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