ATTENTION: When you are finished using all of your authenticated applications, please log out of this system and exit your browser to ensure you do not leave any of your applications (such as your e-mail) open to other users of this machine. Reference code for the paper: Deep White-Balance Editing, CVPR 2020 (Oral). I am now a computer vision engineer at Apple. You signed in with another tab or window. Optical Society of America, 2017. GitHub is where people build software. # Computational Photography (ICCP), 2014 IEEE International Conference on # # hL and hH are the one dimenionsal filters designed by our optimization # bL and bH are the corresponding Chebysheve polynomials # t is the 3x3 McClellan transform matrix # directL and directH are the direct forms of the 2d filters Users should have no expectation of privacy, as any and all files on this system may be intercepted, monitored, recorded, copied, inspected, and/or disclosed to authorized personnel in order to meet Institute obligations. When a larger source is provided, it could be randomly cropped if a command-line argument is set (likely on by default). I did my Masters in ECE with a specialization in Signal processing and Controls at Georgia Tech. Computational Optical Sensing and Imaging. Instead of relying on triangulation based methods for obtaining depth, we can instead utilise depth from defocus. Learn more. An enhanced zi2zi project with word-oriented data augmentation, feature combination, and transfer learning. Nick Antipa*, Grace Kuo*, Ren Ng, and Laura Waller. 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 . GitHub no longer supports this web browser. Unsupervised Deep Learning for Computational Photography and Imaging Self2Self: Self-Supervised Image Denoising Self2Self with dropout: Learning self-supervised denoising from … Computational Photography. CampusWire—your first stop for questions and clarifications. You can always update your selection by clicking Cookie Preferences at the bottom of the page. 1. Class to Pair with Computational Photography. My research interests lie in Computer Vision, Deep Learning and Computational Photography. 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. Learn more, We use analytics cookies to understand how you use our websites so we can make them better, e.g. they're used to gather information about the pages you visit and how many clicks you need to accomplish a task. topic, visit your repo's landing page and select "manage topics.". More than 50 million people use GitHub to discover, fork, and contribute to over 100 million projects. I did my bachelors at Nanjing Agricultural University. Web Application Waldo. To associate your repository with the Coda 756 West Peachtree Street NW, 14th Floor Atlanta, GA 30308. ... Computational Photography (Essa, Georgia Tech) Computational Photography (Fergus, NYU) Computer Vision (Seitz, U of Washington) I am interested in Image Processing, Computational Photography and Computer Vision. For more information, see our Privacy Statement. from Georgia Tech. Computational Photography . I started my research work in computational optics & computational imaging since I was a senior in Tsinghua University. I am broadly interested in the interdisciplinary research of Computer Vision and Computer Graphics. Reference code for the paper "Learning to Correct Overexposed and Underexposed Photos". computational photography modules has become a de facto standard in evaluating and ranking smartphones in the con-sumer market. Jianan Gao. Before joining Georgia Tech, I was the Manning Assistant Professor of Computer Science at Brown University. I am actively working with deep neural networks for videos and image sequences. I am the recipient of the Alfred P. Sloan Fellowship and the NSF CAREER award. "3D DiffuserCam: Single-Shot Compressive Lensless Imaging." 2.—your s… 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. Specifically, I am interested in Vision and Language, 3D vision, Neural Rendering, Computational photography, Image & Video Understanding, AR/VR & Embodied AI. Our method is a deep learning multi-task framework for white-balance editing. By using this system, I acknowledge and consent to these terms. 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 2016 Computer Vision , TA with Prof. James Hays I am a research fellow in the Rapid-Rich Object Search Lab of Nanyang Technological University.Before than, I obtained my Ph.D. degree from NTU in 2019 supervised by Prof. Alex C. Kot, Prof. Tan Ah Hwee, and Prof. Boxin Shi and my bachelor degree from the University of Electronic Science and Technology of China in 2012.. wanpeoplejie[at] This repo contains lecture notes and codes for Computational Photography course on Udacity. ... Join GitHub today. Wenqi Xian. Computational Photography 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. Our method is a coarse-to-fine deep learning model to correct badly-exposed photographs. Research. I'm interested in computational photography, computer vision and machine learning. 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. Renjie Wan. He is interested in developing new computational tools in bioinformatics and computational biology, and has years of experience in programming in Perl, Python and R. I was a research intern at MSRA, supervised by Dr. Xun Guo. Seam Carving and Lightfield Camera. Institute for Robotics and Intelligent Machines, Georgia Tech Fall 2014 - Spring 2020 Graduate Research Assistant • Understanding functional grasps of household objects, focusing on hand-object contact and hand pose (Pubs. Narendra leverages his previous work in modelling intermolecular interactions to identifying targets and roles of important molecular players in genomes. [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. We use optional third-party analytics cookies to understand how you use so we can build better products. We conduct so far the most comprehensive study of perceptual quality assessment of smartphone pho-tography. Application Integration . This iteration of the class makes use of material from the classes by James Tompkin, Ioannis Gkioulekas, Marc Pollefeys, and Alyosha Efros. We