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alization of otsu s method and minimum error thresholding jonathan t barron eccv 2020 nbsp spotlight code video bibtex a simple and fast bayesian algorithm that can be written in 10 lines of code outperforms or matches giant cnns on image binarization and unifies three classic thresholding algorithms what matters in unsupervised optical flow rico jonschkowski austin stone jonathan t barron ariel gordon kurt konolige anelia angelova eccv 2020 nbsp oral presentation code extensive experimentation yields a simple optical flow technique that is trained on only unlabeled videos but still works as well as supervised techniques your browser does not support the video tag nerf representing scenes as neural radiance fields for view synthesis ben mildenhall pratul srinivasan matthew tancik jonathan t barron ravi ramamoorthi ren ng eccv 2020 nbsp oral presentation best paper honorable mention cacm research highlight project page arxiv talk video supp video code cacm foreward training a tiny non convolutional neural network to reproduce a scene using volume rendering achieves photorealistic view synthesis portrait shadow manipulation xuaner cecilia zhang jonathan t barron yun ta tsai rohit pandey xiuming zhang ren ng david e jacobs siggraph 2020 project page video networks can be trained to remove shadows cast on human faces and to soften harsh lighting learning to autofocus charles herrmann richard strong bowen neal wadhwa rahul garg qiurui he jonathan t barron ramin zabih cvpr 2020 project page arxiv machine learning can be used to train cameras to autofocus which is not the same problem as depth from defocus your browser does not support the video tag lighthouse predicting lighting volumes for spatially coherent illumination pratul srinivasan ben mildenhall matthew tancik jonathan t barron richard tucker noah snavely cvpr 2020 project page code arxiv video we predict a volume from an input stereo pair that can be used to calculate incident lighting at any 3d point within a scene sky optimization semantically aware image processing of skies in low light photography orly liba longqi cai yun ta tsai elad eban yair movshovitz attias yael pritch huizhong chen jonathan t barron ntire cvprw 2020 project page if you want to photograph the sky it helps to know where the sky is handheld mobile photography in very low light orly liba kiran murthy yun ta tsai timothy brooks tianfan xue nikhil karnad qiurui he jonathan t barron dillon sharlet ryan geiss samuel w hasinoff yael pritch marc levoy siggraph asia 2019 project page by rethinking metering white balance and tone mapping we can take pictures in places too dark for humans to see clearly a deep factorization of style and structure in fonts nikita srivatsan jonathan t barron dan klein taylor berg kirkpatrick emnlp 2019 nbsp oral presentation variational auto encoders can be used to disentangle a characters style from its content learning single camera depth estimation using dual pixels rahul garg neal wadhwa sameer ansari jonathan t barron iccv 2019 nbsp oral presentation code bibtex considering the optics of dual pixel image sensors improves monocular depth estimation techniques single image portrait relighting tiancheng sun jonathan t barron yun ta tsai zexiang xu xueming yu graham fyffe christoph rhemann jay busch paul debevec ravi ramamoorthi siggraph 2019 project page arxiv video press bibtex training a neural network on light stage scans and environment maps produces an effective relighting method a general and adaptive robust loss function jonathan t barron cvpr 2019 nbsp oral presentation best paper award finalist arxiv supplement video talk slides code tf jax pytorch reviews bibtex a single robust loss function is a superset of many other common robust loss functions and allows training to automatically adapt the robustness of its own loss pushing the boundaries of view extrapolation with multiplane images pratul p srinivasan richard tucker jonathan t barron ravi ramamoorthi ren ng noah snavely cvpr 2019 nbsp oral presentation best paper award finalist supplement video bibtex view extrapolation with multiplane images works better if you reason about disocclusions and disparity sampling frequencies unprocessing images for learned raw denoising tim brooks ben mildenhall tianfan xue jiawen chen dillon sharlet jonathan t barron cvpr 2019 nbsp oral presentation arxiv project page code bibtex we can learn a better denoising model by processing and unprocessing images the same way a camera does learning to synthesize motion blur tim brooks jonathan t barron cvpr 2019 nbsp oral presentation arxiv supplement project page video code bibtex frame interpolation techniques can be used to train a network that directly synthesizes linear blur kernels stereoscopic dark flash for low light photography jian wang tianfan xue jonathan t barron jiawen chen iccp 2019 by making one camera in a stereo pair hyperspectral we can multiplex dark flash pairs in space