VIP-P3.3
PG-DPIR: AN EFFICIENT PLUG-AND-PLAY METHOD FOR HIGH-COUNT POISSON-GAUSSIAN INVERSE PROBLEMS
Maud Biquard, ISAE-Supaero/CNES, France; Marie Chabert, IRIT/Toulouse-INP, France; Florence Genin, Christophe Latry, CNES, France; Thomas Oberlin, ISAE-Supaero, France
Session:
VIP-P3: Machine learning tools for Image processing Poster
Track:
VIP - Visual Information Processing
Location:
Poster Area E
Presentation Time:
Wed, 10 Sep, 11:00 - 12:40 Italy Time (UTC +2)
Session Chair:
Simone Milani, University of Padua, Italy
Presentation
Discussion
Resources
No resources available.
Session VIP-P3
VIP-P3.1: Multispectral Human Presence Detection using Adapted YOLO Network
Frencis Balla, Raju Shrestha, Oslo Metropolitan University, Norway
VIP-P3.2: Revising Second Order Terms in Deep Animation Video Coding
Konstantin Schmidt, Thomas Richter, Fraunhofer IIS, Germany
VIP-P3.3: PG-DPIR: AN EFFICIENT PLUG-AND-PLAY METHOD FOR HIGH-COUNT POISSON-GAUSSIAN INVERSE PROBLEMS
Maud Biquard, ISAE-Supaero/CNES, France; Marie Chabert, IRIT/Toulouse-INP, France; Florence Genin, Christophe Latry, CNES, France; Thomas Oberlin, ISAE-Supaero, France
VIP-P3.4: Visible Occluders as Opportunistic Apertures for Wide Field of View Non-line-of-sight 3D Imaging
Robinson Czajkowski, John Murray-Bruce, University of South Florida, United States
VIP-P3.5: A TWO-STAGE MULTI-MODAL LLM FINE-TUNING FRAMEWORK FOR ANALYZING BUILDING SURFACE DEFECTS
Gengyang Xu, Feng Pan, Pong Chi YUEN, Hong Kong Baptist University, China
VIP-P3.6: ZERO-SHOT ANOMALY DETECTION IN BATTERY THERMAL IMAGES USING VISUAL QUESTION ANSWERING WITH PRIOR KNOWLEDGE
Marcella Astrid, Abdelrahman Shabayek, Djamila Aouada, University of Luxembourg, Luxembourg
VIP-P3.7: POTENTIAL CONTRAST: PROPERTIES, EQUIVALENCES, AND GENERALIZATION TO MULTIPLE CLASSES
Wallace Peaslee, Anna Breger, Carola Schönlieb, University of Cambridge, United Kingdom