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Abhishek Kar

4 papers hereh-index 182k citations29 works total

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

author position
  • first author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
same name
  • Abhishek Kar — 4 papers
  • Abhishek Kar — 2 papers
  • Abhishek Kar — 1 paper
  • Abhishek Kar — 1 paper

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
20172022
most citedLearning a Multi-View Stereo Machine

216 citations · 263 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2022★ 38 cited

SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections

Mark Boss, Andreas Engelhardt, Abhishek Kar +5

Inverse rendering of an object under entirely unknown capture conditions is a fundamental challenge in computer vision and graphics. Neural approaches such as NeRF have achieved ph…

cs.CV2021★ 2 cited

SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpainting

Varun Jampani, Huiwen Chang, Kyle Sargent +8

Single image 3D photography enables viewers to view a still image from novel viewpoints. Recent approaches combine monocular depth networks with inpainting networks to achieve comp…

cs.CV2019★ 7 cited

Learning Independent Object Motion from Unlabelled Stereoscopic Videos

Zhe Cao, Abhishek Kar, Christian Haene +1

We present a system for learning motion of independently moving objects from stereo videos. The only human annotation used in our system are 2D object bounding boxes which introduc…

cs.CV2017★ 216 cited

Learning a Multi-View Stereo Machine

Abhishek Kar, Christian Häne, Jitendra Malik

We present a learnt system for multi-view stereopsis. In contrast to recent learning based methods for 3D reconstruction, we leverage the underlying 3D geometry of the problem thro…

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