instead of time depth from motion for smartphone ar julien valentin adarsh kowdle jonathan t barron neal wadhwa and others siggraph asia 2018 planar filter toy code bibtex depth cues from camera motion allow for real time occlusion effects in augmented reality applications synthetic depth of field with a single camera mobile phone neal wadhwa rahul garg david e jacobs bryan e feldman nori kanazawa robert carroll yair movshovitz attias jonathan t barron yael pritch marc levoy siggraph 2018 arxiv blog post bibtex dual pixel cameras and semantic segmentation algorithms can be used for shallow depth of field effects this system is the basis for portrait mode on the google pixel 2 smartphones aperture supervision for monocular depth estimation pratul p srinivasan rahul garg neal wadhwa ren ng jonathan t barron cvpr 2018 code bibtex varying a camera s aperture provides a supervisory signal that can teach a neural network to do monocular depth estimation burst denoising with kernel prediction networks ben mildenhall jonathan t barron jiawen chen dillon sharlet ren ng robert carroll cvpr 2018 nbsp spotlight supplement code bibtex we train a network to predict linear kernels that denoise noisy bursts from cellphone cameras a hardware friendly bilateral solver for real time virtual reality video amrita mazumdar armin alaghi jonathan t barron david gallup luis ceze mark oskin steven m seitz high performance graphics hpg 2017 project page a reformulation of the bilateral solver can be implemented efficiently on gpus and fpgas deep bilateral learning for real time image enhancement michaël gharbi jiawen chen jonathan t barron samuel w hasinoff frédo durand siggraph 2017 project page video bibtex p r e s s by training a deep network in bilateral space we can learn a model for high resolution and real time image enhancement fast fourier color constancy jonathan t barron yun ta tsai cvpr 2017 video bibtex code output blog post p r e s s color space can be aliased allowing white balance models to be learned and evaluated in the frequency domain this improves accuracy by 13 20 and speed by 250 3000x this technology is used by google pixel google photos and google maps your browser does not support the video tag jump virtual reality video robert anderson david gallup jonathan t barron janne kontkanen noah snavely carlos hern aacutendez sameer agarwal steven m seitz siggraph asia 2016 supplement video bibtex blog post using computer vision and a ring of cameras we can make video for virtual reality headsets that is both stereo and 360 this technology is used by jump burst photography for high dynamic range and low light imaging on mobile cameras samuel w hasinoff dillon sharlet ryan geiss andrew adams jonathan t barron florian kainz jiawen chen marc levoy siggraph asia 2016 project page supplement bibtex mobile phones can take beautiful photographs in low light or high dynamic range environments by aligning and merging a burst of images this technology is used by the nexus hdr feature the fast bilateral solver jonathan t barron ben poole eccv 2016 nbsp oral presentation best paper honorable mention arxiv bibtex video they messed up my slides use keynote or pdf code depth super res results reviews our solver smooths things better than other filters and faster than other optimization algorithms and you can backprop through it geometric calibration for mobile stereo autofocus cameras stephen diverdi jonathan t barron wacv 2016 bibtex standard techniques for stereo calibration don t work for cheap mobile cameras semantic image segmentation with task specific edge detection using cnns and a discriminatively trained domain transform cvpr 2016 liang chieh chen jonathan t barron george papandreou kevin murphy alan l yuille bibtex project page code by integrating an edge aware filter into a convolutional neural network we can learn an edge detector while improving semantic segmentation convolutional color constancy jonathan t barron iccv 2015 supplement bibtex video or mp4 by framing white balance as a chroma localization task we can discriminatively learn a color constancy model that beats the state of the art by 40 scene intrinsics and depth from a single image evan shelhamer jonathan t barron trevor darrell iccv workshop 2015 bibtex the monocular depth estimates produced by fully convolutional networks can be used to inform intrinsic image estimation your browser does not support the video tag fast bilateral space stereo for synthetic defocus jonathan t barron andrew adams yichang shih carlos hern aacutendez cvpr 2015 nbsp oral presentation abstract supplement bibtex talk keynote or pdf by embedding a stereo optimization problem in bilateral space we can very quickly solve for an edge aware depth map letting us render beautiful depth of field effects this technology is used by the google camera lens blur feature multiscale combinatorial grouping for image segmentation and object proposal generation jordi pont tuset pablo arbel aacuteez jonathan t barron ferran