Stanford cs phd thesis

Stanford cs phd thesis

I am a Professor in the Department of Computer Science at the University of Texas at Austin, where I lead the UT-Austin Computer Vision Group. B.S., Turing Scholars Honors Thesis (). Now a PhD student at UC Berkeley. Saket Sadani, B.S., Turing Scholars Honors Thesis (). Ruohan Gao Ph.D. (). Now a postdoc at Stanford Prior to joining Stanford in , Prof. Wetzstein was a Research Scientist at MIT, he received a Ph.D. in Computer Science from the University of British Columbia in and graduated with Honors from the Bauhaus in Weimar, Germany before that. He is the recipient of an NSF CAREER Award, an Alfred P. Sloan Fellowship, an ACM SIGGRAPH Units for a given course may not be counted to meet the requirements of more than one degree, (with the exception that up to 45 units of a Stanford MA or MS degree may be applied to the residency requirement for the PhD, DMA or Engineer degrees ().For example, students who have already taken STATS and have counted it toward their undergraduate or another Master's

Gordon Wetzstein - Stanford University

Kristen Grauman. Professor Department of Computer Science University of Texas at Austin, stanford cs phd thesis. Kristen Grauman Professor Department of Computer Science University of Texas at Austin. CV Publications Code Data Bio Press I am a Professor in the Department of Computer Science at the University of Texas at Austin, where I lead the UT-Austin Computer Vision Group, stanford cs phd thesis.

I was elected to the Academy of Distinguished Teachers at UT Austin in I received my Ph. from MIT in the Computer Science and Artificial Intelligence Laboratory in ML UT : UT Austin has broad and deep expertise in machine learning and artificial intelligence, spanned by groups across several stanford cs phd thesis on campus.

Slides from some recent invited talks. NeurIPS HAMLETS workshop Dec and Stanford Vision Lab Stanford cs phd thesis "People Watching for Agent Learning" [ ppt ] NeurIPS Self-Supervised Learning - Theory and Practice workshopDec "Self-supervised Learning with Sight, Sound, and Space" [ ppt ] Google Research, Sept "Sights, Sounds, and Space: Audio-Visual Learning in 3D Environments" [ ppt ] Long-Term Visual Localization, Visual Odometry and Geometric and Learning-based SLAM Workshop, CVPRJune "Audio-Visual Navigation and Occupancy Anticipation" [ ppt ] [ pdf ] ACM International Web Search and Data Mining Conference WSDMFeb "Computer Vision for Fashion: From Individual Recommendations to World-wide Trends" [ ppt ] International Conference on Intelligent Robotics and Systems IROSNov "Embodied Visual Learning" [ ppt ] Speech and Audio in the NortheastColumbia University, Oct "Eyes and Ears: Learning to Disentangle Object Sounds in Unlabeled Video" [ ppt ] Other talks.

My research interests are in computer vision and machine learning. In general, the goal of computer vision is to develop the algorithms and representations that will allow a computer to autonomously analyze visual information. My primary interests are video, multimodal perception, embodied AI vision for robotics, perception for actionand visual recognition. Recent and ongoing projects in the group consider first-person "egocentric" computer vision, navigation and exploration in 3D spaces, audio-visual learning from video, activity recognition, affordance models from video, vision for fashion forecasting, styles, trends, stanford cs phd thesis, recommendation, attributesand video summarization.

Publications page with links to code, slides, and project pages. Or, sorted [ by year ] [ by topic ]. Code download page see per paper project pages for latest Datasets download page Student theses. Graduate Students, stanford cs phd thesis. Kimberly Wei-Lin Hsiao PhD expected Tushar Nagarajan Santhosh Ramakrishnan Priyanka Mandikal Changan Chen Sagnik Majumder. Visitors and Postdocs. Ziad Al-Halahpresent Devi Parikh Visiting Research Fellow, Now Associate Professor at Georgia Tech Lu Zheng Postdoctoral Research Fellow, Now Assistant Professor at City University of Hong Kong Boqing GongVisiting PhD student from Prof.

Fei Sha's lab at USC, stanford cs phd thesis, Assistant Professor at University of Central Florida. Now at Google Research Hao JiangVisiting Professor from Boston College, Antonino FurnariVisiting PhD student from Prof. Giovanni Maria Farinella's lab at Univ. of Catania, Ziad Al-HalahVisiting PhD student from Prof.

Stiefelhagen's lab at Karlsruhe Institute of Technology, Danna Gurari, Postdoctoral Research Fellow, Now Assistant Professor at UT Austin, School of Information. Graduated Students. Sudheendra Vijayanarasimhan Ph. Now at Google Research.

Yong Jae Lee Ph. Postdoctoral Associate at UC-Berkeley. Assistant Professor at UC-Davis and now Associate Professor at UW-Madison. Jeff DonahueB. student at UC-Berkeley. Now at DeepMind. Andy Luong, B. Now at Microsoft. Lucy Liang, B. Nona Sirakova, B, stanford cs phd thesis. Now at University of Washington. Tomas McCandless, B. Turing Scholars Honors Thesis Sunil BandlaM.

Jaechul Kim Ph. Now at Amazon Research. Sung Ju Hwang Ph. Now Assistant Professor at KAIST. Adriana KovashkaPh. Now Assistant Professor at University of Pittsburgh. Chao-Yeh ChenPh. Now at Google. Suyog JainPh. Now at PathAI.

Josh Kelle, M. Now at Pinterest. Steven ChenB. Now a Masters student at Stanford University. Evonne Ng, B. Now a PhD student at UC Berkeley. Saket Sadani, B. Andrew Li, B. Dinesh Jayaraman stanford cs phd thesis, Ph.

Samsung Ph. Fellowship Postdoc at UC-Berkeley. Now Assistant Professor at UPenn. Aron Yu Ph. Now at Home Depot AI. Bo Xiong Ph. Now at Facebook AI Research. Yu-Chuan Su, Ph. Google PhD Fellowship in Ruohan Gao Ph. Now stanford cs phd thesis postdoc at Stanford. Professional Service. grauman, at sign, cs dot utexas dot edu best way to contact me. Campus office:. GDC 4. Mailing address:. Department of Computer Science University of Texas at Austin Speedway D Austin, TX Campus mail:.

Mail code D Current Funding. Office of Naval Research National Science Foundation Amazon AWS Machine Learning Google Qualcomm IBM DARPA Lifelong Learning Machines. Note to prospective students. If you are a prospective student interested in computer vision research at UT-Austin, please read about our graduate admissions process. It is not necessary to contact me. Unfortunately, I am not able to respond to emails about applications to our graduate program.

If you are applying to the CS department and are interested in stanford cs phd thesis research group, please state this in your statement of purpose. I am not looking for interns or visiting students, with or without funding. Older talks.

PhD Application Tips that got me into Stanford, Berkeley, MIT etc COMPREHENSIVE

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Kristen Grauman

Professor of Electrical Engineering and Computer Science MIT CSAIL and EECS 32 Vassar St, Cambridge, MA Email: first and middle initials + my last name at blogger.com I was a professor at Stanford from I got a PhD from Carnegie Mellon under the marvelous Manuel Blum, and I was an undergrad at Cornell. For more, see my CV below Prerequisites: CS or CS B/X, CS B or CS X, CS , and CS (algorithms, probability, and object-oriented programming in Python). We highly recommend comfort with these concepts before taking the course, as we will be building on them with little review Together with Fei-Fei, I designed and was the primary instructor for a new Stanford class on Convolutional Neural Networks for Visual Recognition (CSn). The class was the first Deep Learning course offering at Stanford and has grown from enrolled in to students in , and students in