Search Results for author: Xiaolin Song

Found 10 papers, 2 papers with code

Optimal Proposal Learning for Deployable End-to-End Pedestrian Detection

no code implementations CVPR 2023 Xiaolin Song, Binghui Chen, Pengyu Li, Jun-Yan He, Biao Wang, Yifeng Geng, Xuansong Xie, Honggang Zhang

End-to-end pedestrian detection focuses on training a pedestrian detection model via discarding the Non-Maximum Suppression (NMS) post-processing.

Pedestrian Detection

Predicted Trajectory Guidance Control Framework of Teleoperated Ground Vehicles Compensating for Delays

no code implementations6 Dec 2022 Qiang Zhang, Zhouli Xu, Yihang Wang, Lingfang Yang, Xiaolin Song, Zhi Huang

Maneuverability and drivability of the teleoperated ground vehicle could be seriously degraded by large communication delays if the delays are not properly compensated.

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

no code implementations9 Apr 2022 Yueming Zhang, Xingxu Yao, Chao Liu, Feng Chen, Xiaolin Song, Tengfei Xing, Runbo Hu, Hua Chai, Pengfei Xu, Guoshan Zhang

In this paper, we design a dynamic self-adaptive threshold (DSAT) strategy in classification branch, which can automatically select pseudo labels to achieve an optimal trade-off between quality and quantity.

Object object-detection +3

2nd Place Solution for VisDA 2021 Challenge -- Universally Domain Adaptive Image Recognition

no code implementations27 Oct 2021 Haojin Liao, Xiaolin Song, Sicheng Zhao, Shanghang Zhang, Xiangyu Yue, Xingxu Yao, Yueming Zhang, Tengfei Xing, Pengfei Xu, Qiang Wang

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 between the source and target domains.

Universal Domain Adaptation Unsupervised Domain Adaptation

STC-Flow: Spatio-temporal Context-aware Optical Flow Estimation

no code implementations1 Mar 2020 Xiaolin Song, Yuyang Zhao, Jingyu Yang

In this paper, we propose a spatio-temporal contextual network, STC-Flow, for optical flow estimation.

Optical Flow Estimation

FPCR-Net: Feature Pyramidal Correlation and Residual Reconstruction for Optical Flow Estimation

no code implementations17 Jan 2020 Xiaolin Song, Yuyang Zhao, Jingyu Yang, Cuiling Lan, Wenjun Zeng

To exploit such flexible and comprehensive information, we propose a semi-supervised Feature Pyramidal Correlation and Residual Reconstruction Network (FPCR-Net) for optical flow estimation from frame pairs.

Optical Flow Estimation

Temporal-Spatial Mapping for Action Recognition

no code implementations11 Sep 2018 Xiaolin Song, Cuiling Lan, Wen-Jun Zeng, Junliang Xing, Jingyu Yang, Xiaoyan Sun

We propose a video level 2D feature representation by transforming the convolutional features of all frames to a 2D feature map, referred to as VideoMap.

Action Recognition Image Classification +3

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