Rishit Dagli
I am interested in learning algorithms, computer vision, graphics and math. My work builds models that can produce physically realistic dynamic worlds as well as understand/ interact with our world.
Currently, I’m a research intern at and a 1st year PhD student at University of Toronto with Sanja Fidler and David I.W. Levin.
I was an undergrad CS/ Math student at University of Toronto. I took a 1-year break from my undergrad to work at as a research intern on AI/ vision/ robotics. During undergrad, I was a research intern at AI Research on video-audio-language models (VLMs). I was also a research engineering intern at a startup on improving inference of multimodal models.
selected publications
-
Squeeze3D: Extreme Neural Compression with Latent Space Bridging
TMLR 2026 -
Adaptive Volumetric Mechanical Property Fields Invariant to Resolution
ICML 2026 -
RoboLab: A High-Fidelity Simulation Benchmark for Analysis of Task Generalist Policies
RSS 2026 (Oral) -
FreeForm: Reduced-Order Deformable Simulation from Particle-Based Skinning Eigenmodes
CVPR 2026 (* joint first authors)press:SIGGRAPH Hands-On Lab -
VoMP: Predicting Volumetric Mechanical Property Fields
ICLR 2026 -
Can Vision-Language Models Answer Face to Face Questions in the Real-World?
ICLR 2026 (* joint first authors)press:Thinking Machines Lab -
SEE-2-SOUND: Zero-Shot Spatial Environment-to-Spatial Sound
SIGGRAPH Posters 2025