Computer Vision and Machine Learning Research Human Activity Recognition Recognition of Ongoing Complex Activities by Sequence Prediction over a Hierarchical Label Space Recognition of Ongoing Complex Activities [...] collected a large video dataset of complex activities with long duration. The activities are annotated in a hierarchical label space from coarse to fine. Dataset Description and Video URL list . References [1] [...] [1] Recognition of Ongoing Complex Activities by Sequence Prediction over a Hierarchical Label Space , W. Li and M. Fritz, IEEE Winter Conference on Applications of Computer Vision, (2016) to appear Social
consists of a SPASS/FLOTTER binary, documentation, a small example collection and the tools dfg2otter, dfg2tptp, tptp2dfg, and the ASCII pretty printer dfg2ascii. For additional, partly huge example collections [...] the sources, the GNU gcc compiler should be available. For all categories, download and unpack the gziped tar files and follow the instructions in the contained README files. The Windows 2000/XP as well [...] generated out of the TPTP problem library maintained by Geoff Sutcliffe and Christian Suttner. SPASS 3.7 Sources Sources of SPASS 3.7 and the tools ( .tgz 1.3MB). The difference to version 3.5 are minor bug
navigation Institute D1 Algorithms & Complexity D2 Computer Vision and Machine Learning D3 Internet Architecture D4 Computer Graphics D5 Databases and Information Systems D6 Visual Computing and Artificial Intelligence [...] Intelligence BIO Research Group Computational Biology RG1 Automation of Logic RG2 Network and Cloud Systems RG3 Multimodal Language Processing Automation of Logic People Research Areas Automated Verification [...] Local Reasoning Offers Teaching Summer 2024 Competitive Programming Winter 2023/2024 Summer 2023 Algorithmic Quantifier Elimination Winter 2022/2023 Automated Reasoning Summer 2022 Winter 2021/2022 Winter
the Pupil Pro eye tracker. Swirski[2] and ExCuSe[3] are taken as examples of the state-of-the-art algorithms. Isophote[4] and Gradient[5] are two simple algorithms designed forthe iris shape fitting task [...] glasses and 4. strong makeup. The third row shows croped images around the pupil region under challenging conditions: 1. reflection on the pupil, 2. self occluded, 3.strong sunlight and shade and 4. occlusion [...] conditions, i.e. different lighting conditions and eye camera positions, and 2) to have a large variability in appearance of participants, such as gender, ethnicity and use of vision aids. We took each participant
procedures and apply these as part of a branch-and-cut algorithm. To show the effectiveness of this approach, we analyze feasible solutions for real microscopy data in terms of bounds and run-time, and by their [...] publication) snapshot of the library and a bunch of command line tools to create, lift, solve, and visualize solutions of multicut problems. The project is organized using cmake and depends on hdf5 library. As [...] Departments Computer Vision and Machine Learning Research Image Segmentation Moral Lineage Tracing Moral Lineage Tracing Lineage tracing, the tracking of living cells as they move and divide, is a central problem
navigation Institute D1 Algorithms & Complexity D2 Computer Vision and Machine Learning D3 Internet Architecture D4 Computer Graphics D5 Databases and Information Systems D6 Visual Computing and Artificial Intelligence [...] Biology RG1 Automation of Logic RG2 Network and Cloud Systems RG3 Multimodal Language Processing Databases and Information Systems People Former Members and Guests Research Commonsense Knowledge Question [...] Demo Systems Deutsch Departments Databases and Information Systems Teaching Master Seminar Master Seminar (Oberseminar) Winter Semester 2015–16 Information Date and Place: 15 January 2016 from 14:00 to 17:00
detection outperform both deep convolutional neural networks and methods that use more complex features (such as local binary patterns and covariance) by a large margin. In the last ten years, pedestrian [...] benchmarks for evaluating and comparing methods. In the last decade, numerous techniques have been developed for pedestrian detection. Using different image features, cues, and classifier types, detection [...] grounded on decade-old ideas (oriented gradients features, filter banks, and boosted decision trees) that we have carefully instantiated and adapted to our newest insights. Contrary to previous work, we show
information about a person’s intention, attitude and internal state. The focus of our research is to estimate body pose in realistic conditions such as images and videos found on YouTube or captured with a mobile [...] recognition, markerless motion capture and augmented reality. We build on the recent advances in hierarchical image representations with convolutional neural networks (CNN) and explore two novel research directions: [...] directions: joint estimation of poses of multiple people and 3D human pose estimation from only a few mobile cameras. Detection and pose estimation in multi-person scenes We propose an approach that jointly
