activity
20192024
most citedCategory Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation

97 citations · 137 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV202428 cited

Unleashing the Power of Generic Segmentation Models: A Simple Baseline for Infrared Small Target Detection

Mingjin Zhang, Chi Zhang, Qiming Zhang +3

Recent advancements in deep learning have greatly advanced the field of infrared small object detection (IRSTD). Despite their remarkable success, a notable gap persists between th…

cs.CV202212 cited

1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results

Benjamin Kiefer, Matej Kristan, Janez Perš +70

The 1 Workshop on Maritime Computer Vision (MaCVi) 2023 focused on maritime computer vision for Unmanned Aerial Vehicles (UAV) and Unmanned Surface Vehicle (USV), and…

cs.CV2022

Rethinking Hierarchies in Pre-trained Plain Vision Transformer

Yufei Xu, Jing Zhang, Qiming Zhang +1

Self-supervised pre-training vision transformer (ViT) via masked image modeling (MIM) has been proven very effective. However, customized algorithms should be carefully designed fo…

cs.CV2019

Grapy-ML: Graph Pyramid Mutual Learning for Cross-dataset Human Parsing

Haoyu He, Jing Zhang, Qiming Zhang +1

Human parsing, or human body part semantic segmentation, has been an active research topic due to its wide potential applications. In this paper, we propose a novel GRAph PYramid M…

cs.CV201997 cited

Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation

Qiming Zhang, Jing Zhang, Wei Liu +1

Unsupervised domain adaptation (UDA) aims to enhance the generalization capability of a certain model from a source domain to a target domain. UDA is of particular significance sin…