Guang Chen

papers

908

total citations

papers (19)

Gen-LaneNet: A Generalized and Scalable Approach for 3D Lane Detection

ECCV 2020arXiv

140

citations

HRegNet: A Hierarchical Network for Large-Scale Outdoor LiDAR Point Cloud Registration

ICCV 2021arXiv

128

citations

Unsupervised Domain Adaptation for Nighttime Aerial Tracking

CVPR 2022arXiv

102

citations

Text With Knowledge Graph Augmented Transformer for Video Captioning

CVPR 2023arXiv

citations

BMD: A General Class-Balanced Multicentric Dynamic Prototype Strategy for Source-Free Domain Adaptation

ECCV 2022arXiv

citations

UMC: A Unified Bandwidth-efficient and Multi-resolution based Collaborative Perception Framework

ICCV 2023arXiv

citations

TMA: Temporal Motion Aggregation for Event-based Optical Flow

ICCV 2023arXiv

citations

LiDAR4D: Dynamic Neural Fields for Novel Space-time View LiDAR Synthesis

CVPR 2024arXiv

citations

Modality-Agnostic Debiasing for Single Domain Generalization

CVPR 2023arXiv

citations

NeuralPCI: Spatio-Temporal Neural Field for 3D Point Cloud Multi-Frame Non-Linear Interpolation

CVPR 2023arXiv

citations

HGL: Hierarchical Geometry Learning for Test-time Adaptation in 3D Point Cloud Segmentation

ECCV 2024arXiv

citations

MAP: MAsk-Pruning for Source-Free Model Intellectual Property Protection

CVPR 2024arXiv

citations

POCE: Primal Policy Optimization with Conservative Estimation for Multi-constraint Offline Reinforcement Learning

CVPR 2024

citations

RCP-Bench: Benchmarking Robustness for Collaborative Perception Under Diverse Corruptions

CVPR 2025

citations

VOCE: Variational Optimization with Conservative Estimation for Offline Safe Reinforcement Learning

NEURIPS 2023

citations

Guang Chen

papers (19)

Gen-LaneNet: A Generalized and Scalable Approach for 3D Lane Detection

HRegNet: A Hierarchical Network for Large-Scale Outdoor LiDAR Point Cloud Registration

Unsupervised Domain Adaptation for Nighttime Aerial Tracking

Text With Knowledge Graph Augmented Transformer for Video Captioning

BMD: A General Class-Balanced Multicentric Dynamic Prototype Strategy for Source-Free Domain Adaptation

Upcycling Models Under Domain and Category Shift

Urban Radiance Field Representation with Deformable Neural Mesh Primitives

LEAD: Learning Decomposition for Source-free Universal Domain Adaptation

RSKDD-Net: Random Sample-based Keypoint Detector and Descriptor

UMC: A Unified Bandwidth-efficient and Multi-resolution based Collaborative Perception Framework

TMA: Temporal Motion Aggregation for Event-based Optical Flow

LiDAR4D: Dynamic Neural Fields for Novel Space-time View LiDAR Synthesis

Modality-Agnostic Debiasing for Single Domain Generalization

NeuralPCI: Spatio-Temporal Neural Field for 3D Point Cloud Multi-Frame Non-Linear Interpolation

HGL: Hierarchical Geometry Learning for Test-time Adaptation in 3D Point Cloud Segmentation

MAP: MAsk-Pruning for Source-Free Model Intellectual Property Protection

POCE: Primal Policy Optimization with Conservative Estimation for Multi-constraint Offline Reinforcement Learning

RCP-Bench: Benchmarking Robustness for Collaborative Perception Under Diverse Corruptions

VOCE: Variational Optimization with Conservative Estimation for Offline Safe Reinforcement Learning

papers (19)

Gen-LaneNet: A Generalized and Scalable Approach for 3D Lane Detection

HRegNet: A Hierarchical Network for Large-Scale Outdoor LiDAR Point Cloud Registration

Unsupervised Domain Adaptation for Nighttime Aerial Tracking

Text With Knowledge Graph Augmented Transformer for Video Captioning

BMD: A General Class-Balanced Multicentric Dynamic Prototype Strategy for Source-Free Domain Adaptation

Upcycling Models Under Domain and Category Shift

Urban Radiance Field Representation with Deformable Neural Mesh Primitives

LEAD: Learning Decomposition for Source-free Universal Domain Adaptation

RSKDD-Net: Random Sample-based Keypoint Detector and Descriptor

UMC: A Unified Bandwidth-efficient and Multi-resolution based Collaborative Perception Framework

TMA: Temporal Motion Aggregation for Event-based Optical Flow

LiDAR4D: Dynamic Neural Fields for Novel Space-time View LiDAR Synthesis

Modality-Agnostic Debiasing for Single Domain Generalization

NeuralPCI: Spatio-Temporal Neural Field for 3D Point Cloud Multi-Frame Non-Linear Interpolation

HGL: Hierarchical Geometry Learning for Test-time Adaptation in 3D Point Cloud Segmentation

MAP: MAsk-Pruning for Source-Free Model Intellectual Property Protection

POCE: Primal Policy Optimization with Conservative Estimation for Multi-constraint Offline Reinforcement Learning

RCP-Bench: Benchmarking Robustness for Collaborative Perception Under Diverse Corruptions

VOCE: Variational Optimization with Conservative Estimation for Offline Safe Reinforcement Learning