Progressive Visual Prompt Learning with Contrastive Feature Re-formation. - Chen Xu; Haocheng Shen; Fengyuan Shi 001; Boheng Chen; Yixuan Liao; Xiaoxin Chen 001; Limin Wang 002 (CoRR, 2023)

Bridging The Gaps Between Token Pruning and Full Pre-training via Masked Fine-tuning. - Fengyuan Shi 001; Limin Wang 002 (CoRR, 2023)

BIVDiff: A Training-Free Framework for General-Purpose Video Synthesis via Bridging Image and Video Diffusion Models. - Fengyuan Shi 001; Jiaxi Gu; Hang Xu; Songcen Xu; Wei Zhang; Limin Wang 002 (CVPR, 2024)

Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation. - Zhuoyan Luo; Fengyuan Shi 001; Yixiao Ge; Yujiu Yang; Limin Wang 002; Ying Shan (CoRR, 2024)

Taming Scalable Visual Tokenizer for Autoregressive Image Generation. - Fengyuan Shi 001; Zhuoyan Luo; Yixiao Ge; Yujiu Yang; Ying Shan; Limin Wang 002 (CoRR, 2024)

End-to-end dense video grounding via parallel regression. - Fengyuan Shi 001; Weilin Huang; Limin Wang 002 (Comput. Vis. Image Underst., 2024)

Dynamic MDETR: A Dynamic Multimodal Transformer Decoder for Visual Grounding. - Fengyuan Shi 001; Ruopeng Gao; Weilin Huang; Limin Wang 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)