2 citations · 3 across the 5 of their papers we have counts for
5 papers
Deformable Kernel Expansion Model for Efficient Arbitrary-shaped Scene Text Detection
Tao He, Sheng Huang, Wenhao Tang +1
Scene text detection is a challenging computer vision task due to the high variation in text shapes and ratios. In this work, we propose a scene text detector named Deformable Kern…
X-ReID: Cross-Instance Transformer for Identity-Level Person Re-Identification
Leqi Shen, Tao He, Yuchen Guo +1
Currently, most existing person re-identification methods use Instance-Level features, which are extracted only from a single image. However, these Instance-Level features can easi…
VEML: A Plug-and-play Framework for Fusing Text and Structure Knowledge on Sparse Knowledge Graph Completion
Tao He, Ming Liu, Yixin Cao +5
Knowledge Graph Completion (KGC) aims to reason over known facts and infer missing links but achieves weak performances on those sparse Knowledge Graphs (KGs). Recent works introdu…
Towards Open-vocabulary Scene Graph Generation with Prompt-based Finetuning
Tao He, Lianli Gao, Jingkuan Song +1
Scene graph generation (SGG) is a fundamental task aimed at detecting visual relations between objects in an image. The prevailing SGG methods require all object classes to be give…
TAGPerson: A Target-Aware Generation Pipeline for Person Re-identification
Kai Chen, Weihua Chen, Tao He +5
Nowadays, real data in person re-identification (ReID) task is facing privacy issues, e.g., the banned dataset DukeMTMC-ReID. Thus it becomes much harder to collect real data for R…