Session 1: Moving Object Detection in AI-based All-Weather Surveillance System (2h) - Chair : Ass. Prof. Santosh Kumer Vipparthi (IIT Ropar, India).
Invited Talk: Prof. Marc van Droogenbroeck, (Institut Montefiore, Belgium) (20 min presentation + 10 min questions) (13h30-14h00)
Metrics and Performance Evaluation of AI-based Moving Object Detection: A Revisitation.
Presentation Accept Papers (10 min each + 5 min discussion/questions)
BgSub: A Background Subtraction Model for Effective Moving Object Detection (14h00-14h15)
I. Osman (University of British Columbia, Canada), M. Shehata (University of British Columbia, Canada)
Analysis of Adapter in Attention of Change Detection Vision Transformer (14h15-14h30)
R. Hamada (Kyushu Univ., Japan), T. Minematsu (Kyushu Univ., Japan), C. Tang (Kyushu Univ., Japan), A. Shimada (Kyushu Univ., Japan)
Physically Interpretable Probabilistic Domain Characterization (14h30-14h45)
A. Halin (Univ. Liège, Belgium), S. Pierard (Univ. Liège, Belgium), R. Vandeghen (Univ. Liège, Belgium), B . Gérin (UCLouvain, Belgium) , M. Zanella (UCLouvain, Belgium), M. Colot (Université Libre de Bruxelles, Belgium), J. Held (Univ. Liège, Belgium), A. Cioppa (Univ. Liège, Belgium), E. Jean (Multitel, Belgium), G. Bontempi, S. Mahmoudi, B. Macq, M. Van Droogenbroeck (Univ. Liège, Belgium)
WARMOS: Enhancing Weather-Affected Referred Moving Object Segmentation (14h45-15h00)
P. Saxena (MNIT Jaipur, India), D. Tyagi (MNIT Jaipur, India), S. Vipparthi (IIT Ropar, India), S. Murala (Trinity College Dubli,, Ireland)
Robust Anomaly Detection through Transformer-Encoded Feature Diversity Learning (15h00-15h15)
K. Biradar (MNIT Jaipur, India), D. Tyagi (MNIT Jaipur, India), R. Battula (MNIT Jaipur, India)
Session 2: Image and Video Enhancement and Datasets in AI-based All-Weather Surveillance System - Chair : Ass. Prof. Subrahmanyam Murala (Trinity College Dublin, Ireland)
Invited Talk: Ass. Prof .Badri Subudhi) (Indian Institute of Technology, Jammu, India) (20 min presentation + 10 min questions) (15h30-16h00)
Thermal Video Surveillance System using Deep Learning Architectures: A Review.
Presentation Accepted Papers (10 min each + 5 min discussion/questions)
Leveraging Thermal Imaging for Robust Human Pose Estimation in Low-Light Vision (16h-16h15)
M. Cormier (Fraunhofer IOSB, Karlsruhe, Germany), C. Yi (Fraunhofer, IOSB, Germany), A. Specker (Fraunhofer, IOSB, Germany), B. Blaß (Stahl-Holding-Saar, Germany), M. Heizmann (Karlsruher Institut Fuer Technologie, Germany), J. Beyerer (Fraunhofer, IOSB, Germany)
RW-SVD: A Surround View Rough Weather Video Anomaly Dataset and A Brief Overview of Existing Datasets (16h15-16h30)
S. Dube (Malaviya National Institute of Technology, Jaipur, India), D. Kumar Tyagi (MNIT Jaipur, India), R. Battula (MNIT, India)
U-ENHANCE: Underwater Image Enhancement using Wavelet Triple Self-Attention (16h30-16h45)
P. Mishra (Indian Institute of Technology, Ropar, India), S. Kumar Vipparthi (IIT Ropar, India), S. Murala (Trinity College Dublin, Ireland)
Adversarial Weather-Resilient Image Retrieval: Enhancing Restoration using Captioning for Robust Visual Search (16h45-17h00)
P. Yadav (MNIT, India), K. Singh (MNIT, India), D. Tyagi (MNIT Jaipur, India), R. Battula (MNIT Jaipur, India)
Supervised Domain Adaptation with Disjoint Label Spaces for Fine-Grained Classification (17h00-17h15)
E. Krohmer (Fraunhofer, IOSTIE, Germany), S. Wolf (Fraunhofer, IOSTIE, Germany), J. Beyerer (Fraunhofer, IOSB, Germany)