SUPASORN

SUWAJANAKORN

ศุภศรณ์ สุวจนกรณ์

SUPASORN SUWAJANAKORN

ABOUT

Hi! I'm Supasorn or Aek. I'm now a lecturer at VISTEC, a new research institute in Rayong, Thailand with a really nice, foresty campus. I'm looking for students, RAs/interns, postdocs, and all sorts of collaborators. Shoot me an email if you're interested. Also for PhD, please apply directly here.

News / Talks

• Two papers [1] [2] with one Oral @ CVPR 2024
• One paper [1] @ ICLR 2024!
• Three papers [1] [2] [3] @ ICCV 2023
• Two papers [1] [2] @ CVPR 2023
• One paper [1] @ ICLR 2023
• Area Chair for ICCV 2023
• Outstanding reviewer CVPR 2023
• Best Oral Presentation Award (AI Session) from PMU-B Brainpower Congress 2022.
• Our lab was awarded Google Research Gift!
• Our lab won ThaiSC HPC sponsorship!
• One Oral @ CVPR 2022 (Diffusion Autoencoders)
• Our lab won "AI for All" frontier research grant 2021! (Research and Innovation Thailand PMU)
• Our lab received an overseas Adobe Research Gift!
• Area Chair for CVPR 2022
• Two oral papers @ CVPR 2021; One best paper candidate!
• Our lab won Frontier Research Grant from Research and Innovation Thailand
• One paper accepted to ICDE 2021
• Outstanding reviewer awards: CVPR 2019, CVPR 2021
• KeyPointNet Oral @ NeurIPS 2018, Montreal
• Keynote Speaker @ O'Reilly AI Conference 2018, London
• Digital Thailand Big Bang 2018, Bangkok
• TED 2018, Vancouver

Services

• Area Chair: ICCV 2023, CVPR 2022
• Reviewer: CVPR (outstanding reviewer x 3), ICCV, ECCV, SIGGRAPH + Asia, TPAMI, IJCV, TOG
• Program Chair: MLRS 2023

Bio

Before settling down in Rayong, I was a research resident at Google Brain working on geometric understanding in deep learning and image synthesis. I finished my Ph.D. from UW working with Prof. Steve Seitz and Prof. Ira Kemelmacher in Graphics-Vision group GRAIL. My goal is to bring computer vision out of the lab into the real world and make it really work in the wild. I went to Cornell for undergrad, and had a great pleasure working with Prof. John Hopcroft on social graph algorithms, and later got inspired by Prof. Noah Snavely with his computer vision class. I love hacking, coding, tackling hard problems, and I try very hard to make my solutions as simple as possible.

Contact

My first name at gmail. If I don't reply, feel free to ping me. It's likely I lost it in the pile of 30K+ mails.

RESEARCH

CON$ULTING

WORK EXPERIENCE

SOURCE CODE

My work consists of multiple large components with ten of thousands lines of code, so this will take time and I may not be able to provide support. The "research-code" is neither polished nor properly commented, but I decided to release it now for research and educational purposes. No commercial use allowed.

Synthesizing Obama: Learning Lip Sync from Audio

Here's the network training code that takes as input processed MFCC coefficients and outputs mouth fiducial points represented as PCA coefficients.

Uncalibrated Photometric Stereo

Future release.

3D Optical Flow

Future release.

PERSONAL

My other interests include: photography, 3D printing, product design, graphics design, software dev, startup, sitting in a hammock, getting lost for fun. I play badminton and squash and sports that involve gliding and wheels such as skiing, snowboarding, skating. I flew off my bike a few times and enjoyed numerous wipe-outs from surfing, but still survived. I love hacking and building things and here are some of things I built.

Designs