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Computer Science

D-Index
108
Citations
60712
World Ranking
257
National Ranking
142

Overview

Silvio Savarese is affiliated with Stanford University in the United States, working primarily in the field of Computer Science. Their research spans several specialized subfields, including Artificial Intelligence, Computer Vision and Pattern Recognition, Control and Systems Engineering, Information Systems, and Aerospace Engineering.

The topics that dominate their research include multimodal machine learning applications, natural language processing techniques, robot manipulation and learning, topic modeling, human pose and action recognition, reinforcement learning in robotics, and domain adaptation and few-shot learning.

The scientist has co-authored with several frequent collaborators, including Caiming Xiong, Juan Carlos Niebles, Shelby Heinecke, Roberto Martín-Martín, and Li Fei-Fei.

Silvio Savarese has contributed to numerous publications across various venues with a strong presence in the following outlets:

  • arXiv (Cornell University)
  • 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • The International Journal of Robotics Research

Notable recent papers include:

  • ShapeNet: An Information-Rich 3D Model Repository, 2023, Zenodo (CERN European Organization for Nuclear Research)
  • BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models, 2023, arXiv (Cornell University)
  • Automatic Targetless Extrinsic Calibration of a 3D Lidar and Camera by Maximizing Mutual Information, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis, 2022, arXiv (Cornell University)
  • iGibson 1.0: A Simulation Environment for Interactive Tasks in Large Realistic Scenes, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Best Publications

  • Generalized Intersection Over Union: A Metric and a Loss for Bounding Box Regression

    Hamid Rezatofighi;Nathan Tsoi;JunYoung Gwak;Amir Sadeghian

  • Social LSTM: Human Trajectory Prediction in Crowded Spaces

    Alexandre Alahi;Kratarth Goel;Vignesh Ramanathan;Alexandre Robicquet

  • ShapeNet: An Information-Rich 3D Model Repository

    Angel X. Chang;Thomas A. Funkhouser;Leonidas J. Guibas;Pat Hanrahan

  • Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks

    Agrim Gupta;Justin Johnson;Li Fei-Fei;Silvio Savarese

  • BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

    Unknown

  • 3D Semantic Parsing of Large-Scale Indoor Spaces

    Iro Armeni;Ozan Sener;Amir R. Zamir;Helen Jiang

  • 3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction

    Christopher Bongsoo Choy;Danfei Xu;JunYoung Gwak;Kevin Chen

  • Deep Metric Learning via Lifted Structured Feature Embedding

    Hyun Oh Song;Yu Xiang;Stefanie Jegelka;Silvio Savarese

  • 4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks

    Christopher Choy;JunYoung Gwak;Silvio Savarese

  • Learning to Track at 100 FPS with Deep Regression Networks

    David Held;Sebastian Thrun;Silvio Savarese

  • Structural-RNN: Deep Learning on Spatio-Temporal Graphs

    Ashesh Jain;Amir R. Zamir;Silvio Savarese;Ashutosh Saxena

  • DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion

    Chen Wang;Danfei Xu;Yuke Zhu;Roberto Martin-Martin

  • Active Learning for Convolutional Neural Networks: A Core-Set Approach

    Ozan Sener;Silvio Savarese

  • SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints

    Amir Sadeghian;Vineet Kosaraju;Ali Sadeghian;Noriaki Hirose

  • Learning Social Etiquette: Human Trajectory Understanding In Crowded Scenes

    Alexandre Robicquet;Amir Sadeghian;Alexandre Alahi;Silvio Savarese

  • Taskonomy: Disentangling Task Transfer Learning

    Amir R. Zamir;Alexander Sax;William Shen;Leonidas Guibas

  • Beyond PASCAL: A benchmark for 3D object detection in the wild

    Yu Xiang;Roozbeh Mottaghi;Silvio Savarese

  • Joint 2D-3D-Semantic Data for Indoor Scene Understanding

    Iro Armeni;Sasha Sax;Amir Roshan Zamir;Silvio Savarese

  • Learning to Track: Online Multi-object Tracking by Decision Making

    Yu Xiang;Alexandre Alahi;Silvio Savarese

  • SEGCloud: Semantic Segmentation of 3D Point Clouds

    Lyne Tchapmi;Christopher Choy;Iro Armeni;JunYoung Gwak

  • Gibson Env: Real-World Perception for Embodied Agents

    Fei Xia;Amir R. Zamir;Zhiyang He;Alexander Sax

  • Taskonomy: Disentangling Task Transfer Learning.

    Amir Roshan Zamir;Amir Roshan Zamir;Alexander Sax;William B. Shen;Leonidas J. Guibas

Frequent Co-Authors

Amir Roshan Zamir
Amir Roshan Zamir Stanford University
Min Sun
Min Sun National Tsing Hua University
Alexandre Alahi
Alexandre Alahi École Polytechnique Fédérale de Lausanne
Li Fei-Fei
Li Fei-Fei Stanford University
Feniosky Peña-Mora
Feniosky Peña-Mora Columbia University
Ashutosh Saxena
Ashutosh Saxena Cornell University
Pietro Perona
Pietro Perona California Institute of Technology
Jitendra Malik
Jitendra Malik University of California, Berkeley
Mani Golparvar-Fard
Mani Golparvar-Fard University of Illinois at Urbana-Champaign
Leonidas J. Guibas
Leonidas J. Guibas Stanford University

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