Thierry BOUWMANS is an Associate Professor at the University of La Rochelle (France) since 2000. He obtained the diploma of HDR for full professor position in 2014. His recent research interests consist mainly in the use of graph neural networks (GNNs) and graph signal processing (GSP) in the field of sound anomaly detection and moving objects detection in challenging environments. He has authored more than 150 papers in refereed international journals and conferences and has coauthored two books in CRC Press (background/foreground separation for video surveillance, robust PCA via decomposition in low rank and sparse matrices). His research investigated particularly the use of mathematical concepts (Statistical concepts, fuzzy concepts, Dempter-schäfer concepts), representation learning methods (discriminative subspace learning models, robust PCA), machine learning methods (GANs, GNNs) and graph signal processing. It also concerns full exhaustive surveys on mathematical tools used in foreground/background separation. He served as the Lead GE and co-GE in several special issues in IEEE (JSTP, Proceeding of IEEE, TCSVT), ACM (TOMM, TALLIP), ELSEVIER (PRL), and SPRINGER (MVA) journals. He is also the main organizer of the RSL-CV workshops hosted at ICCV (2015, 2017, 2019 and 2021) and the organizer of the workshop of " When Graph Signal Processing meets Computer Vision” at ICCV 2021. He has supervised seven PhD in this field. He is the creator and the administrator of the Background Subtraction Web Site (33 115 visits and 17 636 visitors). He is a reviewer for international journals including IEEE (Trans. on Image Processing, Trans. on Multimedia, Trans. on CSVT, etc.), SPRINGER (IJCV, MVA, etc.) and ELSEVIER (CVIU, PR, PRL, etc.), and top-level conferences such as CVPR, ICPR, ICIP, AVSS, ICASSP, etc.  

Anastasia Zakharova is an Associate Professor at the INSA Rouen Normandie (France) from 2011, and she is with University of La Rochelle (France) since 2018. Her research interests lie in the domain of graph neural networks (GNNs) and signal processing, with the emphasis on techniques of multiresolution analysis, wavelet decompositions, redundant decompositions, sparse representations and graph signal processing. She has supervised two PhD in this field of object detection. She is a reviewer for IEEE journals (TGRS, SPL) and ELSEVIER journals (PRL). She was an invited talk at workshops hold at ICME 2025 and ICIP 2025. 

Badri Narayan Subudhi is an Associate professor at the Indian Institute of Technology Jammu, Jammu, India. He received a B.E. degree in electronics and communication engineering from Bijupatnaik University of Technology, Rourkela, India, and an M.Tech. degree in Electronics System & Communication from the National Institute of Technology, Rourkela, during 2008–2009, and the Ph.D. degree from the Machine Intelligence Unit, Indian Statistical Institute, Kolkata, India, in 2014. From 2014 to 2017, he was an Assistant Professor with the National Institute of Technology, Goa, India. In 2017, he joined the Indian Institute of Technology Jammu. He is a Senior Member of IEEE, a Life Member of IUPRAI, a Member of ACM, and a Member of APNNS. His research interests include video processing, image processing, underwater surveillance, machine learning, pattern recognition, and remote sensing image analysis.

Meghna Kapoor is a research scholar at Indian Institute of Technology Jammu and selected for the prestigious Prime Minister’s Research Fellowship for Doctoral Research in 2021. Her research is centered around underwater surveillance using graph learning, an emerging field with interdisciplinary applications in security, environmental monitoring, and autonomous systems. She is an active reviewer for leading journals and conferences, including IEEE Access, CVPR, ICCV, and ACCV, and has received multiple travel grants to attend top-tier international conferences, highlighting her strong engagement with the global research community.

Dong Liang received a BS degree and an MS degree from Lanzhou University, China, in 2008 and 2011. He received a PhD from Hokkaido University, Japan, in 2015. He is now a professor at the College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics (NUAA). His research interests include machine learning, computer vision, and HCI. He has published several research papers in IEEE TPAMI/TIP/TNNLS/TMM/TGRS, International Journal of Computer Vision, Pattern Recognition and ICCV/ECCV/AAAI/IJCAI. He is an Associate Editor of The Visual Computer.