World's Best Scientists 2026 revealed!
Juan Carlos Niebles

Juan Carlos Niebles

D-Index & Metrics

Computer Science

D-Index
60
Citations
19820
World Ranking
3189
National Ranking
1546

Overview

Juan Carlos Niebles is affiliated with Stanford University in the United States. Their research primarily spans the field of Computer Science, with a focus on Computer Vision and Pattern Recognition, Artificial Intelligence, Psychiatry and Mental Health, Physical Therapy, Sports Therapy and Rehabilitation, and Biomedical Engineering.

Their work addresses several main topics, including Multimodal Machine Learning Applications, Human Pose and Action Recognition, Domain Adaptation and Few-Shot Learning, Advanced Neural Network Applications, Video Surveillance and Tracking Methods, Anomaly Detection Techniques and Applications, and Natural Language Processing Techniques.

Juan Carlos Niebles has frequently published in the following venues:

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

Some of their recent papers include:

  • "On the Opportunities and Risks of Foundation Models" (2021), published in arXiv (Cornell University)
  • "Artificial Intelligence Index Report 2023" (2023), published in arXiv (Cornell University)
  • "Spatiotemporal Relationship Reasoning for Pedestrian Intent Prediction" (2020), published in IEEE Robotics and Automation Letters
  • "Artificial Intelligence Index Report 2024" (2024), published in arXiv (Cornell University)
  • "Revisiting the 'Video' in Video-Language Understanding" (2022), published in 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Their frequent co-authors are:

  • Caiming Xiong
  • Silvio Savarese
  • Ehsan Adeli
  • Shelby Heinecke
  • Ran Xu

Best Publications

  • ActivityNet: A large-scale video benchmark for human activity understanding

    Fabian Caba Heilbron;Victor Escorcia;Bernard Ghanem;Juan Carlos Niebles

  • Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words

    Juan Carlos Niebles;Hongcheng Wang;Li Fei-Fei

  • On the Opportunities and Risks of Foundation Models.

    Rishi Bommasani;Drew A. Hudson;Ehsan Adeli;Russ Altman

  • Dense-Captioning Events in Videos

    Ranjay Krishna;Kenji Hata;Frederic Ren;Li Fei-Fei

  • Modeling temporal structure of decomposable motion segments for activity classification

    Juan Carlos Niebles;Chih-Wei Chen;Li Fei-Fei

  • A Hierarchical Model of Shape and Appearance for Human Action Classification

    J.C. Niebles;Li Fei-Fei

  • SST: Single-Stream Temporal Action Proposals

    Shyamal Buch;Victor Escorcia;Chuanqi Shen;Bernard Ghanem

  • DAPs: Deep Action Proposals for Action Understanding

    Victor Escorcia;Fabian Caba Heilbron;Juan Carlos Niebles;Juan Carlos Niebles;Bernard Ghanem

  • Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words.

    Juan Carlos Niebles;Hongcheng Wang;Li Fei-Fei

  • Peeking Into the Future: Predicting Future Person Activities and Locations in Videos

    Junwei Liang;Lu Jiang;Juan Carlos Niebles;Alexander G. Hauptmann

  • Vision-based action recognition of earthmoving equipment using spatio-temporal features and support vector machine classifiers

    Mani Golparvar-Fard;Arsalan Heydarian;Juan Carlos Niebles

  • Fast Temporal Activity Proposals for Efficient Detection of Human Actions in Untrimmed Videos

    Fabian Caba Heilbron;Juan Carlos Niebles;Bernard Ghanem

  • Automated 2D detection of construction equipment and workers from site video streams using histograms of oriented gradients and colors

    Milad Memarzadeh;Mani Golparvar-Fard;Juan Carlos Niebles

  • Action Genome: Actions As Compositions of Spatio-Temporal Scene Graphs

    Jingwei Ji;Ranjay Krishna;Li Fei-Fei;Juan Carlos Niebles

  • Spatio-Temporal Graph for Video Captioning With Knowledge Distillation

    Boxiao Pan;Haoye Cai;De-An Huang;Kuan-Hui Lee

  • Spatial-Temporal correlatons for unsupervised action classification

    S. Savarese;A. DelPozo;J.C. Niebles;Li Fei-Fei

  • Few-Shot Video Classification via Temporal Alignment

    Kaidi Cao;Jingwei Ji;Zhangjie Cao;Chien-Yi Chang

  • Connectionist Temporal Modeling for Weakly Supervised Action Labeling

    De-An Huang;Li Fei-Fei;Juan Carlos Niebles

  • Learning to Decompose and Disentangle Representations for Video Prediction

    Jun-Ting Hsieh;Bingbin Liu;De-An Huang;Li F. Fei-Fei

  • End-to-End, Single-Stream Temporal Action Detection in Untrimmed Videos.

    Shyamal Buch;Victor Escorcia;Bernard Ghanem;Li Fei-Fei

  • Action Genome: Actions as Composition of Spatio-temporal Scene Graphs.

    Jingwei Ji;Ranjay Krishna;Li Fei-Fei;Juan Carlos Niebles

  • Unsupervised Learning of Human Action Categories

    Juan Carlos Niebles;Hongcheng Wang;Li Fei-Fei

Frequent Co-Authors

Li Fei-Fei
Li Fei-Fei Stanford University
Min Sun
Min Sun National Tsing Hua University
Mani Golparvar-Fard
Mani Golparvar-Fard University of Illinois at Urbana-Champaign
Bernard Ghanem
Bernard Ghanem King Abdullah University of Science and Technology
Ehsan Adeli
Ehsan Adeli Stanford University
Bohyung Han
Bohyung Han Seoul National University
Adrien Gaidon
Adrien Gaidon Stanford University
Silvio Savarese
Silvio Savarese Stanford University
Lorenzo Torresani
Lorenzo Torresani Facebook (United States)
Daphne Koller
Daphne Koller insitro Inc.

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Computer Science opens doors to a wide range of online degree options and career pathways. Many students choose online degrees accredited by reputable organizations for flexibility and recognized credentials.

If you’re interested in creating digital worlds or working in the gaming industry, consider a game design online masters degree. This specialized field combines creativity with technical skills, preparing graduates for roles in video game development, animation, and interactive media.

Cybersecurity is another high-demand area. A cybersecurity degree online prepares you to protect digital assets, identify security threats, and respond to cyberattacks—a crucial responsibility in today’s tech-driven world.

Beyond tech-focused paths, online programs like the best online construction management degree link computer science skills to real-world industries. This degree blends technical know-how with project management, perfect for those interested in technology’s role in construction.

Best Scientists Citing Juan Carlos Niebles

Trending Scientists

Recently Published Articles