Search Results for author: Yuxuan Liu

Found 14 papers, 5 papers with code

csBoundary: City-scale Road-boundary Detection in Aerial Images for High-definition Maps

no code implementations11 Nov 2021 Zhenhua Xu, Yuxuan Liu, Lu Gan, Xiangcheng Hu, Yuxiang Sun, Lujia Wang, Ming Liu

To provide a solution to the aforementioned problems, in this letter, we propose a novel system termed csBoundary to automatically detect road boundaries at the city scale for HD map annotation.

Autonomous Driving Boundary Detection +1

Unified Group Fairness on Federated Learning

no code implementations9 Nov 2021 Fengda Zhang, Kun Kuang, Yuxuan Liu, Chao Wu, Fei Wu, Jiaxun Lu, Yunfeng Shao, Jun Xiao

Specifically, we treat the performance of the federated global model at each group as an objective and employ the distributionally robust techniques to maximize the performance of the worst-performing group over an uncertainty set by group reweighting.

Fairness Federated Learning

Vision-Based Autonomous Car Racing Using Deep Imitative Reinforcement Learning

no code implementations18 Jul 2021 Peide Cai, Hengli Wang, Huaiyang Huang, Yuxuan Liu, Ming Liu

In this work, we present a general deep imitative reinforcement learning approach (DIRL), which successfully achieves agile autonomous racing using visual inputs.

Autonomous Driving Car Racing +1

YOLOStereo3D: A Step Back to 2D for Efficient Stereo 3D Detection

1 code implementation17 Mar 2021 Yuxuan Liu, Lujia Wang, Ming Liu

Object detection in 3D with stereo cameras is an important problem in computer vision, and is particularly crucial in low-cost autonomous mobile robots without LiDARs.

3D Object Detection Disparity Estimation +1

ATG-PVD: Ticketing Parking Violations on A Drone

no code implementations21 Aug 2020 Hengli Wang, Yuxuan Liu, Huaiyang Huang, Yuheng Pan, Wenbin Yu, Jialin Jiang, Dianbin Lyu, Mohammud J. Bocus, Ming Liu, Ioannis Pitas, Rui Fan

In this paper, we introduce a novel suspect-and-investigate framework, which can be easily embedded in a drone for automated parking violation detection (PVD).

Optical Flow Estimation

Difference Attention Based Error Correction LSTM Model for Time Series Prediction

no code implementations30 Mar 2020 Yuxuan Liu, Jiangyong Duan, Juan Meng

In this paper, we propose a novel model for time series prediction in which difference-attention LSTM model and error-correction LSTM model are respectively employed and combined in a cascade way.

Time Series Time Series Prediction

Learning to Drive from Simulation without Real World Labels

no code implementations10 Dec 2018 Alex Bewley, Jessica Rigley, Yuxuan Liu, Jeffrey Hawke, Richard Shen, Vinh-Dieu Lam, Alex Kendall

Simulation can be a powerful tool for understanding machine learning systems and designing methods to solve real-world problems.

Image-to-Image Translation Translation

Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation

1 code implementation11 Jul 2017 YuXuan Liu, Abhishek Gupta, Pieter Abbeel, Sergey Levine

Imitation learning is an effective approach for autonomous systems to acquire control policies when an explicit reward function is unavailable, using supervision provided as demonstrations from an expert, typically a human operator.

Imitation Learning Translation +1

Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning

no code implementations8 Mar 2017 Abhishek Gupta, Coline Devin, Yuxuan Liu, Pieter Abbeel, Sergey Levine

People can learn a wide range of tasks from their own experience, but can also learn from observing other creatures.

Transfer Learning

Building Program Vector Representations for Deep Learning

1 code implementation11 Sep 2014 Lili Mou, Ge Li, Yuxuan Liu, Hao Peng, Zhi Jin, Yan Xu, Lu Zhang

In this pioneering paper, we propose the "coding criterion" to build program vector representations, which are the premise of deep learning for program analysis.

Representation Learning

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