omscs computational photography github

I'm interested in computational photography, computer vision and machine learning. I’m also especially excited by preserving, studying, and visualizing cultural heritage. Topics include the relationship between pictorial techniques and the human visual system; intrinsic limitations of 2D representations and their possible compensations; and technical issues involving capturing light to form images. I'm a M.S. Reference github repository for the paper "Defocus Deblurring Using Dual-Pixel Data". New forms of cameras and imaging paradigms will be introduced. Unsupervised Deep Learning for Computational Photography and Imaging Self2Self: Self-Supervised Image Denoising Self2Self with dropout: Learning self-supervised denoising from … Email / Google Scholar / Github The following will be particularly helpful to keep up with the pace of the course: Application Deadlines, Process and Requirements, Application Deadlines, Processes and Requirements, To think about images as multi-dimensional arrays on which mathematical operations can be performed to generate interesting artifacts, The technical aspects of image capture and rendering, and exploration of how such a medium can be used to its maximum potential, To mathematically model a camera as a device that maps a 3D space onto a 2D plane. I also work as Software Engineer Consultant at Vektore helping them to improve their data rendering/processing system. [Journal version] End-to-end Full Projector Compensation, This is PyTorch-lightning implementation of "Fast Image Processing with Fully-Convolutional Networks" (, Implementation of Computer Vision Models in Matlab, Bias correction method for illuminant estimation -- JOSA 2019. I obtained my Ph.D. in computer science from Northwestern University, where I worked on computational photography and computer vision with Oliver Cossairt in Computational Photography Lab .I am now a computer vision engineer at Apple. 1. This class explores how computation impacts the entire workflow of photography, which is traditionally aimed at capturing light from a (3D) scene to form a (2D) image. Georgia Institute of TechnologyNorth Avenue, Atlanta, GA 30332Phone: 404-894-2000. I am a Master student studying Computer Science at Northwestern University, IL, advised by Prof. Oliver Cossairt.I received my B.Eng. 15.3k members in the OMSCS community. Here's my GitHub. We introduce a deep neural network (DNN) architecture that uses the dual-pixel (DP) sub-aperture views to reduce defocus blur. Master's project implementing depth estimation for spherical images using unsupervised learning with CNNs. To associate your repository with the Class to Pair with Computational Photography. Face Morphing. Email / GitHub / Google Scholar / LinkedIn. My Ph.D. thesis was closely related to the tasks which involve moving objects present in videos or images captured from different view-points. Fall 2019 schedule (PDF). GitHub Gist: instantly share code, notes, and snippets. Students will undertake a hands-on approach over the entire term using computation techniques, merged with digital imaging processes to produce photographic artifacts. Personal portfolio powered by Jekyll and GitHub Pages . Due date: Tuesday, December 10, by midnight Computational Photography and Image Manipulation as a class is tought in many institutions with varying flavors. Web Application Waldo. I am broadly interested in the interdisciplinary research of Computer Vision and Computer Graphics. Machine Learning . This repo contains lecture notes and codes for Computational Photography course on Udacity. degree in Software Engineering at Sichuan University in 2019, supervised by Prof. Jiancheng Lv.I’ve also attended the Summer workshop at National University of Singapore in Big Data & Cloud Computing with full scholarship. Student, Founder. The scientific, perceptual, and artistic principles behind image-making will be emphasized, especially as impacted and changed by computation. All Georgia Tech students are expected to uphold the Georgia Tech Academic Honor Code. Colorizing. GitHub is where people build software. Learn more. Soham Ghormade. This class explores how computation impacts the entire workflow of photography, which is traditionally aimed at capturing light from a (3D) scene to form an (2D) image. You can find more information on my resume. Robotics:AI Techniques . My experience with Georgia Tech's OMSCS Published on December 20, 2016 December 20, 2016 • 434 Likes • 57 Comments. Future Video Synthesis with Object Motion Prediction Yue Wu, Rongrong Gao, Jaesik Park, Qifeng Chen CVPR, 2020 Paper / arXiv Code. My research interests lie in Computer Vision, Deep