1 code implementation • 6 Jun 2023 • Wei Su, Peihan Miao, Huanzhang Dou, Yongjian Fu, Xi Li
Different from universal object detection, referring expression comprehension (REC) aims to locate specific objects referred to by natural language expressions.
no code implementations • 6 Jun 2023 • Huanzhang Dou, Pengyi Zhang, Wei Su, Yunlong Yu, Xi Li
Towards this goal, MetaGait injects meta-knowledge, which could guide the model to perceive sample-specific properties, into the calibration network of the attention mechanism to improve the adaptiveness from the omni-scale, omni-dimension, and omni-process perspectives.
no code implementations • CVPR 2023 • Huanzhang Dou, Pengyi Zhang, Wei Su, Yunlong Yu, Yining Lin, Xi Li
Gait is one of the most promising biometrics that aims to identify pedestrians from their walking patterns.
1 code implementation • CVPR 2023 • Wei Su, Peihan Miao, Huanzhang Dou, Gaoang Wang, Liang Qiao, Zheyang Li, Xi Li
The active perception can take expressions as priors to extract relevant visual features, which can effectively alleviate the mismatches.
no code implementations • 6 Jun 2023 • Huanzhang Dou, Pengyi Zhang, Yuhan Zhao, Lin Dong, Zequn Qin, Xi Li
In this work, we propose to solve the hard sample issue with a Memory-augmented Progressive Learning network (GaitMPL), including Dynamic Reweighting Progressive Learning module (DRPL) and Global Structure-Aligned Memory bank (GSAM).
no code implementations • 30 May 2021 • Pengyi Zhang, Huanzhang Dou, Wenhu Zhang, Yuhan Zhao, Songyuan Li, Zequn Qin, Xi Li
To diversify the extrinsic factors of gait, we build a complicated scene with a dense camera layout.
no code implementations • 5 Jan 2021 • Huanzhang Dou, Wenhu Zhang, Pengyi Zhang, Yuhan Zhao, Songyuan Li, Zequn Qin, Fei Wu, Lin Dong, Xi Li
With the motivation of practical gait recognition applications, we propose to automatically create a large-scale synthetic gait dataset (called VersatileGait) by a game engine, which consists of around one million silhouette sequences of 11, 000 subjects with fine-grained attributes in various complicated scenarios.