6 citations · 14 across the 7 of their papers we have counts for
7 papers
MapVision: CVPR 2024 Autonomous Grand Challenge Mapless Driving Tech Report
Zhongyu Yang, Mai Liu, Jinluo Xie +7
Autonomous driving without high-definition (HD) maps demands a higher level of active scene understanding. In this competition, the organizers provided the multi-perspective camera…
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…
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…
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…
3rd Place Solution for VisDA 2021 Challenge -- Universally Domain Adaptive Image Recognition
Haojin Liao, Xiaolin Song, Sicheng Zhao +7
The Visual Domain Adaptation (VisDA) 2021 Challenge calls for unsupervised domain adaptation (UDA) methods that can deal with both input distribution shift and label set variance b…
2nd Place Solution for Waymo Open Dataset Challenge -- Real-time 2D Object Detection
Yueming Zhang, Xiaolin Song, Bing Bai +8
In an autonomous driving system, it is essential to recognize vehicles, pedestrians and cyclists from images. Besides the high accuracy of the prediction, the requirement of real-t…
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…