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Kostas Daniilidis

71 papers hereh-index 7827k citations348 works total

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

author position
  • middle author19
  • last author52

Across the 71 of 71 papers where every author was matched, so the position is known.

fields
  • cs.CV49
  • cs.RO9
  • cs.LG7
  • eess.SY2
  • cs.AI1
  • cs.MA1
same name
  • Kostas Daniilidis — 66 papers, h 25
  • Kostas Daniilidis — 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
20132023
most citedEvent-based Vision: A Survey

2.3k citations · 4.5k across the 63 of their papers we have counts for

collaborators
Showing 2015Show all

4 papers · 1 filter

cs.CV2015★ 39 cited

Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular Video

Xiaowei Zhou, Menglong Zhu, Spyridon Leonardos +2

This paper addresses the challenge of 3D full-body human pose estimation from a monocular image sequence. Here, two cases are considered: (i) the image locations of the human joint…

cs.CV2015★ 163 cited

Sparse Representation for 3D Shape Estimation: A Convex Relaxation Approach

Xiaowei Zhou, Menglong Zhu, Spyridon Leonardos +1

We investigate the problem of estimating the 3D shape of an object defined by a set of 3D landmarks, given their 2D correspondences in a single image. A successful approach to alle…

cs.CV2015★ 10 cited

Multi-Image Matching via Fast Alternating Minimization

Xiaowei Zhou, Menglong Zhu, Kostas Daniilidis

In this paper we propose a global optimization-based approach to jointly matching a set of images. The estimated correspondences simultaneously maximize pairwise feature affinities…

cs.CV2015★ 3 cited

Pose and Shape Estimation with Discriminatively Learned Parts

Menglong Zhu, Xiaowei Zhou, Kostas Daniilidis

We introduce a new approach for estimating the 3D pose and the 3D shape of an object from a single image. Given a training set of view exemplars, we learn and select appearance-bas…

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