32 citations · 62 across the 11 of their papers we have counts for
11 papers · 1 filter
MolSight: Optical Chemical Structure Recognition with SMILES Pretraining, Multi-Granularity Learning and Reinforcement Learning
Wenrui Zhang, Xinggang Wang, Bin Feng +1
Optical Chemical Structure Recognition (OCSR) plays a pivotal role in modern chemical informatics, enabling the automated conversion of chemical structure images from scientific li…
Dynamic 2D Gaussians: Geometrically Accurate Radiance Fields for Dynamic Objects
Shuai Zhang, Guanjun Wu, Zhoufeng Xie +3
Reconstructing objects and extracting high-quality surfaces play a vital role in the real world. Current 4D representations show the ability to render high-quality novel views for…
Condition-Adaptive Graph Convolution Learning for Skeleton-Based Gait Recognition
Xiaohu Huang, Xinggang Wang, Zhidianqiu Jin +4
Graph convolutional networks have been widely applied in skeleton-based gait recognition. A key challenge in this task is to distinguish the individual walking styles of different…
GaitGS: Temporal Feature Learning in Granularity and Span Dimension for Gait Recognition
Haijun Xiong, Yunze Deng, Bin Feng +2
Gait recognition, a growing field in biological recognition technology, utilizes distinct walking patterns for accurate individual identification. However, existing methods lack th…
Graph Contrastive Learning for Skeleton-based Action Recognition
Xiaohu Huang, Hao Zhou, Jian Wang +7
In the field of skeleton-based action recognition, current top-performing graph convolutional networks (GCNs) exploit intra-sequence context to construct adaptive graphs for featur…
Multi-scale Context-aware Network with Transformer for Gait Recognition
Duowang Zhu, Xiaohu Huang, Xinggang Wang +4
Although gait recognition has drawn increasing research attention recently, since the silhouette differences are quite subtle in spatial domain, temporal feature representation is…
Tracking Instances as Queries
Shusheng Yang, Yuxin Fang, Xinggang Wang +4
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…
Instances as Queries
Yuxin Fang, Shusheng Yang, Xinggang Wang +5
Recently, query based object detection frameworks achieve comparable performance with previous state-of-the-art object detectors. However, how to fully leverage such frameworks to…
Crossover Learning for Fast Online Video Instance Segmentation
Shusheng Yang, Yuxin Fang, Xinggang Wang +5
Modeling temporal visual context across frames is critical for video instance segmentation (VIS) and other video understanding tasks. In this paper, we propose a fast online VIS mo…
Maximum Entropy Regularization and Chinese Text Recognition
Changxu Cheng, Wuheng Xu, Xiang Bai +2
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…
Patch Aggregator for Scene Text Script Identification
Changxu Cheng, Qiuhui Huang, Xiang Bai +2
Script identification in the wild is of great importance in a multi-lingual robust-reading system. The scripts deriving from the same language family share a large set of character…