Andrew Luo

According to our database, Andrew Luo authored at least 9 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Human-like Object Grouping in Self-supervised Vision Transformers.

Hossein Adeli, Seoyoung Ahn, Andrew Luo, Mengmi Zhang, Nikolaus Kriegeskorte, Gregory J. Zelinsky

CoRR, March, 2026

BrainLMM: A Label-Free Framework for Mapping Multi-Semantic Representation in the Human Visual Cortex.

Tan Gao, Mufan Xue, Haofang Zheng, Shuo Lv, Jia Xu, Dabin Sheng, Ziming Mao, Xinyu Wu, Andrew Luo, Guoyuan Yang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

A SageMath Package for Analytic Combinatorics in Several Variables: Beyond the Smooth Case.

Benjamin Hackl, Andrew Luo, Stephen Melczer, Éric Schost

CoRR, April, 2025

2024

Disentangled Acoustic Fields For Multimodal Physical Scene Understanding.

Jie Yin, Andrew Luo, Yilun Du, Anoop Cherian, Tim K. Marks, Jonathan Le Roux, Chuang Gan

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2023

Rigorous Analytic Combinatorics in Several Variables in SageMath.

Benjamin Hackl, Andrew Luo, Stephen Melczer, Jesse Selover, Elaine Wong

CoRR, 2023

2022

Prototype memory and attention mechanisms for few shot image generation.

Tianqin Li, Zijie Li, Andrew Luo, Harold Rockwell, Amir Barati Farimani, Tai Sing Lee

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

SurfGen: Adversarial 3D Shape Synthesis with Explicit Surface Discriminators.

Andrew Luo, Tianqin Li, Wen-Hao Zhang, Tai Sing Lee

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

End-to-End Optimization of Scene Layout.

Andrew Luo, Zhoutong Zhang, Jiajun Wu, Joshua B. Tenenbaum

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Learning to Infer and Execute 3D Shape Programs.

Yonglong Tian, Andrew Luo, Xingyuan Sun, Kevin Ellis, William T. Freeman, Joshua B. Tenenbaum, Jiajun Wu

Proceedings of the 7th International Conference on Learning Representations, 2019