078-3 %R 10.1109/TIP.2020.3048679 %7 2021 %D 2021 %J IEEE Transactions on Image Processing %V 30 %& 1799 %P 1799 - 1811 %I IEEE %C Piscataway, NJ %@ false DOI PuRe BibTeX 2020 4 Conference paper D2 J. [...] Pattern Recognition %P 4886 - 4895 %I IEEE %@ 978-1-6654-4509-2 DOI PuRe BibTeX pre-print version 3 Article D2 J. Dong and J. Pan “Deep Outlier Handling for Image Deblurring,” IEEE Transactions on Image Processing [...] Former Members Jiangxin Dong Jiangxin Dong (Post-Doc) Personal Information Publications 2022 1 Article D2 J. Dong, S. Roth, and B. Schiele “DWDN: Deep Wiener Deconvolution Network for Non-Blind Image Deblurring
10-12 (first tutorials on Oct 23 and 24.) Monday: Group A - E1.3 SR014 Group B - E1.3 SR015 Tuesday: Group D - E1.7 0.01 Group E - E1.3 SR015 Exams February 21st, 2018, 14:00 - 17:00, E2.2, Günter-Hotz [...] Manning et al. Ch. 2.1, 2.2, 3.3, 8 51 Dec 20 Dec 22 NLP for IR yay, almost holiday, no lecture JS (slides) 52 Dec 27 Dec 29 yay, holiday, no lecture yay, holiday, no lecture 1 Jan 3 Jan 5 Ranking I (updated [...] Sequences Solution Aggarwal Ch. 3.4, 14, 15 50 Dec 11/12 Graphs Solution Aggarwal Ch. 17, 19 51 Dec 18/19 IR Basics & Evaluation Solution , script Manning et al. Ch. 1, 2.1, 2.2, 3.3, 5.1, 6, 8 52 Dec 25/26 yay
conversations, which tell in which contexts information is likely complete, and in which not [17]. 3. Counts from text and KB (16:20-16:40): We highlight the challenges in obtaining human ground truth [...] 5. Wrap-up (17:00-17:10 min) Slides 1. Introduction and Foundation 2. Predictive recall assessment 3. Counts from text and KB 4. Identifying salient negations Presenters Simon Razniewski (primary contact) [...] WSDM’21). Hiba Arnaout - Max Planck Institute for Informatics, https://hibaarnaout.com .Hiba is a PhD candidate at the Max Planck Insitute for Informatics, in Saarbrücken, Germany. Her primary academic
conversations, which tell in which contexts information is likely complete, and in which not [17]. 3. Counts from text and KB (20 min): We highlight the challenges in obtaining human ground truth, and [...] modelling. 5. Wrap-up (5 min) Slides 1. Introduction and Foundation 2. Predictive recall assessment 3. Counts from text and KB 4. Identifying salient negations Presenters Simon Razniewski (primary contact) [...] Arnaout - Max Planck Institute for Informatics, people.mpi-inf.mpg.de/~harnaout/ . Hiba Arnaout is a PhD student at the Max Planck Insitute for Informatics, in Saarbruecken, Germany. Her primary academic interests
Multimodal Language Processing Publications Publications 2024 1 Conference paper RG3 A. Chingacham, M. Zhang, V. Demberg, and D. Klakow “Human Speech Perception in Noise: Can Large Language Models Paraphrase [...] “Right Reasons”? : %G eng %U http://hdl.handle.net/21.11116/0000-000F-EAA1-3 %R 10.18653/v1/2024.acl-long.519 %D 2024 %B 62nd Annual Meeting of the Association for Computational Linguistic %Z date [...] Lun-Wei; Martins, Andre; Srikumar, Vivek %P 9598 - 9619 %I ACL DOI PuRe BibTeX publisher version 3 Paper RG3 T. Liu, Z. Lai, G. Zhang, P. Torr, V. Demberg, V. Tresp, and J. Gu “Multimodal Pragmatic Jailbreak
Mateusz and Fritz, Mario and Leonardis, Ales}, LANGUAGE = {eng}, ISBN = {978-3-030-11008-6}, DOI = {10.1007/978-3-030-11009-3_32}, PUBLISHER = {Springer}, YEAR = {2018}, DATE = {2019}, BOOKTITLE = {Computer [...] Scene Descriptions : %G eng %U http://hdl.handle.net/21.11116/0000-0002-B962-F %R 10.1007/978-3-030-11009-3_32 %D 2019 %B Workshop on Visual Learning and Embodied Agents in Simulation Environments %Z date [...] BibTeX 2017 3 Article D2 M. Malinowski, M. Rohrbach, and M. Fritz “Ask Your Neurons: A Deep Learning Approach to Visual Question Answering,” International Journal of Computer Vision, vol. 125, no. 1–3, 2017
inequalities that describe a slightly rotated square [3] Benchmarks tested in "A Reduction from Unbounded Linear Mixed Arithmetic Problems into Bounded Problems" [3]: UnbdLIB the partially unbounded, linear integer [...] value of any randomly generated number; and d, the density of any randomly created matrix or vector. (The benchmarks we created are 125 problems with a=4, d=0.75, and (n,m) \in {(10,15),(25,30),(50,55) [...] Double-Bounded reduction and the Mixed-Echelon-Hermite transformation and detailed experiments see [3]. The transformations are by default turned on in SPASS-IQ. Input Format As input format, SPASS-IQ uses
OTHER: Local-ID: C1256DBF005F876D-C48EC96138450196C12576B1003F58D3-ilpubs-926 %Y Standford University %C Standford %D 2010 %P 13 p. %B Technical Report PuRe BibTeX 18 Report D5 S. Elbassuoni, M. Ramanath, [...] terh/dsgdTechRep.pdf %F OTHER: Local-ID: C1256DBF005F876D-5B618B1FF070E981C125784D0044B0D1-gemulla11 %Y IBM Research Division %C San Jose, CA %D 2011 %X As Web 2.0 and enterprise-cloud applications have [...] Research Report / Max-Planck-Institut für Informatik PuRe BibTeX fulltext version 38 Report D1 D5 D4 H. Bast, D. Majumdar, R. Schenkel, C. Theobalt, and G. Weikum “IO-Top-k: index-access optimized top-k
