Yuan Yuan

papers

831

total citations

papers (20)

Targeted Supervised Contrastive Learning for Long-Tailed Recognition

CVPR 2022arXiv

246

citations

Self-Supervised Transformers for Unsupervised Object Discovery Using Normalized Cut

CVPR 2022arXiv

213

citations

Learning Longterm Representations for Person Re-Identification Using Radio Signals

CVPR 2020arXiv

105

citations

Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning

NEURIPS 2020arXiv

citations

NightHaze: Nighttime Image Dehazing via Self-Prior Learning

AAAI 2025arXiv

citations

NightRain: Nighttime Video Deraining via Adaptive-Rain-Removal and Adaptive-Correction

AAAI 2024arXiv

citations

Adv-CPG: A Customized Portrait Generation Framework with Facial Adversarial Attacks

CVPR 2025arXiv

citations

Cyclic Learning for Binaural Audio Generation and Localization

CVPR 2024

citations

Semantic Segmentation in Multiple Adverse Weather Conditions with Domain Knowledge Retention

AAAI 2024arXiv

citations

Diffusion Transformers as Open-World Spatiotemporal Foundation Models

NEURIPS 2025arXiv

citations

Edge Contrastive Learning: An Augmentation-Free Graph Contrastive Learning Model

AAAI 2025arXiv

citations

Improving Factual Error Correction by Learning to Inject Factual Errors

AAAI 2024arXiv

citations

Subgroup-based Rank-1 Lattice Quasi-Monte Carlo

NEURIPS 2020arXiv

citations

Efficient Dynamic Scene Deblurring Using Spatially Variant Deconvolution Network With Optical Flow Guided Training

CVPR 2020

citations

Variational Context-Deformable ConvNets for Indoor Scene Parsing

CVPR 2020

citations

Semantic Segmentation on Raindrop Degraded Images Using Two-Stage Dual Teacher-Student Learning

AAAI 2025

citations

Enhancing Low-Rank Adaptation with Recoverability-Based Reinforcement Pruning for Object Counting

AAAI 2025

citations

Yuan Yuan

papers (20)

Targeted Supervised Contrastive Learning for Long-Tailed Recognition

Self-Supervised Transformers for Unsupervised Object Discovery Using Normalized Cut

Learning Longterm Representations for Person Re-Identification Using Radio Signals

In-Home Daily-Life Captioning Using Radio Signals

Mono3DVG: 3D Visual Grounding in Monocular Images

Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation

Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning

NightHaze: Nighttime Image Dehazing via Self-Prior Learning

NightRain: Nighttime Video Deraining via Adaptive-Rain-Removal and Adaptive-Correction

Adv-CPG: A Customized Portrait Generation Framework with Facial Adversarial Attacks

Cyclic Learning for Binaural Audio Generation and Localization

Semantic Segmentation in Multiple Adverse Weather Conditions with Domain Knowledge Retention

Diffusion Transformers as Open-World Spatiotemporal Foundation Models

Edge Contrastive Learning: An Augmentation-Free Graph Contrastive Learning Model

Improving Factual Error Correction by Learning to Inject Factual Errors

Subgroup-based Rank-1 Lattice Quasi-Monte Carlo

Efficient Dynamic Scene Deblurring Using Spatially Variant Deconvolution Network With Optical Flow Guided Training

Variational Context-Deformable ConvNets for Indoor Scene Parsing

Semantic Segmentation on Raindrop Degraded Images Using Two-Stage Dual Teacher-Student Learning

Enhancing Low-Rank Adaptation with Recoverability-Based Reinforcement Pruning for Object Counting

papers (20)

Targeted Supervised Contrastive Learning for Long-Tailed Recognition

Self-Supervised Transformers for Unsupervised Object Discovery Using Normalized Cut

Learning Longterm Representations for Person Re-Identification Using Radio Signals

In-Home Daily-Life Captioning Using Radio Signals

Mono3DVG: 3D Visual Grounding in Monocular Images

Spatio-Temporal Few-Shot Learning via Diffusive Neural Network Generation

Unsupervised Semantic Aggregation and Deformable Template Matching for Semi-Supervised Learning

NightHaze: Nighttime Image Dehazing via Self-Prior Learning

NightRain: Nighttime Video Deraining via Adaptive-Rain-Removal and Adaptive-Correction

Adv-CPG: A Customized Portrait Generation Framework with Facial Adversarial Attacks

Cyclic Learning for Binaural Audio Generation and Localization

Semantic Segmentation in Multiple Adverse Weather Conditions with Domain Knowledge Retention

Diffusion Transformers as Open-World Spatiotemporal Foundation Models

Edge Contrastive Learning: An Augmentation-Free Graph Contrastive Learning Model

Improving Factual Error Correction by Learning to Inject Factual Errors

Subgroup-based Rank-1 Lattice Quasi-Monte Carlo

Efficient Dynamic Scene Deblurring Using Spatially Variant Deconvolution Network With Optical Flow Guided Training

Variational Context-Deformable ConvNets for Indoor Scene Parsing

Semantic Segmentation on Raindrop Degraded Images Using Two-Stage Dual Teacher-Student Learning

Enhancing Low-Rank Adaptation with Recoverability-Based Reinforcement Pruning for Object Counting