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08/10/2023
RLSAC: Reinforcement Learning enhanced Sample Consensus for End-to-End Robust Estimation
Robust estimation is a crucial and still challenging task, which involve...
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08/08/2023
DELFlow: Dense Efficient Learning of Scene Flow for Large-Scale Point Clouds
Point clouds are naturally sparse, while image pixels are dense. The inc...
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06/20/2023
End-to-end 2D-3D Registration between Image and LiDAR Point Cloud for Vehicle Localization
Robot localization using a previously built map is essential for a varie...
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04/24/2023
Efficient Robot Skill Learning with Imitation from a Single Video for Contact-Rich Fabric Manipulation
Classical policy search algorithms for robotics typically require perfor...
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03/22/2023
RegFormer: An Efficient Projection-Aware Transformer Network for Large-Scale Point Cloud Registration
Although point cloud registration has achieved remarkable advances in ob...
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09/27/2022
3D Scene Flow Estimation on Pseudo-LiDAR: Bridging the Gap on Estimating Point Motion
3D scene flow characterizes how the points at the current time flow to t...
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09/15/2022
FFPA-Net: Efficient Feature Fusion with Projection Awareness for 3D Object Detection
Promising complementarity exists between the texture features of color i...
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09/13/2022
A Dual-Arm Collaborative Framework for Dexterous Manipulation in Unstructured Environments with Contrastive Planning
Most object manipulation strategies for robots are based on the assumpti...
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09/11/2022
Unsupervised Learning of 3D Scene Flow with 3D Odometry Assistance
Scene flow represents the 3D motion of each point in the scene, which ex...
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09/04/2022
Pseudo-LiDAR for Visual Odometry
In the existing methods, LiDAR odometry shows superior performance, but ...
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07/19/2022
What Matters for 3D Scene Flow Network
3D scene flow estimation from point clouds is a low-level 3D motion perc...
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06/08/2022
Unsupervised Learning of 3D Scene Flow from Monocular Camera
Scene flow represents the motion of points in the 3D space, which is the...
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03/30/2022
Interactive Multi-scale Fusion of 2D and 3D Features for Multi-object Tracking
Multiple object tracking (MOT) is a significant task in achieving autono...
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03/04/2022
DetFlowTrack: 3D Multi-object Tracking based on Simultaneous Optimization of Object Detection and Scene Flow Estimation
3D Multi-Object Tracking (MOT) is an important part of the unmanned vehi...
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12/06/2021
3D Hierarchical Refinement and Augmentation for Unsupervised Learning of Depth and Pose from Monocular Video
Depth and ego-motion estimations are essential for the localization and ...
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11/03/2021
Efficient 3D Deep LiDAR Odometry
An efficient 3D point cloud learning architecture, named PWCLO-Net, for ...
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10/22/2021
Action Planning for Packing Long Linear Elastic Objects into Compact Boxes with Bimanual Robotic Manipulation
Automatic packing of objects is a critical component for efficient shipp...
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09/10/2021
Residual 3D Scene Flow Learning with Context-Aware Feature Extraction
Scene flow estimation is the task to predict the point-wise 3D displacem...
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07/08/2021
NccFlow: Unsupervised Learning of Optical Flow With Non-occlusion from Geometry
Optical flow estimation is a fundamental problem of computer vision and ...
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06/28/2021
Motion Projection Consistency Based 3D Human Pose Estimation with Virtual Bones from Monocular Videos
Real-time 3D human pose estimation is crucial for human-computer interac...
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04/01/2021
Unsupervised Learning of Monocular Depth and Ego-Motion Using Multiple Masks
A new unsupervised learning method of depth and ego-motion using multipl...
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12/20/2020
Anchor-Based Spatial-Temporal Attention Convolutional Networks for Dynamic 3D Point Cloud Sequences
Recently, learning based methods for the robot perception from the image...
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12/09/2020
vLPD-Net: A Registration-aided Domain Adaptation Network for 3D Point Cloud Based Place Recognition
In the field of large-scale SLAM for autonomous driving and mobile robot...
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12/02/2020
PWCLO-Net: Deep LiDAR Odometry in 3D Point Clouds Using Hierarchical Embedding Mask Optimization
A novel 3D point cloud learning model for deep LiDAR odometry, named PWC...
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11/30/2020
End-to-End 3D Point Cloud Learning for Registration Task Using Virtual Correspondences
3D Point cloud registration is still a very challenging topic due to the...
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11/27/2020
Spherical Interpolated Convolutional Network with Distance-Feature Density for 3D Semantic Segmentation of Point Clouds
The semantic segmentation of point clouds is an important part of the en...
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11/24/2020
Achieving Sample-Efficient and Online-Training-Safe Deep Reinforcement Learning with Base Controllers
Application of Deep Reinforcement Learning (DRL) algorithms in real-worl...
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11/09/2020
SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark under Multiple Environments
Monocular depth prediction has been well studied recently, while there a...
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10/12/2020
Hierarchical Attention Learning of Scene Flow in 3D Point Clouds
Scene flow represents the 3D motion of every point in the dynamic enviro...
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10/01/2020
DASGIL: Domain Adaptation for Semantic and Geometric-aware Image-based Localization
Long-Term visual localization under changing environments is a challengi...
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09/16/2020
Domain-invariant Similarity Activation Map Metric Learning for Retrieval-based Long-term Visual Localization
Visual localization is a crucial component in the application of mobile ...
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03/02/2020
Unsupervised Learning of Depth, Optical Flow and Pose with Occlusion from 3D Geometry
In autonomous driving, monocular sequences contain lots of information. ...
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09/23/2019
Retrieval-based Localization Based on Domain-invariant Feature Learning under Changing Environments
Visual localization is a crucial problem in mobile robotics and autonomo...
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09/10/2019
Learning Actions from Human Demonstration Video for Robotic Manipulation
Learning actions from human demonstration is an emerging trend for desig...
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04/30/2019
Loop-Closure Detection Based on 3D Point Cloud Learning for Self-Driving Industry Vehicles
Self-driving industry vehicle plays a key role in the industry automatio...
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04/28/2019
Real-time Trajectory Generation for Quadrotors using B-spline based Non-uniform Kinodynamic Search
In this paper, we propose a time-efficient approach to generate safe, sm...
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04/02/2019
Coordinating Large-Scale Robot Networks with Motion and Communication Uncertainties for Logistics Applications
In this paper, we focus on the problem of task allocation, cooperative p...
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12/11/2018