Yulan Guo
57 papers · 2018–2026 · 7 conferences · across top CS/AI conferences
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π Interdisciplinary Bridge π Academic Marathon (7) π Conference Polyglot (7) π Renaissance Researcher (6) πΊοΈ Taxonomy Completionist (76)
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(76)
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Keyword Pioneer
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Conference Loyalist
(34)
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Dynamic Duo
(25)
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Deep Specialist
(22)
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Keyword Champion
(2)
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Keyword Collector
(235)
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(8)
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Prolific Year
(9)
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Conference Pioneer
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Century Club
(56)
Conferences
CVPR (34)
ICCV (10)
ECCV (6)
WACV (3)
AAAI (2)
CORL (1)
ICLR (1)
Top co-authors
Keywords
point cloud
(13)
3d vision
(7)
depth estimation
(7)
point cloud registration
(5)
neural network
(5)
semantic segmentation
(5)
unsupervised learning
(4)
stereo matching
(4)
representation learning
(3)
3d point cloud
(3)
graph neural network
(3)
disparity estimation
(3)
self-supervised learning
(3)
domain adaptation
(3)
convolutional neural network
(3)
weakly supervised learning
(2)
zero-shot learning
(2)
contrastive learning
(2)
model compression
(2)
domain generalization
(2)
Papers
Edge-Centric Relational Reasoning for 3D Scene Graph Prediction
AAAI 2026
MonoMobility: Zero-Shot 3D Mobility Analysis from Monocular Videos
ICCV 2025
CDP: Towards Robust Autoregressive Visuomotor Policy Learning via Causal Diffusion
CORL 2025
AIQViT: Architecture-Informed Post-Training Quantization for Vision Transformers
AAAI 2025
OnlineAnySeg: Online Zero-Shot 3D Segmentation by Visual Foundation Model Guided 2D Mask Merging
CVPR 2025
SaMam: Style-aware State Space Model for Arbitrary Image Style Transfer
CVPR 2025
DropoutGS: Dropping Out Gaussians for Better Sparse-view Rendering
CVPR 2025
Progressive Correspondence Regenerator for Robust 3D Registration
CVPR 2025
VideoDirector: Precise Video Editing via Text-to-Video Models
CVPR 2025
TopNet: Transformer-Efficient Occupancy Prediction Network for Octree-Structured Point Cloud Geometry Compression
CVPR 2025
Learning Coupled Dictionaries from Unpaired Data for Image Super-Resolution
CVPR 2024
ACRF: Compressing Explicit Neural Radiance Fields via Attribute Compression
ICLR 2024
Density-guided Translator Boosts Synthetic-to-Real Unsupervised Domain Adaptive Segmentation of 3D Point Clouds
CVPR 2024
DriveWorld: 4D Pre-trained Scene Understanding via World Models for Autonomous Driving
CVPR 2024
Distractor-Free Novel View Synthesis via Exploiting Memorization Effect in Optimization
ECCV 2024
LoS: Local Structure-Guided Stereo Matching
CVPR 2024
L4D-Track: Language-to-4D Modeling Towards 6-DoF Tracking and Shape Reconstruction in 3D Point Cloud Stream
CVPR 2024
Learning Representations from Foundation Models for Domain Generalized Stereo Matching
ECCV 2024
Heterogeneous Graph Learning for Scene Graph Prediction in 3D Point Clouds
ECCV 2024
AEDNet: Adaptive Embedding and Multiview-Aware Disentanglement for Point Cloud Completion
ECCV 2024
Masked Spatio-Temporal Structure Prediction for Self-supervised Learning on Point Cloud Videos
ICCV 2023
3D Spatial Multimodal Knowledge Accumulation for Scene Graph Prediction in Point Cloud
CVPR 2023
Semi-Weakly Supervised Object Kinematic Motion Prediction
CVPR 2023
Robust Multiview Point Cloud Registration With Reliable Pose Graph Initialization and History Reweighting
CVPR 2023
PointCMP: Contrastive Mask Prediction for Self-Supervised Learning on Point Cloud Videos
CVPR 2023
Context-Aware Alignment and Mutual Masking for 3D-Language Pre-Training
CVPR 2023
BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud Registration
CVPR 2023
Learning Non-Local Spatial-Angular Correlation for Light Field Image Super-Resolution
ICCV 2023
2D3D-MATR: 2D-3D Matching Transformer for Detection-Free Registration Between Images and Point Clouds
ICCV 2023
Monte Carlo Linear Clustering with Single-Point Supervision is Enough for Infrared Small Target Detection
ICCV 2023
VAPCNet: Viewpoint-Aware 3D Point Cloud Completion
ICCV 2023
Point Contrastive Prediction with Semantic Clustering for Self-Supervised Learning on Point Cloud Videos
ICCV 2023
Depth Estimation by Combining Binocular Stereo and Monocular Structured-Light
CVPR 2022
Decoupling Makes Weakly Supervised Local Feature Better
CVPR 2022
RayMVSNet: Learning Ray-Based 1D Implicit Fields for Accurate Multi-View Stereo
CVPR 2022
Not All Points Are Equal: Learning Highly Efficient Point-Based Detectors for 3D LiDAR Point Clouds
CVPR 2022
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds
ECCV 2022
Spatial-Temporal Transformer for 3D Point Cloud Sequences
WACV 2022
Semantic-Aware Domain Generalized Segmentation
CVPR 2022
Learnable Lookup Table for Neural Network Quantization
CVPR 2022
Geometric Transformer for Fast and Robust Point Cloud Registration
CVPR 2022
3DAC: Learning Attribute Compression for Point Clouds
CVPR 2022
Occlusion-Aware Cost Constructor for Light Field Depth Estimation
CVPR 2022
Sparse-to-Dense Feature Matching: Intra and Inter Domain Cross-Modal Learning in Domain Adaptation for 3D Semantic Segmentation
ICCV 2021
Learning a Single Network for Scale-Arbitrary Super-Resolution
ICCV 2021
SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration
CVPR 2021
Bilateral Grid Learning for Stereo Matching Networks
CVPR 2021
Exploring Sparsity in Image Super-Resolution for Efficient Inference
CVPR 2021
Unsupervised Degradation Representation Learning for Blind Super-Resolution
CVPR 2021
Spatial-Angular Interaction for Light Field Image Super-Resolution
ECCV 2020
DeOccNet: Learning to See Through Foreground Occlusions in Light Fields
WACV 2020
Global Context Reasoning for Semantic Segmentation of 3D Point Clouds
WACV 2020
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
CVPR 2020
Learning Parallax Attention for Stereo Image Super-Resolution
CVPR 2019
Unsupervised Primitive Discovery for Improved 3D Generative Modeling
CVPR 2019
Ground-to-Aerial Image Geo-Localization With a Hard Exemplar Reweighting Triplet Loss
ICCV 2019
Learning for Disparity Estimation Through Feature Constancy
CVPR 2018