Sumith Kulal

Biography

I am a research scientist at Stability AI. My research interests are in computer vision and machine learning. I am currently focusing on large-scale generative models and related problems. Previously, I received my PhD in Computer Science from Stanford University. I was part of the Stanford Vision and Learning lab, co-advised by Alex Aiken and Jiajun Wu. Before that, I spent four wonderful years as an undergraduate student at IIT Bombay.

Selected Publications

Putting People in Their Place: Affordance-Aware Human Insertion into Scenes

Sumith Kulal, Tim Brooks, Alex Aiken, Jiajun Wu, Jimei Yang, Jingwan Lu, Alexei A. Efros, Krishna Kumar Singh.

CVPR 2023 | in the press

Unsupervised Learning of Shape Programs with Repeatable Implicit Parts

Boyang Deng*, Sumith Kulal*, Zhengyang Dong, Congyue Deng,
Yonglong Tian, Jiajun Wu.

NeurIPS 2022  

Programmatic Concept Learning for Human Motion Description and Synthesis

Sumith Kulal*, Jiayuan Mao*, Alex Aiken+, Jiajun Wu+.

CVPR 2022  

Hierarchical Motion Uderstanding via Motion Programs

Sumith Kulal*, Jiayuan Mao*, Alex Aiken, Jiajun Wu.

CVPR 2021  

SPoC: Search-based Pseudocode to Code

Sumith Kulal*, Panupong Pasupat*, Kartik Chandra, Mina Lee, Oded Padon, Alex Aiken, Percy Liang.
NeurIPS 2019

Many thanks to Shumo Chu for the site inspiration.