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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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08/08/2023
PARTNER: Level up the Polar Representation for LiDAR 3D Object Detection
Recently, polar-based representation has shown promising properties in p...
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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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03/13/2023
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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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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10/17/2022
Rethinking Trajectory Prediction via "Team Game"
To accurately predict trajectories in multi-agent settings, e.g. team ga...
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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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07/26/2022
MV-FCOS3D++: Multi-View Camera-Only 4D Object Detection with Pretrained Monocular Backbones
In this technical report, we present our solution, dubbed MV-FCOS3D++, f...
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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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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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03/22/2022
TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers
LiDAR and camera are two important sensors for 3D object detection in au...
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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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03/14/2022
LiDAR-based 4D Panoptic Segmentation via Dynamic Shifting Network
With the rapid advances of autonomous driving, it becomes critical to eq...
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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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08/17/2021
LIF-Seg: LiDAR and Camera Image Fusion for 3D LiDAR Semantic Segmentation
Camera and 3D LiDAR sensors have become indispensable devices in modern ...
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07/29/2021
Probabilistic and Geometric Depth: Detecting Objects in Perspective
3D object detection is an important capability needed in various practic...
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04/22/2021
FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection
Monocular 3D object detection is an important task for autonomous drivin...
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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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11/24/2020
LiDAR-based Panoptic Segmentation via Dynamic Shifting Network
With the rapid advances of autonomous driving, it becomes critical to eq...
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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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10/19/2020
SelfVoxeLO: Self-supervised LiDAR Odometry with Voxel-based Deep Neural Networks
Recent learning-based LiDAR odometry methods have demonstrated their com...
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09/07/2020
Channel-wise Alignment for Adaptive Object Detection
Generic object detection has been immensely promoted by the development ...
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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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08/02/2020
Tensor Low-Rank Reconstruction for Semantic Segmentation
Context information plays an indispensable role in the success of semant...
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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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04/09/2020
AdaStereo: A Simple and Efficient Approach for Adaptive Stereo Matching
In this paper, we attempt to solve the domain adaptation problem for dee...
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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
Reconfigurable Voxels: A New Representation for LiDAR-Based Point Clouds
LiDAR is an important method for autonomous driving systems to sense the...
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10/15/2019
Depth Completion from Sparse LiDAR Data with Depth-Normal Constraints
Depth completion aims to recover dense depth maps from sparse depth meas...
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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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09/04/2018
Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation
Due to the expensive and time-consuming annotations (e.g., segmentation)...
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08/01/2018
Generative Adversarial Frontal View to Bird View Synthesis
Environment perception is an important task with great practical value a...
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07/30/2018