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.
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旋风加速器官网下载 /
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蚂永破解-旋风加速度器
I'm interested in computer vision, machine learning, optimization, graphics and robotics.
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蚂永破解-旋风加速度器
Leonid Keselman
ACM/IEEE Joint Conference on Digital Libraries, 2024
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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.
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蚂永破解-旋风加速度器
旋风加速器专业版官网, Martial Hebert
Computer and Robot Vision Conference, 2024
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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.
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蚂永破解-旋风加速度器
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
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Technical and design details of the Intel RealSense R200 and D400 series
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蚂永破解-旋风加速度器
Leonid Keselman, Sterling Orsten, Stan Melax
CVPR Workshops (HANDS), 2015
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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.
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蚂永破解-旋风加速度器
Stan Melax, Leonid Keselman, Sterling Orsten
Graphics Interfaces, 2013
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蚂永破解-旋风加速度器
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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蚂永破解-旋风加速度器
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蚂永破解-旋风加速度器
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.
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旋风加速官网
Intel
2016-06-27
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A low-cost dense, configurable projector system for RGB-D depth sensors.
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Depth Image Enhancement
Intel
2015-08-06
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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 /
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Using a single depth sensor, real-time detection of cuboids, accurate estimation of their dimensions, and even some bin-packing.
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旋风加速官网
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
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Stereoscopic depth reconstruction with probabilistic pixel correspondence search
Intel
2012-07-24
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A fast method for performing stereo depth maps.
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蚂永破解-旋风加速度器
These include coursework, side projects and unpublished research work.
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Dice Stacking: A Dynamic Manipulation Task
CMU 16-741 Mechanics of Manipulation
2018-12-05
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With Hunter Goforth, we designed a manipulation task and solved it with imitation learning.
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Introspective Neural Networks
CMU 16-824: Visual Learning and Recognition
2018-05-15
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Using pre-trained neural networks to improve fine grained recognition via style transfer.
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旋风ios
CMU 16-745: Dynamic Optimization
2018-05-05
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Using a very simple algorithm to solve some very simple environments
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Optimizing for Physical Simulation
CMU 16-745: Dynamic Optimization
2018-03-22
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With Chris Atkeson and Alex Spitzer. Using optimizers to match an observed trajectory.
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旋风加速官网
Stanford CS225A: Experimental Robotics
2017-06-12
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Making a 6-DoF PUMA arm solve a maze with real-time vision and tracking.
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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。我伔就为想要安装国际服却无从下手的玩家伔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.
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Computational models for text summarization
Stanford CS224N: Natural Language Processing
2017-03-18
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旋风加速器ios下载二维码 /
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Work with Ludwig Schubert on simplified encoders stages for text summarization.
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Superresolution Micrscopy
Stanford CS371: Computational Biology in Four Dimensions
2017-03-16
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An implementation of Faster STORM using compressed sensing.
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旋风ios
Stanford CS270: Modeling Biomedical Systems
2017-03-15
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Using the Yelp dataset of reviews to model the semantics and relationships between cuisines, businesses and other properties useful for restaurant recommendations.
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旋风ios
Stanford CS224W: Social and Information Network Analysis
2016-12-07
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Using graph models, we track the development of financial networks over the 20th century.
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Gradient-learned Models for Stereo Matching
Stanford CS231A: Computer Vision, From 3D Reconstruction to Recognition
2016-06-07
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Some re-implementations of standard stereo correspondence algorithms, along with experiments using classification for stereo matching.
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Multimodal Natural Language Inference
Stanford CS224U: Natural Language Understanding
2016-06-06
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We explored how natural language inference tasks can be augmented with visual data.
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CNNs for 3D Model Classification
Stanford CS231n: Convolutional Neural Networks for Visual Recognition
2016-03-08
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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.
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Wide-angle Stereo Lenses
Stanford CS448I: Computational Imaging and Display
2016-03-07
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We introduce various projection functions in the analysis of stereoscopic depth sensors.
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旋风加速器app官网
Stanford CS221: Artificial Intelligence
2015-12-12
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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
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旋风加速官网下载ios /
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旋风加速器.apk
Other
2015-04-22
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An O(1) time algorithm for producing smooth normals for quantized data, such as the Kinect.
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旋风专业版ios
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.
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【qq旋风下载 官方版】QQ旋风 4.8-ZOL软件下载:2021-4-1 · QQ旋风4.3 (745)(2021.4.2) 离线下载升级为极速下载,速度更快,可加速下载文件更大 离线下载空间升级为旋风空间,10倍扩容,开通会员即可获得100G空间 修复了极速下载试用后,部分文件速度下降的问题 修复了部分崩溃问题 QQ旋风4.2 (739)(2021.1.4) 更新
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.
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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.
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GINA: Wireless sensor platform
UC Berkeley
2010-06-22
I helped Anita Flynn and Thomas Watteyne build these small sensors and wrote firmware.
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Design and source code from Jon Barron's website
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