User account menu. I am broadly interested in the interdisciplinary research of Computer Vision and Computer Graphics. Image Classification. Optical Society of America, 2017. Colorizing. Fall 2019 syllabus (PDF) A place for discussion for people participating in GT's OMS CS Computational Photography and Image Manipulation as a class is tought in many institutions with varying flavors. This repo contains lecture notes and codes for Computational Photography course on Udacity. My personal website. computational_photography_final_project. You can view the lecture videos for this course here. [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. Computational Optical Sensing and Imaging. Future Video Synthesis with Object Motion Prediction Yue Wu, Rongrong Gao, Jaesik Park, Qifeng Chen CVPR, 2020 Paper / arXiv Code. For the most up-to-date information, consult the official course documentation. 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. This website is a collection of my research projects and other exploratory projects done. Reference code for the paper: Deep White-Balance Editing, CVPR 2020 (Oral). Students will undertake a hands-on approach over the entire term using computation techniques, merged with digital imaging processes to produce photographic artifacts. 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. There is also a solitary blog-post regarding a pet research idea of mine: CNN-SLAM. 15.3k members in the OMSCS community. Instead of relying on triangulation based methods for obtaining depth, we can instead utilise depth from defocus. Application Integration . 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. This course may impose additional academic integrity stipulations; consult the official course documentation for more information. Robotics:AI Techniques . - Oszkar/omscs-courses Email / GitHub / Google Scholar / LinkedIn. topic, visit your repo's landing page and select "manage topics.". Fengqiang Li. Class to Pair with Computational Photography. 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. 1. Simple webapp to display the courses offered by Georgia Tech's OMSCS program. An enhanced zi2zi project with word-oriented data augmentation, feature combination, and transfer learning. 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". Computational Photography & Computer Vision Image Warping and Mosaicing. Seam Carving and Lightfield Camera. I dropped this one pretty early. I'm interested in computational photography, computer vision and machine learning. I did my bachelors at Nanjing Agricultural University. An implementation of the ICCP '16 paper "Blind Dehazing Using Internal Patch Recurrence". The scientific, perceptual, and artistic principles behind image-making will be emphasized, especially as impacted and changed by computation. 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. Student, OMSCS (MSc. The course will involve programming assignments and projects that will test the student’s understanding of the concepts taught in class. My experience with Georgia Tech's OMSCS Published on December 20, 2016 December 20, 2016 • 434 Likes • 57 Comments. Computation Perception and Robotics. My research includes Deep Learning applied to Computer Graphics, Computational Photography and Computer Vision. Fall 2019 schedule (PDF). Class to Pair with Computational Photography. they're used to gather information about the pages you visit and how many clicks you need to accomplish a task. I obtained my PhD in Computer Science at Northwestern University, advised by Ollie Cossairt.My research interests include computer vision and machine learning. How the traditional camera pipeline can be transformed by changing the sensor, illumination, lens, etc. This is considered to be one of the easiest classes in OMSCS, but it wasn’t for me. Teaching. Stackoverflow ... Git and github 101 Senthilkumar Gopal. 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. topic page so that developers can more easily learn about it. Technical aspects of image capture and rendering, and exploration of how such a medium can be used to its maximum potential, will be examined. 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. It was a terrible idea. Learn more. My research interest stems from my deep fascination with upcyling. Computational Photography and Image Manipulation. My research interests lie in Computer Vision, Deep Learning and Computational Photography. Georgia Institute of TechnologyNorth Avenue, Atlanta, GA 30332Phone: 404-894-2000. Data and Visual Analytics and Computational Photography. they're used to log you in. Soham Ghormade. I am a Master student studying Computer Science at Northwestern University, IL, advised by Prof. Oliver Cossairt.I received my B.Eng. About Projects Resume Contact. 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. This course is the first in a two-part series that explores the emerging new field of Computational Photography. 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. Welcome! I am interested in Image Processing, Computational Photography and Computer Vision. We introduce a deep neural network (DNN) architecture that uses the dual-pixel (DP) sub-aperture views to reduce defocus blur. Create high resolution astrophotography with your smartphone. New forms of cameras and imaging paradigms will be introduced. GitHub Gist: instantly share code, notes, and snippets. Nick Antipa*, Grace Kuo*, Ren Ng, and Laura Waller. You can find more information on my resume. Learn more, We use analytics cookies to understand how you use our websites so we can make them better, e.g. All Georgia Tech students are expected to uphold the Georgia Tech Academic Honor Code. My Ph.D. thesis was closely related to the tasks which involve moving objects present in videos or images captured from different view-points. Grade: D; Advice against Close. Note: Sample syllabi are provided for informational purposes only. I am actively working with deep neural networks for videos and image sequences. 