Artificial Intelligence & Image Analysis (AIIA) Lab
Artificial Intelligence & Image Analysis (AIIA) Lab
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Junjun Jiang
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Guided Depth Map Super-Resolution: A Survey
Asymmetric Loss Functions for Noise-Tolerant Learning: Theory and Applications
Spatial-Frequency Mutual Learning for Face Super-Resolution
Local Surface Descriptor for Geometry and Feature Preserved Mesh Denoising
High-Resolution Depth Maps Imaging via Attention-Based Hierarchical Multi-Modal Fusion
ReSmooth: Detecting and Utilizing OOD Samples When Training With Data Augmentation
Simipu: Simple 2d image and 3d point cloud unsupervised pre-training for spatial-aware visual representations
Towards end-to-end image compression and analysis with transformers
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