Emily KimI 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. |
Codec Avatar Studio: Paired Human Captures
for Complete, Driveable, and Generalizable Avatars
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Exploring the Impact of Rendering Method and Motion Quality
on Model Performance when Using a Multi-view Synthetic Data for Action
Recognition
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Texture- and Shape-based Adversarial Attacks for Vehicle Detection in Synthetic
Overhead Imagery
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Sensor-Based Evaluation of Physical Therapy Exercises
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