Longguang Wang

papers

1,105

total citations

papers (23)

Learning Non-Local Spatial-Angular Correlation for Light Field Image Super-Resolution

ICCV 2023arXiv

citations

Decoupling Makes Weakly Supervised Local Feature Better

CVPR 2022arXiv

citations

Monte Carlo Linear Clustering with Single-Point Supervision is Enough for Infrared Small Target Detection

ICCV 2023arXiv

citations

Learning Mutual Modulation for Self-Supervised Cross-Modal Super-Resolution

ECCV 2022arXiv

citations

PointCMP: Contrastive Mask Prediction for Self-Supervised Learning on Point Cloud Videos

CVPR 2023arXiv

citations

Masked Spatio-Temporal Structure Prediction for Self-supervised Learning on Point Cloud Videos

ICCV 2023arXiv

citations

VideoDirector: Precise Video Editing via Text-to-Video Models

CVPR 2025arXiv

citations

Point Contrastive Prediction with Semantic Clustering for Self-Supervised Learning on Point Cloud Videos

ICCV 2023arXiv

citations

DropoutGS: Dropping Out Gaussians for Better Sparse-view Rendering

CVPR 2025arXiv

citations

Learning Robust Stereo Matching in the Wild with Selective Mixture-of-Experts

ICCV 2025arXiv

citations

SaMam: Style-aware State Space Model for Arbitrary Image Style Transfer

CVPR 2025arXiv

citations

Exploring Sparsity in Image Super-Resolution for Efficient Inference

CVPR 2021arXiv

citations

ACRF: Compressing Explicit Neural Radiance Fields via Attribute Compression

ICLR 2024

citations

AIQViT: Architecture-Informed Post-Training Quantization for Vision Transformers

AAAI 2025arXiv

citations

Distractor-Free Novel View Synthesis via Exploiting Memorization Effect in Optimization

ECCV 2024

citations

Learning Coupled Dictionaries from Unpaired Data for Image Super-Resolution

CVPR 2024

citations

VAPCNet: Viewpoint-Aware 3D Point Cloud Completion

ICCV 2023

citations

Learnable Lookup Table for Neural Network Quantization

CVPR 2022

citations

LoS: Local Structure-Guided Stereo Matching

CVPR 2024

citations

Longguang Wang

papers (23)

Unsupervised Degradation Representation Learning for Blind Super-Resolution

Spatial-Angular Interaction for Light Field Image Super-Resolution

Learning a Single Network for Scale-Arbitrary Super-Resolution

Occlusion-Aware Cost Constructor for Light Field Depth Estimation

Learning Non-Local Spatial-Angular Correlation for Light Field Image Super-Resolution

Decoupling Makes Weakly Supervised Local Feature Better

Monte Carlo Linear Clustering with Single-Point Supervision is Enough for Infrared Small Target Detection

Learning Mutual Modulation for Self-Supervised Cross-Modal Super-Resolution

PointCMP: Contrastive Mask Prediction for Self-Supervised Learning on Point Cloud Videos

Masked Spatio-Temporal Structure Prediction for Self-supervised Learning on Point Cloud Videos

VideoDirector: Precise Video Editing via Text-to-Video Models

Point Contrastive Prediction with Semantic Clustering for Self-Supervised Learning on Point Cloud Videos

DropoutGS: Dropping Out Gaussians for Better Sparse-view Rendering

Learning Robust Stereo Matching in the Wild with Selective Mixture-of-Experts

SaMam: Style-aware State Space Model for Arbitrary Image Style Transfer

Exploring Sparsity in Image Super-Resolution for Efficient Inference

ACRF: Compressing Explicit Neural Radiance Fields via Attribute Compression

AIQViT: Architecture-Informed Post-Training Quantization for Vision Transformers

Distractor-Free Novel View Synthesis via Exploiting Memorization Effect in Optimization

Learning Coupled Dictionaries from Unpaired Data for Image Super-Resolution

VAPCNet: Viewpoint-Aware 3D Point Cloud Completion

Learnable Lookup Table for Neural Network Quantization

LoS: Local Structure-Guided Stereo Matching

papers (23)

Unsupervised Degradation Representation Learning for Blind Super-Resolution

Spatial-Angular Interaction for Light Field Image Super-Resolution

Learning a Single Network for Scale-Arbitrary Super-Resolution

Occlusion-Aware Cost Constructor for Light Field Depth Estimation

Learning Non-Local Spatial-Angular Correlation for Light Field Image Super-Resolution

Decoupling Makes Weakly Supervised Local Feature Better

Monte Carlo Linear Clustering with Single-Point Supervision is Enough for Infrared Small Target Detection

Learning Mutual Modulation for Self-Supervised Cross-Modal Super-Resolution

PointCMP: Contrastive Mask Prediction for Self-Supervised Learning on Point Cloud Videos

Masked Spatio-Temporal Structure Prediction for Self-supervised Learning on Point Cloud Videos

VideoDirector: Precise Video Editing via Text-to-Video Models

Point Contrastive Prediction with Semantic Clustering for Self-Supervised Learning on Point Cloud Videos

DropoutGS: Dropping Out Gaussians for Better Sparse-view Rendering

Learning Robust Stereo Matching in the Wild with Selective Mixture-of-Experts

SaMam: Style-aware State Space Model for Arbitrary Image Style Transfer

Exploring Sparsity in Image Super-Resolution for Efficient Inference

ACRF: Compressing Explicit Neural Radiance Fields via Attribute Compression

AIQViT: Architecture-Informed Post-Training Quantization for Vision Transformers

Distractor-Free Novel View Synthesis via Exploiting Memorization Effect in Optimization

Learning Coupled Dictionaries from Unpaired Data for Image Super-Resolution

VAPCNet: Viewpoint-Aware 3D Point Cloud Completion

Learnable Lookup Table for Neural Network Quantization

LoS: Local Structure-Guided Stereo Matching