Showing 1–20 of 38 results
/ Date/ Name
Aug 22, 2021Spatial Transformer Networks for Curriculum LearningMar 14, 2022Less is More: Proxy Datasets in NAS approachesJun 27, 2021A Reinforcement Learning Approach for Sequential Spatial Transformer NetworksApr 25, 2020Revisiting Sequence-to-Sequence Video Object Segmentation with Multi-Task Loss and Skip-MemoryOct 10, 2020Hybrid-S2S: Video Object Segmentation with Recurrent Networks and Correspondence MatchingJan 25, 2021Adversarial Text-to-Image Synthesis: A ReviewNov 13, 2015Symbol Grounding Association in Multimodal Sequences with Missing ElementsAug 18, 2023Which Transformer to Favor: A Comparative Analysis of Efficiency in Vision TransformersMar 25, 2021AttrLostGAN: Attribute Controlled Image Synthesis from Reconfigurable Layout and StyleApr 23, 2021ESResNe(X)t-fbsp: Learning Robust Time-Frequency Transformation of AudioMar 25, 2024A Study in Dataset Pruning for Image Super-ResolutionNov 15, 2024A Low-Resolution Image is Worth 1x1 Words: Enabling Fine Image Super-Resolution with Transformers and TaylorShiftAug 15, 2023Dynamic Attention-Guided Diffusion for Image Super-ResolutionSep 26, 2025HyperCore: Coreset Selection under Noise via Hypersphere ModelsFeb 23, 2026When Pretty Isn't Useful: Investigating Why Modern Text-to-Image Models Fail as Reliable Training Data GeneratorsMar 22, 2018What do Deep Networks Like to See?Jan 1, 2024Diffusion Models, Image Super-Resolution And Everything: A SurveyNov 18, 2024Zoomed In, Diffused Out: Towards Local Degradation-Aware Multi-Diffusion for Extreme Image Super-ResolutionApr 26, 2024Federated Learning for Blind Image Super-ResolutionMar 26, 2020P $\approx$ NP, at least in Visual Question Answering