marqu eacutes jitendra malik tpami 2017 project page bibtex fast eigenvector code we produce state of the art contours regions and object candidates and we compute normalized cuts eigenvectors 20 times faster this paper subsumes our cvpr 2014 paper shape illumination and reflectance from shading jonathan t barron jitendra malik tpami 2015 bibtex keynote or powerpoint pdf video code data kudos we present sirfs which can estimate shape chromatic illumination reflectance and shading from a single image of an masked object this paper subsumes our cvpr 2011 cvpr 2012 and eccv 2012 papers multiscale combinatorial grouping pablo arbel aacuteez jordi pont tuset jonathan t barron ferran marqu eacutes jitendra malik cvpr 2014 project page bibtex this paper is subsumed by our journal paper your browser does not support the video tag volumetric semantic segmentation using pyramid context features jonathan t barron pablo arbel aacuteez soile v e ker aumlnen mark d biggin david w knowles jitendra malik iccv 2013 supplement poster bibtex video 1 or mp4 video 2 or mp4 code data we present a technique for efficient per voxel linear classification which enables accurate and fast semantic segmentation of volumetric drosophila imagery 3d self portraits hao li etienne vouga anton gudym linjie luo jonathan t barron gleb gusev siggraph asia 2013 video shapify me bibtex our system allows users to create textured 3d models of themselves in arbitrary poses using only a single 3d sensor your browser does not support the video tag intrinsic scene properties from a single rgb d image jonathan t barron jitendra malik cvpr 2013 nbsp oral presentation supplement bibtex talk keynote or powerpoint pdf code data by embedding mixtures of shapes lights into a soft segmentation of an image and by leveraging the output of the kinect we can extend sirfs to scenes tpami journal version version bibtex boundary cues for 3d object shape recovery kevin karsch zicheng liao jason rock jonathan t barron derek hoiem cvpr 2013 supplement bibtex boundary cues like occlusions and folds can be used for shape reconstruction which improves object recognition for humans and computers your browser does not support the video tag color constancy intrinsic images and shape estimation jonathan t barron jitendra malik eccv 2012 supplement bibtex poster video this paper is subsumed by sirfs shape albedo and illumination from a single image of an unknown object jonathan t barron jitendra malik cvpr 2012 supplement bibtex poster this paper is subsumed by sirfs a category level 3 d object dataset putting the kinect to work allison janoch sergey karayev yangqing jia jonathan t barron mario fritz kate saenko trevor darrell iccv 3drr workshop 2011 bibtex smoothing code we present a large rgb d dataset of indoor scenes and investigate ways to improve object detection using depth information high frequency shape and albedo from shading using natural image statistics jonathan t barron jitendra malik cvpr 2011 bibtex this paper is subsumed by sirfs discovering efficiency in coarse to fine texture classification jonathan t barron jitendra malik technical report 2010 bibtex a model and feature representation that allows for sub linear coarse to fine semantic segmentation parallelizing reinforcement learning jonathan t barron dave golland nicholas j hay technical report 2009 bibtex markov decision problems which lie in a low dimensional latent space can be decomposed allowing modified rl algorithms to run orders of magnitude faster in parallel blind date using proper motions to determine the ages of historical images jonathan t barron david w hogg dustin lang sam roweis the astronomical journal 136 2008 using the relative motions of stars we can accurately estimate the date of origin of historical astronomical images cleaning the usno b catalog through automatic detection of optical artifacts jonathan t barron christopher stumm david w hogg dustin lang sam roweis the astronomical journal 135 2008 we use computer vision techniques to identify and remove diffraction spikes and reflection halos in the usno b catalog in use at astrometry net miscellanea micropapers squareplus a softplus like algebraic rectifier a convenient generalization of schlick s bias and gain functions continuously differentiable exponential linear units scholars big models how can academics adapt recorded talks radiance fields and the future of generative media 2025 view dependent podcast 2024 bay area robotics symposium 2023 egsr keynote 2021 tum ai lecture series 2020 vision graphics seminar at mit 2020 academic service lead area chair iccv 2025 lead area chair cvpr 2025 area chair cvpr 2024 demo chair cvpr 2023 area chair cvpr 2022 area chair award committee member cvpr 2021 area chair cvpr 2019 area chair cvpr 2018 teaching graduate student instructor cs188 spring 2011 graduate student instructor cs188 fall 2010 figures artificial intelligence a modern approach 3rd edition feel free to 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