Longguang Wang
27 papers · 2019–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (5) π Academic Marathon (6) π Conference Polyglot (6) πΊοΈ Taxonomy Completionist (43)
πΊοΈ
Taxonomy Completionist
(43)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π€
Dynamic Duo
(25)
π§¬
Topic Evolution
π
Century Club
(27)
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(96)
π₯
Unstoppable
(7)
π
Conference Pioneer
Conferences
CVPR (12)
ICCV (7)
ECCV (5)
AAAI (1)
ICLR (1)
WACV (1)
Top co-authors
Keywords
depth estimation
(4)
self-supervised learning
(3)
representation learning
(3)
weakly supervised learning
(2)
model compression
(2)
point cloud
(2)
light field
(2)
unsupervised learning
(2)
neural network quantization
(2)
convolutional neural network
(2)
image restoration
(2)
disparity estimation
(2)
image super-resolution
(2)
stereo matching
(2)
point cloud video
(2)
contrastive learning
(2)
video generation
(1)
sparse representation
(1)
neural network pruning
(1)
domain generalization
(1)
Papers
Learning Robust Stereo Matching in the Wild with Selective Mixture-of-Experts
ICCV 2025
VideoDirector: Precise Video Editing via Text-to-Video Models
CVPR 2025
DropoutGS: Dropping Out Gaussians for Better Sparse-view Rendering
CVPR 2025
SaMam: Style-aware State Space Model for Arbitrary Image Style Transfer
CVPR 2025
AIQViT: Architecture-Informed Post-Training Quantization for Vision Transformers
AAAI 2025
Distractor-Free Novel View Synthesis via Exploiting Memorization Effect in Optimization
ECCV 2024
ACRF: Compressing Explicit Neural Radiance Fields via Attribute Compression
ICLR 2024
LoS: Local Structure-Guided Stereo Matching
CVPR 2024
Learning Coupled Dictionaries from Unpaired Data for Image Super-Resolution
CVPR 2024
AEDNet: Adaptive Embedding and Multiview-Aware Disentanglement for Point Cloud Completion
ECCV 2024
Learning Representations from Foundation Models for Domain Generalized Stereo Matching
ECCV 2024
VAPCNet: Viewpoint-Aware 3D Point Cloud Completion
ICCV 2023
Masked Spatio-Temporal Structure Prediction for Self-supervised Learning on Point Cloud Videos
ICCV 2023
Learning Non-Local Spatial-Angular Correlation for Light Field Image Super-Resolution
ICCV 2023
Point Contrastive Prediction with Semantic Clustering for Self-Supervised Learning on Point Cloud Videos
ICCV 2023
PointCMP: Contrastive Mask Prediction for Self-Supervised Learning on Point Cloud Videos
CVPR 2023
Monte Carlo Linear Clustering with Single-Point Supervision is Enough for Infrared Small Target Detection
ICCV 2023
Decoupling Makes Weakly Supervised Local Feature Better
CVPR 2022
Learnable Lookup Table for Neural Network Quantization
CVPR 2022
Learning Mutual Modulation for Self-Supervised Cross-Modal Super-Resolution
ECCV 2022
Occlusion-Aware Cost Constructor for Light Field Depth Estimation
CVPR 2022
Exploring Sparsity in Image Super-Resolution for Efficient Inference
CVPR 2021
Unsupervised Degradation Representation Learning for Blind Super-Resolution
CVPR 2021
Learning a Single Network for Scale-Arbitrary Super-Resolution
ICCV 2021
DeOccNet: Learning to See Through Foreground Occlusions in Light Fields
WACV 2020
Spatial-Angular Interaction for Light Field Image Super-Resolution
ECCV 2020
Learning Parallax Attention for Stereo Image Super-Resolution
CVPR 2019