Fengqiang Li. Computational Photography . You signed in with another tab or window. Reference code for the paper "Learning to Correct Overexposed and Underexposed Photos". My research includes Deep Learning applied to Computer Graphics, Computational Photography and Computer Vision. 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. 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. computational-photography This repo contains lecture notes and codes for Computational Photography course on Udacity. Computational Optical Sensing and Imaging. More than 50 million people use GitHub to discover, fork, and contribute to over 100 million projects. This course counts towards the following specialization(s): 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. Colorizing. Welcome! There is also a solitary blog-post regarding a pet research idea of mine: CNN-SLAM. Fall 2020 schedule A collection of important assignment projects from MOOCs completed on edX and Coursera. 1. 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. Students will undertake a hands-on approach over the entire term using computation techniques, merged with digital imaging processes to produce photographic artifacts. computational_photography_final_project. I am a Master student studying Computer Science at Northwestern University, IL, advised by Prof. Oliver Cossairt.I received my B.Eng. Soham Ghormade. 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. This iteration of the class makes use of material from the classes by James Tompkin, Ioannis Gkioulekas, Marc Pollefeys, and Alyosha Efros. 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. Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model. My research interest stems from my deep fascination with upcyling. Email / GitHub / Google Scholar / LinkedIn. Note: Sample syllabi are provided for informational purposes only. Nick Antipa*, Grace Kuo*, Ren Ng, and Laura Waller. Spring 2017 - CS6475 - Computational Photography. Web Application Waldo. 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 is considered to be one of the easiest classes in OMSCS, but it wasn’t for me. A place for discussion for people participating in GT's OMS CS The camera parameter could be aperture, exposure, focus, film speed or viewpoint. Code for TIP 2017 paper --- Illumination Decomposition for Photograph with Multiple Light Sources. Specifically, my research interest focused on low-level vision tasks including super-resolution, denoising, and … I obtained my PhD in Computer Science at Northwestern University, advised by Ollie Cossairt.My research interests include computer vision and machine learning. All Georgia Tech students are expected to uphold the Georgia Tech Academic Honor Code. Machine Learning . 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 … New forms of cameras and imaging paradigms will be introduced. Again, for a monocular method, depth from defocus (DfD) requires a comparison image. For the most up-to-date information, consult the official course documentation. Much of my research is about Deep Learning and Camera Pipeline. GitHub Gist: instantly share code, notes, and snippets. Computational Photography & Computer Vision Image Warping and Mosaicing. Student, Founder. Stackoverflow ... Git and github 101 Senthilkumar Gopal. My Ph.D. thesis was closely related to the tasks which involve moving objects present in videos or images captured from different view-points. "3D DiffuserCam: Single-Shot Compressive Lensless Imaging." Learn more. 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. computational-photography We introduce a deep neural network (DNN) architecture that uses the dual-pixel (DP) sub-aperture views to reduce defocus blur. The course will involve programming assignments and projects that will test the student’s understanding of the concepts taught in class. Grade: D; Advice against 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. Optical Society of America, 2017. I study computer vision, computational photography, and deep learning. Close. Teaching. User account menu. Reference code for the paper: Deep White-Balance Editing, CVPR 2020 (Oral). My goal is to pursue a PhD in the intersection of computer vision and computational photography, begining Fall 2020. My personal website. Create high resolution astrophotography with your smartphone. This course is the first in a two-part series that explores the emerging new field of Computational Photography. 1. We use optional third-party analytics cookies to understand how you use GitHub.com so we can build better products. It was a terrible idea. Personal portfolio powered by Jekyll and GitHub Pages . I am actively working with deep neural networks for videos and image sequences. I also work as Software Engineer Consultant at Vektore helping them to improve their data rendering/processing system. I am broadly interested in the interdisciplinary research of Computer Vision and Computer Graphics. You can view the lecture videos for this course here. they're used to gather information about the pages you visit and how many clicks you need to accomplish a task. I was a research intern at MSRA, supervised by Dr. Xun Guo. Specifically, I am interested in Vision and Language, 3D vision, Neural Rendering, Computational photography, Image & Video Understanding, AR/VR & Embodied AI. Blending two images photorealistically using graphcuts, Microshift Compression: An Efficient Image Compression Algorithm for Hardware. topic, visit your repo's landing page and select "manage topics.". Simple webapp to display the courses offered by Georgia Tech's OMSCS program. 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. r/OMSCS. More information is available on the CS 6475 course website. My research interests lie in Computer Vision, Deep Learning and Computational Photography. My experience with Georgia Tech's OMSCS Published on December 20, 2016 December 20, 2016 • 434 Likes • 57 Comments. topic page so that developers can more easily learn about it. Our method is a coarse-to-fine deep learning model to correct badly-exposed photographs. You can always update your selection by clicking Cookie Preferences at the bottom of the page. Technical aspects of image capture and rendering, and exploration of how such a medium can be used to its maximum potential, will be examined. 80 votes, 27 comments. I did my bachelors at Nanjing Agricultural University. 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. Github / LinkedIn / CV . Learn more, We use analytics cookies to understand how you use our websites so we can make them better, e.g. The quality of images is higher when the number of pixels from the source and target match 1:1. You can find more information on my resume. Application Integration . Class to Pair with Computational Photography. I dropped this one pretty early. It’s all about writing networking algorithms in Python, and it just didn’t click for me. Master's project implementing depth estimation for spherical images using unsupervised learning with CNNs. Robotics:AI Techniques . Instead of relying on triangulation based methods for obtaining depth, we can instead utilise depth from defocus. [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. 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. Computer Vision . they're used to log you in. Learn more. We use essential cookies to perform essential website functions, e.g. Over the span of the semester, students will learn: Fall 2020 syllabus We use optional third-party analytics cookies to understand how you use GitHub.com so we can build better products. Email / Google Scholar / Github Posted by 1 year ago. Fall 2019 syllabus (PDF) Hi there, My name is Wang, Zi-Hao (王子豪) and I go by Winston. Computer Science Online) Computational Photography (2019, Grade A) Knowledge Based Artificial Intelligence (2019, Grade A) Learning Break (AI, Entrepreneurship), March 2017 - Dec 2018. 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".