Wenxi Liu | DeepAI

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Dinesh Manocha
230 publications
Xiaogang Wang
191 publications
Xin Yang
157 publications
Lei Yang
117 publications
Qi Li
109 publications
Wenping Wang
92 publications
Meng Li
82 publications
Jing Qin
75 publications
Jia Pan
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Yang Zhou
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Hao Zhang
58 publications

∙ 05/25/2023

Frame-Event Alignment and Fusion Network for High Frame Rate Tracking

Most existing RGB-based trackers target low frame rate benchmarks of aro...

0 Jiqing Zhang, et al. ∙

∙ 04/19/2023

Single-View View Synthesis with Self-Rectified Pseudo-Stereo

Synthesizing novel views from a single view image is a highly ill-posed ...

0 Yang Zhou, et al. ∙

∙ 11/15/2022

Monocular BEV Perception of Road Scenes via Front-to-Top View Projection

HD map reconstruction is crucial for autonomous driving. LiDAR-based met...

0 Wenxi Liu, et al. ∙

∙ 09/01/2022

Monocular Camera-based Complex Obstacle Avoidance via Efficient Deep Reinforcement Learning

Deep reinforcement learning has achieved great success in laser-based co...

0 Jianchuan Ding, et al. ∙

∙ 05/29/2022

Glance to Count: Learning to Rank with Anchors for Weakly-supervised Crowd Counting

Crowd image is arguably one of the most laborious data to annotate. In t...

0 Zheng Xiong, et al. ∙

∙ 03/31/2022

End-to-End Trajectory Distribution Prediction Based on Occupancy Grid Maps

In this paper, we aim to forecast a future trajectory distribution of a ...

6 Ke Guo, et al. ∙

∙ 11/19/2021

Semi-Supervised Domain Generalization in Real World:New Benchmark and Strong Baseline

Conventional domain generalization aims to learn domain invariant repres...

0 Luojun Lin, et al. ∙

∙ 09/06/2021

From Contexts to Locality: Ultra-high Resolution Image Segmentation via Locality-aware Contextual Correlation

Ultra-high resolution image segmentation has raised increasing interests...

10 Qi Li, et al. ∙

∙ 08/16/2021

A Vision-based Irregular Obstacle Avoidance Framework via Deep Reinforcement Learning

Deep reinforcement learning has achieved great success in laser-based co...

0 Lingping Gao, et al. ∙

∙ 12/18/2020

Crowd-Driven Mapping, Localization and Planning

Navigation in dense crowds is a well-known open problem in robotics with...

0 Tingxiang Fan, et al. ∙

∙ 08/28/2020

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...

2 Genggeng Liu, et al. ∙

∙ 07/19/2020

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

We propose an unsupervised learning framework with the pretext task of f...

26 Lei Yang, et al. ∙

∙ 07/03/2020

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

Synthesizing high dynamic range (HDR) images from multiple low-dynamic r...

0 Yuzhen Niu, et al. ∙

∙ 06/14/2020

Recurrent Distillation based Crowd Counting

In recent years, with the progress of deep learning technologies, crowd ...

0 Yue Gu, et al. ∙

∙ 06/09/2020

Over-crowdedness Alert! Forecasting the Future Crowd Distribution

In recent years, vision-based crowd analysis has been studied extensivel...

0 Yuzhen Niu, et al. ∙

∙ 10/22/2019

Learning Resilient Behaviors for Navigation Under Uncertainty Environments

Deep reinforcement learning has great potential to acquire complex, adap...

9 Tingxiang Fan, et al. ∙

∙ 07/22/2019

Visualizing the Invisible: Occluded Vehicle Segmentation and Recovery

In this paper, we propose a novel iterative multi-task framework to comp...

5 Xiaosheng Yan, et al. ∙

∙ 02/12/2019

Enhancement Mask for Hippocampus Detection and Segmentation

Detection and segmentation of the hippocampal structures in volumetric b...

0 Dengsheng Chen, et al. ∙

∙ 09/30/2018

Getting Robots Unfrozen and Unlost in Dense Pedestrian Crowds

We aim to enable a mobile robot to navigate through environments with de...

0 Tingxiang Fan, et al. ∙

∙ 09/27/2018

Deformable Object Tracking with Gated Fusion

The tracking-by-detection framework receives growing attentions through ...

4 Wenxi Liu, et al. ∙

∙ 09/27/2018

An Intelligent Extraversion Analysis Scheme from Crowd Trajectories for Surveillance

In recent years, crowd analysis is important for applications such as sm...

0 Wenxi Liu, et al. ∙

∙ 08/11/2018

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...

0 Tingxiang Fan, et al. ∙

∙ 09/28/2017

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

Developing a safe and efficient collision avoidance policy for multiple ...

0 Pinxin Long, et al. ∙

∙ 09/22/2016

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

High-speed, low-latency obstacle avoidance that is insensitive to sensor...

0 Pinxin Long, et al. ∙

∙ 03/31/2016

Exemplar-AMMs: Recognizing Crowd Movements from Pedestrian Trajectories

In this paper, we present a novel method to recognize the types of crowd...

0 Wenxi Liu, et al. ∙

∙ 02/10/2014

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

We present a multiple-person tracking algorithm, based on combining part...

0 Wenxi Liu, et al. ∙

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