Multiple Instance Curriculum Learning for Weakly Supervised Object Detection. - Siyang Li 002; Xiangxin Zhu; Qin Huang 006; Hao Xu; C.-C. Jay Kuo (BMVC, 2017)

Efficient segmentation-aided text detection for intelligent robots. - Junting Zhang; Yuewei Na; Siyang Li 002; C.-C. Jay Kuo (GlobalSIP, 2017)

Box Refinement: Object Proposal Enhancement and Pruning. - Siyang Li 002; Heming Zhang 003; Junting Zhang; Yuzhuo Ren; C.-C. Jay Kuo (WACV, 2017)

Semantic Segmentation with Reverse Attention. - Qin Huang 006; Chunyang Xia; Chi-Hao Wu 001; Siyang Li 002; Ye Wang 013; Yuhang Song 003; C.-C. Jay Kuo (CoRR, 2017)

A Taught-Obesrve-Ask (TOA) Method for Object Detection with Critical Supervision. - Chi-Hao Wu 001; Qin Huang 006; Siyang Li 002; C.-C. Jay Kuo (CoRR, 2017)

Design Pseudo Ground Truth with Motion Cue for Unsupervised Video Object Segmentation. - Ye Wang 013; Jongmoo Choi; Yueru Chen; Qin Huang 006; Siyang Li 002; Ming-Sui Lee; C.-C. Jay Kuo (ACCV (4), 2018)

Instance Embedding Transfer to Unsupervised Video Object Segmentation. - Siyang Li 002; Bryan Seybold; Alexey Vorobyov; Alireza Fathi; Qin Huang 006; C.-C. Jay Kuo (CVPR, 2018)

Unsupervised Video Object Segmentation with Motion-Based Bilateral Networks. - Siyang Li 002; Bryan Seybold; Alexey Vorobyov; Xuejing Lei; C.-C. Jay Kuo (ECCV (3), 2018)

Representative Fashion Feature Extraction by Leveraging Weakly Annotated Online Resources. - Heming Zhang 003; Siyang Li 002; Shanshan Cai; Haoyu Jiang; C.-C. Jay Kuo (ICIP, 2018)

Unsupervised Clustering Guided Semantic Segmentation. - Qin Huang 006; Chunyang Xia; Siyang Li 002; Ye Wang 013; Yuhang Song 003; C.-C. Jay Kuo (WACV, 2018)

Interpretable convolutional neural networks via feedforward design. - C.-C. Jay Kuo; Min Zhang 030; Siyang Li 002; Jiali Duan; Yueru Chen (J. Vis. Commun. Image Represent., 2019)

The surprising impact of mask-head architecture on novel class segmentation. - Vighnesh Birodkar; Zhichao Lu; Siyang Li 002; Vivek Rathod; Jonathan Huang (ICCV, 2021)

Unsupervised video object segmentation with distractor-aware online adaptation. - Ye Wang 013; Jongmoo Choi; Yueru Chen; Siyang Li 002; Qin Huang 006; Kaitai Zhang; Ming-Sui Lee; C.-C. Jay Kuo (J. Vis. Commun. Image Represent., 2021)

CLIP as RNN: Segment Countless Visual Concepts without Training Endeavor. - Shuyang Sun; Runjia Li; Philip Torr 001; Xiuye Gu; Siyang Li 002 (CVPR, 2024)