After definition, generation, and relations of convexity for sets and functions are studied, slightly more advanced tools such as the Moreau envelope, the subdifferential, and Fermat's rule are developed [...] optimization problems, optimality conditions, andalgorithms. The second part of the lecture is devoted to the analysis of first order convex optimization algorithms that are ubiquitious in data science applications [...] Bertsekas: Convex Analysis and Optimization. Athena Scientific, 2003 S. Boyd: Convex Optimization. Cambridge Univeristy Press, 2004 H. H. Bauschke and P. L. Combettes: Convex Analysis and Monotone Operator Theory
assistance, multi-media retrieval, surveillance, etc. In this area, the recognition and detection of objects, activities, and visual categories have seen dramatic progress over the last decade. We will discuss [...] both TAs using this mailing list: hlcv-ss22@lists.mpi-inf.mpg.de Literature: " Computer Vision: Algorithmsand Applications " by Richard Szeliski (in particular chapter on image formation) Mikolajcyk, Schmid: [...] Convolutional Networks, NIPS, 2012 " Pattern recognition and machine learning " by Christopher M. Bishop " Computer vision " by David A. Forsyth and Jean Ponce SS 2024 Explainable Machine Learning (ExML)
{COVID}-19 and Beyond}, AUTHOR = {Xia, Yiting and Zhang, Ying and Zhong, Zhizhen and Yan, Guanqing and Lim, Chiunlin and Ahuja, Satyajeet Singh and Bali, Soshant and Nikolaidis, Alexander and Ghobadi, Kimia [...] ent and Uncertainty-resilient Backbone Network Planning with Hose}, AUTHOR = {Ahuja, Satyajeet Singh and Gupta, Varun and Dangui, Vinayak and Bali, Soshant and Gopalan, Abishek and Zhong, Hao and Lapukhov [...] Inference Time Combining Model Deployment and Communication Scheduling}, AUTHOR = {Li, Jialong and Tripathi, Shreyansh and Rastogi, Lakshay and Lei, Yiming and Pan, Rui and Xia, Yiting}, LANGUAGE = {eng}, URL
Inference Time Combining Model Deployment and Communication Scheduling}, AUTHOR = {Li, Jialong and Tripathi, Shreyansh and Rastogi, Lakshay and Lei, Yiming and Pan, Rui and Xia, Yiting}, LANGUAGE = {eng}, URL [...] Reconfigurable Data Center Networks}, AUTHOR = {Li, Jialong and Gong, Haotian and De Marchi, Federico and Gong, Aoyu and Lei, Yiming and Bai, Wei and Xia, Yiting}, LANGUAGE = {eng}, ISBN = {979-8-4007-0614-1} [...] Resources Allocation in Cloud Networking}, AUTHOR = {Li, Jialong and Zhu, Kangqi and Hua, Nan and Zhao, Chen and Li, Yanhe and Zheng, Xiaoping and Zhou, Bingkun}, LANGUAGE = {eng}, ISBN = {978-1-6654-8698-9}
{COVID}-19 and Beyond}, AUTHOR = {Xia, Yiting and Zhang, Ying and Zhong, Zhizhen and Yan, Guanqing and Lim, Chiunlin and Ahuja, Satyajeet Singh and Bali, Soshant and Nikolaidis, Alexander and Ghobadi, Kimia [...] ent and Uncertainty-resilient Backbone Network Planning with Hose}, AUTHOR = {Ahuja, Satyajeet Singh and Gupta, Varun and Dangui, Vinayak and Bali, Soshant and Gopalan, Abishek and Zhong, Hao and Lapukhov [...] System for Reliable Network Management}, AUTHOR = {Xing, Jiarong and Hsu, Kuo-Feng and Xia, Yiting and Cai, Yan and Li, Yanping and Zhang, Ying and Chen, Ang}, LANGUAGE = {eng}, ISBN = {979-8-4007-0437-6}, DOI
start from the physical-layer optical network interconnects and move upwards the network stack to make routing and transport protocols, systems, and network applications adapt to the hardware innovations. [...] computing racks with disaggregated functions such as computing, memory, and storage have become fundamental building blocks of data centers; and a number of data centers are interconnected as a region in dense [...] more flexible connectivity, and greater extensibility for future expansions. This project is to push forward fundamental research on the future cloud fabric combining theory and practice. We abstract the
language complexity, and information retrieval scores. Each of these features has only moderate predictive power. We employ methods combining features with statistical models like TF-IDF and language models [...] combining features and BERT, HERB, achieves an F1 score of up to 46 % . We demonstrate the utility of coverage predictions on two use cases: KB construction and claim refutation. Dataset and Code Download the [...] Knowledge: Creation and Curation of Comprehensive Knowledge Bases Tutorials Completeness, Recall, and Negation in Open-World Knowledge Bases - KR 2021 tutorial Completeness, Recall, and Negation in Open-World
Institute for Informatics. I am interested in the research of Computer Vision and Computer Graphics, especially Domain Adaptation and Domain Generalization. Experience Dec. 2020 - Dec. 2021: Computer Vision [...] HOI-oriented text inputs. By incorporating cross-attention constraints in the PFD branch and spatial merging at both latent and residual levels, PersonaHOI preserves personalized facial details while ensuring [...] uage Models (VLMs) to reason about 3D human faces from images and text. Typical 3D face reconstruction methods are specialized algorithms that lack semantic reasoning capabilities. FaceGPT overcomes this
the intersection between computer graphics and machine learning with a focus on rendering. We seek to develop algorithmsand data structures which enable fast and high-quality image generation for interactive [...] Research Areas and Achievements Diverse Rendering We consider all types of image synthesis algorithmsand explore the entire continuum of techniques. This includes physically-based, image-based, and data-dri [...] Computer Graphics Research Image Synthesis and Machine Learning Image Synthesis and Machine Learning Leader of the group: Dr. Thomas Leimkühler Vision and Research Strategy Our group conducts foundational
conceptual and technical understanding of communication networks, especially wireless and mobile networks, is required. Strong knowledge of and interest in optimization techniques andalgorithms, especially [...] unprecedented performance and enable new applications such as virtual and augmented reality (VR/AR), ubiquitous real-time communications, and the Internet of Things. Several companies and countries are currently [...] models for 6G networks, their applications and performance requirements, as well as algorithmsand optimization frameworks to run 6G networks in a highly reliable and efficient way; Design solutions to make