Katie Luo

Ph.D. Candidate @ Cornell University

Cornell University

About Me

Hello! I am a Ph.D. candidate at Cornell University, advised by Prof. Kilian Q. Weinberger and Prof. Bharath Hariharan. My research interests mostly lies in machine learning and computer vision. I am fortunate to have been supported by a Cornell University Fellowship and an Nvidia Graduate Student Fellowship.

Before joining Cornell University, I had the pleasure of working on a variety of topics including applied machine learning, deep reinforcement learning, and applications of natural language processing. View my professional summary here.

News:

[Apr. 2024]	Research exchange to the University of Sydney, Australian Centre for Robotics.
[Mar. 2024]	Call for papers for the AD Simulations workshop at CVPR! Look out for the details on the workshop website
[Mar. 2024]	Giving a presentation at the Graduate Fellow Fast Forward talks at Nvidia GTC 2024!

Interests

Machine Learning
Computer Vision
Autonomous Driving

Education

PhD in Computer Science, 2020 - Present

Cornell University
MS in Elec. Eng. and Computer Sciences, 2018 - 2019

University of California, Berkeley
BSc in Elec. Eng. and Computer Sciences, 2015 - 2018

University of California, Berkeley

Featured Publications

(* denotes equal contribution)

For an up-to-date list of publications, check out my Google Scholar.

Denoising Vision Transformers

In Submission
Investigating positional embedding artifacts in ViTs, and denosing them.

Jiawei Yang*, Katie Z Luo*, Jiefeng Li, Kilian Q. Weinberger, Yonglong Tian, Yue Wang

Augmenting Lane Perception and Topology Understanding with Standard Definition Navigation Maps

ICRA 2024
The first work to investigate how to leverage standard definition maps to augment lane topology reasoning.

Katie Z Luo, Xinshuo Weng, Yan Wang, Shuang Wu, Jie Li, Kilian Q. Weinberger, Yue Wang, Marco Pavone

Augmenting Lane Perception and Topology Understanding with Standard Definition Navigation Maps

Learning to Detect Mobile Objects from LiDAR Scans Without Labels

NeurIPS 2023
Discovering 3D objects with reward fine-tuning, drawing inspiration from the RL community.

Katie Z Luo*, Zhenzhen Liu*, Xiangyu Chen*, Yurong You, Cheng Perng Phoo, Sagie Benaim, Mark Campbell, Wen Sun, Bharath Hariharan, Kilian Q. Weinberger