Wenxi Liu

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Crowd-Driven Mapping, Localization and Planning

Navigation in dense crowds is a well-known open problem in robotics with...
12/18/2020 ∙ by Tingxiang Fan, et al. ∙ 0 ∙ share

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An Intelligent CNN-VAE Text Representation Technology Based on Text Semantics for Comprehensive Big Data

In the era of big data, a large number of text data generated by the Int...
08/28/2020 ∙ by Genggeng Liu, et al. ∙ 2 ∙ share

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Mapping in a cycle: Sinkhorn regularized unsupervised learning for point cloud shapes

We propose an unsupervised learning framework with the pretext task of f...
07/19/2020 ∙ by Lei Yang, et al. ∙ 26 ∙ share

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HDR-GAN: HDR Image Reconstruction from Multi-Exposed LDR Images with Large Motions

Synthesizing high dynamic range (HDR) images from multiple low-dynamic r...
07/03/2020 ∙ by Yuzhen Niu, et al. ∙ 0 ∙ share

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Recurrent Distillation based Crowd Counting

In recent years, with the progress of deep learning technologies, crowd ...
06/14/2020 ∙ by Yue Gu, et al. ∙ 0 ∙ share

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Over-crowdedness Alert! Forecasting the Future Crowd Distribution

In recent years, vision-based crowd analysis has been studied extensivel...
06/09/2020 ∙ by Yuzhen Niu, et al. ∙ 0 ∙ share

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Learning Resilient Behaviors for Navigation Under Uncertainty Environments

Deep reinforcement learning has great potential to acquire complex, adap...
10/22/2019 ∙ by Tingxiang Fan, et al. ∙ 9 ∙ share

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Visualizing the Invisible: Occluded Vehicle Segmentation and Recovery

In this paper, we propose a novel iterative multi-task framework to comp...
07/22/2019 ∙ by Xiaosheng Yan, et al. ∙ 5 ∙ share

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Enhancement Mask for Hippocampus Detection and Segmentation

Detection and segmentation of the hippocampal structures in volumetric b...
02/12/2019 ∙ by Dengsheng Chen, et al. ∙ 0 ∙ share

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Getting Robots Unfrozen and Unlost in Dense Pedestrian Crowds

We aim to enable a mobile robot to navigate through environments with de...
09/30/2018 ∙ by Tingxiang Fan, et al. ∙ 0 ∙ share

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Deformable Object Tracking with Gated Fusion

The tracking-by-detection framework receives growing attentions through ...
09/27/2018 ∙ by Wenxi Liu, et al. ∙ 4 ∙ share

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An Intelligent Extraversion Analysis Scheme from Crowd Trajectories for Surveillance

In recent years, crowd analysis is important for applications such as sm...
09/27/2018 ∙ by Wenxi Liu, et al. ∙ 0 ∙ share

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Fully Distributed Multi-Robot Collision Avoidance via Deep Reinforcement Learning for Safe and Efficient Navigation in Complex Scenarios

In this paper, we present a decentralized sensor-level collision avoidan...
08/11/2018 ∙ by Tingxiang Fan, et al. ∙ 0 ∙ share

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Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning

Developing a safe and efficient collision avoidance policy for multiple ...
09/28/2017 ∙ by Pinxin Long, et al. ∙ 0 ∙ share

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Deep-Learned Collision Avoidance Policy for Distributed Multi-Agent Navigation

High-speed, low-latency obstacle avoidance that is insensitive to sensor...
09/22/2016 ∙ by Pinxin Long, et al. ∙ 0 ∙ share

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Exemplar-AMMs: Recognizing Crowd Movements from Pedestrian Trajectories

In this paper, we present a novel method to recognize the types of crowd...
03/31/2016 ∙ by Wenxi Liu, et al. ∙ 0 ∙ share

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Leveraging Long-Term Predictions and Online-Learning in Agent-based Multiple Person Tracking

We present a multiple-person tracking algorithm, based on combining part...
02/10/2014 ∙ by Wenxi Liu, et al. ∙ 0 ∙ share

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Wenxi Liu

Featured Co-authors

Xiaogang Wang

Dinesh Manocha

Hao Zhang

Ruigang Yang

Lei Yang

Jia Pan

Wenping Wang

Antoni B. Chan

Yibing Song

Rynson W. H. Lau

Shengfeng He

Crowd-Driven Mapping, Localization and Planning

An Intelligent CNN-VAE Text Representation Technology Based on Text Semantics for Comprehensive Big Data

Mapping in a cycle: Sinkhorn regularized unsupervised learning for point cloud shapes

HDR-GAN: HDR Image Reconstruction from Multi-Exposed LDR Images with Large Motions

Recurrent Distillation based Crowd Counting

Over-crowdedness Alert! Forecasting the Future Crowd Distribution

Learning Resilient Behaviors for Navigation Under Uncertainty Environments

Visualizing the Invisible: Occluded Vehicle Segmentation and Recovery

Enhancement Mask for Hippocampus Detection and Segmentation

Getting Robots Unfrozen and Unlost in Dense Pedestrian Crowds

Deformable Object Tracking with Gated Fusion

An Intelligent Extraversion Analysis Scheme from Crowd Trajectories for Surveillance

Fully Distributed Multi-Robot Collision Avoidance via Deep Reinforcement Learning for Safe and Efficient Navigation in Complex Scenarios

Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning

Deep-Learned Collision Avoidance Policy for Distributed Multi-Agent Navigation

Exemplar-AMMs: Recognizing Crowd Movements from Pedestrian Trajectories

Leveraging Long-Term Predictions and Online-Learning in Agent-based Multiple Person Tracking