Search Results for author: Bin Feng

Found 7 papers, 5 papers with code

Context-Sensitive Temporal Feature Learning for Gait Recognition

1 code implementation ICCV 2021 Xiaohu Huang, Duowang Zhu, Xinggang Wang, Hao Wang, Bo Yang, Botao He, Wenyu Liu, Bin Feng

Specifically, CSTL contains an adaptive temporal aggregation module that subsequently performs local relation modeling and global relation modeling to fuse the multi-scale features.

Gait Recognition

Tracking Instances as Queries

1 code implementation22 Jun 2021 Shusheng Yang, Yuxin Fang, Xinggang Wang, Yu Li, Ying Shan, Bin Feng, Wenyu Liu

Recently, query based deep networks catch lots of attention owing to their end-to-end pipeline and competitive results on several fundamental computer vision tasks, such as object detection, semantic segmentation, and instance segmentation.

Instance Segmentation Object Detection +2

Instances as Queries

5 code implementations ICCV 2021 Yuxin Fang, Shusheng Yang, Xinggang Wang, Yu Li, Chen Fang, Ying Shan, Bin Feng, Wenyu Liu

The key insight of QueryInst is to leverage the intrinsic one-to-one correspondence in object queries across different stages, as well as one-to-one correspondence between mask RoI features and object queries in the same stage.

Instance Segmentation Object Detection +1

Crossover Learning for Fast Online Video Instance Segmentation

1 code implementation ICCV 2021 Shusheng Yang, Yuxin Fang, Xinggang Wang, Yu Li, Chen Fang, Ying Shan, Bin Feng, Wenyu Liu

For temporal information modeling in VIS, we present a novel crossover learning scheme that uses the instance feature in the current frame to pixel-wisely localize the same instance in other frames.

Frame Instance Segmentation +3

Deep multi-metric learning for text-independent speaker verification

1 code implementation17 Jul 2020 Jiwei Xu, Xinggang Wang, Bin Feng, Wenyu Liu

Text-independent speaker verification is an important artificial intelligence problem that has a wide spectrum of applications, such as criminal investigation, payment certification, and interest-based customer services.

Metric Learning Text-Independent Speaker Verification

Maximum Entropy Regularization and Chinese Text Recognition

no code implementations9 Jul 2020 Changxu Cheng, Wuheng Xu, Xiang Bai, Bin Feng, Wenyu Liu

Chinese text recognition is more challenging than Latin text due to the large amount of fine-grained Chinese characters and the great imbalance over classes, which causes a serious overfitting problem.

Fine-Grained Image Classification

Patch Aggregator for Scene Text Script Identification

no code implementations9 Dec 2019 Changxu Cheng, Qiuhui Huang, Xiang Bai, Bin Feng, Wenyu Liu

Script identification in the wild is of great importance in a multi-lingual robust-reading system.

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