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09/19/2023
Cross-modal and Cross-domain Knowledge Transfer for Label-free 3D Segmentation
Current state-of-the-art point cloud-based perception methods usually re...
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09/11/2023
UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg Codebase
Point-, voxel-, and range-views are three representative forms of point ...
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07/26/2023
Human-centric Scene Understanding for 3D Large-scale Scenarios
Human-centric scene understanding is significant for real-world applicat...
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07/20/2023
See More and Know More: Zero-shot Point Cloud Segmentation via Multi-modal Visual Data
Zero-shot point cloud segmentation aims to make deep models capable of r...
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06/06/2023
Towards Label-free Scene Understanding by Vision Foundation Models
Vision foundation models such as Contrastive Vision-Language Pre-trainin...
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04/25/2023
ContrastMotion: Self-supervised Scene Motion Learning for Large-Scale LiDAR Point Clouds
In this paper, we propose a novel self-supervised motion estimator for L...
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04/02/2023
One Training for Multiple Deployments: Polar-based Adaptive BEV Perception for Autonomous Driving
Current on-board chips usually have different computing power, which mea...
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03/31/2023
CIMI4D: A Large Multimodal Climbing Motion Dataset under Human-scene Interactions
Motion capture is a long-standing research problem. Although it has been...
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03/16/2023
SLOPER4D: A Scene-Aware Dataset for Global 4D Human Pose Estimation in Urban Environments
We present SLOPER4D, a novel scene-aware dataset collected in large urba...
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03/13/2023
SCPNet: Semantic Scene Completion on Point Cloud
Training deep models for semantic scene completion (SSC) is challenging ...
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03/09/2023
Rethinking Range View Representation for LiDAR Segmentation
LiDAR segmentation is crucial for autonomous driving perception. Recent ...
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01/12/2023
CLIP2Scene: Towards Label-efficient 3D Scene Understanding by CLIP
Contrastive language-image pre-training (CLIP) achieves promising result...
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12/01/2022
CL3D: Unsupervised Domain Adaptation for Cross-LiDAR 3D Detection
Domain adaptation for Cross-LiDAR 3D detection is challenging due to the...
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11/30/2022
Weakly Supervised 3D Multi-person Pose Estimation for Large-scale Scenes based on Monocular Camera and Single LiDAR
Depth estimation is usually ill-posed and ambiguous for monocular camera...
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11/22/2022
LiCamGait: Gait Recognition in the Wild by Using LiDAR and Camera Multi-modal Visual Sensors
LiDAR can capture accurate depth information in large-scale scenarios wi...
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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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10/18/2022
Zero-shot Point Cloud Segmentation by Transferring Geometric Primitives
We investigate transductive zero-shot point cloud semantic segmentation ...
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09/20/2022
GANet: Goal Area Network for Motion Forecasting
Predicting the future motion of road participants is crucial for autonom...
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08/04/2022
Vision-Centric BEV Perception: A Survey
Vision-centric BEV perception has recently received increased attention ...
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06/05/2022
Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation
This article addresses the problem of distilling knowledge from a large ...
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05/30/2022
LiDAR-aid Inertial Poser: Large-scale Human Motion Capture by Sparse Inertial and LiDAR Sensors
We propose a multi-sensor fusion method for capturing challenging 3D hum...
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04/03/2022
STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes
Accurately detecting and tracking pedestrians in 3D space is challenging...
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03/28/2022
LiDARCap: Long-range Marker-less 3D Human Motion Capture with LiDAR Point Clouds
Existing motion capture datasets are largely short-range and cannot yet ...
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03/20/2022
Self-supervised Point Cloud Completion on Real Traffic Scenes via Scene-concerned Bottom-up Mechanism
Real scans always miss partial geometries of objects due to the self-occ...
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03/20/2022
Towards 3D Scene Understanding by Referring Synthetic Models
Promising performance has been achieved for visual perception on the poi...
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03/17/2022
HSC4D: Human-centered 4D Scene Capture in Large-scale Indoor-outdoor Space Using Wearable IMUs and LiDAR
We propose Human-centered 4D Scene Capture (HSC4D) to accurately and eff...
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02/09/2022
NIMBLE: A Non-rigid Hand Model with Bones and Muscles
Emerging Metaverse applications demand reliable, accurate, and photoreal...
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12/09/2021
AdaStereo: An Efficient Domain-Adaptive Stereo Matching Approach
Recently, records on stereo matching benchmarks are constantly broken by...
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09/12/2021
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-based Perception
State-of-the-art methods for driving-scene LiDAR-based perception (inclu...
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08/22/2021
SIDE: Center-based Stereo 3D Detector with Structure-aware Instance Depth Estimation
3D detection plays an indispensable role in environment perception. Due ...
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07/21/2021
Structure-Aware Long Short-Term Memory Network for 3D Cephalometric Landmark Detection
Detecting 3D landmarks on cone-beam computed tomography (CBCT) is crucia...
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05/28/2021
Semi-supervised Anatomical Landmark Detection via Shape-regulated Self-training
Well-annotated medical images are costly and sometimes even impossible t...
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04/23/2021
SportsCap: Monocular 3D Human Motion Capture and Fine-grained Understanding in Challenging Sports Videos
Markerless motion capture and understanding of professional non-daily hu...
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03/26/2021
Input-Output Balanced Framework for Long-tailed LiDAR Semantic Segmentation
A thorough and holistic scene understanding is crucial for autonomous ve...
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03/11/2021
ChallenCap: Monocular 3D Capture of Challenging Human Performances using Multi-Modal References
Capturing challenging human motions is critical for numerous application...
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11/19/2020
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation
State-of-the-art methods for large-scale driving-scene LiDAR segmentatio...
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08/04/2020
Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation
State-of-the-art methods for large-scale driving-scene LiDAR semantic se...
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07/11/2020
AutoTrajectory: Label-free Trajectory Extraction and Prediction from Videos using Dynamic Points
Current methods for trajectory prediction operate in supervised manners,...
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04/06/2020
SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds
Multi-class 3D object detection aims to localize and classify objects of...
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04/06/2020
CVPR 2019 WAD Challenge on Trajectory Prediction and 3D Perception
This paper reviews the CVPR 2019 challenge on Autonomous Driving. Baidu'...
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11/27/2019
Decision Propagation Networks for Image Classification
High-level (e.g., semantic) features encoded in the latter layers of con...
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08/23/2019
Cephalometric Landmark Detection by AttentiveFeature Pyramid Fusion and Regression-Voting
Marking anatomical landmarks in cephalometric radiography is a critical ...
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01/23/2019
AADS: Augmented Autonomous Driving Simulation using Data-driven Algorithms
Simulation systems have become an essential component in the development...
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11/06/2018
TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents
To safely and efficiently navigate in complex urban traffic, autonomous ...
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04/09/2018
AutoRVO: Local Navigation with Dynamic Constraints in Dense Heterogeneous Traffic
We present a novel algorithm for computing collision-free navigation for...
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04/07/2018