activity
20192024
most citedMulti-source Domain Adaptation for Semantic Segmentation

80 citations · 96 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2024

LDTR: Transformer-based Lane Detection with Anchor-chain Representation

Zhongyu Yang, Chen Shen, Wei Shao +5

Despite recent advances in lane detection methods, scenarios with limited- or no-visual-clue of lanes due to factors such as lighting conditions and occlusion remain challenging an…

cs.CV2023

CANet: Curved Guide Line Network with Adaptive Decoder for Lane Detection

Zhongyu Yang, Chen Shen, Wei Shao +5

Lane detection is challenging due to the complicated on road scenarios and line deformation from different camera perspectives. Lots of solutions were proposed, but can not deal wi…

cs.CV2022★ 4 cited

S4OD: Semi-Supervised learning for Single-Stage Object Detection

Yueming Zhang, Xingxu Yao, Chao Liu +7

Single-stage detectors suffer from extreme foreground-background class imbalance, while two-stage detectors do not. Therefore, in semi-supervised object detection, two-stage detect…

cs.CV2020★ 2 cited

An End-to-End Visual-Audio Attention Network for Emotion Recognition in User-Generated Videos

Sicheng Zhao, Yunsheng Ma, Yang Gu +6

Emotion recognition in user-generated videos plays an important role in human-centered computing. Existing methods mainly employ traditional two-stage shallow pipeline, i.e. extrac…

cs.LG2019★ 7 cited

Multi-source Distilling Domain Adaptation

Sicheng Zhao, Guangzhi Wang, Shanghang Zhang +7

Deep neural networks suffer from performance decay when there is domain shift between the labeled source domain and unlabeled target domain, which motivates the research on domain…

cs.CV2019★ 80 cited

Multi-source Domain Adaptation for Semantic Segmentation

Sicheng Zhao, Bo Li, Xiangyu Yue +5

Simulation-to-real domain adaptation for semantic segmentation has been actively studied for various applications such as autonomous driving. Existing methods mainly focus on a sin…

cs.CV2019★ 3 cited

ROAM: Recurrently Optimizing Tracking Model

Tianyu Yang, Pengfei Xu, Runbo Hu +2

In this paper, we design a tracking model consisting of response generation and bounding box regression, where the first component produces a heat map to indicate the presence of t…

cs.IR2019

POI Semantic Model with a Deep Convolutional Structure

Ji Zhao, Meiyu Yu, Huan Chen +6

When using the electronic map, POI retrieval is the initial and important step, whose quality directly affects the user experience. Similarity between user query and POI informatio…