Hi everyone! I'm a 1st year Computer Science PhD Student at UC Berkeley. I am currently advised by Professor Pieter Abbeel as a part of Berkeley AI Research.
I am interested in reinforcement learning, unsupervised learning and self-supervised learning. My current research is focused on learning models for accurate video prediction and generation.
An efficient and scalable video generation architecture that first learns a VQ-VAE to compress video data, and then learns a GPT-style transformer to model discrete latent codes
Using contrastive methods to learn plannable representations for manipulating deformable objects such as rope and cloth
Performing image interpolation and semantic manipulation (e.g. hair color, smiling, gender) with a PixelCN on facial images using Fisher scores as an embedding space
Sim-to-Real transfer to learning a cloth-spreading policy on a real robot with any human demonstrations