activity
20152022
most citedRecent Advance in Content-based Image Retrieval: A Literature Survey

162 citations · 393 across the 47 of their papers we have counts for

collaborators

64 papers

cs.CV202219 cited

Fine-grained Semantic Alignment Network for Weakly Supervised Temporal Language Grounding

Yuechen Wang, Wengang Zhou, Houqiang Li

Temporal language grounding (TLG) aims to localize a video segment in an untrimmed video based on a natural language description. To alleviate the expensive cost of manual annotati…

cs.CV2022

UDoc-GAN: Unpaired Document Illumination Correction with Background Light Prior

Yonghui Wang, Wengang Zhou, Zhenbo Lu +1

Document images captured by mobile devices are usually degraded by uncontrollable illumination, which hampers the clarity of document content. Recently, a series of research effort…

cs.CV20223 cited

Multi-Target Active Object Tracking with Monte Carlo Tree Search and Target Motion Modeling

Zheng Chen, Jian Zhao, Mingyu Yang +2

In this work, we are dedicated to multi-target active object tracking (AOT), where there are multiple targets as well as multiple cameras in the environment. The goal is maximize t…

cs.CV20221 cited

Learning Enriched Illuminants for Cross and Single Sensor Color Constancy

Xiaodong Cun, Zhendong Wang, Chi-Man Pun +4

Color constancy aims to restore the constant colors of a scene under different illuminants. However, due to the existence of camera spectral sensitivity, the network trained on a c…

cs.CV20221 cited

MVP: Multimodality-guided Visual Pre-training

Longhui Wei, Lingxi Xie, Wengang Zhou +2

Recently, masked image modeling (MIM) has become a promising direction for visual pre-training. In the context of vision transformers, MIM learns effective visual representation by…

cs.CV20224 cited

Coordinate-Aligned Multi-Camera Collaboration for Active Multi-Object Tracking

Zeyu Fang, Jian Zhao, Mingyu Yang +3

Active Multi-Object Tracking (AMOT) is a task where cameras are controlled by a centralized system to adjust their poses automatically and collaboratively so as to maximize the cov…