most citedGround-to-Aerial Person Search: Benchmark Dataset and Approach

16 citations · 16 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

EvLight++: Low-Light Video Enhancement with an Event Camera: A Large-Scale Real-World Dataset, Novel Method, and More

Kanghao Chen, Guoqiang Liang, Hangyu Li +2

Event cameras offer significant advantages for low-light video enhancement, primarily due to their high dynamic range. Current research, however, is severely limited by the absence…

cs.CV2024

Towards Robust Event-guided Low-Light Image Enhancement: A Large-Scale Real-World Event-Image Dataset and Novel Approach

Guoqiang Liang, Kanghao Chen, Hangyu Li +2

Event camera has recently received much attention for low-light image enhancement (LIE) thanks to their distinct advantages, such as high dynamic range. However, current research i…

cs.CV2024

CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and Vocabulary Learning

Yukun Li, Guansong Pang, Wei Suo +6

This paper explores the problem of continual learning (CL) of vision-language models (VLMs) in open domains, where the models need to perform continual updating and inference on a…

cs.CV2024

DMAT: A Dynamic Mask-Aware Transformer for Human De-occlusion

Guoqiang Liang, Jiahao Hu, Qingyue Wang +1

Human de-occlusion, which aims to infer the appearance of invisible human parts from an occluded image, has great value in many human-related tasks, such as person re-id, and inten…

cs.CV202316 cited

Ground-to-Aerial Person Search: Benchmark Dataset and Approach

Shizhou Zhang, Qingchun Yang, De Cheng +4

In this work, we construct a large-scale dataset for Ground-to-Aerial Person Search, named G2APS, which contains 31,770 images of 260,559 annotated bounding boxes for 2,644 identit…