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Computer Science
France
2025

D-Index & Metrics

Computer Science

D-Index
75
Citations
45726
World Ranking
1369
National Ranking
13

Research.com Recognitions

  • 2025 - Research.com Computer Science in France Leader Award
  • 2023 - Research.com Computer Science in France Leader Award
  • 2022 - Research.com Computer Science in France Leader Award

Overview

Ivan Laptev is affiliated with the French Institute for Research in Computer Science and Automation (INRIA) in France. Their research primarily focuses on the field of Computer Science, with a notable concentration in computer vision and related areas.

The subfields in which Ivan Laptev has contributed include:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Control and Systems Engineering
  • Human-Computer Interaction
  • Aerospace Engineering

The scientist's work addresses several main topics relevant to modern vision and learning tasks, including:

  • Multimodal Machine Learning Applications
  • Human Pose and Action Recognition
  • Domain Adaptation and Few-Shot Learning
  • Video Analysis and Summarization
  • Advanced Image and Video Retrieval Techniques
  • Robot Manipulation and Learning
  • Natural Language Processing Techniques

Ivan Laptev's publication record includes numerous papers published in well-known venues. Frequent publication venues are:

  • 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
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Among recent papers, several examples illustrate the range and focus of their work:

  • "XCiT: Cross-Covariance Image Transformers" (2021), arXiv (Cornell University)
  • "Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding" (2024), arXiv (Cornell University)
  • "Think Global, Act Local: Dual-scale Graph Transformer for Vision-and-Language Navigation" (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Thinking Fast and Slow: Efficient Text-to-Visual Retrieval with Transformers" (2021), arXiv (Cornell University)
  • "Training Vision Transformers for Image Retrieval" (2021), arXiv (Cornell University)

The scientist regularly collaborates with several co-authors across their publications. Frequent co-authors include:

  • Cordelia Schmid
  • Josef Šivic
  • Antoine Miech
  • Shizhe Chen
  • Justin Carpentier

Best Publications

  • On Space-Time Interest Points

    Ivan Laptev

  • Learning realistic human actions from movies

    I. Laptev;M. Marszalek;C. Schmid;B. Rozenfeld

  • Recognizing human actions: a local SVM approach

    C. Schuldt;I. Laptev;B. Caputo

  • Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks

    Maxime Oquab;Maxime Oquab;Leon Bottou;Ivan Laptev;Josef Sivic

  • Evaluation of local spatio-temporal features for action recognition

    Heng Wang;Muhammad Muneeb Ullah;Alexander Klaser;Ivan Laptev

  • Actions in context

    Marcin Marszalek;Ivan Laptev;Cordelia Schmid

  • Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding

    Gunnar A. Sigurdsson;Gül Varol;Xiaolong Wang;Ali Farhadi;Ali Farhadi

  • Long-Term Temporal Convolutions for Action Recognition

    Gul Varol;Ivan Laptev;Cordelia Schmid

  • Is object localization for free? - Weakly-supervised learning with convolutional neural networks

    Maxime Oquab;Leon Bottou;Ivan Laptev;Josef Sivic

  • Learning from Synthetic Humans

    Gul Varol;Javier Romero;Xavier Martin;Naureen Mahmood

  • HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips

    Antoine Miech;Dimitri Zhukov;Jean-Baptiste Alayrac;Makarand Tapaswi

  • P-CNN: Pose-Based CNN Features for Action Recognition

    Guilhem Cheron;Ivan Laptev;Cordelia Schmid

  • End-to-End Learning of Visual Representations From Uncurated Instructional Videos

    Antoine Miech;Jean-Baptiste Alayrac;Lucas Smaira;Ivan Laptev

  • The THUMOS challenge on action recognition for videos “in the wild”

    Haroon Idrees;Amir Roshan Zamir;Yu-Gang Jiang;Alex Gorban

  • Retrieving actions in movies

    I. Laptev;P. Perez

  • Hand gesture recognition using multi-scale colour features, hierarchical models and particle filtering

    L. Bretzner;I. Laptev;T. Lindeberg

  • View-Independent Action Recognition from Temporal Self-Similarities

    I N Junejo;E Dexter;I Laptev;Patrick Pérez

  • Learning Joint Reconstruction of Hands and Manipulated Objects

    Yana Hasson;Gul Varol;Dimitrios Tzionas;Igor Kalevatykh

  • BodyNet: Volumetric Inference of 3D Human Body Shapes

    Gül Varol;Duygu Ceylan;Bryan C. Russell;Jimei Yang

  • Density-aware person detection and tracking in crowds

    Mikel Rodriguez;Ivan Laptev;Josef Sivic;Jean-Yves Audibert

Frequent Co-Authors

Josef Sivic
Josef Sivic Czech Technical University in Prague
Cordelia Schmid
Cordelia Schmid French Institute for Research in Computer Science and Automation - INRIA
Jean Ponce
Jean Ponce École Normale Supérieure
Simon Lacoste-Julien
Simon Lacoste-Julien University of Montreal
Tony Lindeberg
Tony Lindeberg Royal Institute of Technology
Piotr Bojanowski
Piotr Bojanowski Facebook (United States)
Minsu Cho
Minsu Cho Pohang University of Science and Technology
Abhinav Gupta
Abhinav Gupta Carnegie Mellon University
Andrew Zisserman
Andrew Zisserman University of Oxford

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