Korrawe Karunratanakul
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Hi! I am Korrawe Karunratanakul (กรวีร์ การุณรัตนกุล). I am a machine learning researcher who aspires to advance our understanding of how humans interact with the 3D world and leverage it to improve our daily life (Generative models, 3D understanding, Motion modeling, Augmented and Virtual Reality).
Currently, I am a PhD student at ETH Zurich advised by Prof. Siyu Tang. I was also co-advised by Prof. Otmar Hilliges in the early years of my PhD.

Before that, I was a research intern at MPI-IS supervised by Siyu and Krikamol Muandet from July 2019 to January 2020. I obtained my master's and bachelor's degrees from Chulalongkorn University, Thailand, advised by Dr. Ekapol Chuangsuwanich and Dr. Sira Sriswasdi.

I will graduate around the end of 2024 and will be looking forward to a new chapter of my life. I am open to any opportunities that align well with my interests and background.

DNO: Optimizing Diffusion Noise Can Serve As Universal Motion Priors
GMD: Controllable Human Motion Synthesis via Guided Diffusion Models
HARP: Personalized Hand Reconstruction from a Monocular RGB Video
Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Korrawe Karunratanakul, Sergey Prokudin, Otmar Hilliges, Siyu Tang
HALO: A Skeleton-Driven Neural Occupancy Representation for Articulated Hands
Reducing Spelling Inconsistencies in Code-Switching ASR using Contextualized CTC Loss
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021
Grasping Field: Learning Implicit Representations for Human Grasps
International Conference on 3D Vision (3DV), 2020
(Best Paper Award)
Uncovering thousands of new peptides with sequence-mask-search hybrid de novo peptide sequencing framework