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TheShadow29/README.md

Arka Sadhu

Senior Research Scientist on the Surreal team at Meta Reality Labs, working on grounded video understanding for egocentric and long videos, multimodal reasoning, and vision-language research.

My work focuses on grounding language in visual data, especially first-person video, long-video understanding, and multimodal systems for richer visual reasoning. More at theshadow29.github.io.

What I'm Doing

  • Researching grounded video understanding for egocentric and long videos on the Surreal team at Meta Reality Labs.
  • Building multimodal models and evaluation setups for first-person video, visual grounding, and structured visual reasoning.
  • Exploring long-video understanding, streaming multimodal systems, and research tools that make these models more usable.
  • Sharing papers, code, and curated resources through projects such as awesome-grounding, VidSitu, and Video-QAP.

Connect

Website · Google Scholar · CV · LinkedIn · Twitter/X · Email

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  1. awesome-grounding awesome-grounding Public

    awesome grounding: A curated list of research papers in visual grounding

    1.1k 105

  2. research-advice-list research-advice-list Public

    A compilation of research advice.

    221 16

  3. VidSitu VidSitu Public

    [CVPR21] Visual Semantic Role Labeling for Video Understanding (https://arxiv.org/abs/2104.00990)

    Python 61 8

  4. vognet-pytorch vognet-pytorch Public

    [CVPR20] Video Object Grounding using Semantic Roles in Language Description (https://arxiv.org/abs/2003.10606)

    Python 69 7

  5. zsgnet-pytorch zsgnet-pytorch Public

    Official implementation of ICCV19 oral paper Zero-Shot grounding of Objects from Natural Language Queries (https://arxiv.org/abs/1908.07129)

    Python 71 12

  6. Video-QAP Video-QAP Public

    Repository for the paper Video Question Answering with Phrases via Semantic Roles

    Python 4