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 … Computer Vision . Our method is a coarse-to-fine deep learning model to correct badly-exposed photographs. log in sign up. The quality of images is higher when the number of pixels from the source and target match 1:1. Reference github repository for the paper "Defocus Deblurring Using Dual-Pixel Data". More than 50 million people use GitHub to discover, fork, and contribute to over 100 million projects. Computer Science Online) Computational Photography (2019, Grade A) Knowledge Based Artificial Intelligence (2019, Grade A) Learning Break (AI, Entrepreneurship), March 2017 - Dec 2018. 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. You can always update your selection by clicking Cookie Preferences at the bottom of the page. You signed in with another tab or window. I am currently a third-year master student at Beihang University, where I work on computational photography under the supervision of Prof. Feng Lu. Optical Society of America, 2017. Posted by 1 year ago. For more information, see our Privacy Statement. r/OMSCS. When a larger source is provided, it could be randomly cropped if a command-line argument is set (likely on by default). Specifically, I am interested in Vision and Language, 3D vision, Neural Rendering, Computational photography, Image & Video Understanding, AR/VR & Embodied AI. It’s all about writing networking algorithms in Python, and it just didn’t click for me. This course counts towards the following specialization(s): I also work as Software Engineer Consultant at Vektore helping them to improve their data rendering/processing system. Again, for a monocular method, depth from defocus (DfD) requires a comparison image. Fall 2020 schedule 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. APAP-bias-correction-for-illumination-estimation-methods. Student, Founder. 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. 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. Filters and Frequencies. We use optional third-party analytics cookies to understand how you use so we can build better products. Unsupervised Deep Learning for Computational Photography and Imaging Self2Self: Self-Supervised Image Denoising Self2Self with dropout: Learning self-supervised denoising from … I'm a M.S. Blending two images photorealistically using graphcuts, Microshift Compression: An Efficient Image Compression Algorithm for Hardware. Computational Photography . Machine Learning . This iteration of the class makes use of material from the classes by James Tompkin, Ioannis Gkioulekas, Marc Pollefeys, and Alyosha Efros. I’m also especially excited by preserving, studying, and visualizing cultural heritage. "3D DiffuserCam: Single-Shot Compressive Lensless Imaging." The camera parameter could be aperture, exposure, focus, film speed or viewpoint. Learn more. Research. Code for TIP 2017 paper --- Illumination Decomposition for Photograph with Multiple Light Sources. 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. Computational Optical Sensing and Imaging. Personal portfolio powered by Jekyll and GitHub Pages . Spring 2017 - CS6475 - Computational Photography. I was a research intern at MSRA, supervised by Dr. Xun Guo. Specifically, my research interest focused on low-level vision tasks including super-resolution, denoising, and … 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. 1. Add a description, image, and links to the 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. Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model. A collection of important assignment projects from MOOCs completed on edX and Coursera. Our method is a deep learning multi-task framework for white-balance editing. Here's my GitHub. 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. We use optional third-party analytics cookies to understand how you use so we can build better products. Welcome to Winston’s homepage! GitHub Gist: star and fork fperezgamonal's gists by creating an account on GitHub. 80 votes, 27 comments. We use essential cookies to perform essential website functions, e.g. 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… Reference code for the paper "Learning to Correct Overexposed and Underexposed Photos". Web Application Waldo. 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. I study computer vision, computational photography, and deep learning. Face Morphing. Github / LinkedIn / CV . Over the span of the semester, students will learn: Fall 2020 syllabus Email / Google Scholar / Github Archived. Much of my research is about Deep Learning and Camera Pipeline. More information is available on the CS 6475 course website. Master's project implementing depth estimation for spherical images using unsupervised learning with CNNs. GitHub is where people build software. 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. Hi there, My name is Wang, Zi-Hao (王子豪) and I go by Winston. Due date: Tuesday, December 10, by midnight To associate your repository with the student working with Professor Tae Hyun Kim at Hanyang University. computational-photography My goal is to pursue a PhD in the intersection of computer vision and computational photography, begining Fall 2020. computational-photography