1 code implementation • CVPR 2020 • Yansong Tang, Zanlin Ni, Jiahuan Zhou, Danyang Zhang, Jiwen Lu, Ying Wu, Jie zhou
Assessing action quality from videos has attracted growing attention in recent years.
Ranked #4 on Action Quality Assessment on AQA-7
1 code implementation • 24 May 2023 • Shilv Cai, Liqun Chen, Sheng Zhong, Luxin Yan, Jiahuan Zhou, Xu Zou
Experimental results show that our proposed joint solution achieves a significant improvement over different combinations of existing state-of-the-art sequential ``Compress before Enhance'' or ``Enhance before Compress'' solutions for low-light images, which would make lossy low-light image compression more meaningful.
no code implementations • CVPR 2018 • Jiahuan Zhou, Bing Su, Ying Wu
Multi-shot person re-identification (MsP-RID) utilizes multiple images from the same person to facilitate identification.
no code implementations • CVPR 2016 • Pei Yu, Jiahuan Zhou, Ying Wu
A common treatment is to use the same local reconstruction in the two spaces, i. e., the reconstruction weights in the appearance space are transferred to the gaze space for gaze reconstruction.
no code implementations • ICCV 2017 • Jiahuan Zhou, Pei Yu, Wei Tang, Ying Wu
In contrast to these methods, this paper advocates a different paradigm: part of the learning can be performed online but with nominal costs, so as to achieve online metric adaptation for different input probes.
no code implementations • ICCV 2017 • Wei Tang, Pei Yu, Jiahuan Zhou, Ying Wu
Compositional models represent visual patterns as hierarchies of meaningful and reusable parts.
no code implementations • CVPR 2020 • Jiahuan Zhou, Bing Su, Ying Wu
Person Re-IDentification (P-RID), as an instance-level recognition problem, still remains challenging in computer vision community.
no code implementations • 11 Aug 2020 • Gengxing Wang, Jiahuan Zhou, Ying Wu
Recent deep learning based video synthesis approaches, in particular with applications that can forge identities such as "DeepFake", have raised great security concerns.
no code implementations • 19 Jul 2021 • Jiahuan Zhou, Yansong Tang, Bing Su, Ying Wu
We justify that the performance limitation is caused by the gradient vanishing on these sample outliers.
no code implementations • 27 Sep 2018 • Jiahuan Zhou, Nikolaos Karianakis, Ying Wu, Gang Hua
Current Convolutional Neural Network (CNN)-based object detection models adopt strictly feedforward inference to predict the final detection results.
no code implementations • 7 Oct 2022 • Zeqi Chen, Zhichao Cui, Chi Zhang, Jiahuan Zhou, Yuehu Liu
However, training two networks with a set of noisy pseudo labels reduces the complementarity of the two networks and results in label noise accumulation.
no code implementations • 29 Mar 2023 • Wei Wei, Jiahuan Zhou, Hongze Li, Ying Wu
Thus, the critical data uncertainty and model uncertainty caused by noisy data can be readily quantified for improving model robustness.
no code implementations • 29 Mar 2023 • Wei Wei, Jiahuan Zhou, Ying Wu
In this manner, the attacking effect of adversarial samples lying in the vicinity of clean samples can be alleviated.
no code implementations • 4 Oct 2023 • Zhijun Zhang, Xu Zou, Jiahuan Zhou, Sheng Zhong, Ying Wu
Analysis of human actions in videos demands understanding complex human dynamics, as well as the interaction between actors and context.