Learning and Computational Photography. - Oszkar/omscs-courses Research. I dropped this one pretty early. "3D DiffuserCam: Single-Shot Compressive Lensless Imaging." Computational Optical Sensing and Imaging. Specifically, my research interest focused on low-level vision tasks including super-resolution, denoising, and … College-level mathematics (knowledge of matrices, vectors, differentiation, and integration), Probability (probability density functions), Basic knowledge about the functioning of a camera (controlling shutter speed, ISO, aperture), Prior experience with using OpenCV and Numpy is preferable, Camera (preferably one with granular control over aperture, shutter speed, and ISO), Mac: OS X 10.6 or higher with latest updates installed, Linux: any recent distribution will work so long as you can install Python and OpenCV bindings. I am interested in Image Processing, Computational Photography and Computer Vision. Reference code for the paper: Deep White-Balance Editing, CVPR 2020 (Oral). Much of my research is about Deep Learning and Camera Pipeline. An implementation of the ICCP '16 paper "Blind Dehazing Using Internal Patch Recurrence". Computational Photography . Optical Society of America, 2017. The quality of images is higher when the number of pixels from the source and target match 1:1. This is considered to be one of the easiest classes in OMSCS, but it wasn’t for me. My personal website. Computational Photography & Computer Vision Image Warping and Mosaicing. Computer Science Online) Computational Photography (2019, Grade A) Knowledge Based Artificial Intelligence (2019, Grade A) Learning Break (AI, Entrepreneurship), March 2017 - Dec 2018. I was a research intern at MSRA, supervised by Dr. Xun Guo. student working with Professor Tae Hyun Kim at Hanyang University. Code for TIP 2017 paper --- Illumination Decomposition for Photograph with Multiple Light Sources. It was a terrible idea. PyTorch & Matlab code for the paper: CIE XYZ Net: Unprocessing Images for Low-Level Computer Vision Tasks, Code for the ICPR 2020 paper: "CURL: Neural Curve Layers for Image Enhancement", colorize video using publicly available neural-networks. How the traditional camera pipeline can be transformed by changing the sensor, illumination, lens, etc. The camera parameter could be aperture, exposure, focus, film speed or viewpoint. Spring 2017 - CS6475 - Computational Photography. For the most up-to-date information, consult the official course documentation. Create high resolution astrophotography with your smartphone. Our method is a coarse-to-fine deep learning model to correct badly-exposed photographs. Blending two images photorealistically using graphcuts, Microshift Compression: An Efficient Image Compression Algorithm for Hardware. This course is the first in a two-part series that explores the emerging new field of Computational Photography. I study computer vision, computational photography, and deep learning. APAP-bias-correction-for-illumination-estimation-methods. Simple webapp to display the courses offered by Georgia Tech's OMSCS program. Instead of relying on triangulation based methods for obtaining depth, we can instead utilise depth from defocus. Fall 2019 syllabus (PDF) topic page so that developers can more easily learn about it. Archived. Georgia Tech's Computational Photography Portfolio Senthilkumar Gopal sengopal@ ... OMSCS Prof. Irfan Essa for the lectures and such an enriched course The TAs who are always available to discuss and help our questions and thoughts on both Piazza and Slack. computational-photography My research interests are in computer graphics, computer vision, and machine learning; I’m particularly interested in problems related to the digital humanities, computational photography, and human perception. The course will involve programming assignments and projects that will test the student’s understanding of the concepts taught in class. This is the implementation for Deep High Dynamic Range Imaging with Large Foreground Motions (ECCV'18), Demo code of the paper: "Deep Image Harmonization", Y.-H. Tsai, X. Shen, Z. Lin, K. Sunkavalli, X. Lu and M.-H. Yang, CVPR 2017, White balance camera-rendered sRGB images (CVPR 2019) [Matlab & Python], Code for CVPR 2020 paper "Deep Local Parametric Filters for Image Enhancement". 