TP1.L4: Robust Machine Learning Methods for Image & Video Processing - V
Tue, 29 Oct, 14:30 - 16:00 Gulf Standard Time (UTC +4)
Location: Lecture Room 4
Session Type: Lecture
Session Co-Chairs: Mohamed Deriche, Ajman University and Naoufel Werghi, Khalifa University
Track: Visual Artificial Intelligence
Click the to view the manuscript on IEEE Xplore Open Preview
Tue, 29 Oct, 14:30 - 14:48 Gulf Standard Time (UTC +4)

TP1.L4.1: Integrating Vision-Language Supervision for Uniform Appearance Tracking

Mohamad Alansari, Ahmed Abughali, Obadah Habash, Khaled Alnuaimi, Sajid Javed, Naoufel Werghi, Khalifa University, United Arab Emirates
Tue, 29 Oct, 14:48 - 15:06 Gulf Standard Time (UTC +4)

TP1.L4.2: CLIFS: CLIP-DRIVEN FEW-SHOT LEARNING FOR BAGGAGE THREAT CLASSIFICATION

Abdelfatah Ahmed, Divya Velayudhan, Mahmoud Elmezain, Muaz Al Radi, Abderrahmene Boudiaf, Khalifa University, United Arab Emirates; Taimur Hassan, Abu Dhabi University, United Arab Emirates; Mohamed Deriche, Ajman University, United Arab Emirates; Mohammed Bennamoun, University of Western Australia, Australia; Naoufel Werghi, Khalifa University, United Arab Emirates
Tue, 29 Oct, 15:06 - 15:24 Gulf Standard Time (UTC +4)

TP1.L4.3: Smo-CLIP: Enhancing Anomalous Smoke Density Assessment using A Hybrid LLM-VLM Approach

Pengfei Li, Muaz Al Radi, Mahmoud Said Elmezain, Abdelfatah Hassan Ahmed, Abderrahmene Boudiaf, Said Boumaraf, Jorge Dias, Hamad Karki, Sajid Javed, Khalifa University, United Arab Emirates; Khalid Yousef Al Awadhi, Abu Dhabi National Oil Company (ADNOC), United Arab Emirates; Naoufel Werghi, Khalifa University, United Arab Emirates
Tue, 29 Oct, 15:24 - 15:42 Gulf Standard Time (UTC +4)

TP1.L4.4: MULTI-ATTRIBUTE VISION TRANSFORMERS ARE EFFICIENT AND ROBUST LEARNERS

Hanan Gani, Nada Saadi, Noor Hussein, Karthik Nandakumar, Mohamed Bin Zayed University of Artificial Intelligence, United Arab Emirates
Tue, 29 Oct, 15:42 - 16:00 Gulf Standard Time (UTC +4)

TP1.L4.5: META-DM: APPLICATIONS OF DIFFUSION MODELS ON FEW-SHOT LEARNING

Wentao Hu, Jiarun Liu, Jiawei Wang, Hui Tian, Beijing University of Posts and Telecommunications, China