Recognition. - Shiyuan Huang 001; Jiawei Ma; Guangxing Han; Shih-Fu Chang (CoRR, 2020)

Query Adaptive Few-Shot Object Detection with Heterogeneous Graph Convolutional Networks. - Guangxing Han; Yicheng He; Shiyuan Huang 001; Jiawei Ma; Shih-Fu Chang (ICCV, 2021)

Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment. - Guangxing Han; Shiyuan Huang 001; Jiawei Ma; Yicheng He; Shih-Fu Chang (AAAI, 2022)

Few-Shot Object Detection with Fully Cross-Transformer. - Guangxing Han; Jiawei Ma; Shiyuan Huang 001; Long Chen 016; Shih-Fu Chang (CVPR, 2022)

Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition. - Shiyuan Huang 001; Jiawei Ma; Guangxing Han; Shih-Fu Chang (CVPR, 2022)

Video in 10 Bits: Few-Bit VideoQA for Efficiency and Privacy. - Shiyuan Huang 001; Robinson Piramuthu; Shih-Fu Chang; Gunnar A. Sigurdsson (ECCV Workshops (5), 2022)

Few-Shot End-to-End Object Detection via Constantly Concentrated Encoding Across Heads. - Jiawei Ma; Guangxing Han; Shiyuan Huang 001; Yuncong Yang; Shih-Fu Chang (ECCV (26), 2022)

Multimodal Few-Shot Object Detection with Meta-Learning Based Cross-Modal Prompting. - Guangxing Han; Jiawei Ma; Shiyuan Huang 001; Long Chen 016; Rama Chellappa; Shih-Fu Chang (CoRR, 2022)

Towards Fast Adaptation of Pretrained Contrastive Models for Multi-channel Video-Language Retrieval. - Xudong Lin 003; Simran Tiwari; Shiyuan Huang 001; Manling Li; Mike Zheng Shou; Heng Ji 001; Shih-Fu Chang (CVPR, 2023)

Supervised Masked Knowledge Distillation for Few-Shot Transformers. - Han Lin; Guangxing Han; Jiawei Ma; Shiyuan Huang 001; Xudong Lin 003; Shih-Fu Chang (CVPR, 2023)

DiGeo: Discriminative Geometry-Aware Learning for Generalized Few-Shot Object Detection. - Jiawei Ma; Yulei Niu; Jincheng Xu; Shiyuan Huang 001; Guangxing Han; Shih-Fu Chang (CVPR, 2023)

TempCLR: Temporal Alignment Representation with Contrastive Learning. - Yuncong Yang; Jiawei Ma; Shiyuan Huang 001; Long Chen 016; Xudong Lin 003; Guangxing Han; Shih-Fu Chang (ICLR, 2023)

Characterizing Video Question Answering with Sparsified Inputs. - Shiyuan Huang 001; Robinson Piramuthu; Vicente Ordonez; Shih-Fu Chang; Gunnar A. Sigurdsson (CoRR, 2023)

Personalized Video Comment Generation. - Xudong Lin 003; Ali Zare; Shiyuan Huang 001; Ming-Hsuan Yang 003; Shih-Fu Chang; Li Zhang (EMNLP (Findings), 2024)

WIDIn: Wording Image for Domain-Invariant Representation in Single-Source Domain Generalization. - Jiawei Ma; Yulei Niu; Shiyuan Huang 001; Guangxing Han; Shih-Fu Chang (CoRR, 2024)

A General Framework for Model Adaptation to Meet Practical Constraints in Computer Vision - Shiyuan Huang 001 (2024)