Yue Gao

papers

1,289

total citations

papers (27)

Learning To Prompt for Open-Vocabulary Object Detection With Vision-Language Model

CVPR 2022arXiv

418

citations

3D Room Layout Estimation from a Cubemap of Panorama Image via Deep Manhattan Hough Transform

ECCV 2022arXiv

citations

NeuralGF: Unsupervised Point Normal Estimation by Learning Neural Gradient Function

NEURIPS 2023arXiv

citations

FluidNexus: 3D Fluid Reconstruction and Prediction from a Single Video

CVPR 2025arXiv

citations

Beyond Graphs: Can Large Language Models Comprehend Hypergraphs?

ICLR 2025arXiv

citations

Improve Robustness of Reinforcement Learning against Observation Perturbations via l∞ Lipschitz Policy Networks

AAAI 2024

citations

Implicit Motion Function

CVPR 2024

citations

Accelerating Monte Carlo Tree Search with Probability Tree State Abstraction

NEURIPS 2023arXiv

citations

Multi-Energy Guided Image Translation with Stochastic Differential Equations for Near-Infrared Facial Expression Recognition

AAAI 2024arXiv

citations

Hypergraph-Guided Disentangled Spectrum Transformer Networks for Near-Infrared Facial Expression Recognition

AAAI 2024arXiv

citations

Diff2I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior

ICCV 2025

citations

Event Stream Super-Resolution via Spatiotemporal Constraint Learning

ICCV 2021

citations

ColorPCR: Color Point Cloud Registration with Multi-Stage Geometric-Color Fusion

CVPR 2024

citations

Hyper-Depth: Hypergraph-based Multi-Scale Representation Fusion for Monocular Depth Estimation

ICCV 2025

citations

LP-DIF: Learning Local Pattern-Specific Deep Implicit Function for 3D Objects and Scenes

CVPR 2023

citations

GraphI2P: Image-to-Point Cloud Registration with Exploring Pattern of Correspondence via Graph Learning

CVPR 2025

citations

3D Feature Tracking via Event Camera

CVPR 2024

citations

SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds

CVPR 2023

citations

Yue Gao

papers (27)

Learning To Prompt for Open-Vocabulary Object Detection With Vision-Language Model

Aligning Pretraining for Detection via Object-Level Contrastive Learning

3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection

ReCU: Reviving the Dead Weights in Binary Neural Networks

View-Guided Point Cloud Completion

High-Fidelity and Arbitrary Face Editing

Position: Topological Deep Learning is the New Frontier for Relational Learning

High-Fidelity and Freely Controllable Talking Head Video Generation

Grow and Merge: A Unified Framework for Continuous Categories Discovery

On the Limitations of Stochastic Pre-processing Defenses

3D Room Layout Estimation from a Cubemap of Panorama Image via Deep Manhattan Hough Transform

NeuralGF: Unsupervised Point Normal Estimation by Learning Neural Gradient Function

FluidNexus: 3D Fluid Reconstruction and Prediction from a Single Video

Beyond Graphs: Can Large Language Models Comprehend Hypergraphs?

Improve Robustness of Reinforcement Learning against Observation Perturbations via l∞ Lipschitz Policy Networks

Implicit Motion Function

Accelerating Monte Carlo Tree Search with Probability Tree State Abstraction

Multi-Energy Guided Image Translation with Stochastic Differential Equations for Near-Infrared Facial Expression Recognition

Hypergraph-Guided Disentangled Spectrum Transformer Networks for Near-Infrared Facial Expression Recognition

Diff2I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior

Event Stream Super-Resolution via Spatiotemporal Constraint Learning

ColorPCR: Color Point Cloud Registration with Multi-Stage Geometric-Color Fusion

Hyper-Depth: Hypergraph-based Multi-Scale Representation Fusion for Monocular Depth Estimation

LP-DIF: Learning Local Pattern-Specific Deep Implicit Function for 3D Objects and Scenes

GraphI2P: Image-to-Point Cloud Registration with Exploring Pattern of Correspondence via Graph Learning

3D Feature Tracking via Event Camera

SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds

papers (27)

Learning To Prompt for Open-Vocabulary Object Detection With Vision-Language Model

Aligning Pretraining for Detection via Object-Level Contrastive Learning

3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection

ReCU: Reviving the Dead Weights in Binary Neural Networks

View-Guided Point Cloud Completion

High-Fidelity and Arbitrary Face Editing

Position: Topological Deep Learning is the New Frontier for Relational Learning

High-Fidelity and Freely Controllable Talking Head Video Generation

Grow and Merge: A Unified Framework for Continuous Categories Discovery

On the Limitations of Stochastic Pre-processing Defenses

3D Room Layout Estimation from a Cubemap of Panorama Image via Deep Manhattan Hough Transform

NeuralGF: Unsupervised Point Normal Estimation by Learning Neural Gradient Function

FluidNexus: 3D Fluid Reconstruction and Prediction from a Single Video

Beyond Graphs: Can Large Language Models Comprehend Hypergraphs?

Improve Robustness of Reinforcement Learning against Observation Perturbations via l∞ Lipschitz Policy Networks

Implicit Motion Function

Accelerating Monte Carlo Tree Search with Probability Tree State Abstraction

Multi-Energy Guided Image Translation with Stochastic Differential Equations for Near-Infrared Facial Expression Recognition

Hypergraph-Guided Disentangled Spectrum Transformer Networks for Near-Infrared Facial Expression Recognition

Diff2I2P: Differentiable Image-to-Point Cloud Registration with Diffusion Prior

Event Stream Super-Resolution via Spatiotemporal Constraint Learning

ColorPCR: Color Point Cloud Registration with Multi-Stage Geometric-Color Fusion

Hyper-Depth: Hypergraph-based Multi-Scale Representation Fusion for Monocular Depth Estimation

LP-DIF: Learning Local Pattern-Specific Deep Implicit Function for 3D Objects and Scenes

GraphI2P: Image-to-Point Cloud Registration with Exploring Pattern of Correspondence via Graph Learning

3D Feature Tracking via Event Camera

SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds