Showing 1–20 of 20 results
/ Date/ Name
Jan 13, 2026From Local Windows to Adaptive Candidates via Individualized Exploratory: Rethinking Attention for Image Super-ResolutionJan 7, 2026IDESplat: Iterative Depth Probability Estimation for Generalizable 3D Gaussian SplattingOct 15, 2025NTIRE 2025 Challenge on Low Light Image Enhancement: Methods and ResultsSep 28, 2025Texture Vector-Quantization and Reconstruction Aware Prediction for Generative Super-ResolutionApr 29, 2025Neural Stereo Video Compression with Hybrid Disparity CompensationSep 25, 2024NTIRE 2024 Challenge on Stereo Image Super-Resolution: Methods and ResultsJul 3, 2024Stereo Risk: A Continuous Modeling Approach to Stereo MatchingOct 21, 2023Learning Motion Refinement for Unsupervised Face AnimationMar 31, 2023Single Image Depth Prediction Made Better: A Multivariate Gaussian TakeFeb 13, 2023VA-DepthNet: A Variational Approach to Single Image Depth PredictionMay 11, 2022Revisiting Random Channel Pruning for Neural Network CompressionMay 28, 2021Improving Facial Attribute Recognition by Group and Graph LearningJun 29, 2020The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network ArchitecturesMay 13, 2020Flexible Example-based Image Enhancement with Task Adaptive Global Feature Self-Guided NetworkMar 30, 2020DHP: Differentiable Meta Pruning via HyperNetworksMar 19, 2020Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network CompressionNov 4, 2019AIM 2019 Challenge on Constrained Super-Resolution: Methods and ResultsAug 23, 2019Learning Filter Basis for Convolutional Neural Network CompressionApr 1, 2019Learning Content-Weighted Deep Image CompressionJul 30, 2018Multi-bin Trainable Linear Unit for Fast Image Restoration Networks