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20212023
most citedTowards Open-vocabulary Scene Graph Generation with Prompt-based Finetuning

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023

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…

cs.CV2023

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…

cs.CL20221 cited

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…

cs.CV20222 cited

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…

cs.CV2021

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…