Yadan Luo

papers

607

total citations

papers (12)

Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling

ICCV 2023arXiv

citations

KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection

ICCV 2023arXiv

citations

Find n' Propagate: Open-Vocabulary 3D Object Detection in Urban Environments

ECCV 2024arXiv

citations

MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection

ICLR 2025arXiv

citations

Provable Ordering and Continuity in Vision-Language Pretraining for Generalizable Embodied Agents

NEURIPS 2025arXiv

citations

Is Less More? Exploring Token Condensation as Training-free Test-time Adaptation

ICCV 2025arXiv

citations

Latent Refinement via Flow Matching for Training-free Linear Inverse Problem Solving

NEURIPS 2025arXiv

citations

How Far Pre-trained Models Are from Neural Collapse on the Target Dataset Informs their Transferability

ICCV 2023

citations

Yadan Luo

papers (12)

Learning To Diversify for Single Domain Generalization

Semantics Disentangling for Generalized Zero-Shot Learning

Don't Shake the Wheel: Momentum-Aware Planning in End-to-End Autonomous Driving

PolaFormer: Polarity-aware Linear Attention for Vision Transformers

Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling

KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection

Find n' Propagate: Open-Vocabulary 3D Object Detection in Urban Environments

MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection

Provable Ordering and Continuity in Vision-Language Pretraining for Generalizable Embodied Agents

Is Less More? Exploring Token Condensation as Training-free Test-time Adaptation

Latent Refinement via Flow Matching for Training-free Linear Inverse Problem Solving

How Far Pre-trained Models Are from Neural Collapse on the Target Dataset Informs their Transferability

papers (12)

Learning To Diversify for Single Domain Generalization

Semantics Disentangling for Generalized Zero-Shot Learning

Don't Shake the Wheel: Momentum-Aware Planning in End-to-End Autonomous Driving

PolaFormer: Polarity-aware Linear Attention for Vision Transformers

Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling

KECOR: Kernel Coding Rate Maximization for Active 3D Object Detection

Find n' Propagate: Open-Vocabulary 3D Object Detection in Urban Environments

MOS: Model Synergy for Test-Time Adaptation on LiDAR-Based 3D Object Detection

Provable Ordering and Continuity in Vision-Language Pretraining for Generalizable Embodied Agents

Is Less More? Exploring Token Condensation as Training-free Test-time Adaptation

Latent Refinement via Flow Matching for Training-free Linear Inverse Problem Solving

How Far Pre-trained Models Are from Neural Collapse on the Target Dataset Informs their Transferability