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Lars Petersson

3 papers here

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

author position
  • middle author2
  • last author1

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV3
ORCID 0000-0002-0103-1904

identity via Semantic Scholar / OpenAlex

most citedBuilt-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation

29 citations · 42 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2019

Zero-shot Learning of 3D Point Cloud Objects

Ali Cheraghian, Shafin Rahman, Lars Petersson

Recent deep learning architectures can recognize instances of 3D point cloud objects of previously seen classes quite well. At the same time, current 3D depth camera technology all…

cs.CV2016★ 13 cited

Deep Action- and Context-Aware Sequence Learning for Activity Recognition and Anticipation

Mohammad Sadegh Aliakbarian, Fatemehsadat Saleh, Basura Fernando +3

Action recognition and anticipation are key to the success of many computer vision applications. Existing methods can roughly be grouped into those that extract global, context-awa…

cs.CV2016★ 29 cited

Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation

Fatemehsadat Saleh, Mohammad Sadegh Ali Akbarian, Mathieu Salzmann +3

Pixel-level annotations are expensive and time consuming to obtain. Hence, weak supervision using only image tags could have a significant impact in semantic segmentation. Recently…

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