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Stefano Soatto

University of California, Los Angeles

113 papers hereh-index 8631.4k citations485 works total

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

author position
  • sole author1
  • first author3
  • middle author17
  • last author90

Across the 111 of 113 papers where every author was matched, so the position is known.

fields
  • cs.CV64
  • cs.LG39
  • cs.RO6
  • stat.ML2
  • cs.CL1
  • eess.IV1
affiliations
  • University of California, Los Angeles
Homepage
same name
  • Stefano Soatto — 13 papers, h 5
  • Stefano Soatto — 8 papers, h 7
  • Stefano Soatto — 3 papers, h 5
  • Stefano Soatto — 2 papers

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
20112023
most citedGeo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstruction

116 citations · 1.1k across the 96 of their papers we have counts for

collaborators
Showing 2014 · cs.CVShow all

4 papers · 2 filters

cs.CV2014★ 6 cited

Domain-Size Pooling in Local Descriptors: DSP-SIFT

Jingming Dong, Stefano Soatto

We introduce a simple modification of local image descriptors, such as SIFT, based on pooling gradient orientations across different domain sizes, in addition to spatial locations.…

cs.CV2014★ 3 cited

Visual Scene Representations: Contrast, Scaling and Occlusion

Stefano Soatto, Jingming Dong, Nikolaos Karianakis

We study the structure of representations, defined as approximations of minimal sufficient statistics that are maximal invariants to nuisance factors, for visual data subject to sc…

cs.CV2014★ 27 cited

Visual Representations: Defining Properties and Deep Approximations

Stefano Soatto, Alessandro Chiuso

Visual representations are defined in terms of minimal sufficient statistics of visual data, for a class of tasks, that are also invariant to nuisance variability. Minimal sufficie…

cs.CV2014

Cavlectometry: Towards Holistic Reconstruction of Large Mirror Objects

Jonathan Balzer, Daniel Acevedo-Feliz, Stefano Soatto +3

We introduce a method based on the deflectometry principle for the reconstruction of specular objects exhibiting significant size and geometric complexity. A key feature of our app…

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