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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...
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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 ...
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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...
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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...
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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...
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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 ...
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11/19/2021
Semi-Supervised Domain Generalization in Real World:New Benchmark and Strong Baseline
Conventional domain generalization aims to learn domain invariant repres...
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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...
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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...
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12/18/2020
Crowd-Driven Mapping, Localization and Planning
Navigation in dense crowds is a well-known open problem in robotics with...
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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...
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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...
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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...
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06/14/2020
Recurrent Distillation based Crowd Counting
In recent years, with the progress of deep learning technologies, crowd ...
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06/09/2020
Over-crowdedness Alert! Forecasting the Future Crowd Distribution
In recent years, vision-based crowd analysis has been studied extensivel...
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10/22/2019
Learning Resilient Behaviors for Navigation Under Uncertainty Environments
Deep reinforcement learning has great potential to acquire complex, adap...
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07/22/2019
Visualizing the Invisible: Occluded Vehicle Segmentation and Recovery
In this paper, we propose a novel iterative multi-task framework to comp...
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02/12/2019
Enhancement Mask for Hippocampus Detection and Segmentation
Detection and segmentation of the hippocampal structures in volumetric b...
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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...
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09/27/2018
Deformable Object Tracking with Gated Fusion
The tracking-by-detection framework receives growing attentions through ...
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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...
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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...
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09/28/2017
Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning
Developing a safe and efficient collision avoidance policy for multiple ...
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09/22/2016
Deep-Learned Collision Avoidance Policy for Distributed Multi-Agent Navigation
High-speed, low-latency obstacle avoidance that is insensitive to sensor...
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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...
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02/10/2014
