Assoc Prof Dr. Qi Jia | Object Detection and Recognition | Best Researcher Award

Publications

Temporal refinement and multi-grained matching for moment retrieval and highlight detection

  • Authors: Zhu, C., Zhang, Y., Jia, Q., Wang, W., Liu, Y.
  • Journal: Multimedia Systems
  • Year: 2025

Bilevel progressive homography estimation via correlative region-focused transformer

  • Authors: Jia, Q., Feng, X., Zhang, W., Pu, N., Sebe, N.
  • Journal: Computer Vision and Image Understanding
  • Year: 2025

PMGNet: Disentanglement and entanglement benefit mutually for compositional zero-shot learning

  • Authors: Liu, Y., Li, J., Zhang, Y., Pu, N., Sebe, N.
  • Journal: Computer Vision and Image Understanding
  • Year: 2024

WBNet: Weakly-supervised salient object detection via scribble and pseudo-background priors

  • Authors: Wang, Y., Wang, R., He, X., Jia, Q., Fan, X.
  • Journal: Pattern Recognition
  • Year: 2024

A rotation robust shape transformer for cartoon character recognition

  • Authors: Jia, Q., Chen, X., Wang, Y., Ling, H., Latecki, L.J.
  • Journal: Visual Computer
  • Year: 2024

Prof. Larbi Guezouli | Object Detection and Recognition | Best Researcher Award

Prof. Larbi Guezouli | Object Detection and Recognition | Best Researcher Award

Professor at Higher National School of Renewable Energies, Environment, Algeria

👨‍🎓 Profiles

Scopus

Orcid

Publications

SES-ReNet: Lightweight deep learning model for human detection in hazy weather conditions

  • Author: Bouafia, Y., Allili, M.S., Hebbache, L., Guezouli, L.
  • Journal: Signal Processing: Image Communication
  • Year: 2025

Human Detection in Clear and Hazy Weather Based on Transfer Learning With Improved INRIA Dataset Annotation

  • Author: Bouafia, Y., Guezouli, L., Lakhlef, H.
  • Journal: International Journal of Computing and Digital Systems
  • Year: 2024

Two-step text detection framework in natural scenes based on Pseudo-Zernike moments and CNN

  • Author: Larbi, G.
  • Journal: Multimedia Tools and Applications
  • Year: 2023

Human Detection in Surveillance Videos Based on Fine-Tuned MobileNetV2 for Effective Human Classification

  • Author: Bouafia, Y., Guezouli, L., Lakhlef, H.
  • Journal: Iranian Journal of Science and Technology – Transactions of Electrical Engineering
  • Year: 2022

Reading signboards for the visually impaired using Pseudo-Zernike Moments

  • Author: Guezouli, L.
  • Journal: Advances in Engineering Software
  • Year: 2022

Mrs. Yasmine Zambou Tsopgni | Object Detection and Recognition | Best Researcher Award

Publications

Tectonic reevaluation of West Cameroon domain: Insights from high-resolution gravity models and advanced edge detection methods

  • Authors: Yasmine, Z.T.; Ghomsi, F.E.K.; Nouayou, R.; Tenzer, R.; Eldosouky, A.M.
  • Journal: Journal of Geodynamics
  • Year: 2024

Contribution of advanced edge-detection methods of potential field data in the tectono-structural study of the southwestern part of Cameroon

  • Authors: Nzeuga, A.R.; Ghomsi, F.E.; Pham, L.T.; Fnais, M.S.; Andráš, P.
  • Journal: Frontiers in Earth Science
  • Year: 2022

Dr. Salah Hammedi | Object Detection and Recognition | Best Researcher Award

Dr. Salah Hammedi | Object Detection and Recognition | Best Researcher Award

Doctorate at Networked Objects Control and Communication Systems Laboratory, Tunisia

👨‍🎓 Profiles

Google Scholar

Publications

You Only Look Once Version 5 and Deep Simple Online and Real-Time Tracking Algorithms for Real-Time Customer Behavior Tracking and Retail Optimization

  • Authors: Mohamed Shili, Osama Sohaib, Salah Hammedi
  • Year: 2024

Optimizing Production in Reconfigurable Manufacturing Systems with Artificial Intelligence and Petri Nets.

