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researcher

Evin Pınar Örnek

TU Munich

15 papers hereh-index 12583 citations17 works total

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

author position
  • sole author1
  • first author3
  • middle author11

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • cs.CV11
  • cs.RO3
  • cs.LG1
affiliations
  • TU Munich

identity via Semantic Scholar / OpenAlex

activity
20182024
most citedCo-Planar Parametrization for Stereo-SLAM and Visual-Inertial Odometry

32 citations · 63 across the 15 of their papers we have counts for

collaborators
Showing 2021Show all

3 papers · 1 filter

cs.CV2021

Object-aware Monocular Depth Prediction with Instance Convolutions

Enis Simsar, Evin Pınar Örnek, Fabian Manhardt +3

With the advent of deep learning, estimating depth from a single RGB image has recently received a lot of attention, being capable of empowering many different applications ranging…

cs.CV2021

3D Compositional Zero-shot Learning with DeCompositional Consensus

Muhammad Ferjad Naeem, Evin Pınar Örnek, Yongqin Xian +2

Parts represent a basic unit of geometric and semantic similarity across different objects. We argue that part knowledge should be composable beyond the observed object classes. To…

cs.CV2021★ 2 cited

Multimodal Semantic Scene Graphs for Holistic Modeling of Surgical Procedures

Ege Özsoy, Evin Pınar Örnek, Ulrich Eck +2

From a computer science viewpoint, a surgical domain model needs to be a conceptual one incorporating both behavior and data. It should therefore model actors, devices, tools, thei…

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