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John Just

7 papers hereh-index 542 citations10 works total

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

author position
  • sole author1
  • first author1
  • middle author2
  • last author2

Across the 6 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.LG3
  • eess.IV1
same name
  • John Just — 2 papers

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
20192022
most citedDeep Generative Models Strike Back! Improving Understanding and Evaluation in Light of Unmet Expectations for OoD Data

3 citations · 7 across the 5 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2022★ 1 cited

CLAWS: Contrastive Learning with hard Attention and Weak Supervision

Jansel Herrera-Gerena, Ramakrishnan Sundareswaran, John Just +2

Learning effective visual representations without human supervision is a long-standing problem in computer vision. Recent advances in self-supervised learning algorithms have utili…

cs.CV2020

Generalizable semi-supervised learning method to estimate mass from sparsely annotated images

Muhammad K. A. Hamdan, Diane T. Rover, Matthew J. Darr +1

Mass flow estimation is of great importance to several industries, and it can be quite challenging to obtain accurate estimates due to limitation in expense or general infeasibilit…

cs.CV2019

Mass Estimation from Images using Deep Neural Network and Sparse Ground Truth

Muhammad K A Hamdan, Daine T. Rover, Matthew J. Darr +1

Supervised learning is the workhorse for regression and classification tasks, but the standard approach presumes ground truth for every measurement. In real world applications, lim…

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