Hubert Lin

According to our database, Hubert Lin authored at least 14 papers between 2017 and 2025.

Collaborative distances:

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

2025

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation.

Yichen Xie, Runsheng Xu, Tong He, Jyh-Jing Hwang, Katie Luo, Jingwei Ji, Hubert Lin, Letian Chen, Yiren Lu, Zhaoqi Leng, Dragomir Anguelov, Mingxing Tan

CoRR, May, 2025

EMMA: End-to-End Multimodal Model for Autonomous Driving.

Jyh-Jing Hwang, Runsheng Xu, Hubert Lin, Wei-Chih Hung, Jingwei Ji, Kristy Choi, Di Huang, Tong He, Paul Covington, Benjamin Sapp, Yin Zhou, James Guo, Dragomir Anguelov, Mingxing Tan

Trans. Mach. Learn. Res., 2025

S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Model with Spatio-Temporal Visual Representation.

Yichen Xie, Runsheng Xu, Tong He, Jyh-Jing Hwang, Katie Luo, Jingwei Ji, Hubert Lin, Letian Chen, Yiren Lu, Zhaoqi Leng, Dragomir Anguelov, Mingxing Tan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

EMMA: End-to-End Multimodal Model for Autonomous Driving.

Jyh-Jing Hwang, Runsheng Xu, Hubert Lin, Wei-Chih Hung, Jingwei Ji, Kristy Choi, Di Huang, Tong He, Paul Covington, Benjamin Sapp, James Guo, Dragomir Anguelov, Mingxing Tan

CoRR, 2024

2021

AutoPhoto: Aesthetic Photo Capture using Reinforcement Learning.

Hadi AlZayer, Hubert Lin, Kavita Bala

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

What Can Style Transfer and Paintings Do for Model Robustness?

Hubert Lin, Mitchell van Zuijlen, Sylvia C. Pont, Maarten W. A. Wijntjes, Kavita Bala

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Materials In Paintings (MIP): An interdisciplinary dataset for perception, art history, and computer vision.

Mitchell J. P. van Zuijlen, Hubert Lin, Kavita Bala, Sylvia C. Pont, Maarten W. A. Wijntjes

CoRR, 2020

Block Annotation: Better Image Annotation for Semantic Segmentation with Sub-Image Decomposition.

Hubert Lin, Paul Upchurch, Kavita Bala

CoRR, 2020

DeepSemanticHPPC: Hypothesis-based Planning over Uncertain Semantic Point Clouds.

Yutao Han, Hubert Lin, Jacopo Banfi, Kavita Bala, Mark E. Campbell

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Insights from a Large-Scale Database of Material Depictions in Paintings.

Hubert Lin, Mitchell van Zuijlen, Maarten W. A. Wijntjes, Sylvia C. Pont, Kavita Bala

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Silva: Interactively Assessing Machine Learning Fairness Using Causality.

Jing Nathan Yan, Ziwei Gu, Hubert Lin, Jeffrey M. Rzeszotarski

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

2019

Block Annotation: Better Image Annotation With Sub-Image Decomposition.

Hubert Lin, Paul Upchurch, Kavita Bala

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Learning Material-Aware Local Descriptors for 3D Shapes.

Hubert Lin, Melinos Averkiou, Evangelos Kalogerakis, Balazs Kovacs, Siddhant Ranade, Vladimir G. Kim, Siddhartha Chaudhuri, Kavita Bala

Proceedings of the 2018 International Conference on 3D Vision, 2018

2017

Identifying and Avoiding Confusion in Dialogue with People with Alzheimer's Disease.

Hamidreza Chinaei, Leila Chan Currie, Andrew Danks, Hubert Lin, Tejas Mehta, Frank Rudzicz

Comput. Linguistics, 2017