Leonid Keselman

                  I am a PhD student at the Robotics Institute, part of the School of Computer Science at Carnegie Mellon University, where I work on 3D computer vision. My PhD advisor is Martial Hebert.

                  From 2011 to 2017, I worked at Intel, as part of Intel RealSense. I primarily designed computer vision algorithms for efficient hardware ASICs, including the Intel RealSense R200 and 旋风加速器.apk RGB-D sensors. Additionally, I worked on software APIs, active illumination systems, human-computer interaction devices, and helped develop demos for trade shows, including CES 2012-2016.

                  I have an MS in Computer Science (AI focus) from Stanford University, where I was a research assistant for Silvio Savarese and a teaching assistant for Fei-Fei Li (CS131 & CS231N). I have a BS in EECS from UC Berkeley, where I worked in 旋风加速器app官网 lab.

                  Email  /  旋风加速器官网下载  /  Google Scholar  /  LinkedIn

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                  I'm interested in computer vision, machine learning, optimization, graphics and robotics.

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                  Leonid Keselman
                  ACM/IEEE Joint Conference on Digital Libraries, 2019
                  arxiv / code / slides /

                  A bibliometric/scientometric project. Our main two results are a method of assigning value to all venues in computer science and a method to organize them into distinct subfields, all without using citation data. The resulting venue scores can be used to rank universities’ by scholarly output, and produce a responsive author-level metric.

                  project image

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                  旋风加速器专业版官网, Martial Hebert
                  Computer and Robot Vision Conference, 2019
                  arxiv / code / slides /

                  A formulation for fitting Gaussian Mixture Models (GMMs) directly to geometric objects, such as a triangular mesh. This method produces more robust results and produces an improvement in 3D registration for both meshes and RGB-D frames.

                  project image

                  旋风加速器ios下载二维码


                  Leonid Keselman, John Iselin Woodfill, Anders Grunnet-Jepsen, Achintya Bhowmik
                  旋风跑跑ios版下载_旋风跑跑官网ios版 v2.2.8-嗨客手机站:2021-12-31 · 旋风跑跑官网ios版是一款韩国非常火爆的跑酷游戏,这款中文版是特别为中国玩家定制的哦,游戏除保留了原作靓丽、可爱、细腻的画面外,中国版中大量加入了本地化元素:巍峨雄伟的万里长城、能力无敌的超级麒麟、憨态可掬的国宝熊猫等等,更有神秘角色等待玩家来一一探索。, 2017
                  arxiv /

                  Technical and design details of the Intel RealSense R200 and D400 series

                  project image

                  Rigid-body Dynamics for Articulated Mesh Tracking


                  Leonid Keselman, Sterling Orsten, Stan Melax
                  CVPR Workshops (HANDS), 2015
                  slides /

                  An invited talk for the 旋风加速器xf5app workshop at CVPR 2015. This includes further details about the efficiency of our rigid-body solver, our machine-learning tools, and some details about our data annotation process.

                  project image

                  Dynamics Based Hand Tracking


                  Stan Melax, Leonid Keselman, Sterling Orsten
                  Graphics Interfaces, 2013
                  arxiv / code /

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                  Dynamics Based Hand Tracking


                  Stan Melax, Leonid Keselman, Sterling Orsten
                  ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, 2013
                  旋风加速器app官网 /

                  A tracking algorithm that was real-time on a consumer laptop. Won Best Poster Award.




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                  project image

                  Intel RealSense 400


                  Intel
                  2016-08-15

                  My responsibilities included system performance, components of the stereo algorithm on the imaging ASIC, and contributions to the design of laser projector pattern.

                  project image

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                  Intel
                  2016-06-27
                  patent / patent #2 / patent #3 /

                  A low-cost dense, configurable projector system for RGB-D depth sensors.

                  project image

                  Depth Image Enhancement


                  Intel
                  2015-08-06
                  patent /

                  Algorithms to filter, enhance and clean-up RGB-D data streams.

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                  Real-time Box Measurement


                  Intel
                  2015-04-08
                  旋风加速官网 / video #2 /

                  Using a single depth sensor, real-time detection of cuboids, accurate estimation of their dimensions, and even some bin-packing.

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                  旋风加速器.apk
                  2013-06-07
                  旋风ios / patent #2 /

                  Finger tracking on a microcontroller, with optics tricks and some HCI ideas

                  project image

                  Stereoscopic depth reconstruction with probabilistic pixel correspondence search


                  Intel
                  2012-07-24
                  patent /

                  A fast method for performing stereo depth maps.




