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philipp krähenbühl home code philipp krähenbühl department of computer science university of texas at austin 2317 speedway austin tx 78712 1757 email philkr at cs utexas edu cv dblp google scholar github research i am an associate professor in the department of computer science at the university of texas at austin and researcher at apple i received my phd in 2014 from the cs department at stanford university and then spent two wonderful years as a postdoc at uc berkeley my research interests lie in computer vision machine learning and computer graphics i m particularly interested in deep learning image video and scene understanding publications 2024 distilling vision language models on millions of videos yue zhao long zhao xingyi zhou jialin wu chun te chu hui miao florian schroff hartwig adam ting liu boqing gong philipp krähenbühl liangzhe yuan cvpr 2024 arxiv promptable closed loop traffic simulation shuhan tan boris ivanovic yuxiao chen boyi li xinshuo weng yulong cao philipp krähenbühl marco pavone corl 2024 arxiv 2023 partdistillation learning parts from instance segmentation jang hyun cho philipp krähenbühl vignesh ramanathan cvpr 2023 code pdf learning video representations from large language models yue zhao ishan misra philipp krähenbühl rohit girdhar cvpr 2023 code arxiv language conditioned traffic generation shuhan tan boris ivanovic xinshuo weng marco pavone philipp kraehenbuehl corl 2023 code arxiv language conditioned detection transformer jang hyun cho philipp krähenbühl cvpr 2023 code arxiv predicting a protein s stability under a million mutations jeffrey ouyang zhang daniel j diaz adam r klivans philipp krähenbühl neurips 2023 code arxiv 2022 real time online video detection with temporal smoothing transformers yue zhao philipp krähenbühl eccv 2022 code arxiv long tail detection with effective class margins jang hyun cho philipp krähenbühl eccv 2022 code arxiv detecting twenty thousand classes using image level supervision xingyi zhou rohit girdhar armand joulin philipp krähenbühl ishan misra eccv 2022 code arxiv learning from all vehicles dian chen philipp krähenbühl cvpr 2022 code arxiv cross view transformers for real time map view semantic segmentation brady zhou philipp krähenbühl cvpr 2022 code arxiv global tracking transformers xingyi zhou tianwei yin vladlen koltun philipp krähenbühl cvpr 2022 code arxiv simple multi dataset detection xingyi zhou vladlen koltun philipp krähenbühl cvpr 2022 code arxiv 2021 multimodal virtual point 3d detection tianwei yin xingyi zhou philipp krähenbühl neurips 2021 code arxiv learning to drive from a world on rails dian chen vladlen koltun philipp krähenbühl iccv 2021 arxiv towards long form video understanding chao yuan wu philipp krähenbühl cvpr 2021 arxiv center based 3d object detection and tracking tianwei yin xingyi zhou philipp krähenbühl cvpr 2021 code arxiv memory optimization for deep networks aashaka shah chao yuan wu jayashree mohan vijay chidambaram philipp krähenbühl iclr 2021 code arxiv probabilistic two stage detection xingyi zhou vladlen koltun philipp krähenbühl arxiv 2021 arxiv 2020 domain adaptation through task distillation brady zhou nimit kalra philipp krähenbühl eccv 2020 code arxiv tracking objects as points xingyi zhou vladlen koltun philipp krähenbühl eccv 2020 code arxiv a multigrid method for efficiently training video models chao yuan wu ross girshick kaiming he christoph feichtenhofer philipp krähenbühl cvpr 2020 code arxiv 2019 learning by cheating dian chen brady zhou vladlen koltun philipp krähenbühl corl 2019 code arxiv monocular plan view networks for autonomous driving dequan wang coline devin qi zhi cai philipp krähenbühl trevor darrell iros 2019 arxiv objects as points xingyi zhou dequan wang philipp krähenbühl arxiv preprint arxiv 1904 07850 2019 code arxiv long term feature banks for detailed video understanding chao yuan wu christoph feichtenhofer haoqi fan kaiming he philipp krähenbühl ross girshick cvpr 2019 code arxiv supplement bottom up object detection by grouping extreme and center points xingyi zhou jiacheng zhuo philipp krähenbühl cvpr 2019 code arxiv supplement joint monocular 3d vehicle detection and tracking hou ning hu qi zhi cai dequan wang ji lin min sun philipp krähenbühl trevor darrell fisher yu iccv 2019 code arxiv does computer vision matter for action brady zhou philipp krähenbühl vladlen koltun science robotics 2019 code arxiv don t let your