Shi Pu

11 papers A* 3B 1C 1Journal 6
YearRankTypeTitle / Venue / Authors
2023 A* conf
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale.
ICML
Fan Bao, Shen Nie, Kaiwen Xue, Chongxuan Li, Shi Pu, Yaole Wang, Gang Yue, Yue Cao, Hang Su, Jun Zhu
2023 J jnl
One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale.
CoRR
Fan Bao, Shen Nie, Kaiwen Xue, Chongxuan Li, Shi Pu, Yaole Wang, Gang Yue, Yue Cao, Hang Su, Jun Zhu
2023 A* conf
Text-to-Image Diffusion Models can be Easily Backdoored through Multimodal Data Poisoning.
ACM Multimedia
Shengfang Zhai, Yinpeng Dong, Qingni Shen, Shi Pu, Yuejian Fang, Hang Su
2023 J jnl
Text-to-Image Diffusion Models can be Easily Backdoored through Multimodal Data Poisoning.
CoRR
Shengfang Zhai, Yinpeng Dong, Qingni Shen, Shi Pu, Yuejian Fang, Hang Su
2021 J jnl
Learning Recurrent Memory Activation Networks for Visual Tracking.
IEEE Trans. Image Process.
Shi Pu, Yibing Song, Chao Ma, Honggang Zhang, Ming-Hsuan Yang
2020 J jnl
Robust visual tracking by embedding combination and weighted-gradient optimization.
Pattern Recognit.
Jin Feng, Peng Xu, Shi Pu, Kaili Zhao, Honggang Zhang
2019 C conf
Enhanced Initialization with Multi-Stage Learning for Robust Visual Tracking.
VCIP
Jin Feng, Shi Pu, Kaili Zhao, Honggang Zhang, Tianming Du
2019 J jnl
Learning Objectness Transfer Networks for Visual Tracking.
IEEE Access
Shi Pu, Kaili Zhao, Honggang Zhang
2018 A* conf
Deep Attentive Tracking via Reciprocative Learning.
NeurIPS
Shi Pu, Yibing Song, Chao Ma, Honggang Zhang, Ming-Hsuan Yang
2018 J jnl
Deep Attentive Tracking via Reciprocative Learning.
CoRR
Shi Pu, Yibing Song, Chao Ma, Honggang Zhang, Ming-Hsuan Yang
2016 B conf
Structure and appearance preserving network flow for multi-object tracking.
ICPR
Shi Pu, Honggang Zhang, Kaili Zhao