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R. Raskar

87 papers hereh-index 8538.6k citations524 works total

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

author position
  • first author6
  • middle author16
  • last author62

Across the 84 of 87 papers where every author was matched, so the position is known.

fields
  • cs.CV27
  • cs.LG20
  • cs.CY10
  • cs.CR9
  • eess.IV5
  • cs.IT4
same name
  • R. Raskar — 1 paper, h 3

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
20092023
most citedDeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images

1.2k citations · 4.3k across the 84 of their papers we have counts for

collaborators
Showing 2015Show all

4 papers · 1 filter

cs.CV2015★ 1 cited

Coreset-Based Adaptive Tracking

Abhimanyu Dubey, Nikhil Naik, Dan Raviv +2

We propose a method for learning from streaming visual data using a compact, constant size representation of all the data that was seen until a given moment. Specifically, we const…

cs.CV2015★ 6 cited

Frequency Domain TOF: Encoding Object Depth in Modulation Frequency

Achuta Kadambi, Vage Taamazyan, Suren Jayasuriya +1

Time of flight cameras may emerge as the 3-D sensor of choice. Today, time of flight sensors use phase-based sampling, where the phase delay between emitted and received, high-freq…

cs.IT2015★ 1 cited

Super-Resolution in Phase Space

Ayush Bhandari, Yonina Eldar, Ramesh Raskar

This work considers the problem of super-resolution. The goal is to resolve a Dirac distribution from knowledge of its discrete, low-pass, Fourier measurements. Classically, such p…

cs.CV2015★ 10 cited

A Light Transport Model for Mitigating Multipath Interference in TOF Sensors

Nikhil Naik, Achuta Kadambi, Christoph Rhemann +3

Continuous-wave Time-of-flight (TOF) range imaging has become a commercially viable technology with many applications in computer vision and graphics. However, the depth images obt…

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