5 citations · 8 across the 5 of their papers we have counts for
5 papers · 1 filter
Learning Discriminative Spatio-temporal Representations for Semi-supervised Action Recognition
Yu Wang, Sanping Zhou, Kun Xia +1
Semi-supervised action recognition aims to improve spatio-temporal reasoning ability with a few labeled data in conjunction with a large amount of unlabeled data. Albeit recent adv…
Robust Noisy Label Learning via Two-Stream Sample Distillation
Sihan Bai, Sanping Zhou, Zheng Qin +2
Noisy label learning aims to learn robust networks under the supervision of noisy labels, which plays a critical role in deep learning. Existing work either conducts sample selecti…
Single-Shot and Multi-Shot Feature Learning for Multi-Object Tracking
Yizhe Li, Sanping Zhou, Zheng Qin +3
Multi-Object Tracking (MOT) remains a vital component of intelligent video analysis, which aims to locate targets and maintain a consistent identity for each target throughout a vi…
Designing a Better Asymmetric VQGAN for StableDiffusion
Zixin Zhu, Xuelu Feng, Dongdong Chen +5
StableDiffusion is a revolutionary text-to-image generator that is causing a stir in the world of image generation and editing. Unlike traditional methods that learn a diffusion mo…
MotionTrack: Learning Robust Short-term and Long-term Motions for Multi-Object Tracking
Zheng Qin, Sanping Zhou, Le Wang +3
The main challenge of Multi-Object Tracking~(MOT) lies in maintaining a continuous trajectory for each target. Existing methods often learn reliable motion patterns to match the sa…