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                  These include coursework, side projects and unpublished research work.

                  project image

                  Dice Stacking: A Dynamic Manipulation Task


                  CMU 16-741 Mechanics of Manipulation
                  2018-12-05
                  paper / video / code /

                  With Hunter Goforth, we designed a manipulation task and solved it with imitation learning.

                  project image

                  Introspective Neural Networks


                  CMU 16-824: Visual Learning and Recognition
                  2018-05-15
                  paper /

                  Using pre-trained neural networks to improve fine grained recognition via style transfer.

                  project image

                  旋风ios


                  CMU 16-745: Dynamic Optimization
                  2018-05-05
                  paper /

                  Using a very simple algorithm to solve some very simple environments

                  project image

                  Optimizing for Physical Simulation


                  CMU 16-745: Dynamic Optimization
                  2018-03-22
                  code /

                  With Chris Atkeson and Alex Spitzer. Using optimizers to match an observed trajectory.

                  project image

                  旋风加速官网


                  Stanford CS225A: Experimental Robotics
                  2017-06-12
                  paper / video / video #2 /

                  Making a 6-DoF PUMA arm solve a maze with real-time vision and tracking.

                  project image

                  荒野乱斗安卓版国际服在哪下?IOS国际服在哪下?_搜一搜 ...:今天 · 荒野乱斗国服在6月9日正式上线,热度非凡,不少小伙伴在体验完国服后还不满足,想要入坑国际服去和全世界玩家激情对战。我们就为想要安装国际服却无从下手的玩家们准备了详细的入坑攻略,解决荒野乱斗国际服在哪下的问题。搜一搜手游网为您提供最新,最全,热门手游攻略资讯!


                  Stanford CS234: Deep Reinforcement Learning
                  2017-06-10

                  Work with Aaron Goodman on used reinforcement learning to discover implicit collusion strategies in the context of an iterated prisoner’s dilemma.

                  project image

                  Computational models for text summarization


                  Stanford CS224N: Natural Language Processing
                  2017-03-18
                  paper / 旋风加速器ios下载二维码 / code / poster /

                  Work with Ludwig Schubert on simplified encoders stages for text summarization.

                  project image

                  Superresolution Micrscopy


                  Stanford CS371: Computational Biology in Four Dimensions
                  2017-03-16
                  code / slides /

                  An implementation of Faster STORM using compressed sensing.

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                  Stanford CS270: Modeling Biomedical Systems
                  2017-03-15
                  paper / poster /

                  Using the Yelp dataset of reviews to model the semantics and relationships between cuisines, businesses and other properties useful for restaurant recommendations.

                  project image

                  旋风ios


                  Stanford CS224W: Social and Information Network Analysis
                  2016-12-07
                  paper /

                  Using graph models, we track the development of financial networks over the 20th century.

                  project image

                  Gradient-learned Models for Stereo Matching


                  Stanford CS231A: Computer Vision, From 3D Reconstruction to Recognition
                  2016-06-07
                  paper / code /

                  Some re-implementations of standard stereo correspondence algorithms, along with experiments using classification for stereo matching.

                  project image

                  Multimodal Natural Language Inference


                  Stanford CS224U: Natural Language Understanding
                  2016-06-06
                  paper / video /

                  We explored how natural language inference tasks can be augmented with visual data.

                  旋风加速器专业版官网

                  CNNs for 3D Model Classification


                  Stanford CS231n: Convolutional Neural Networks for Visual Recognition
                  2016-03-08
                  paper / poster /

                  3D shape classification by learning an embedding function into a 2D image and using a pre-trained ImageNet network. At the time, got state-of-the-art results for single-view classification on ShapeNet40.

                  project image

                  Wide-angle Stereo Lenses


                  Stanford CS448I: Computational Imaging and Display
                  2016-03-07
                  paper / poster /

                  We introduce various projection functions in the analysis of stereoscopic depth sensors.

                  project image

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                  Stanford CS221: Artificial Intelligence
                  2015-12-12
                  website / paper / code / poster /

                  Detecting disease from a short description of symptoms. In some small testing, obtained nearly 90% top 5 accuracy and about 60% top 1 accuracy

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                  Level-set based tracking and segmentation


                  Stanford CS279: Structure and Organization of Biomolecules and Cells
                  2015-12-04
                  paper / 旋风加速官网下载ios /

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                  Other
                  2015-04-22
                  code /

                  An O(1) time algorithm for producing smooth normals for quantized data, such as the Kinect.

                  project image

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                  Other
                  2011-07-21

                  Work with Ankur Mehta, built a demonstration platform that used wireless low-weight, low-cost sensor platforms to monitor a golf swing.

                  project image

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                  UC Berkeley EE149: Embedded Systems
                  2011-07-21

                  With Humphrey Hu, Ryan Julian, and Eric Yuan, a project to show the efficacy of multiple-robot collaborative state estimation. Using Wiimote cameras, mobile robot platforms, and real-time wireless communication.

                  project image

                  GINA: Low power design


                  UC Berkeley
                  2010-08-21

                  For testing and validating the functionality of the GINA (Guidance and Inertial NAvigation) mote, a 1.6 gram sensor platform.

                  project image

                  GINA: Wireless sensor platform


                  UC Berkeley
                  2010-06-22

                  I helped Anita Flynn and Thomas Watteyne build these small sensors and wrote firmware.


                  Design and source code from Jon Barron's website