Rishit Dagli

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I am interested in learning algorithms, computer vision, graphics, learning theory, 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 NVIDIA. I am an undergraduate student in CS and Math at UofT University of Toronto. Previously, I took a 1-year break from my undergrad to work at NVIDIA as a research intern at the intersection of AI, vision, and graphics. Before that, I was a research intern at Qualcomm AI Research with Roland Memisevic, Guillaume Berger on video-audio-language models (VLMs). Even before that, I was a research engineering intern at CivoCivo with Josh Mesout where I focused on improving inference performance of multimodal models.

In a past life, I used to work on software engineering and building robot hardware. I used to contribute to some popular open-source software.

selected publications

  1. Adaptive Volumetric Mechanical Property Fields Invariant to Resolution
    ICML 2026
  2. RoboLab: A High-Fidelity Simulation Benchmark for Analysis of Task Generalist Policies
    RSS 2026
  3. FreeForm: Reduced-Order Deformable Simulation from Particle-Based Skinning Eigenmodes
    CVPR 2026 (* joint first authors)
  4. VoMP: Predicting Volumetric Mechanical Property Fields
    ICLR 2026
  5. qivd.png
    Can Vision-Language Models Answer Face to Face Questions in the Real-World?
    ICLR 2026 (* joint first authors)
  6. squeeze3d.png
    Squeeze3D: Your 3D Generation Model is Secretly an Extreme Neural Compressor
    arXiv 2025
  7. SEE-2-SOUND: Zero-Shot Spatial Environment-to-Spatial Sound
    SIGGRAPH Posters 2025