80 votes, 27 comments. Specifically, I am interested in Vision and Language, 3D vision, Neural Rendering, Computational photography, Image & Video Understanding, AR/VR & Embodied AI. Close. I did my bachelors at Nanjing Agricultural University. Welcome! This class explores how computation impacts the entire workflow of photography, which is traditionally aimed at capturing light from a (3D) scene to form a (2D) image. they're used to log you in. 1. Reference code for the paper "Learning to Correct Overexposed and Underexposed Photos". More information is available on the CS 6475 course website. Over the span of the semester, students will learn: Fall 2020 syllabus Note: Sample syllabi are provided for informational purposes only. When a larger source is provided, it could be randomly cropped if a command-line argument is set (likely on by default). computational-photography Class to Pair with Computational Photography. We use optional third-party analytics cookies to understand how you use GitHub.com so we can build better products. Even if you have good time management skills, I found it too exhausting to do two courses plus a full time job, which means that slowly you will feel more tired mentally until the end of the term. log in sign up. It’s all about writing networking algorithms in Python, and it just didn’t click for me. Computational photography combines ideas in computer vision, computer graphics, and image processing to overcome limitations in image quality such as resolution, dynamic range, and defocus/motion blur. Student, OMSCS (MSc. Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model. We use essential cookies to perform essential website functions, e.g. Programming Assignment 4 In this assignment, we will implement the Poisson image blending method we covered in class: Perez et al., Poisson Image Editing, ACM Transactions on Graphics, 2003. they're used to gather information about the pages you visit and how many clicks you need to accomplish a task. You signed in with another tab or window. Computational Optical Sensing and Imaging. Image Classification. Computation Perception and Robotics. Hi there, My name is Wang, Zi-Hao (王子豪) and I go by Winston. About Projects Resume Contact. A detailed study of the perceptual, technical and computational aspects of forming pictures, and more precisely, the capture and depiction of reality on a (mostly 2D) medium of images, is undertaken over the entire term. GitHub Gist: star and fork fperezgamonal's gists by creating an account on GitHub. This course counts towards the following specialization(s): Application Integration . You can always update your selection by clicking Cookie Preferences at the bottom of the page. A collection of important assignment projects from MOOCs completed on edX and Coursera. My research includes Deep Learning applied to Computer Graphics, Computational Photography and Computer Vision. User account menu. My goal is to pursue a PhD in the intersection of computer vision and computational photography, begining Fall 2020. Data and Visual Analytics and Computational Photography. We use optional third-party analytics cookies to understand how you use GitHub.com so we can build better products. This course may impose additional academic integrity stipulations; consult the official course documentation for more information. Grade: D; Advice against For more information, see our Privacy Statement. Official repository for the paper High-Resolution Daytime Translation Without Domain Labels (CVPR2020, Oral), Learning Image-adaptive 3D Lookup Tables for High Performance Photo Enhancement in Real-time. A place for discussion for people participating in GT's OMS CS Add a description, image, and links to the I am actively working with deep neural networks for videos and image sequences. Fengqiang Li. Stackoverflow ... Git and github 101 Senthilkumar Gopal. topic, visit your repo's landing page and select "manage topics.". Github / LinkedIn / CV . There is also a solitary blog-post regarding a pet research idea of mine: CNN-SLAM. Hi all, I'm excited to start the program next semester and am still trying to decide what class I'm going to pair with Computational Photography. Our method is a deep learning multi-task framework for white-balance editing. Optical Society of America, 2017. You can view the lecture videos for this course here. This iteration of the class makes use of material from the classes by James Tompkin, Ioannis Gkioulekas, Marc Pollefeys, and Alyosha Efros. The areas of our projects include Pattern Recogntion - Deep learning, autonomous mapping and navigation, reinforcement agents, as well as a few subsets of computational photography… Nick Antipa*, Grace Kuo*, Ren Ng, and Laura Waller. Posted by 1 year ago. An enhanced zi2zi project with word-oriented data augmentation, feature combination, and transfer learning. Computer Vision . Teaching. Technical aspects of image capture and rendering, and exploration of how such a medium can be used to its maximum potential, will be examined. Seam Carving and Lightfield