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