World's Best Scientists 2026 revealed!
Award Badge
Computer Science
Saudi Arabia
2025

D-Index & Metrics

Computer Science

D-Index
69
Citations
28840
World Ranking
1933
National Ranking
12

Research.com Recognitions

  • 2025 - Research.com Computer Science in Saudi Arabia Leader Award
  • 2022 - Research.com Computer Science in Saudi Arabia Leader Award

Overview

Bernard Ghanem is affiliated with King Abdullah University of Science and Technology in Saudi Arabia. Their research primarily spans the field of computer science, with a focus on several subfields and topics related to advanced computational techniques.

The scientist's main areas of study include:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Computational Mechanics
  • Signal Processing
  • Computer Graphics and Computer-Aided Design

Key topics covered in Bernard Ghanem's work are:

  • Human Pose and Action Recognition
  • Multimodal Machine Learning Applications
  • Domain Adaptation and Few-Shot Learning
  • Anomaly Detection Techniques and Applications
  • Video Analysis and Summarization
  • Advanced Neural Network Applications
  • Advanced Vision and Imaging

Their recent and notable papers demonstrate contributions across various high-impact venues. These include:

  • "Ego4D: Around the World in 3,000 Hours of Egocentric Video" (2022), published at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies" (2022), published on arXiv (Cornell University)
  • "DeeperGCN: All You Need to Train Deeper GCNs" (2020), published on arXiv (Cornell University)
  • "DeepGCNs: Making GCNs Go as Deep as CNNs" (2021), published in IEEE Transactions on Pattern Analysis and Machine Intelligence
  • "Spatio-temporal Relation Modeling for Few-shot Action Recognition" (2022), published at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

The frequent publication venues where Bernard Ghanem's work appears include:

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

Bernard Ghanem collaborates regularly with a group of coauthors, including:

  • Silvio Giancola
  • Motasem Alfarra
  • Adel Bibi
  • Anthony Cioppa
  • Ali Thabet

Through their various contributions, Bernard Ghanem's research advances knowledge in processing and analyzing visual and multimodal data, with applications spanning human action recognition, neural network design, and domain adaptation techniques.

Best Publications

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

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

  • The Visual Object Tracking VOT2016 Challenge Results

    Matej Kristan;Aleš Leonardis;Jiři Matas;Michael Felsberg

  • A Benchmark and Simulator for UAV Tracking

    Matthias Mueller;Neil Smith;Bernard Ghanem

  • DeepGCNs: Can GCNs Go As Deep As CNNs?

    Guohao Li;Matthias Muller;Ali Thabet;Bernard Ghanem

  • Robust Visual Tracking via Structured Multi-Task Sparse Learning

    Tianzhu Zhang;Bernard Ghanem;Si Liu;Narendra Ahuja

  • ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing

    Jian Zhang;Bernard Ghanem

  • TrackingNet: A Large-Scale Dataset and Benchmark for Object Tracking in the Wild

    Matthias Müller;Adel Bibi;Silvio Giancola;Salman Alsubaihi

  • Robust visual tracking via multi-task sparse learning

    Tianzhu Zhang;Bernard Ghanem;Si Liu;Narendra Ahuja

  • Context-Aware Correlation Filter Tracking

    Matthias Mueller;Neil Smith;Bernard Ghanem

  • PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies

    Unknown

  • G-TAD: Sub-Graph Localization for Temporal Action Detection

    Mengmeng Xu;Chen Zhao;David S. Rojas;Ali Thabet

  • Ego4D: Around the World in 3,000 Hours of Egocentric Video

    Kristen Grauman;Andrew Westbury;Eugene Byrne;Zachary Chavis

  • SOD-MTGAN: Small Object Detection via Multi-Task Generative Adversarial Network

    Yancheng Bai;Yongqiang Zhang;Yongqiang Zhang;Mingli Ding;Bernard Ghanem

  • 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

  • Robust Visual Tracking Via Consistent Low-Rank Sparse Learning

    Tianzhu Zhang;Si Liu;Narendra Ahuja;Ming-Hsuan Yang

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

    Fabian Caba Heilbron;Juan Carlos Niebles;Bernard Ghanem

  • DeeperGCN: All You Need to Train Deeper GCNs

    Guohao Li;Chenxin Xiong;Ali Kassem Thabet;Bernard Ghanem

  • Self-Supervised Learning by Cross-Modal Audio-Video Clustering

    Humam Alwassel;Dhruv Mahajan;Bruno Korbar;Lorenzo Torresani

  • Low-rank sparse learning for robust visual tracking

    Tianzhu Zhang;Bernard Ghanem;Si Liu;Narendra Ahuja

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

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

Frequent Co-Authors

Narendra Ahuja
Narendra Ahuja University of Illinois at Urbana-Champaign
Tianzhu Zhang
Tianzhu Zhang University of Science and Technology of China
Baoyuan Wu
Baoyuan Wu Chinese University of Hong Kong, Shenzhen
Peter Wonka
Peter Wonka King Abdullah University of Science and Technology
Juan Carlos Niebles
Juan Carlos Niebles Stanford University
Pablo Arbeláez
Pablo Arbeláez Universidad de Los Andes
Siwei Lyu
Siwei Lyu University at Buffalo, State University of New York
Si Liu
Si Liu Beihang University
Changsheng Xu
Changsheng Xu Chinese Academy of Sciences
Fatih Porikli
Fatih Porikli Australian National University

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

For students considering a future in Computer Science, it's important to explore additional online degree options and career pathways to maximize your opportunities. Selecting from the top degrees in demand for the future can help you align your education with fast-growing industries, giving you a competitive edge in the job market.

If you're looking to advance your credentials quickly, there are also easy masters degrees that can be completed online, offering flexible schedules and streamlined paths to graduation. For those aiming for the highest academic achievement without breaking the bank, you can consider pursuing a cheap online phd to minimize costs while maximizing expertise.

Educators and career changers may want to explore edd programs that offer fast-track options for earning advanced educational leadership credentials. These related programs provide alternative routes to boost your skill set, open up new career doors, and enhance your prospects in the evolving field of technology.

Best Scientists Citing Bernard Ghanem

Trending Scientists

Recently Published Articles