MobileIQA: Exploiting Mobile-level Diverse Opinion Network For No-Reference Image Quality Assessment Using Knowledge Distillation.- AIM 2024 Sparse Neural Rendering Challenge: Methods and Results.- AIM 2024 Sparse Neural Rendering Challenge: Dataset and Benchmark.- Unsupervised Anomaly Segmentation at High Resolution with Patch-Divide-and-Conquer and Self-Ensembling.- Compression-RQ-VQA: Leveraging Rich Quality-aware Features for Compressed Video Quality Assessment.- Learning from Strong to Weak - An Enhanced Quality Comparison Network via Efficient Transfer Learning.- Assessing UHD Image Quality from Aesthetics, Distortions, and Saliency.- AVSal: Enhancing Video Saliency Prediction through Audio-Visual Fusion and Temporal Aggregation.- SR-VQA: Super-Resolution Video Quality Assessment Model.- AIM 2024 Challenge on Video Super-Resolution Quality Assessment: Methods and Results.- AIM 2024 Challenge on Video Saliency Prediction: Methods and Results.- Advancing Few-Shot Novel View Synthesis with Teacher-Student Guided Scene Geometry Refinement.- AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and Results.- TASOD: A Data Collection for Tiny and Small Object Detection.- Effective Prior Regularized Sparse Learning.- AIM 2024 Challenge on UHD Blind Photo Quality Assessment.- Compressed Depth Map Super-Resolution and Restoration: AIM 2024 Challenge Results.- AIM 2024 Challenge on Efficient Video Super-Resolution for AV1 Compressed Content.- Segment, Select, Correct: A Framework for Weakly-Supervised Referring Segmentation.- Leveraging Object Priors for Point Tracking.- PVUW 2024 Challenge on Complex Video Understanding: Methods and Results.- LSVOS Challenge Report: Large-scale Complex and Long Video Object Segmentation.
