6 citations · 13 across the 6 of their papers we have counts for
6 papers
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…
STC-Flow: Spatio-temporal Context-aware Optical Flow Estimation
Xiaolin Song, Yuyang Zhao, Jingyu Yang
In this paper, we propose a spatio-temporal contextual network, STC-Flow, for optical flow estimation. Unlike previous optical flow estimation approaches with local pyramid feature…
FPCR-Net: Feature Pyramidal Correlation and Residual Reconstruction for Optical Flow Estimation
Xiaolin Song, Yuyang Zhao, Jingyu Yang +2
Optical flow estimation is an important yet challenging problem in the field of video analytics. The features of different semantics levels/layers of a convolutional neural network…
Temporal-Spatial Mapping for Action Recognition
Xiaolin Song, Cuiling Lan, Wenjun Zeng +3
Deep learning models have enjoyed great success for image related computer vision tasks like image classification and object detection. For video related tasks like human action re…