Search Results for author: Jiahuan Zhou

Found 10 papers, 1 papers with code

Dual Clustering Co-teaching with Consistent Sample Mining for Unsupervised Person Re-Identification

no code implementations7 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.

Pseudo Label Unsupervised Person Re-Identification

Unsupervised Embedding Learning from Uncertainty Momentum Modeling

no code implementations19 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.

Exposing Deep-faked Videos by Anomalous Co-motion Pattern Detection

no code implementations11 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.

Anomaly Detection Data Compression +1

Online Joint Multi-Metric Adaptation From Frequent Sharing-Subset Mining for Person Re-Identification

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.

Person Re-Identification

Conscious Inference for Object Detection

no code implementations27 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.

2D object detection 6D Pose Estimation using RGB +2

Efficient Online Local Metric Adaptation via Negative Samples for Person Re-Identification

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.

Metric Learning Person Re-Identification

Learning Reconstruction-Based Remote Gaze Estimation

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.

Gaze Estimation

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