Emily Kim

I am a PhD student at Carnegie Mellon University (CMU) Robotics Institute (RI), advised by Professor Jessica Hodgins. My research focus spans broadly in the field of Computer Vision and Graphics, particularly in generating human datasets for various tasks and vehicle detection. I obtained my Bachelor of Science in Joint Computer Science-Math at Harvey Mudd College.

My current research focuses on human dataset for generating universal Codec Avatars and evaluating the avatars generated from cross identity subjects (with one subject driving the appearance and the other subject driving the expression) using the autoencoder. In my previous research, I have focused on RGB video-based human motion tracking for human action recognition (HAR) for everyday gestures and error diagnosis of the exercise repetitions performed during physical therapy. My research field also spans to the practical adversarial attaacks on vehicle detection from satellite images. We use both the texture (2D) and the mesh-based (3D) attack that attacks both the computer vision-based detection algorithms as well as the human perceptive system.

Email [kimemily12 at gmail dot com] · CV [updated Mar 2024]

News

Publications

Codec Avatar Studio: Paired Human Captures for Complete, Driveable, and Generalizable Avatars
Julieta Martinez, Emily Kim, Javier Romero, Timur Bagautdinov, Shunsuke Saito, Shoou-I Yu, Stuart Anderson, Michael Zollhöfer, Te-Li Wang, Shaojie Bai, Shih-En Wei, Rohan Joshi, Wyatt Borsos, Tomas Simon, Jason Saragih, Paul Theodosis, Alexander Greene, Anjani Josyula, Silvio Mano Maeta, Andrew I. Jewett, Simon Venshtain, Christopher Heilman, Yueh-Tung Chen, Sidi Fu, Mohamed Ezzeldin A. Elshaer, Tingfang Du, Longhua Wu, Shen-Chi Chen, Kai Kang, Michael Wu, Youssef Emad, Steven Longay, Ashley Brewer, Hitesh Shah, James Booth, Taylor Koska, Kayla Haidle, Matt Andromalos, Joanna Hsu, Thomas Dauer, Peter Selednik, Tim Godisart, Scott Ardisson, Matthew Cipperly, Ben Humberston, Lon Farr, Bob Hansen, Peihong Guo, Dave Braun, Steven Krenn, He Wen, Lucas Evans, Natalia Fadeeva, Matthew Stewart, Gabriel Schwartz, Divam Gupta, Gyeongsik Moon, Kaiwen Guo, Yuan Dong, Yichen Xu, Takaaki Shiratori, Fabian Prada, Bernardo R. Pires, Bo Peng, Julia Buffalini, Autumn Trimble, Kevyn McPhail, Melissa Schoeller, Yaser Sheikh
Neural Information Processing Systems (NeurIPS 2024 Datasets and Benchmarks)
[paper], [Dataset Website], [code]

Exploring the Impact of Rendering Method and Motion Quality on Model Performance when Using a Multi-view Synthetic Data for Action Recognition
Emily Kim*, Stanislav Panev*, Sai Abhishek Si Namburu, Desislava Nikolova, Celso de Melo, Fernando De la Torre, Jessica Hodgins
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2024)
[Open Access]

Texture- and Shape-based Adversarial Attacks for Vehicle Detection in Synthetic Overhead Imagery
Mikael Yeghiazaryan, Sid Namburu, Emily Kim, Stanislav Panev, Fernando de la Torre, Jessica Hodgins, Celso de Melo
Submitted to WACV 2025

Sensor-Based Evaluation of Physical Therapy Exercises
Andrew Whitford, Emily Kim, Eni Halilaj, Keelan Enseki, Adam Popchak, Jessica Hodgins
International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2021)
[paper]

Experiences