Katie Luo

Katie Luo

Ph.D. Student @ Cornell University

Cornell University

About Me

Hello! I am a Ph.D. student at Cornell University, advised by Prof. Kilian Q. Weinberger and Prof. Serge Belongie. My research interests mostly lies in machine learning and computer learning for real world applications.

Before joining Cornell University, I had the pleasure of working on a variety of topics including autonomous driving, deep reinforcement learning, and applications of natural language processing.

View my professional summary here.

Interests
  • Machine Learning
  • Robotics - Autonomous Driving
  • Computer Vision
Education

  • PhD in Computer Science, 2020 - Present

    Cornell University

  • MS in Electrical Engineering and Computer Sciences, 2018 - 2019

    University of California, Berkeley

  • BSc in Electrical Engineering and Computer Sciences, 2015 - 2018

    University of California, Berkeley

Experience

 
 
 
 
 
Research Intern
Facebook AI
May 2021 – Sep 2021 New York
 
 
 
 
 
AI Resident
Uber ATG
Jun 2019 – Jun 2020 Toronto

Publications

(* denotes equal contribution)

Stay Positive: Non-Negative Image Synthesis for Augmented Reality
In applications such as optical see-through and projector augmented reality, producing images amounts to solving non-negative image …
Katie Luo, Guandao Yang*, Wenqi Xian, Harald Haraldsson, Bharath Hariharan, Serge Belongie
PDF Cite Code Project
Stay Positive: Non-Negative Image Synthesis for Augmented Reality
Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting
In this paper, we address the important problem in self-driving of forecasting multi-pedestrian motion and their shared scene occupancy …
Katie Luo, Sergio Casas*, Renjie Liao, Xinchen Yan, Yuwen Xiong, Wenyuan Zeng, Raquel Urtasun
PDF Cite Video
Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting
In order to plan a safe maneuver an autonomous vehicle must accurately perceive its environment, and understand the interactions among …
Sergio Casas*, Cole Gulino*, Simon Suo*, Katie Luo, Renjie Liao, Raquel Urtasun
PDF Cite Video
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting
Learning robust rewards with adversarial inverse reinforcement learning
Reinforcement learning provides a powerful and general framework for decision making and control, but its application in practice is …
Justin Fu, Katie Luo, Sergey Levine
PDF Cite
Learning robust rewards with adversarial inverse reinforcement learning