Junjun Jiang
52 papers · 2016–2026 · 9 venues · across top CS/AI venues
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Research topics
Computer Vision
(32)
Machine Learning
(30)
Deep Learning
(26)
Learning Types Β· Machine Learning
(20)
Processing
(19)
Learning Types Β· Deep Learning
(15)
Core Methods
(12)
Architectures
(10)
Generation
(9)
Optimization & Theory
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Analysis
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Domain-Specific
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Models
(8)
Application Areas
(7)
Artificial Intelligence
(5)
Keywords
image restoration
(7)
image deraining
(5)
convolutional neural network
(4)
label noise
(4)
deep neural network
(4)
mutual learning
(4)
loss function
(4)
contrastive learning
(3)
knowledge distillation
(3)
image fusion
(3)
noisy label
(3)
3d reconstruction
(3)
video super-resolution
(3)
3d vision
(3)
self-supervised learning
(3)
feature representation
(3)
monocular depth estimation
(2)
multimodal learning
(2)
conditional generation
(2)
multi-task learning
(2)
Papers
FBTA: Enabling Single-GPU End-to-End Gigapixel WSI Classification with Feature Bridging and Translation Alignment
CVPR 2026
Reliev3R: Relieving Feed-forward 3D Reconstruction from Multi-View Geometric Annotations
CVPR 2026
Semantics and Content Matter: Towards Multi-Prior Hierarchical Mamba for Image Deraining
AAAI 2026
Variation-Bounded Loss for Noise-Tolerant Learning
AAAI 2026
Always Clear Depth: Robust Monocular Depth Estimation Under Adverse Weather
IJCAI 2025
Balancing Task-invariant Interaction and Task-specific Adaptation for Unified Image Fusion
ICCV 2025
CALLIC: Content Adaptive Learning for Lossless Image Compression
AAAI 2025
COB-GS: Clear Object Boundaries in 3DGS Segmentation Based on Boundary-Adaptive Gaussian Splitting
CVPR 2025
DashGaussian: Optimizing 3D Gaussian Splatting in 200 Seconds
CVPR 2025
Debiased All-in-one Image Restoration with Task Uncertainty Regularization
AAAI 2025
Fast and Accurate Gigapixel Pathological Image Classification with Hierarchical Distillation Multi-Instance Learning
CVPR 2025
Joint Asymmetric Loss for Learning with Noisy Labels
ICCV 2025
Robust Test-Time Adaptation for Single Image Denoising Using Deep Gaussian Prior
ICCV 2025
Spatial Annealing for Efficient Few-shot Neural Rendering
AAAI 2025
Ξ΅-Softmax: Approximating One-Hot Vectors for Mitigating Label Noise
NeurIPS 2024
AFBench: A Large-scale Benchmark for Airfoil Design
NeurIPS 2024
FMRNet: Image Deraining via Frequency Mutual Revision
AAAI 2024
Improving Domain Generalization in Self-Supervised Monocular Depth Estimation via Stabilized Adversarial Training
ECCV 2024
Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration
AAAI 2024
Low-Light Face Super-resolution via Illumination, Structure, and Texture Associated Representation
AAAI 2024
OpticalDR: A Deep Optical Imaging Model for Privacy-Protective Depression Recognition
CVPR 2024
Variance-enlarged Poisson Learning for Graph-based Semi-Supervised Learning with Extremely Sparse Labeled Data
ICLR 2024
Virtual Immunohistochemistry Staining for Histological Images Assisted by Weakly-supervised Learning
CVPR 2024
Zero-Mean Regularized Spectral Contrastive Learning: Implicitly Mitigating Wrong Connections in Positive-Pair Graphs
ICLR 2024
No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation
ICML 2023
On the Dynamics Under the Unhinged Loss and Beyond
JMLR 2023
Robust and Scalable Gaussian Process Regression and Its Applications
CVPR 2023
Spatial-Frequency Mutual Learning for Face Super-Resolution
CVPR 2023
DANet: Image Deraining via Dynamic Association Learning
IJCAI 2022
Fusion from Decomposition: A Self-Supervised Decomposition Approach for Image Fusion
ECCV 2022
Learning Towards The Largest Margins
ICLR 2022
Local Surface Descriptor for Geometry and Feature Preserved Mesh Denoising
AAAI 2022
Prototype-Anchored Learning for Learning with Imperfect Annotations
ICML 2022
Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation
CVPR 2022
Shadows Can Be Dangerous: Stealthy and Effective Physical-World Adversarial Attack by Natural Phenomenon
CVPR 2022
SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-training for Spatial-Aware Visual Representations
AAAI 2022
Spatial-Temporal Space Hand-in-Hand: Spatial-Temporal Video Super-Resolution via Cycle-Projected Mutual Learning
CVPR 2022
Towards End-to-End Image Compression and Analysis with Transformers
AAAI 2022
Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training
ECCV 2022
Asymmetric Loss Functions for Learning with Noisy Labels
ICML 2021
Learning With Noisy Labels via Sparse Regularization
ICCV 2021
Omniscient Video Super-Resolution
ICCV 2021
Physics-Based Iterative Projection Complex Neural Network for Phase Retrieval in Lensless Microscopy Imaging
CVPR 2021
FusionDN: A Unified Densely Connected Network for Image Fusion
AAAI 2020
Geometric Estimation via Robust Subspace Recovery
ECCV 2020
Multi-Scale Progressive Fusion Network for Single Image Deraining
CVPR 2020
Learning a Generative Model for Fusing Infrared and Visible Images via Conditional Generative Adversarial Network with Dual Discriminators
IJCAI 2019
Progressive Fusion Video Super-Resolution Network via Exploiting Non-Local Spatio-Temporal Correlations
ICCV 2019
Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face Hallucination
IJCAI 2018
Locality Preserving Matching
IJCAI 2017
3D Action Recognition Using Multi-Temporal Depth Motion Maps and Fisher Vector
IJCAI 2016
Scale-Adaptive Low-Resolution Person Re-Identification via Learning a Discriminating Surface
IJCAI 2016