Scholar
Gaurav Parmar
Google Scholar ID: xDJzuz8AAAAJ
Carnegie Mellon University
Citations & Impact
Citations
1,628
H-index
10
i10-index
10
Publications
17
Co-authors
7
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers, including:
- - One-Step Image Translation with Text-to-Image Models (2024)
- - On the Content Bias in Fréchet Video Distance (CVPR, 2024)
- - CoFRIDA: Self-Supervised Fine-Tuning for Human-Robot Co-Painting (ICRA 2024, Best Paper Award (HRI), Best Demo Award Finalist)
- - Zero-shot Image-to-Image Translation (SIGGRAPH, 2023)
- - Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing (CVPR, 2022)
- - On Aliased Resizing and Surprising Subtleties in GAN Evaluation (CVPR, 2022)
- - Dual Contradistinctive Generative Autoencoder (CVPR, 2021)
- - Guided Variational Autoencoder for Disentanglement Learning (CVPR, 2020)
- - Geometry-Aware End-to-End Skeleton Detection (British Machine Vision Conference, 2019)
- - Autonomous Smart Wheelchair: A Social Solution for Individual Need (CHI Conference on Human Factors in Computing Systems EA, 2019)
Research Experience
- Spent two summers (2021 and 2022) interning at Adobe Research, working with Krishna Kumar Singh, Yijun Li, Cynthia Lu, and Richard Zhang.
Education
- Received an undergraduate degree in Computer Science (with highest honors) from the University of California, San Diego in 2020; currently a PhD student at Carnegie Mellon University, co-advised by Jun-Yan Zhu and Srinivasa Narasimhan.
Background
- Research interests include Computer Vision, Machine Learning, and Robotics. Prior to joining Carnegie Mellon University, worked with Zhuowen Tu and Jack Silberman at UCSD.
Miscellany
- Personal projects include:
- - Modified RC car, trained with behavior cloning
- - Simulated RC Car, RL agent trained with Soft Actor Critic to drive autonomously in a simulator
- - SEDS: Project Colossus, static fire rocket engine test stand
