activity
20172024
most citedMeta-causal Learning for Single Domain Generalization

5 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20242 cited

A Real-Time Framework for Domain-Adaptive Underwater Object Detection with Image Enhancement

Junjie Wen, Jinqiang Cui, Benyun Zhao +4

In recent years, significant progress has been made in the field of underwater image enhancement (UIE). However, its practical utility for high-level vision tasks, such as underwat…

cs.CV2023

Exploring Data Geometry for Continual Learning

Zhi Gao, Chen Xu, Feng Li +3

Continual learning aims to efficiently learn from a non-stationary stream of data while avoiding forgetting the knowledge of old data. In many practical applications, data complies…

cs.CV20235 cited

Meta-causal Learning for Single Domain Generalization

Jin Chen, Zhi Gao, Xinxiao Wu +1

Single domain generalization aims to learn a model from a single training domain (source domain) and apply it to multiple unseen test domains (target domains). Existing methods foc…

cs.CV20231 cited

SyreaNet: A Physically Guided Underwater Image Enhancement Framework Integrating Synthetic and Real Images

Junjie Wen, Jinqiang Cui, Zhenjun Zhao +4

Underwater image enhancement (UIE) is vital for high-level vision-related underwater tasks. Although learning-based UIE methods have made remarkable achievements in recent years, i…

cs.CV20171 cited

Real-Time Optical flow-based Video Stabilization for Unmanned Aerial Vehicles

Anli Lim, Bharath Ramesh, Yue Yang +3

This paper describes the development of a novel algorithm to tackle the problem of real-time video stabilization for unmanned aerial vehicles (UAVs). There are two main components…