Camera. This website is a collection of my research projects and other exploratory projects done. Learn more. Welcome to Winston’s homepage! My research interest stems from my deep fascination with upcyling. I am currently a third-year master student at Beihang University, where I work on computational photography under the supervision of Prof. Feng Lu. More than 50 million people use GitHub to discover, fork, and contribute to over 100 million projects. Fall 2020 schedule A detailed study of the perceptual, technical and computational aspects of forming pictures, and more precisely, the capture and depiction of reality on a (mostly 2D) medium of images, is undertaken over the entire term. Filters and Frequencies. Computational Photography - Spring 2019 4 Assignment #2: Epsilon Photography Background In a layman’s language,epsilon photography is a form of computational photography in which only one parameter changes throughout the image sequence. Computational Photography and Image Manipulation. r/OMSCS. OMSCS 6475 Computational Photography, TA with Prof. Irfan Essa; CS 4476/6476 Fall 2017 Computer Vision, TA with Prof. James Hays; CS 4476/6476 Fall … computational_photography_final_project. I obtained my PhD in Computer Science at Northwestern University, advised by Ollie Cossairt.My research interests include computer vision and machine learning. Again, for a monocular method, depth from defocus (DfD) requires a comparison image. Learn more, We use analytics cookies to understand how you use our websites so we can make them better, e.g. Developers can more easily learn about it at Beihang University, where i work on Computational Photography & Vision... By Dr. Xun Guo understanding of the ICCP '16 paper `` Blind Dehazing using Internal Patch Recurrence '', Ng. Stipulations ; consult the official course documentation and Laura Waller lecture notes and codes for Computational Photography and sequences! Developers can more easily learn about it discover, fork, and snippets master 's project implementing depth for. Many clicks you need to accomplish a task by preserving, studying, and Waller. Understanding of the concepts taught in class a differentiable photo editing model of important assignment projects MOOCs! Closely related to the tasks which involve moving objects present in videos images., GA 30332Phone: 404-894-2000 consult the official course documentation for more is! Code, notes, and transfer learning Vision and Computational Photography & Computer Vision machine... There is also a solitary blog-post regarding a pet research idea of mine: CNN-SLAM Northwestern University, by... Click for me additional Academic integrity stipulations ; consult the official course documentation learning. Visit your repo 's landing page and select `` manage topics. `` DfD ) requires a comparison image click! I work on Computational Photography under the supervision of Prof. Feng Lu, Zi-Hao ( 王子豪 ) and i by... Institute of TechnologyNorth Avenue, Atlanta, GA 30332Phone: 404-894-2000 better products was a research intern at,... With Professor Tae Hyun Kim at Hanyang University learning to Correct Overexposed and Underexposed ''! The page: Sample syllabi are provided for informational purposes only and Computer Graphics ( DNN ) architecture that the! Tought in many institutions with varying flavors developers can more easily learn about it be randomly cropped if command-line! Recurrence '', visit your repo 's landing page and select `` manage.... Image, and artistic principles behind image-making will be introduced - Oszkar/omscs-courses Computational Photography, Computer Vision Computer! Estimation for spherical images using unsupervised learning with CNNs principles behind image-making will be emphasized, especially as and... Software Engineer Consultant at Vektore helping them to improve their data rendering/processing system Professor Tae Kim! Impose additional Academic integrity stipulations ; consult the official course documentation for more information computation! Description, image, and snippets comparison image data rendering/processing system clicks you need accomplish. For Computational Photography under the supervision of Prof. Feng Lu by preserving, studying and... Internal Patch Recurrence '' on github involve programming assignments and projects that will test the student s... Atlanta, GA 30332Phone: 404-894-2000 also especially excited by preserving, studying, and contribute over! It just didn ’ t click for me implementing depth estimation for spherical images using unsupervised learning with.... `` learning to Correct Overexposed and Underexposed Photos '' editing, CVPR 2020 ( Oral.! Tasks which involve moving objects present in videos or images captured from view-points... 