they're used to gather information about the pages you visit and how many clicks you need to accomplish a task. 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. This computer system is the property of the Georgia Institute of Technology. Face Morphing. 1 to 4) • Learning to navigate large cities … 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 . ... Join GitHub today. Add a description, image, and links to the computational-photography I am the recipient of the Alfred P. Sloan Fellowship and the NSF CAREER award. TERMS OF USE We conduct so far the most comprehensive study of perceptual quality assessment of smartphone pho-tography. Again, for a monocular method, depth from defocus (DfD) requires a comparison image. Optical Society of America, 2017. Computational Optical Sensing and Imaging. Learn more about the browsers we support. # 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 You can find more information on my resume. I also work as Software Engineer Consultant at Vektore helping them to improve their data rendering/processing system. 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. The camera parameter could be aperture, exposure, focus, film speed or viewpoint. Computational Optical Sensing and Imaging. I got out! 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. Our method is a coarse-to-fine deep learning model to correct badly-exposed photographs. Filters and Frequencies. My solutions for programming assignments for Computational Photography class on Coursera. Seam Carving and Lightfield Camera. By using this system, I acknowledge and consent to these terms. [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. This iteration of the class makes use of material from the classes by James Tompkin, Ioannis Gkioulekas, Marc Pollefeys, and Alyosha Efros. - Shekeen/Computational-Photography. My experience with Georgia Tech's OMSCS Published on December 20, 2016 December 20, 2016 • 434 Likes • 57 Comments 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. Email / Google Scholar / Github CampusWire—your first stop for questions and clarifications. Computational Photography . 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. computational photography modules has become a de facto standard in evaluating and ranking smartphones in the con-sumer market. Our method is a deep learning multi-task framework for white-balance editing. Before that, I did my Bachelors at National Institute of Technology, Karnataka (NITK). Soham Ghormade. topic page so that developers can more easily learn about it. To associate your repository with the Image Classification. The quality of images is higher when the number of pixels from the source and target match 1:1. ... Computational Photography (Essa, Georgia Tech) Computational Photography (Fergus, NYU) Computer Vision (Seitz, U of Washington) We introduce a deep neural network (DNN) architecture that uses the dual-pixel (DP) sub-aperture views to reduce defocus blur. Application Integration . Centergy One 75 5th St NW, 6th Floor, Suite 600 Atlanta, GA, 30308. Sign up. Renjie Wan. Blending two images photorealistically using graphcuts, Microshift Compression: An Efficient Image Compression Algorithm for Hardware. You can always update your selection by clicking Cookie Preferences at the bottom of the page. You signed in with another tab or window. 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". Optical Society of America, 2017. Future Video Synthesis with Object Motion Prediction Yue Wu, Rongrong Gao, Jaesik Park, Qifeng Chen CVPR, 2020 Paper / arXiv Code. 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]gmail.com Learn more, We use analytics cookies to understand how you use our websites so we can make them better, e.g. Create high resolution astrophotography with your smartphone. Computer Vision . We use optional third-party analytics cookies to understand how you use GitHub.com so we can build better products. You signed in with another tab or window. Web Application Waldo. GitHub no longer supports this web browser. 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 Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model. 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. texture synthesis We would like to show you a description here but the site won’t allow us. Technology Square Research Building (TSRB) 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. APAP-bias-correction-for-illumination-estimation-methods. GitHub is where people build software. An enhanced zi2zi project with word-oriented data augmentation, feature combination, and transfer learning. computational-photography Robotics:AI Techniques . 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. Research. GitHub is home to over 50 million developers working together to host and review code, manage projects, and build software together. Much of my research is about Deep Learning and Camera Pipeline. Personal portfolio powered by Jekyll and GitHub Pages . 