b'Xinge Zhu'

research

∙ 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...

0 Jingyu Zhang, et al. ∙

research

∙ 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 ...

0 Youquan Liu, et al. ∙

research

∙ 08/08/2023

PARTNER: Level up the Polar Representation for LiDAR 3D Object Detection

Recently, polar-based representation has shown promising properties in p...

0 Ming Nie, et al. ∙

research

∙ 07/26/2023

Human-centric Scene Understanding for 3D Large-scale Scenarios

Human-centric scene understanding is significant for real-world applicat...

0 Yiteng Xu, et al. ∙

research

∙ 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...

0 Yuhang Lu, et al. ∙

research

∙ 06/06/2023

Towards Label-free Scene Understanding by Vision Foundation Models

Vision foundation models such as Contrastive Vision-Language Pre-trainin...

0 Runnan Chen, et al. ∙

research

∙ 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...

0 Xiangze Jia, et al. ∙

research

∙ 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...

0 Huitong Yang, et al. ∙

research

∙ 03/13/2023

SCPNet: Semantic Scene Completion on Point Cloud

Training deep models for semantic scene completion (SSC) is challenging ...

0 Zhaoyang Xia, et al. ∙

research

∙ 03/09/2023

Rethinking Range View Representation for LiDAR Segmentation

LiDAR segmentation is crucial for autonomous driving perception. Recent ...

0 Lingdong Kong, et al. ∙

research

∙ 01/12/2023

CLIP2Scene: Towards Label-efficient 3D Scene Understanding by CLIP

Contrastive language-image pre-training (CLIP) achieves promising result...

0 Runnan Chen, et al. ∙

research

∙ 12/01/2022

CL3D: Unsupervised Domain Adaptation for Cross-LiDAR 3D Detection

Domain adaptation for Cross-LiDAR 3D detection is challenging due to the...

0 Xidong Peng, et al. ∙

research

∙ 10/18/2022

Zero-shot Point Cloud Segmentation by Transferring Geometric Primitives

We investigate transductive zero-shot point cloud semantic segmentation ...

0 Runnan Chen, et al. ∙

research

∙ 10/17/2022

Rethinking Trajectory Prediction via "Team Game"

To accurately predict trajectories in multi-agent settings, e.g. team ga...

1 Zikai Wei, et al. ∙

research

∙ 09/20/2022

GANet: Goal Area Network for Motion Forecasting

Predicting the future motion of road participants is crucial for autonom...

0 Mingkun Wang, et al. ∙

research

∙ 08/04/2022

Vision-Centric BEV Perception: A Survey

Vision-centric BEV perception has recently received increased attention ...

10 Yuexin Ma, et al. ∙

research

∙ 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...

3 Tai Wang, et al. ∙

research

∙ 06/05/2022

Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation

This article addresses the problem of distilling knowledge from a large ...

0 Yuenan Hou, et al. ∙

research

∙ 04/03/2022

STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes

Accurately detecting and tracking pedestrians in 3D space is challenging...

13 Peishan Cong, et al. ∙

research

∙ 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...

0 Xuyang Bai, et al. ∙

research

∙ 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...

0 Yiming Ren, et al. ∙

research

∙ 03/20/2022

Towards 3D Scene Understanding by Referring Synthetic Models

Promising performance has been achieved for visual perception on the poi...

0 Runnan Chen, et al. ∙

research

∙ 03/14/2022

LiDAR-based 4D Panoptic Segmentation via Dynamic Shifting Network

With the rapid advances of autonomous driving, it becomes critical to eq...

0 Fangzhou Hong, et al. ∙

research

∙ 12/09/2021

AdaStereo: An Efficient Domain-Adaptive Stereo Matching Approach

Recently, records on stereo matching benchmarks are constantly broken by...

1 Xiao Song, et al. ∙

research

∙ 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...

0 Xinge Zhu, et al. ∙

research

∙ 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 ...

0 Xidong Peng, et al. ∙

research

∙ 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 ...

0 Lin Zhao, et al. ∙

research

∙ 07/29/2021

Probabilistic and Geometric Depth: Detecting Objects in Perspective

3D object detection is an important capability needed in various practic...

9 Tai Wang, et al. ∙

research

∙ 04/22/2021

FCOS3D: Fully Convolutional One-Stage Monocular 3D Object Detection

Monocular 3D object detection is an important task for autonomous drivin...

0 Tai Wang, et al. ∙

research

∙ 03/26/2021

Input-Output Balanced Framework for Long-tailed LiDAR Semantic Segmentation

A thorough and holistic scene understanding is crucial for autonomous ve...

0 Peishan Cong, et al. ∙

research

∙ 11/24/2020

LiDAR-based Panoptic Segmentation via Dynamic Shifting Network

With the rapid advances of autonomous driving, it becomes critical to eq...

3 Fangzhou Hong, et al. ∙

research

∙ 11/19/2020

Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation

State-of-the-art methods for large-scale driving-scene LiDAR segmentatio...

0 Xinge Zhu, et al. ∙

research

∙ 10/19/2020

SelfVoxeLO: Self-supervised LiDAR Odometry with Voxel-based Deep Neural Networks

Recent learning-based LiDAR odometry methods have demonstrated their com...

1 Yan Xu, et al. ∙

research

∙ 09/07/2020

Channel-wise Alignment for Adaptive Object Detection

Generic object detection has been immensely promoted by the development ...

0 Hang Yang, et al. ∙

research

∙ 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...

8 Hui Zhou, et al. ∙

research

∙ 08/02/2020

Tensor Low-Rank Reconstruction for Semantic Segmentation

Context information plays an indispensable role in the success of semant...

0 Wanli Chen, et al. ∙

research

∙ 07/11/2020

AutoTrajectory: Label-free Trajectory Extraction and Prediction from Videos using Dynamic Points

Current methods for trajectory prediction operate in supervised manners,...

0 Yuexin Ma, et al. ∙

research

∙ 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...

2 Xiao Song, et al. ∙

research

∙ 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...

0 Xinge Zhu, et al. ∙

research

∙ 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...

0 Tai Wang, et al. ∙

research

∙ 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...

27 Yan Xu, et al. ∙

research

∙ 11/06/2018

TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents

To safely and efficiently navigate in complex urban traffic, autonomous ...

4 Yuexin Ma, et al. ∙

research

∙ 09/04/2018

Penalizing Top Performers: Conservative Loss for Semantic Segmentation Adaptation

Due to the expensive and time-consuming annotations (e.g., segmentation)...

0 Xinge Zhu, et al. ∙

research

∙ 08/01/2018

Generative Adversarial Frontal View to Bird View Synthesis

Environment perception is an important task with great practical value a...

0 Xinge Zhu, et al. ∙

research

∙ 07/30/2018

Pose Guided Human Video Generation

Due to the emergence of Generative Adversarial Networks, video synthesis...

0 Ceyuan Yang, et al. ∙

Xinge Zhu

Featured Co-authors