WP: Learning-Based Image and Video Coding and Processing
Wed, 7 Dec, 15:30 - 16:30 PST (UTC -7)
Location: Almaden Foyer
Session Chair: Jie Liang, Simon Fraser University, Canada
Track: Visual data coding and processing
Wed, 7 Dec, 15:30 - 16:30 PST (UTC -7)
WP.1: Improving The Reconstruction Quality by Overfitted Decoder Bias in Neural Image Compression
Wed, 7 Dec, 15:30 - 16:30 PST (UTC -7)
WP.2: EXPLAINING HIERARCHICAL FEATURES IN DYNAMIC POINT CLOUD PROCESSING
Wed, 7 Dec, 15:30 - 16:30 PST (UTC -7)
WP.3: OPENING THE BLACK BOX OF LEARNED IMAGE CODERS
Wed, 7 Dec, 15:30 - 16:30 PST (UTC -7)
WP.4: ENHANCEMENT OF CNN-BASED PROBABILITY MODELING BY LOCALLY TRAINED ADAPTIVE PREDICTION FOR EFFICIENT LOSSLESS IMAGE CODING
Wed, 7 Dec, 15:30 - 16:30 PST (UTC -7)
WP.5: A DEEP LEARNING POST-PROCESSOR WITH A PERCEPTUAL LOSS FUNCTION FOR VIDEO COMPRESSION ARTIFACT REMOVAL
Wed, 7 Dec, 15:30 - 16:30 PST (UTC -7)
WP.6: PERFORMANCE-COMPLEXITY ANALYSIS OF ADAPTIVE LOOP FILTER WITH A CNN-BASED CLASSIFICATION
Wed, 7 Dec, 15:30 - 16:30 PST (UTC -7)
WP.7: SUBSTITUTIONAL NEURAL IMAGE COMPRESSION
Wed, 7 Dec, 15:30 - 16:30 PST (UTC -7)
WP.8: Overview of Grand Challenge on Neural Network-based Video Coding in ISCAS 2022
Wed, 7 Dec, 15:30 - 16:30 PST (UTC -7)
WP.9: Accelerated Deep Lossless Image Coding with Unified Paralleleized GPU Coding Architecture
Wed, 7 Dec, 15:30 - 16:30 PST (UTC -7)