1 code implementation • 10 Mar 2024 • Huaxin Zhang, Xiang Wang, Xiaohao Xu, Xiaonan Huang, Chuchu Han, Yuehuan Wang, Changxin Gao, Shanjun Zhang, Nong Sang
In recent years, video anomaly detection has been extensively investigated in both unsupervised and weakly supervised settings to alleviate costly temporal labeling.
no code implementations • 1 Mar 2024 • Jiahao Hong, Jialong Zuo, Chuchu Han, Ruochen Zheng, Ming Tian, Changxin Gao, Nong Sang
We introduce the Spatial Cascaded Clustering and Weighted Memory (SCWM) method to address these challenges.
no code implementations • IEEE Transactions on Pattern Analysis and Machine Intelligence 2022 • Chuchu Han, Zhedong Zheng, Kai Su, Dongdong Yu, Zehuan Yuan, Changxin Gao, Nong Sang, Yi Yang
Person search aims at localizing and recognizing query persons from raw video frames, which is a combination of two sub-tasks, i. e., pedestrian detection and person re-identification.
Ranked #3 on Person Search on PRW
no code implementations • arXiv 2022 • Qiang Chen, Jian Wang, Chuchu Han, Shan Zhang, Zexian Li, Xiaokang Chen, Jiahui Chen, Xiaodi Wang, Shuming Han, Gang Zhang, Haocheng Feng, Kun Yao, Junyu Han, Errui Ding, Jingdong Wang
The training process consists of self-supervised pretraining and finetuning a ViT-Huge encoder on ImageNet-1K, pretraining the detector on Object365, and finally finetuning it on COCO.
Ranked #8 on Object Detection on COCO test-dev
1 code implementation • 26 Feb 2022 • Guanghao Yin, Wei Wang, Zehuan Yuan, Chuchu Han, Wei Ji, Shouqian Sun, Changhu Wang
The comparisons of distribution differences between HQ and LQ images can help our model better assess the image quality.
no code implementations • 22 Dec 2021 • Yuhang Wu, Tengteng Huang, Haotian Yao, Chi Zhang, Yuanjie Shao, Chuchu Han, Changxin Gao, Nong Sang
First, we present a Domain-Specific Contrastive Learning (DSCL) mechanism to fully explore intradomain information by comparing samples only from the same domain.
Contrastive Learning Domain Adaptive Person Re-Identification +2
1 code implementation • 15 Dec 2021 • Zongheng Huang, Yifan Sun, Chuchu Han, Changxin Gao, Nong Sang
By combining two fundamental learning approaches in DML, e. g., classification training and pairwise training, we set up a strong baseline for ZS-SBIR.
no code implementations • ICCV 2021 • Chuchu Han, Kai Su, Dongdong Yu, Zehuan Yuan, Changxin Gao, Nong Sang, Yi Yang, Changhu Wang
Large-scale labeled training data is often difficult to collect, especially for person identities.
no code implementations • 22 Feb 2021 • Chuchu Han, Zhedong Zheng, Changxin Gao, Nong Sang, Yi Yang
Specifically, to reconcile the conflicts of multiple objectives, we simplify the standard tightly coupled pipelines and establish a deeply decoupled multi-task learning framework.
Ranked #8 on Person Search on PRW
1 code implementation • ECCV 2020 • Shizhen Zhao, Changxin Gao, Jun Zhang, Hao Cheng, Chuchu Han, Xinyang Jiang, Xiaowei Guo, Wei-Shi Zheng, Nong Sang, Xing Sun
In the conventional person Re-ID setting, it is widely assumed that cropped person images are for each individual.
no code implementations • CVPR 2020 • Jialun Liu, Yifan Sun, Chuchu Han, Zhaopeng Dou, Wenhui Li
If a sample belongs to a tail class, the corresponding feature cloud will have relatively large distribution range, in compensation to its lack of diversity.
no code implementations • ICCV 2019 • Chuchu Han, Jiacheng Ye, Yunshan Zhong, Xin Tan, Chi Zhang, Changxin Gao, Nong Sang
The state-of-the-art methods train the detector individually, and the detected bounding boxes may be sub-optimal for the following re-ID task.