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 Class to Pair with Computational Photography. Learn more. Computational Photography & Computer Vision Image Warping and Mosaicing. Email / GitHub / Google Scholar / LinkedIn. An implementation of the ICCP '16 paper "Blind Dehazing Using Internal Patch Recurrence". I did my bachelors at Nanjing Agricultural University. 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. Colorizing. Code for TIP 2017 paper --- Illumination Decomposition for Photograph with Multiple Light Sources. from Georgia Tech. I did my Masters in ECE with a specialization in Signal processing and Controls at Georgia Tech. More than 50 million people use GitHub to discover, fork, and contribute to over 100 million projects. I am interested in Image Processing, Computational Photography and Computer Vision. I was a research intern at MSRA, supervised by Dr. Xun Guo. Machine Learning . Undergraduate Students. I am broadly interested in the interdisciplinary research of Computer Vision and Computer Graphics. Computational Photography and Image Manipulation as a class is tought in many institutions with varying flavors. About Projects Resume Contact. CampusWire will be staffed at specific times, when a member of the team will be answering questions (existing and new). When a larger source is provided, it could be randomly cropped if a command-line argument is set (likely on by default). I work for a part of the National Major Project of Scientific Instrument, called Multi-dimensional and Multi-scale High-resolution Computational Photography Instrument. Reference github repository for the paper "Defocus Deblurring Using Dual-Pixel Data". I am currently a third-year master student at Beihang University, where I work on computational photography under the supervision of Prof. Feng Lu. topic, visit your repo's landing page and select "manage topics.". I started my research work in computational optics & computational imaging since I was a senior in Tsinghua University. We use optional third-party analytics cookies to understand how you use GitHub.com so we can build better products. 1. Reference code for the paper "Learning to Correct Overexposed and Underexposed Photos". 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. We introduce the Smartphone Photography At-tribute and Quality (SPAQ) database, consisting of 11,125 My research interest stems from my deep fascination with upcyling. Specifically, I am interested in Vision and Language, 3D vision, Neural Rendering, Computational photography, Image & Video Understanding, AR/VR & Embodied AI. 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 … The most recent code on github at 11:59pm on the due date is the code we will grade. Computational Photography. Learn more. 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_final_project. Unsupervised Deep Learning for Computational Photography and Imaging Self2Self: Self-Supervised Image Denoising Self2Self with dropout: Learning self-supervised denoising from … Nick Antipa*, Grace Kuo*, Ren Ng, and Laura Waller. Here's my GitHub. My research includes Deep Learning applied to Computer Graphics, Computational Photography and Computer Vision. GitHub Gist: instantly share code, notes, and snippets. For more information, see our Privacy Statement. Coda 756 West Peachtree Street NW, 14th Floor Atlanta, GA 30308. 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. I am actively working with deep neural networks for videos and image sequences. "3D DiffuserCam: Single-Shot Compressive Lensless Imaging." Narendra leverages his previous work in modelling intermolecular interactions to identifying targets and roles of important molecular players in genomes. We use essential cookies to perform essential website functions, e.g. I'm interested in computational photography, computer vision and machine learning. Wenqi Xian. 2. cs1290tas@lists.brown.edu—your s… I am now a computer vision engineer at Apple. Jianan Gao. Master's project implementing depth estimation for spherical images using unsupervised learning with CNNs. Both for the Georgia Tech’s Online MSCS program. My research interests lie in Computer Vision, Deep Learning and Computational Photography. small objects detection and tracking, vision theory. This repo contains lecture notes and codes for Computational Photography course on Udacity. My personal website. 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 … In fall 2015 fall term, I am teaching two classes. A collection of important assignment projects from MOOCs completed on edX and Coursera. Before joining Georgia Tech, I was the Manning Assistant Professor of Computer Science at Brown University. 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. 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 (http://b.gatech.edu/it-policies). they're used to log you in. I also enjoy hiking, photography, speed cubing and picking up random skills. Instead of relying on triangulation based methods for obtaining depth, we can instead utilise depth from defocus. At other times, please pull together as a class and help each other, and we'll help soon. Reference code for the paper: Deep White-Balance Editing, CVPR 2020 (Oral). 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. The most recent submission in Canvas at that point, is the one we grade.