introduce the Smartphone Photography At-tribute and Quality (SPAQ) database, consisting of 11,125 Colorizing. The most recent submission in Canvas at that point, is the one we grade. Filters and Frequencies. they're used to log you in. Reference github repository for the paper "Defocus Deblurring Using Dual-Pixel Data". However, utilising a technique from computational photography called coded aperture, we can obtain absolute depth using just a single image.The idea in coded aperture is similar … texture synthesis This was the portfolio of discoveries, analysis and challenges performed during the course of CS 6475 Computational Photography as part of GA Tech Masters prog… Slideshare uses cookies to improve functionality and performance, and to provide you with relevant advertising. GitHub is home to over 50 million developers working together to host and review code, manage projects, and build software together. Learn more about the browsers we support. Optical Society of America, 2017. Before that, I did my Bachelors at National Institute of Technology, Karnataka (NITK). Computational Photography and Image Manipulation as a class is tought in many institutions with varying flavors. Blending two images photorealistically using graphcuts, Microshift Compression: An Efficient Image Compression Algorithm for Hardware. The most recent code on github at 11:59pm on the due date is the code we will grade. Much of my research is about Deep Learning and Camera Pipeline. Future Video Synthesis with Object Motion Prediction Yue Wu, Rongrong Gao, Jaesik Park, Qifeng Chen CVPR, 2020 Paper / arXiv Code. TERMS OF USE I also enjoy hiking, photography, speed cubing and picking up random skills. At other times, please pull together as a class and help each other, and we'll help soon. About Projects Resume Contact. I work for a part of the National Major Project of Scientific Instrument, called Multi-dimensional and Multi-scale High-resolution Computational Photography Instrument. Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model. Email / Google Scholar / Github I am currently a third-year master student at Beihang University, where I work on computational photography under the supervision of Prof. Feng Lu. Learn more. topic page so that developers can more easily learn about it. Robotics:AI Techniques . Master's project implementing depth estimation for spherical images using unsupervised learning with CNNs. Computational Photography & Computer Vision Image Warping and Mosaicing. 1 to 4) • Learning to navigate large cities … My personal website. Add a description, image, and links to the Again, for a monocular method, depth from defocus (DfD) requires a comparison image. We would like to show you a description here but the site won’t allow us. APAP-bias-correction-for-illumination-estimation-methods. My Ph.D. thesis was closely related to the tasks which involve moving objects present in videos or images captured from different view-points. Any user of this system must comply with all Institute and Board of Regents policies, including the Acceptable Use Policy, Cyber Security Policy and Data Privacy Policy ( 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". Email / GitHub / Google Scholar / LinkedIn. Both for the Georgia Tech’s Online MSCS program. My experience with Georgia Tech's OMSCS Published on December 20, 2016 December 20, 2016 • 434 Likes • 57 Comments We introduce a deep neural network (DNN) architecture that uses the dual-pixel (DP) sub-aperture views to reduce defocus blur. Carleton University, Canada’s capital university is situated on a beautiful campus bordered by the sparkling Rideau River and Canal, Carleton is just minutes from the heart of o Face Morphing. 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. An implementation of the ICCP '16 paper "Blind Dehazing Using Internal Patch Recurrence". Technology Square Research Building (TSRB) The camera parameter could be aperture, exposure, focus, film speed or viewpoint. Personal portfolio powered by Jekyll and GitHub Pages . My research includes Deep Learning applied to Computer Graphics, Computational Photography and Computer Vision. Create high resolution astrophotography with your smartphone. I also work as Software Engineer Consultant at Vektore helping them to improve their data rendering/processing system. computational_photography_final_project. Here's my GitHub. 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. We use essential cookies to perform essential website functions, e.g. computational-photography Undergraduate Students. Computational Optical Sensing and Imaging. GitHub Gist: instantly share code, notes, and snippets. My solutions for programming assignments for Computational Photography class on Coursera. 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. - Shekeen/Computational-Photography. A collection of important assignment projects from MOOCs completed on edX and Coursera. In this course, I executed a series of coding projects in Python and leveraging the NumPy and OpenCV libraries to handle operations on pixel arrays. CampusWire will be staffed at specific times, when a member of the team will be answering questions (existing and new). In fall 2015 fall term, I am teaching two classes. Centergy One 75 5th St NW, 6th Floor, Suite 600 Atlanta, GA, 30308. Code for TIP 2017 paper --- Illumination Decomposition for Photograph with Multiple Light Sources. small objects detection and tracking, vision theory. Soham Ghormade. This computer system is the property of the Georgia Institute of Technology. Sign up. Image Classification. You signed in with another tab or window. I was a postdoc at MIT with Antonio Torralba, completed my Ph.D. at Carnegie Mellon University with Alexei Efros, and received my B.S. CS 6475: Computational Photography CS 6476: Computer Vision (This class was originally developed and offered by Aaron Bobick, but as he is now a Dean at Washington University, St. Louis, I … My research interest stems from my deep fascination with upcyling. We use optional third-party analytics cookies to understand how you use so we can build better products. computational-photography I got out! Machine Learning .