Changjun Jiang

papers

340

total citations

papers (11)

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

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

CERTAIN: Context Uncertainty-aware One-Shot Adaptation for Context-based Offline Meta Reinforcement Learning

ICML 2025

citations

Changjun Jiang

papers (11)

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

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

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

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

CERTAIN: Context Uncertainty-aware One-Shot Adaptation for Context-based Offline Meta Reinforcement Learning

papers (11)

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

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

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

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

CERTAIN: Context Uncertainty-aware One-Shot Adaptation for Context-based Offline Meta Reinforcement Learning