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Research Departments Computer Vision and Machine Learning Research People Detection, Pose Estimation and Tracking People Detection and Tracking People Detection and Tracking Finding and following people is [...] S. Roth and B. Schiele, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), (2009) [2] People-Tracking-by-Detection and People-Detection-by-Tracking , M. Andriluka, S. Roth and B. Schiele [...] Conference on Computer Vision and Pattern Recognition (CVPR'08), (2008) [3] Monocular 3D Pose Estimation and Tracking by Detection , M. Andriluka, S. Roth and B. Schiele, IEEE Conference on Computer Vision and

L. Pishchulin, M. Andriluka, P. Gehler and B. Schiele, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June, (2013) [2] Strong Appearance and Expressive Spatial Models for Human Pose [...] Research Departments Computer Vision and Machine Learning Research People Detection, Pose Estimation and Tracking Poselet Conditioned Pictorial Structures Poselet Conditioned Pictorial Structures Typical [...] specifically for each image in question (II) and also predict position and rotation of each body part (III). In order to obtain a strong local multi-modal appearance model we use rotation-dependent part

illuminate this dark and often ignored underbelly of computing (at least by Computer Scientists). They have been able to apply insights gained from decades of theorising to offer improved and distributed solutions [...] your camera and your microphone, and register under a pseudonym. Questions are still possible, in particular using the chat function. Algorithms and Data Structures How To Clock Your Computer Ideen und Konzepte [...] Research Departments Algorithms and Complexity Teaching Winter 2020/21 How To Clock Your Computer How To Clock Your Computer Advanced Course, 4 Basic Information Lectures: Online. Zoom Link: https://c

others, it covers message passing and shared memory, synchrony vs. asynchrony, fault-tolerance, and congestion. The focus lies on key concepts, algorithmic ideas, and mathematical analysis. Despite some [...] Approximation and Routing ToDS_08 (12.01.2021) Exercise_08 (17.12.2020) 12.01. 14.01. Self-Stabilization and Recovery ToDS_09 (12.01.2021) Exercise_09 (07.01.2021) 19.01. 21.01. Mutual Exclusion and Store & [...] of the material interactively. For the exercise session, this means that you have composed some preliminary thoughts and ideas on how to tackle the exercises, which then are discussed and executed in the

Research Departments Computer Vision and Machine Learning Research Gaze-Based Human-Computer Interaction Forecasting User Attention During Everyday Mobile Interactions Using Device-Integrated and Wearable Sensors [...] egrated sensors and body-worn cameras to encode rich information on device usage and users’ visual scene. We demonstrate that our method can forecast bidirectional attention shifts and predict whether [...] [Oulasvirta et al. 2005] and then had to wait for the next chat message. To counter side effects due to learning and anticipation, we varied the waiting time between chat messages and search tasks. Second

better understand us and are capable of interacting with us at a social level. Previous investigations have remained partial due to the overwhelming diversity and complexity of the topic and consequently have [...] Africa, Europe and America and gave them detailed explanations and photo examples to help them keep a basic consistency. Annotation protocol For each annotated person, the head bounding box and identity number [...] The theory provides coverage of all aspects of social relations and equally is concrete and predictive about the visual attributes and behaviors defining the relations included in each domain. We provide

other ): 10/05 , 14/06 . Exercises and Announcements We will use a moodle to discuss and collect the exercises. You can access it from here . Exams and Grades Credits and grades will be based on homework [...] Smolka's lectures and would like to learn more about interactive theorem proving, program semantics, or both. You missed Prof. Smolka's lectures but would still like to learn about interactive theorem proving [...] This advanced course is based on a book by Prof. Tobias Nipkow and Prof. Gerwin Klein , which is available both as a free PDF online and as a hardcover from Springer. The material is complementary to the

of a series of activities starting with setting up the hardware and introducing basic configuration for VLANs and IPv4/IPv6 networks and gradually moving to more advanced topics, including but not limited [...] private networks, security, network monitoring, and troubleshooting. Requirements: Participants should have sufficient knowledge of computer networks and how the Internet works, e.g., by having successfully [...] "On the practice of System and Network Engineering" In our block-seminar "On the practice of System and Network Engineering" , we will go into the practical side of system and network engineering, covering

for his achievements in theoretical computer science; from the laudatio: Karl Bringmann has written two master's dissertations, in computer science and mathematics, and published nine conference papers while [...] a student. As a doctoral and postdoctoral researcher, he presented his work on algorithms and complexity theory at many leading international congresses on theoretical computer science, where he was also [...] scientists from Max Planck and Fraunhofer Institutes presented their latest research results to chancellor Angela Merkel, secretary for education and research Johanna Wanka, and science state secretary Rainer

High-Level Computer Vision (SS2025) Generative Models in Computer Vision (GMCV) Seminar 2024 High-Level Computer Vision (SS2024) Explainable Machine Learning Seminar (SS2024) 2023 High-Level Computer Vision [...] High-Level Computer Vision (SS2022) Convex Analysis (SS2022) 2021 High-Level Computer Vision (SS2021) 2020 Probabilistic Graphical Models and their Applications (WS2020) High-Level Computer Vision (SS2020) [...] Graphical Models and their Applications (WS2019) High-Level Computer Vision (SS2019) 2018 Probabilistic Graphical Models and their Applications (WS2018) Machine Learning (WS2018) High-Level Computer Vision (SS2018)