Search

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 BIO Research [...] Research Group Computational Biology RG1 Automation of Logic RG2 Network and Cloud Systems RG3 Multimodal Language Processing Databases and Information Systems People Former Members and Guests Research [...] contain both, programming and non-programming tasks. More details about the procedure and grading will follow soon. Grading and Requirements for Passing the Course To pass the course and earn 6 credit points

works on methods for interactive exploration of large document collections, for the analysis and automated extraction of knowledge from natural language text, and for pattern mining and logical reasoning [...] ed challenges to information management. The development of the Web 2.0 and social networks, the ubiquity of mobile devices and sensor networks, as well as advances in gathering scientific data contribute [...] of many users and user groups is analyzed in order to create recommendations for each individual user. The key challenges that recommender systems need to solve are (1) the modeling and prediction of user

Finding and following people is a key technology for many applications such as robotics and automotive safety, human-computer interaction scenarios, or for indexing images and videos from the web or s [...] surveillance cameras. At the same time it is one of the most challenging problems in computer vision and remains a scientific challenge for realistic scenes.

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 BIO Research [...] Research Group Computational Biology RG1 Automation of Logic RG2 Network and Cloud Systems RG3 Multimodal Language Processing Databases and Information Systems People Former Members and Guests Research [...] probability theory) and basic algorithms. Grading and Requirements for Passing the Course To pass the course and earn 9 credit points, the following is required: Regular attendance of classes and tutor groups

für Bioinformatik, das Center for IT-Security, Privacy and Accountability, der erneut bewilligte Exzellenzcluster "Multimodal Computing and Interaction", das Deutsche Forschungszentrum für Künstliche Intel-ligenz [...] Intel-ligenz (DFKI) und das Intel Visual Computing Institute. Pressekontakt: Bertram Somieski (somieski@mpi-klsb.mpg.de) Max-Planck-Institut für Informatik Max-Planck-Institut für Softwaresysteme Joint A

recently renewed Cluster of Excellence "Multimodal Computing and Interaction", the German Research Center for Artificial Intelligence (DFKI), and the Intel Visual Computing Institute. Press contact: Bertram [...] infection a node generates by summarizing the size, density, and diversity of the node's neighborhood. The metric assigns each node a score between 0 and 100. A node's expected force has over 90 percent correlation [...] ion and made the results available on a web page. The expected force (ExF) of each airport was calculated based on a database of 3,458 airports connected by 68,820 scheduled commercial routes and featuring

processing, and machine learning will be helpful. Additional knowledge of probability and statistics, linear algebra, and optimization techniques is reocmmended, but not absolutely necessary. Exams and eligibility [...] each paper discussed in the lecture ( after the lecture), and comment on their advantages and disadvantages. Assignments will be individual and group work will not be allowed. Assignment grades will contribute [...] grade. The report on each paper is recommended to be crisp and around ten lines: four lines on the summary, and three sentences each on positives and negatives. You can include more points if really necessary

Conference, Book and Report Publications Department Publications D1: Algorithms and Complexity This Year Last Year The Year Before Last Research Reports D2: Computer Vision and Multimodal Computing This Year [...] D4: Computer Graphics This Year Last Year The Year Before Last Research Reports D5: Databases and Information Systems This Year Last Year The Year Before Last Research Reports D6: Visual Computing and [...] Research Group Computational Biology This Year Last Year The Year Before Last RG1: Automation of Logic This Year Last Year The Year Before Last Research Reports RG2: Visual Computing and Artificial Intelligence

Bhatnagar, J. E. Lenssen, and G. Pons-Moll “Template Free Reconstruction of Human-object Interaction with Procedural Interaction Generation,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition [...] B-cosification to a pretrained CLIP model, and show that, even with limited data and compute cost, we obtain a B-cosified version that is highly interpretable and competitive on zero shot performance across [...] Ahmed, A. Kukleva, and B. Schiele “OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition

Petrov, R. Marin, J. Chibane, and G. Pons-Moll “Object Pop-Up: Can We Infer 3D Objects and their Poses from Human Interactions Alone?,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR [...] Dabeer, B. Schiele, A. Swaminathan, and S. Soatto “A Meta-Learning Approach to Predicting Performance and Data Requirements,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), [...] paper D2 H. Wu, C. Wen, S. Shi, X. Li, and C. Wang “Virtual Sparse Convolution for Multimodal 3D Object Detection,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), Vancouver