Rishit Dagli
CS, Math, Stats Undergrad at UofT, DGP Lab, Vector Institute
I am mainly interested in learning algorithms, computer vision (visual generation, vision-language models, and neural rendering), learning theory, and math. I have also represented my country in international olympiads. Feel free to talk with me about anything CS, Math, Robotics, or Physics.
I will be pausing my undergrad in January 2025 to join NVIDIA Research to work on research around neural rendering and generation. At UofT, I have been lucky to be supervised by these professors who I admire: Nandita Vijaykumar, Rahul G. Krishnan, Pascal Tyrrell, David Lindell, and Houman Khosravani. In industry after I switched boats to research, I have been lucky to be supervised by these people who I admire: Roland Memisevic and Guillaume Berger from my time at Qualcomm AI Research, Josh Mesout from my time at Civo. In high school, I have been lucky to be supervised by these people who I admire: Ali Mustufa and Prof. Suleyman Eken.
In a past life, I used to work on software engineering and robotics. I contribute extensively to/ maintain popular open-source projects like TensorFlow, PyTorch Foundation, Kubernetes, Kubeflow, PapersWithCode, freeCodeCamp among others. I still work on building a few open-source projects, some of which have been pretty popular. Seeing my work at a rather young age, I was invited to speak at 2 TEDx and 1 TED-Ed events.
news
Oct 3, 2024 | We released a new large-scale dataset for video understanding. Arxiv. |
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Aug 1, 2024 | Received an in-course excellence scholarship for students at UofT. |
Feb 13, 2024 | Received the T-CAIREM award for students at UofT. |
Jun 18, 2023 | We released the first vision (images and video)-spatial audio model as a step towards complete generation. Arxiv. Code and Web Demo. |
selected publications
- NeRF-US: Removing Ultrasound Imaging Artifacts from Neural Radiance Fields in the WildPMLR 2024
- SEE-2-SOUND : Zero-Shot Spatial Environment-to-Spatial SoundICMLW 2024