chanaaro [at] usc [dot] edu  /  Los Angeles, CA

I am a second-year PhD student in computer science at the University of Southern California (USC), advised by Fei Sha.

Before joining ShaLab at USC, I earned a master's degree in robotics from the University of Pennsylvania and a bachelor's degree in electrical engineering from the University of Maryland, College Park.

I have also spent time at Google as an engineering intern on the Android Camera team.

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My research lies at the intersection of machine learning, computer vision, and robotics.

Egocentric Basketball Motion Planning from a Single First-Person Image

Gedas Bertasius, Aaron Chan, Jianbo Shi

CVPR 2018   pdf / arXiv / video

We introduce a model for generating basketball player motion trajectories from a single first-person image. These synthesized motion sequences could be used for predicting and analyzing player behavior.

Learning an Egocentric Basketball Ghosting Model using Wearable Cameras and Deep Convolutional Networks

Gedas Bertasius, Aaron Chan, Jianbo Shi

SSAC 2018   pdf / poster

This paper was one of the twelve selected as a poster in the 2018 MIT Sloan Sports Analytics Conference (SSAC) Research Paper Competition and is based on our CVPR 2018 paper "Egocentric Basketball Motion Planning from a Single First-Person Image."

6-DoF Object Pose from Semantic Keypoints

Georgios Pavlakos, Xiaowei Zhou, Aaron Chan, Konstantinos G. Derpanis, Kostas Daniilidis

ICRA 2017   pdf / arXiv / project page / code / video

We propose a method for estimating the 6-DoF pose of an object from a single image by localizing the object's semantic keypoints and fitting these keypoints to the object's deformable shape model.

Scalable Vision System for Mouse Homecage Ethology

Ghadi Salem, Jonathan Krynitsky, Brett Kirkland, Eugene Lin, Aaron Chan, Simeon Anfinrud, Sarah Anderson, Marcial Garmendia-Cedillos, Rhamy Belayachi, Juan Alonso-Cruz, Joshua Yu, Anthony Iano-Fletcher, George Dold, Tom Talbot, Alexxai V. Kravitz, James B. Mitchell, Guanhang Wu, John U. Dennis, Monson Hayes, Kristin Branson, Thomas Pohida

ACIVS 2016   pdf / project page / video

Our fully-automated system for video-based lab mouse behavior analysis can make drug-efficacy, animal model development, and phenotyping studies much more efficient.

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