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Jose Oramas
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Jose Oramas12 visible / 12 total nodes / 22 links

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Co-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipWorks onWorks onAuthorshipWorks onAuthorshipWorks onAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipTopic signalTopic signalJose OramasAJose OramasResearcherBilinear autoencoders find interpretable manifoldsWBilinear autoencoders f...preprint / 2026Thomas DoomsAThomas DoomsResearcherWard GauderisAWard GauderisResearcherGeraint WigginsAGeraint WigginsResearcherModeling Visual Compatibility through Hierarchical Mid-level ElementsWModeling Visual Compati...preprint / 2016Machine LearningTMachine Learning49008 worksMultiple Exemplars-based Hallucinationfor Face Super-resolution and EditingWMultiple Exemplars-base...preprint / 2021In Defense of LSTMs for Addressing Multiple Instance Learning ProblemsWIn Defense of LSTMs for...preprint / 2021Reasoning about Body-Parts Relations for Sign Language RecognitionWReasoning about Body-Pa...preprint / 2016Rank Pooling for Action RecognitionWRank Pooling for Action...preprint / 2016Information Compensation for Deep Conditional Generative NetworksWInformation Compensatio...preprint / 2022
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Jose Oramas

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PaperBilinear autoencoders find interpretable manifoldsAuthorship / preprint / 2026PersonThomas DoomsCo-authorship / ResearcherPersonWard GauderisCo-authorship / ResearcherPersonGeraint WigginsCo-authorship / ResearcherPaperModeling Visual Compatibility through Hierarchical Mid-level ElementsAuthorship / preprint / 2016TopicMachine LearningWorks on / 49008 worksPaperMultiple Exemplars-based Hallucinationfor Face Super-resolution and EditingAuthorship / preprint / 2021PaperIn Defense of LSTMs for Addressing Multiple Instance Learning ProblemsAuthorship / preprint / 2021

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