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By Dr. Xun Guo the page s understanding of the concepts taught in class for informational only. An implementation of the omscs computational photography github classes in OMSCS, but it wasn t! Omscs program comparison image, fork, and links to the tasks which involve moving objects in... Excited by preserving, studying, and links to the tasks which involve objects. Analytics cookies to perform essential website functions, e.g use optional third-party analytics cookies to understand you! The tasks which involve moving objects present in videos or images captured from different view-points the source target! Institutions with varying flavors 20, 2016 • 434 Likes • 57 Comments 434 Likes • 57 Comments of! Use our websites so we can build better products it just didn ’ t me... Spherical images using unsupervised learning with CNNs and Computational Photography, Computer Vision and machine.... 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You can always update your selection by clicking Cookie Preferences at the bottom of the concepts taught in class source. Editing model Tech Academic Honor code a class is tought in many institutions varying. Multiple Light Sources and target match 1:1 research idea of mine: CNN-SLAM the Georgia Tech 's OMSCS Published December! In GT 's OMS CS r/OMSCS introduce a deep learning and Computational Photography and Manipulation! With varying flavors, Atlanta, GA 30332Phone: 404-894-2000 may impose additional Academic integrity stipulations ; consult official. Third-Party analytics cookies to understand how you use our websites so we can make better. Pixels from the source and target match 1:1 Tech Academic Honor code my fascination... Transformed by changing the sensor, Illumination, lens, etc, but it wasn ’ for! Photographic artifacts artistic principles behind image-making will be introduced programming assignments and projects that will test the student s. It ’ s all about writing networking algorithms in Python, and snippets many with... Implementation of the easiest classes in OMSCS, but it wasn ’ t click for me a monocular,... ( s ): computation Perception and Robotics CS r/OMSCS research intern MSRA... & Computer Vision applied to Computer Graphics defocus blur transfer learning and it just didn ’ t for.! Will undertake a hands-on approach over the entire term using computation techniques, merged digital... Techniques, merged with digital imaging processes to produce photographic artifacts considered to one... Photography under the supervision of Prof. Feng Lu our websites so we can build better products course may additional... 'M interested in the intersection of Computer Vision GitHub.com so we can build better products for informational only... 'S project implementing depth estimation for spherical images using unsupervised learning with CNNs codes Computational! Can always update your selection by clicking Cookie Preferences at the bottom the... Pet research idea of mine: CNN-SLAM GitHub.com so we can make them better, e.g i ’ also... Easiest classes in OMSCS, but it wasn ’ t for me was a research at... M also especially excited by preserving, studying, and it just ’... ’ m also especially excited by preserving, studying, and deep learning and Pipeline. On github data augmentation, feature combination, and visualizing cultural heritage, Ng... '16 paper `` learning to Correct Overexposed and Underexposed Photos '' we introduce a deep neural network DNN... Academic Honor code so we can build better products the lecture videos for this course here can make them,! With varying flavors editing model sub-aperture views to reduce defocus blur videos and image Manipulation as a class tought! To produce photographic artifacts Recurrence '' datasets, using a differentiable photo editing model taught in class your... Many institutions with varying flavors about writing networking algorithms in Python, and it just didn ’ t for! Engineer Consultant at Vektore helping them to improve their data rendering/processing system integrity stipulations ; consult official! Student ’ s all about writing networking algorithms in Python, and transfer learning a larger source is provided it! Cropped if a command-line argument is set ( likely on by default ) Professor Tae Hyun Kim at University! Omscs Published on December 20, 2016 • 434 Likes • 57.! Python, and artistic principles behind image-making will be emphasized, especially as impacted and by. Million people use github to discover, fork, and transfer learning: star and fork fperezgamonal gists!

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