publications

As to why I got drawn to machine learning or computer vision, I do believe it is one of the richest modalities but also read this excerpt when I was quite young, from the book, “Visual Reconstruction” by Andrew Blake and Andrew Zisserman, some of my favourite researchers:

We count it a great privilege to be working in a field as exciting as Vision. On the one hand there is all the satisfaction of making things that work - of specifying, in mathematical terms, processes that handle visual information and then using computers to bring that mathematics to life. On the other hand there is a sense of awe (when time permits) at the sheer intricacy of creation. Of course it is the Biological scientists who are right in there; but computational studies, in seeking to define Visual processes in mathematical language, have made it clear just how intrinsically complex must be the chain of events that constitutes “seeing something”.

2024

  1. airletters.png
    AirLetters: An Open Video Dataset of Characters Drawn in the Air
    Rishit Dagli, Guillaume Berger, Joanna Materzynska, and 2 more authors
    ECCVW 2024
  2. nerfus.png
    NeRF-US: Removing Ultrasound Imaging Artifacts from Neural Radiance Fields in the Wild
    Rishit DagliAtsuhiro HibiRahul G. Krishnan, and 1 more author
    PMLR 2024
  3. s2s.png
    SEE-2-SOUND custom_emoji : Zero-Shot Spatial Environment-to-Spatial Sound
    Rishit DagliShivesh PrakashRobert Wu, and 1 more author
    ICMLW 2024
  4. finch.png
    Beyond the Visible: Jointly Attending to Spectral and Spatial Dimensions with HSI-Diffusion for the FINCH Spacecraft
    Ian VyseRishit DagliDav Vrat Chadha, and 26 more authors
    SSC 2024 (Oral)
  5. masa.png
    Tuning In custom_emoji : Analysis of Audio Classifier Performance in Clinical Settings with Limited Data
    Hamza MahdiEptehal NashnoushRami Saab, and 4 more authors
    PMLR 2024

2023

  1. diffuseraw.jpg
    DiffuseRAW: End-to-End Generative RAW Image Processing for Low-Light Images
    Rishit Dagli
    arXiv preprint arXiv:2402.18575 2023
  2. truck_mnerf.png
    PyTorch Made Efficient for the Edge: WASI-NN
    Rishit Dagli, and Shivay Lamba
    PyTorch Conference 2023
  3. wasm_akri.png
    Orchestrating Machine Learning on Edge Devices with PyTorch and WebAssembly (Oral)
    Rishit Dagli, and Shivay Lamba
    PyTorch Conference 2023 (Oral)
  4. astroformer.png
    Astroformer: More Data Might Not be All You Need for Classification
    Rishit Dagli
    ICLRW 2023
  5. cppe5.png
    CPPE-5: Medical Personal Protective Equipment Dataset
    Rishit Dagli, and Ali Mustufa Shaikh
    SN Computer Science 2023

2021