discriminator be fooled brady zhou philipp krähenbühl iclr 2019 pdf 2018 video compression through image interpolation chao yuan wu nayan singhal philipp krähenbühl eccv 2018 code arxiv domain transfer through deep activation matching haoshuo huang qixing huang philipp krähenbühl eccv 2018 pdf project compressed video action recognition chao yuan wu manzil zaheer hexiang hu r manmatha alexander j smola philipp krähenbühl cvpr 2018 code arxiv project free supervision from video games philipp krähenbühl cvpr 2018 code pdf project assessing generalization in deep reinforcement learning charles packer katelyn gao jernej kos philipp krähenbühl vladlen koltun dawn song arxiv 2018 arxiv 2017 sampling matters in deep embedding learning chao yuan wu r manmatha alexander j smola philipp krähenbühl iccv 2017 code arxiv project adversarial feature learning jeff donahue philipp krähenbühl trevor darrell iclr 2017 code arxiv 2016 generative visual manipulation on the natural image manifold jun yan zhu philipp krähenbühl eli shechtman alexei a efros eccv 2016 code arxiv project context encoders feature learning by inpainting deepak pathak philipp krähenbühl jeff donahue trevor darrell alyosha efros cvpr 2016 code arxiv project learning dense correspondence via 3d guided cycle consistency tinghui zhou philipp krähenbühl mathieu aubry qixing huang alyosha efros cvpr 2016 arxiv project data dependent initializations of convolutional neural networks philipp krähenbühl carl doersch jeff donahue trevor darrell iclr 2016 code arxiv 2015 learning a discriminative model for the perception of realism in composite images jun yan zhu philipp krähenbühl eli shechtman alyosha efros iccv 2015 code arxiv learning data driven reflectance priors for intrinsic image decomposition tinghui zhou philipp krähenbühl alyosha efros iccv 2015 code arxiv constrained convolutional neural networks for weakly supervised segmentation deepak pathak philipp krähenbühl trevor darrell iccv 2015 code arxiv supplement learning to propose objects philipp krähenbühl vladlen koltun cvpr 2015 code pdf 2014 geodesic object proposals philipp krähenbühl vladlen koltun eccv 2014 code pdf 2013 parameter learning and convergent inference for dense random fields philipp krähenbühl vladlen koltun icml 2013 code pdf project 2012 efficient nonlocal regularization for optical flow philipp krähenbühl vladlen koltun eccv 2012 pdf saliency filters contrast based filtering for salient region detection federico perazzi philipp krähenbühl yael pritch alexander hornung cvpr 2012 code pdf project 2011 efficient inference in fully connected crfs with gaussian edge potentials philipp krähenbühl vladlen koltun nips 2011 code arxiv project 2010 gesture controllers sergey levine philipp krähenbühl sebastian thrun vladlen koltun siggraph 2010 pdf 2009 a system for retargeting of streaming video philipp krähenbühl manuel lang alexander hornung markus gross siggraph asia 2009 pdf research group phd students brady zhou yue zhao jeffrey ouyang zhang jang hyun vincent cho shuhan tan dor litvak past phd students dian chen 2023 next waabi xingyi zhou 2022 next google chao yuan wu 2021 next facebook undergraduates and ms past undergraduates and ms tianwei yin next mit scott cao next facebook david wang next amazon chia wen cheng next facebook mina lee next google kamil ali next stanford brady zhou next intel then ut nayan singhal next facebook aml shaayaan sayed next some hedgefund nimit kalra next finance teaching cs342 neural networks fall 2017 2018 2019 cs395t deep learning seminar fall 2016 2017 2018 2019 cs394d deep learning wb all year 2019 cs395t advances in deep learning wb all year 2025 joining my research group ut cs or ece students i d recomment you to take my graduate deep learning class cs395t and start working with me through that class prospective students please read about our graduate admissions process and state your interested in my research group in your statement of purpose please do not contact me directly the statistics are not in your favor either we have not yet admitted a single student to utcs who contacted me directly about my last name i m well aware that my last name is not the easiest one to write or cite and i saw it butchered a bunch of times over the years so to make things easier just pick your document type below and copy the string regular text krähenbühl latex bibtex kr ahenb uhl html krähenbühl if all the above fail just use kraehenbuehl 2025 philipp krähenbühl powered by hugo