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09/20/2023
PPD: A New Valet Parking Pedestrian Fisheye Dataset for Autonomous Driving
Pedestrian detection under valet parking scenarios is fundamental for au...
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06/19/2023
Understanding Depth Map Progressively: Adaptive Distance Interval Separation for Monocular 3d Object Detection
Monocular 3D object detection aims to locate objects in different scenes...
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05/12/2023
Learning Monocular Depth in Dynamic Environment via Context-aware Temporal Attention
The monocular depth estimation task has recently revealed encouraging pr...
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04/28/2023
Multi-to-Single Knowledge Distillation for Point Cloud Semantic Segmentation
3D point cloud semantic segmentation is one of the fundamental tasks for...
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04/22/2023
Knowledge Distillation from 3D to Bird's-Eye-View for LiDAR Semantic Segmentation
LiDAR point cloud segmentation is one of the most fundamental tasks for ...
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02/25/2023
SUPS: A Simulated Underground Parking Scenario Dataset for Autonomous Driving
Automatic underground parking has attracted considerable attention as th...
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11/30/2022
Attention-based Depth Distillation with 3D-Aware Positional Encoding for Monocular 3D Object Detection
Monocular 3D object detection is a low-cost but challenging task, as it ...
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11/21/2022
From Node Interaction to Hop Interaction: New Effective and Scalable Graph Learning Paradigm
Existing Graph Neural Networks (GNNs) follow the message-passing mechani...
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03/19/2022
Exploiting Neighbor Effect: Conv-Agnostic GNNs Framework for Graphs with Heterophily
Due to the homophily assumption of graph convolution networks, a common ...
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02/01/2022
Memory-based Message Passing: Decoupling the Message for Propogation from Discrimination
Message passing is a fundamental procedure for graph neural networks in ...
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03/27/2021
SelfGait: A Spatiotemporal Representation Learning Method for Self-supervised Gait Recognition
Gait recognition plays a vital role in human identification since gait i...
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02/27/2020
Exploration-efficient Deep Reinforcement Learning with Demonstration Guidance for Robot Control
Although deep reinforcement learning (DRL) algorithms have made importan...
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03/23/2019
Curve Text Detection with Local Segmentation Network and Curve Connection
Curve text or arbitrary shape text is very common in real-world scenario...
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06/26/2018
Crowd Counting with Density Adaption Networks
Crowd counting is one of the core tasks in various surveillance applicat...
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01/15/2018