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Computer Science

D-Index
31
Citations
21436
World Ranking
13317
National Ranking
5324

Overview

Alexander Toshev is affiliated with Apple in the United States. Their research primarily spans the field of Computer Science, with a particular focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Control and Systems Engineering, Social Psychology, and Ocean Engineering.

The scientist has contributed extensively to research topics including Multimodal Machine Learning Applications, Reinforcement Learning in Robotics, Domain Adaptation and Few-Shot Learning, Social Robot Interaction and Human-Robot Interaction (HRI), Natural Language Processing Techniques, Robot Manipulation and Learning, and Human Pose and Action Recognition.

Alexander Toshev's recent publications showcase a range of interests related to embodied agents, robotic interaction, and 3D scene generation. These papers include:

  • Do As I Can, Not As I Say: Grounding Language in Robotic Affordances (2022, arXiv (Cornell University))
  • ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objects (2020, arXiv (Cornell University))
  • Socially CompliAnt Navigation Dataset (SCAND): A Large-Scale Dataset of Demonstrations for Social Navigation (2022, IEEE Robotics and Automation Letters)
  • GAUDI: A Neural Architect for Immersive 3D Scene Generation (2022, arXiv (Cornell University))
  • ReLMoGen: Leveraging Motion Generation in Reinforcement Learning for Mobile Manipulation (2020, arXiv (Cornell University))

The frequent publication venues for Toshev are:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • ACM Transactions on Human-Robot Interaction
  • Lecture notes in computer science

Alexander Toshev's collaborative work includes partnerships with the following frequent co-authors:

  • Sören Pirk
  • Vaishaal Shankar
  • Bogdan Mazoure
  • Anthony Francis
  • Zhe Gan

Best Publications

  • Show and tell: A neural image caption generator

    Oriol Vinyals;Alexander Toshev;Samy Bengio;Dumitru Erhan

  • DeepPose: Human Pose Estimation via Deep Neural Networks

    Alexander Toshev;Christian Szegedy

  • Deep Neural Networks for Object Detection

    Christian Szegedy;Alexander Toshev;Dumitru Erhan

  • Scalable Object Detection Using Deep Neural Networks

    Dumitru Erhan;Christian Szegedy;Alexander Toshev;Dragomir Anguelov

  • Generation and Comprehension of Unambiguous Object Descriptions

    Junhua Mao;Jonathan Huang;Alexander Toshev;Oana Camburu

  • Show and Tell: Lessons Learned from the 2015 MSCOCO Image Captioning Challenge

    Oriol Vinyals;Alexander Toshev;Samy Bengio;Dumitru Erhan

  • Towards Accurate Multi-person Pose Estimation in the Wild

    George Papandreou;Tyler Zhu;Nori Kanazawa;Alexander Toshev

  • No Fuss Distance Metric Learning Using Proxies

    Yair Movshovitz-Attias;Alexander Toshev;Thomas K. Leung;Sergey Ioffe

  • Deep Convolutional Ranking for Multilabel Image Annotation

    Yunchao Gong;Yangqing Jia;Thomas Leung;Alexander Toshev

  • The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition

    Jonathan Krause;Benjamin Sapp;Andrew Howard;Howard Zhou

  • Cascaded models for articulated pose estimation

    Benjamin Sapp;Alexander Toshev;Ben Taskar

  • Chained Predictions Using Convolutional Neural Networks

    Georgia Gkioxari;Alexander Toshev;Navdeep Jaitly

  • Visual Representations for Semantic Target Driven Navigation

    Arsalan Mousavian;Alexander Toshev;Marek Fiser;Jana Kosecka

  • Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks

    Kuan Fang;Alexander Toshev;Li Fei-Fei;Silvio Savarese

  • Interactive Gibson Benchmark: A Benchmark for Interactive Navigation in Cluttered Environments

    Fei Xia;William B. Shen;Chengshu Li;Priya Kasimbeg

  • ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objects.

    Dhruv Batra;Aaron Gokaslan;Aniruddha Kembhavi;Oleksandr Maksymets

  • Sim2Real Viewpoint Invariant Visual Servoing by Recurrent Control

    Fereshteh Sadeghi;Alexander Toshev;Eric Jang;Sergey Levine

  • Image Matching via Saliency Region Correspondences

    A. Toshev;Jianbo Shi;K. Daniilidis

  • Shape-Based Object Detection via Boundary Structure Segmentation

    Alexander Toshev;Ben Taskar;Kostas Daniilidis

  • Object detection via boundary structure segmentation

    Alexander Toshev;Ben Taskar;Kostas Daniilidis

Frequent Co-Authors

Dumitru Erhan
Dumitru Erhan Google (United States)
Silvio Savarese
Silvio Savarese Stanford University
Anelia Angelova
Anelia Angelova Google (United States)
Michael S. Ryoo
Michael S. Ryoo Stony Brook University
Christian Szegedy
Christian Szegedy Google (United States)
Li Fei-Fei
Li Fei-Fei Stanford University
Kostas Daniilidis
Kostas Daniilidis University of Pennsylvania
Ben Taskar
Ben Taskar University of Washington
Jana Kosecka
Jana Kosecka George Mason University
Samy Bengio
Samy Bengio Apple (United States)

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