Yue He

papers

627

total citations

papers (12)

Deep Stable Learning for Out-of-Distribution Generalization

CVPR 2021arXiv

312

citations

StylizedNeRF: Consistent 3D Scene Stylization As Stylized NeRF via 2D-3D Mutual Learning

CVPR 2022arXiv

177

citations

COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models under Distribution Shifts

CVPR 2025arXiv

citations

Counterfactual Prediction for Bundle Treatment

NEURIPS 2020

citations

Domain-wise Data Acquisition to Improve Performance under Distribution Shift

ICML 2024

citations

CFCG: Semi-Supervised Semantic Segmentation via Cross-Fusion and Contour Guidance Supervision

ICCV 2023

citations

MAP: Towards Balanced Generalization of IID and OOD through Model-Agnostic Adapters

ICCV 2023

citations

Yue He

papers (12)

Deep Stable Learning for Out-of-Distribution Generalization

StylizedNeRF: Consistent 3D Scene Stylization As Stylized NeRF via 2D-3D Mutual Learning

NICO++: Towards Better Benchmarking for Domain Generalization

Rethinking the Evaluation Protocol of Domain Generalization

Full Bayesian Significance Testing via Neural Networks

Environment Inference for Learning Generalizable Dynamical System

ODP-Bench: Benchmarking Out-of-Distribution Performance Prediction

COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models under Distribution Shifts

Counterfactual Prediction for Bundle Treatment

Domain-wise Data Acquisition to Improve Performance under Distribution Shift

CFCG: Semi-Supervised Semantic Segmentation via Cross-Fusion and Contour Guidance Supervision

MAP: Towards Balanced Generalization of IID and OOD through Model-Agnostic Adapters

papers (12)

Deep Stable Learning for Out-of-Distribution Generalization

StylizedNeRF: Consistent 3D Scene Stylization As Stylized NeRF via 2D-3D Mutual Learning

NICO++: Towards Better Benchmarking for Domain Generalization

Rethinking the Evaluation Protocol of Domain Generalization

Full Bayesian Significance Testing via Neural Networks

Environment Inference for Learning Generalizable Dynamical System

ODP-Bench: Benchmarking Out-of-Distribution Performance Prediction

COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models under Distribution Shifts

Counterfactual Prediction for Bundle Treatment

Domain-wise Data Acquisition to Improve Performance under Distribution Shift

CFCG: Semi-Supervised Semantic Segmentation via Cross-Fusion and Contour Guidance Supervision

MAP: Towards Balanced Generalization of IID and OOD through Model-Agnostic Adapters