I am a research scientist at NVIDIA and I am interested in generative AI.
Prior to that, I obtained my Ph.D. at MIT where I was advised by Phillip Isola and Alberto Rodriguez.
Generating correspondences with Neural Radiance Fields (NeRF) enables robotic manipulation of objects (e.g., forks) that can't be reconstructed by RGB-D cameras or multi-view stereo.
iNeRF: Inverting Neural Radiance Fields for Pose Estimation
Lin Yen-Chen,
Pete Florence,
Jonathan T. Barron,
Alberto Rodriguez,
Phillip Isola,
Tsung-Yi Lin
A dataset for meta-learning dynamic models.
It consists of 250 pushes for each of 250 objects, all recorded with RGB-D camera and a high precision tracking system.
Tactics for Adversarial Attack on Deep Reinforcement Learning Agents
Yen-Chen Lin,
Zhang-Wei Hong,
Yuan-Hong Liao,
Meng-Li Shih,
Ming-Yu Liu,
Min Sun