  • Authors: Salah Hammedi, Jalloul Elmelliani, Lotfi Nabli, Abdallah Namoun, Meshari Huwaytim Alanazi, Nasser Aljohani, Mohamed Shili, Sami Alshmrany
  • Year: 2024

Optimization of Scheduling in Reconfigurable Production Systems: An Approach Based on Intelligent Petri Nets

  • Authors: Salah Hammedi, Jalloul Elmeliani, Lotfi Nabli
  • Year: 2024

Victor-Klaba-Object Detection and Recognition-Best Researcher Award 

Mr. Victor-Klaba-Object Detection and Recognition-Best Researcher Award 

University of Franche-Comté-France 

Author Profile

Early Academic Pursuits

Mr. Victor Klaba's academic journey in hydrogeology began with his Bachelor's degree in Earth Sciences from the University of Franche-Comté, Besançon, France. He continued his education with a Master's degree in the same field, specializing in structural geology and hydrodynamics. Currently, he is pursuing a Ph.D. in Hydrogeology at the University of Franche-Comté, focusing on the TRANSKARST project. His academic background has equipped him with a strong foundation in geological sciences and hydrogeological principles, preparing him for a career in understanding and managing water resources.

Professional Endeavors

Throughout his academic journey, Mr. Victor Klaba has gained valuable professional experiences in hydrogeology. As a Ph.D. student involved in the TRANSKARST project at the Chrono-environment Laboratory, he is dedicated to developing a multidisciplinary approach to improve understanding of the Arcier hydrosystem. Additionally, he has contributed to the COREAUNA project as an intern at the Geological Survey of New Caledonia, focusing on the geochemical characterization of the Koné alluvial aquifer. Victor's internships and research engagements have allowed him to apply theoretical knowledge in practical settings, honing his skills in fieldwork, laboratory analysis, and geological modeling.

Contributions and Research Focus

Mr. Victor Klaba's research focuses on the hydrogeological dynamics of karst systems, particularly the Arcier hydrosystem and the Montfaucon anticline. His work involves rigorous geological analysis, hydrochemical characterization, and hydrodynamic modeling to understand groundwater circulation and resource management. By studying these complex hydrogeological objects, Victor aims to contribute to the development of effective water resource protection policies and sustainable management strategies. His expertise in geomodelling software such as MODFLOW and KARSTMOD enables him to conduct sophisticated analyses and simulations to address pressing hydrogeological challenges.

Accolades and Recognition

While Mr. Victor Klaba's career is still in its early stages, his dedication and contributions to hydrogeological research have already been recognized by his peers and mentors. His involvement in the TRANSKARST project and other research initiatives demonstrates his commitment to advancing knowledge in the field of hydrogeology. As he continues to make strides in his research, Victor is poised to receive further accolades and recognition for his contributions to hydrogeological science and water resource management.

Impact and Influence

Mr. Victor Klaba's work in hydrogeology has the potential to have a significant impact on society and the environment. By studying karst systems, which serve as critical drinking water resources for a large portion of the global population, Victor's research directly contributes to addressing pressing issues related to water scarcity and quality. His findings and recommendations have the potential to inform policy decisions and management practices, ensuring the sustainable use and protection of groundwater resources for future generations.

The Object Detection and Recognition Award celebrates individuals who have demonstrated outstanding achievements in advancing the field of computer vision through innovative research and practical applications. This prestigious award recognizes researchers and technologists who have made significant contributions to the development of algorithms, methodologies, and systems for detecting and recognizing objects in images and videos.

Legacy and Future Contributions

As Mr. Victor Klaba continues his academic and professional journey in hydrogeology, his legacy will be defined by his contributions to advancing knowledge and understanding in the field. Through his research, he seeks to address complex hydrogeological challenges and develop innovative solutions for sustainable water resource management. By integrating multidisciplinary approaches and leveraging advanced modeling techniques, Victor aims to leave a lasting impact on hydrogeological science and contribute to the development of effective strategies for safeguarding water resources in a changing world.

Notable Publication