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Computer Science

D-Index
94
Citations
33390
World Ranking
485
National Ranking
261

Overview

Stefano Soatto is affiliated with the University of California, Los Angeles in the United States. Their research primarily focuses on computer science, with a substantial body of work in subfields such as computer vision and pattern recognition, artificial intelligence, aerospace engineering, biophysics, and media technology.

Their recent publications include the following papers:

  • MeMOT: Multi-Object Tracking with Memory, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • ARCH++: Animation-Ready Clothed Human Reconstruction Revisited, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Spatial mapping of mitochondrial networks and bioenergetics in lung cancer, 2023, Nature
  • Unsupervised Depth Completion From Visual Inertial Odometry, 2020, IEEE Robotics and Automation Letters
  • Geo-PIFu: Geometry and Pixel Aligned Implicit Functions for Single-view Human Reconstruction, 2020, arXiv (Cornell University)

Frequent coauthors in Stefano Soatto's research include:

  • Alessandro Achille
  • Alex Wong
  • Avinash Ravichandran
  • Zhuowen Tu
  • Matthew Trager

The scientist's work has appeared frequently in publication venues such as:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • IEEE Robotics and Automation Letters
  • Proceedings of the AAAI Conference on Artificial Intelligence

The main topics covered in Stefano Soatto's research include:

  • Domain Adaptation and Few-Shot Learning
  • Advanced Neural Network Applications
  • Multimodal Machine Learning Applications
  • Advanced Vision and Imaging
  • Adversarial Robustness in Machine Learning
  • Advanced Image and Video Retrieval Techniques
  • Generative Adversarial Networks and Image Synthesis

Best Publications

  • An Invitation to 3-D Vision: From Images to Geometric Models

    Yi Ma;Stefano Soatto;Jana Koseck;S. Shankar Sastry

  • Dynamic Textures

    Gianfranco Doretto;Alessandro Chiuso;Ying Nian Wu;Stefano Soatto

  • Meta-Learning With Differentiable Convex Optimization

    Kwonjoon Lee;Subhransu Maji;Avinash Ravichandran;Stefano Soatto

  • Quick Shift and Kernel Methods for Mode Seeking

    Andrea Vedaldi;Stefano Soatto

  • FDA: Fourier Domain Adaptation for Semantic Segmentation

    Yanchao Yang;Stefano Soatto

  • Class segmentation and object localization with superpixel neighborhoods

    Brian Fulkerson;Andrea Vedaldi;Stefano Soatto

  • An Invitation to 3-D Vision

    Yi Ma;Stefano Soatto;Jana Košecká;S. Shankar Sastry

  • Entropy-SGD: biasing gradient descent into wide valleys*

    Pratik Chaudhari;Pratik Chaudhari;Anna Choromanska;Stefano Soatto;Yann LeCun;Yann LeCun

  • Visual-inertial navigation, mapping and localization: A scalable real-time causal approach

    Eagle S. Jones;Stefano Soatto

  • Kernel Density Estimation and Intrinsic Alignment for Shape Priors in Level Set Segmentation

    Daniel Cremers;Stanley J. Osher;Stefano Soatto

  • Structure from motion causally integrated over time

    A. Chiuso;P. Favaro;Hailin Jin;S. Soatto

  • Dynamic texture recognition

    P. Saisan;G. Doretto;Ying Nian Wu;S. Soatto

  • Information Dropout: Learning Optimal Representations Through Noisy Computation

    Alessandro Achille;Stefano Soatto

  • Emergence of Invariance and Disentanglement in Deep Representations

    Alessandro Achille;Stefano Soatto

  • An algebraic geometric approach to the identification of a class of linear hybrid systems

    R. Vidal;S. Soatto;Yi Ma;S. Sastry

  • Motion estimation via dynamic vision

    S. Soatto;R. Frezza;P. Perona

  • A geometric approach to shape from defocus

    P. Favaro;S. Soatto

  • Dynamic textures

    S. Soatto;G. Doretto;Ying Nian Wu

  • Motion Competition: A Variational Approach to Piecewise Parametric Motion Segmentation

    Daniel Cremers;Stefano Soatto

  • A Baseline for Few-Shot Image Classification

    Guneet Singh Dhillon;Pratik Chaudhari;Avinash Ravichandran;Stefano Soatto

  • Proceedings : 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition : CVPR 2005

    Cordelia Schmid

Frequent Co-Authors

Anthony Yezzi
Anthony Yezzi Georgia Institute of Technology
Pietro Perona
Pietro Perona California Institute of Technology
Alessandro Chiuso
Alessandro Chiuso University of Padua
Paolo Favaro
Paolo Favaro University of Bern
Hailin Jin
Hailin Jin Adobe Systems (United States)
Yi Ma
Yi Ma University of Hong Kong
Shankar Sastry
Shankar Sastry University of California, Berkeley
Andrea Vedaldi
Andrea Vedaldi University of Oxford
Jana Kosecka
Jana Kosecka George Mason University
Deborah Estrin
Deborah Estrin Cornell University

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