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researcher

Jason J. Corso

16 papers hereh-index 479 citations17 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author8
  • last author8

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • cs.CV12
  • cs.HC2
  • cs.AI1
  • cs.SE1
same name
  • Jason J. Corso — 65 papers, h 44
  • Jason J. Corso — 5 papers, h 2
  • Jason J. Corso — 4 papers, h 1
  • Jason J. Corso — 2 papers
  • Jason J. Corso — 2 papers, h 2
  • Jason J. Corso — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedSurgAtlas: A Large-Scale Surgical Video-Language Dataset with 2,391 Hours of Open and Minimally Invasive Surgery

1 citations · 2 across the 16 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.CV2025

Mistake Attribution: Fine-Grained Mistake Understanding in Egocentric Videos

Yayuan Li, Aadit Jain, Filippos Bellos +1

We introduce Mistake Attribution (MATT), a new task for fine-grained understanding of human mistakes in egocentric videos. While prior work detects whether a mistake occurs, MATT a…

cs.CV2025

When to Think and When to Look: Uncertainty-Guided Lookback

Jing Bi, Filippos Bellos, Junjia Guo +8

Test-time thinking (that is, generating explicit intermediate reasoning chains) is known to boost performance in large language models and has recently shown strong gains for large…

cs.CV2025

Towards Consistent Long-Term Pose Generation

Yayuan Li, Filippos Bellos, Jason Corso

Current approaches to pose generation rely heavily on intermediate representations, either through two-stage pipelines with quantization or autoregressive models that accumulate er…

cs.CV2025★ 1 cited

Towards Effective Human-in-the-Loop Assistive AI Agents

Filippos Bellos, Yayuan Li, Cary Shu +3

Effective human-AI collaboration for physical task completion has significant potential in both everyday activities and professional domains. AI agents equipped with informative gu…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.