Human-Computer Interaction. Computer vision coupled with sensors can work wonders for critical equipment. Another area that heavily relies on computer vision technologies is the security or video surveillance domain. The 3D Computer Vision group in the Department of Computer Science, led by Prof. Jan-Michael Frahm, conducts research in the areas of geometric computer vision … The goal of computer vision is to extract information from visual data and help computers understand the visual world. Networking research at UNC is centered on how to provide better or more efficient communication services by making sure that the components of distributed computers and networks all work together seamlessly. One of our primary research focuses is interactive graphics where the main challenges are the rapid generation of photorealistic images and high-quality simulation in response to user inputs, as well as the development of both software and hardware mechanisms for human interaction with graphical systems. Challenges arise because as mobile devices evolve toward fully functional computers with platforms like Android, they become targets for exploits that are now common for personal computers and potentially new exploits arising from the usage modes they enable. Other topics of focus include multi-task learning, reinforcement learning, and transfer learning. Themes in computer vision include active approaches for medical image analysis, face recognition, and image-based modeling and rendering. Our research has been recognized at major conferences such as CVPR, NeurIPS, and ICLR. We focus especially on applications in neuroscience, radiation oncology, and musculoskeletal diseases. The algorithms … Learn more > … This knowledge is used for additional research projects, such as the transformation of depth and scene data into three-dimensional renderings and the intelligent synthesis of labels for people, places and things into scene descriptions and […] The focus includes modeling the dynamic and transient scene objects to bring the models “alive”. We also work on structured, interpretable, and generalizable deep learning models. Computer vision is an interdisciplinary scientific field that deals with how computers can gain high-level understanding from digital images or videos.From the perspective of engineering, it seeks to understand and automate tasks that the human visual system can do.. Computer vision … The development and analysis of algorithms for a variety of settings and applications. Recognition is a very active research area right now. Our interests include clustering and subspace clustering in high dimensional data, matrix factorization, graph mining and classification, efficient methods for large scale statistical tests. To ensure that timing constraints are met, offline validation algorithms are required that check whether deadlines will be met at runtime. This includes research on both protecting the Internet infrastructure from attack and designing defenses within the context of network applications. Stanford Infolab. It is primarily intended for students who are interested in research in the area … Our effcient deep network architectures form the AI engine of the project Slow Down COVID-19 at Harvard. The goal of the research being done by the 3D Computer Vision group is to develop fully automated systems for accurate and rapid 3D reconstruction of urban environments from photo collections and videos. Research Areas Research Areas Our research group is working on a range of topics in Computer Vision and Image Processing, many of which are using Artifical Intelligence. Tasks include clothing and style recognition and are applied to clothing recognition and other e-commerce-related problems. If you are interested in any of these, do not hesitate to contact us - we are always happy to get back to those topics and do exciting research there! Our interests include computational geometry models for molecular structure, high performance computing for dynamic simulation, mining structure motifs for protein functional prediction, remote homology detection, protein-protein interaction, and protein-ligand interaction. Geometric methods like structure from motion and optical flow usually focus on … Computer or robot controller estimate its health and efficiency information from visual data and help computers understand the world... 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