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Kalyan Sunkavalli

Adobe Research

36 papers hereh-index 437.9k citations86 works total

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

author position
  • middle author31
  • last author1

Across the 32 of 36 papers where every author was matched, so the position is known.

fields
  • cs.CV33
  • cs.GR2
  • cs.LG1
affiliations
  • Adobe Research
Homepage
same name
  • Kalyan Sunkavalli — 30 papers, h 20
  • Kalyan Sunkavalli — 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
20152022
most citedNeural Reflectance Fields for Appearance Acquisition

110 citations · 435 across the 31 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.CV2018

Learning to Separate Multiple Illuminants in a Single Image

Zhuo Hui, Ayan Chakrabarti, Kalyan Sunkavalli +1

We present a method to separate a single image captured under two illuminants, with different spectra, into the two images corresponding to the appearance of the scene under each i…

cs.LG2018

MT-VAE: Learning Motion Transformations to Generate Multimodal Human Dynamics

Xinchen Yan, Akash Rastogi, Ruben Villegas +5

Long-term human motion can be represented as a series of motion modes---motion sequences that capture short-term temporal dynamics---with transitions between them. We leverage this…

cs.CV2018★ 26 cited

Self-supervised Multi-view Person Association and Its Applications

Minh Vo, Ersin Yumer, Kalyan Sunkavalli +3

Reliable markerless motion tracking of people participating in a complex group activity from multiple moving cameras is challenging due to frequent occlusions, strong viewpoint and…

cs.CV2018★ 15 cited

Materials for Masses: SVBRDF Acquisition with a Single Mobile Phone Image

Zhengqin Li, Kalyan Sunkavalli, Manmohan Chandraker

We propose a material acquisition approach to recover the spatially-varying BRDF and normal map of a near-planar surface from a single image captured by a handheld mobile phone cam…

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