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Philipp Krähenbühl
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Related contextRelated contextRelated contextCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipCo-authorshipAuthorshipAuthorshipWorks onWorks onWorks onWorks onAuthorshipWorks onWorks onWorks onWorks onWorks onWorks onWorks onWorks onWorks onWorks onWorks onAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipAuthorshipTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalTopic signalAuthorshipPhilipp KrähenbühlAPhilipp KrähenbühlResearcherDo multimodal models imagine electric sheep?WDo multimodal models im...preprint / 2026Santhosh Kumar RamakrishnanASanthosh Kumar Ramakris...ResearcherCarl VondrickACarl VondrickResearcherRaja GiryesARaja GiryesResearcherVladlen KoltunAVladlen KoltunResearcherEfficient Inference in Fully Connected CRFs with Gaussian Edge PotentialsWEfficient Inference in ...preprint / 2012Data-dependent Initializations of Convolutional Neural NetworksWData-dependent Initiali...preprint / 2016Computer VisionTComputer Vision30606 worksArtificial IntelligenceTArtificial Intelligence22915 worksMachine LearningTMachine Learning49008 worksCross-view Transformers for real-time Map-view Semantic SegmentationWCross-view Transformers...preprint / 2022Learning from All VehiclesWLearning from All Vehiclespreprint / 2022Compressed Map Priors for 3D PerceptionWCompressed Map Priors f...preprint / 2025Learning a Discriminative Model for the Perception of Realism in Composite ImagesWLearning a Discriminati...preprint / 2015Learning Data-driven Reflectance Priors for Intrinsic Image DecompositionWLearning Data-driven Re...preprint / 2015Constrained Convolutional Neural Networks for Weakly Supervised SegmentationWConstrained Convolution...preprint / 2015Constrained Structured Regression with Convolutional Neural NetworksWConstrained Structured ...preprint / 2015Learning Dense Correspondence via 3D-guided Cycle ConsistencyWLearning Dense Correspo...preprint / 2016Simple multi-dataset detectionWSimple multi-dataset de...preprint / 2022
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Philipp Krähenbühl

Researcher