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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 2013Show all

4 papers · 1 filter

cs.CV2013★ 1 cited

On the Design and Analysis of Multiple View Descriptors

Jingming Dong, Jonathan Balzer, Damek Davis +2

We propose an extension of popular descriptors based on gradient orientation histograms (HOG, computed in a single image) to multiple views. It hinges on interpreting HOG as a cond…

cs.CV2013

Volumetric Reconstruction Applied to Perceptual Studies of Size and Weight

J. Balzer, M. Peters, S. Soatto

We explore the application of volumetric reconstruction from structured-light sensors in cognitive neuroscience, specifically in the quantification of the size-weight illusion, whe…

cs.RO2013★ 1 cited

Observability, Identifiability and Sensitivity of Vision-Aided Navigation

Joshua Hernandez, Konstantine Tsotsos, Stefano Soatto

We analyze the observability of motion estimates from the fusion of visual and inertial sensors. Because the model contains unknown parameters, such as sensor biases, the problem i…

cs.CV2013

Second-order Shape Optimization for Geometric Inverse Problems in Vision

J. Balzer, S. Soatto

We develop a method for optimization in shape spaces, i.e., sets of surfaces modulo re-parametrization. Unlike previously proposed gradient flows, we achieve superlinear convergenc…

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