Sotabase

Career

· Research Intern, Facebook – FAIAR2021–2021
· PhD in Computer Science, Cornell University2020–2025
· PhD Student, Cornell University2020–
· Research Assistant, ML Core Lab2020–
· Research Assistant, SE(3) Computer Vision Group at Cornell Tech2020–2021
· Postdoctoral Scholar, Aeronautics and Astronautics, Stanford University2020–
· AI Resident, Uber Advanced Technologies Group (acquired by Aurora)2019–2020
· Intern, Google – YouTube2018–2018
· MS in Electrical Engineering and Computer Sciences, University of California, Berkeley2018–2019
· Research Intern, Berkeley Robotic and AI Learning Lab2017–2019
· Intern, Wish, Context Logic2017–2017
· Software Intern, IBM2016–2016
· Bachelor of Science, University of California, Berkeley2015–2018
· BSc in Electrical Engineering and Computer Sciences, University of California, Berkeley2015–2018
· AI Resident, Uber ATG

Publications (16)

Learning Robust Rewards with Adversarial Inverse Reinforcement Learning
International Conference on Learning Representations · 2017
819
cited
Learning Robust Rewards with Adverserial Inverse Reinforcement Learning
International Conference on Learning Representations · 2018
238
cited
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting
European Conference on Computer Vision · 2020
181
cited
Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions
Computer Vision and Pattern Recognition · 2022
68
cited
Learning to Detect Mobile Objects from LiDAR Scans Without Labels
Computer Vision and Pattern Recognition · 2022
51
cited
Hindsight is 20/20: Leveraging Past Traversals to Aid 3D Perception
International Conference on Learning Representations · 2022
18
cited
Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery
Neural Information Processing Systems · 2023
15
cited
Unsupervised Adaptation from Repeated Traversals for Autonomous Driving
Neural Information Processing Systems · 2023
14
cited
Safety-Oriented Pedestrian Occupancy Forecasting
IEEE/RJS International Conference on Intelligent RObots and Systems · 2021
9
cited
Safety-Oriented Pedestrian Motion and Scene Occupancy Forecasting
arXiv.org · 2021
6
cited
Pre-Training LiDAR-Based 3D Object Detectors Through Colorization
International Conference on Learning Representations · 2023
5
cited
Stay Positive: Non-Negative Image Synthesis for Augmented Reality
Computer Vision and Pattern Recognition · 2021
5
cited
Better Monocular 3D Detectors with LiDAR from the Past
IEEE International Conference on Robotics and Automation · 2024
2
cited
Identifying Reward Functions using Anchor Actions
2020
Residual Aligned: Gradient Optimization for Non-Negative Image Synthesis
arXiv.org · 2022
Unsupervised Domain Adaptation for Self-Driving from Past Traversal Features
2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) · 2023
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