Junjun Jiang

papers

1,324

total citations

papers (27)

Multi-Scale Progressive Fusion Network for Single Image Deraining

CVPR 2020arXiv

758

citations

Shadows Can Be Dangerous: Stealthy and Effective Physical-World Adversarial Attack by Natural Phenomenon

CVPR 2022arXiv

186

citations

Omniscient Video Super-Resolution

ICCV 2021arXiv

citations

Learning With Noisy Labels via Sparse Regularization

ICCV 2021arXiv

citations

Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation

CVPR 2022arXiv

citations

Spatial-Temporal Space Hand-in-Hand: Spatial-Temporal Video Super-Resolution via Cycle-Projected Mutual Learning

CVPR 2022arXiv

citations

Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training

ECCV 2022arXiv

citations

Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration

AAAI 2024arXiv

citations

DashGaussian: Optimizing 3D Gaussian Splatting in 200 Seconds

CVPR 2025arXiv

citations

Debiased All-in-one Image Restoration with Task Uncertainty Regularization

AAAI 2025

citations

COB-GS: Clear Object Boundaries in 3DGS Segmentation Based on Boundary-Adaptive Gaussian Splitting

CVPR 2025arXiv

citations

Low-Light Face Super-resolution via Illumination, Structure, and Texture Associated Representation

AAAI 2024

citations

Improving Domain Generalization in Self-Supervised Monocular Depth Estimation via Stabilized Adversarial Training

ECCV 2024arXiv

citations

OpticalDR: A Deep Optical Imaging Model for Privacy-Protective Depression Recognition

CVPR 2024arXiv

citations

CALLIC: Content Adaptive Learning for Lossless Image Compression

AAAI 2025arXiv

citations

Fast and Accurate Gigapixel Pathological Image Classification with Hierarchical Distillation Multi-Instance Learning

CVPR 2025arXiv

citations

Spatial Annealing for Efficient Few-shot Neural Rendering

AAAI 2025arXiv

citations

Joint Asymmetric Loss for Learning with Noisy Labels

ICCV 2025arXiv

citations

Balancing Task-invariant Interaction and Task-specific Adaptation for Unified Image Fusion

ICCV 2025arXiv

citations

FMRNet: Image Deraining via Frequency Mutual Revision

AAAI 2024

citations

Fusion from Decomposition: A Self-Supervised Decomposition Approach for Image Fusion

ECCV 2022

citations

Virtual Immunohistochemistry Staining for Histological Images Assisted by Weakly-supervised Learning

CVPR 2024

citations

Physics-Based Iterative Projection Complex Neural Network for Phase Retrieval in Lensless Microscopy Imaging

CVPR 2021

citations

Robust Test-Time Adaptation for Single Image Denoising Using Deep Gaussian Prior

ICCV 2025

citations

Junjun Jiang

papers (27)

Multi-Scale Progressive Fusion Network for Single Image Deraining

Shadows Can Be Dangerous: Stealthy and Effective Physical-World Adversarial Attack by Natural Phenomenon

Omniscient Video Super-Resolution

Learning With Noisy Labels via Sparse Regularization

Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation

Spatial-Temporal Space Hand-in-Hand: Spatial-Temporal Video Super-Resolution via Cycle-Projected Mutual Learning

Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training

Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration

DashGaussian: Optimizing 3D Gaussian Splatting in 200 Seconds

Debiased All-in-one Image Restoration with Task Uncertainty Regularization

COB-GS: Clear Object Boundaries in 3DGS Segmentation Based on Boundary-Adaptive Gaussian Splitting

Low-Light Face Super-resolution via Illumination, Structure, and Texture Associated Representation

Improving Domain Generalization in Self-Supervised Monocular Depth Estimation via Stabilized Adversarial Training

OpticalDR: A Deep Optical Imaging Model for Privacy-Protective Depression Recognition

CALLIC: Content Adaptive Learning for Lossless Image Compression

Fast and Accurate Gigapixel Pathological Image Classification with Hierarchical Distillation Multi-Instance Learning

Spatial Annealing for Efficient Few-shot Neural Rendering

Joint Asymmetric Loss for Learning with Noisy Labels

Balancing Task-invariant Interaction and Task-specific Adaptation for Unified Image Fusion

FMRNet: Image Deraining via Frequency Mutual Revision

Fusion from Decomposition: A Self-Supervised Decomposition Approach for Image Fusion

Virtual Immunohistochemistry Staining for Histological Images Assisted by Weakly-supervised Learning

Physics-Based Iterative Projection Complex Neural Network for Phase Retrieval in Lensless Microscopy Imaging

Geometric Estimation via Robust Subspace Recovery

Robust and Scalable Gaussian Process Regression and Its Applications

Spatial-Frequency Mutual Learning for Face Super-Resolution

Robust Test-Time Adaptation for Single Image Denoising Using Deep Gaussian Prior

papers (27)

Multi-Scale Progressive Fusion Network for Single Image Deraining

Shadows Can Be Dangerous: Stealthy and Effective Physical-World Adversarial Attack by Natural Phenomenon

Omniscient Video Super-Resolution

Learning With Noisy Labels via Sparse Regularization

Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation

Spatial-Temporal Space Hand-in-Hand: Spatial-Temporal Video Super-Resolution via Cycle-Projected Mutual Learning

Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training

Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration

DashGaussian: Optimizing 3D Gaussian Splatting in 200 Seconds

Debiased All-in-one Image Restoration with Task Uncertainty Regularization

COB-GS: Clear Object Boundaries in 3DGS Segmentation Based on Boundary-Adaptive Gaussian Splitting

Low-Light Face Super-resolution via Illumination, Structure, and Texture Associated Representation

Improving Domain Generalization in Self-Supervised Monocular Depth Estimation via Stabilized Adversarial Training

OpticalDR: A Deep Optical Imaging Model for Privacy-Protective Depression Recognition

CALLIC: Content Adaptive Learning for Lossless Image Compression

Fast and Accurate Gigapixel Pathological Image Classification with Hierarchical Distillation Multi-Instance Learning

Spatial Annealing for Efficient Few-shot Neural Rendering

Joint Asymmetric Loss for Learning with Noisy Labels

Balancing Task-invariant Interaction and Task-specific Adaptation for Unified Image Fusion

FMRNet: Image Deraining via Frequency Mutual Revision

Fusion from Decomposition: A Self-Supervised Decomposition Approach for Image Fusion

Virtual Immunohistochemistry Staining for Histological Images Assisted by Weakly-supervised Learning

Physics-Based Iterative Projection Complex Neural Network for Phase Retrieval in Lensless Microscopy Imaging

Geometric Estimation via Robust Subspace Recovery

Robust and Scalable Gaussian Process Regression and Its Applications

Spatial-Frequency Mutual Learning for Face Super-Resolution

Robust Test-Time Adaptation for Single Image Denoising Using Deep Gaussian Prior