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more<br>secure and reliable T2I models.<br> %K Computer Science, Computer Vision and Pattern Recognition, cs.CV,Computer Science, Artificial Intelligence, cs.AI,Computer Science, Cryptography and Security, [...] Language Modeling Workshop (HuCLLM 2024)}, EDITOR = {Soni, Nikita and Flek, Lucie and Sharma, Ashsih and Yang, Diyi and Hooker, Sara and Schwartz, H. Andrew}, PAGES = {1--15}, ADDRESS = {Bangkok, Thailand} [...] more secure and reliable T2I models. BibTeX @online{Liu_2409.19149, TITLE = {Multimodal Pragmatic Jailbreak on Text-to-image Models}, AUTHOR = {Liu, Tong and Lai, Zhixin and Zhang, Gengyuan and Torr, Philip

{Chen, Yixin and Ludwig, Heiko and Tu, Yicheng and Fayyad, Usama and Zhu, Xingquan and Xu, Xiaohua and Byna, Suren and Liu, Xiong and Zyhang, Jianping and Pan, Shirui and Papalexakis, Vagelis and Wang, Jianwu [...] {Seufert, Michael and Dietz, Katharina and Wehner, Nikolas and Gei{\ss}ler, Stefan and Sch{\"u}ler, Joshua and Wolz, Manuel and Hotho, Andreas and Casas, Pedro and Ho{\ss}feld, Tobias and Feldmann, Anja} [...] {Feldmann, Anja and Gasser, Oliver and Lichtblau, Franziska and Pujol, Enric and Poese, Ingmar and Dietzel, Christoph and Wagner, Daniel and Wichtlhuber, Matthias and Tapiador, Juan and Vallina-Rodriguez

2000 Dieter W. Fellner and Jörg Haber and Sven Havemann and Leif Kobbelt and Hendrik P. A. Lensch and Gordon Müller and Ingmar Peter and Robert Schneider and Hans-Peter Seidel and Wolfgang Straßer Beiträge [...] Heinrich Niemann and Bernd Girod and Hans-Peter Seidel and Benno Heigl and Wolfgang Heidrich and Marcus A. Magnor The SFB 603 - Model Based Analysis and Visualization of Complex Scenes and Sensor Data In: [...] 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

mathematical and as realistic description as possible of rigid, movable, but also deformable bodies within a scene. This is a very difficult and time-consuming computational problem, and the developed [...] as a building block for techniques that allow computers to capture the moving world around them and also to interact with many applications in robotics and augmented/virtual reality". This work shows that [...] from Erlangen, Stanford, and Saarbrücken can transfer the facial expressions and lip movements of one person to the video stream of another in real time, whereas gestures and head movements remain unchanged

Research Departments Computer Vision and Machine Learning People Alumni and Former Members Qiuhong Ke Qiuhong Ke (Post-Doc) Personal Information Research Interests Computer Vision Machine Learning Action [...] Qiuhong %A Fritz, Mario %A Schiele, Bernt %+ Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society External Organizations Computer Vision and Machine Learning, MPI for Informatics, Max [...] %B 32nd IEEE Conference on Computer Vision and Pattern Recognition %Z date of event: 2019-06-16 - 2019-06-20 %C Long Beach, CA, USA %B IEEE/CVF Conference on Computer Vision and Pattern Recognition %P 9917

many computational problems have at most a quadratic quantum speedup and often even less. In practise, this speedup is countered by the slowdown quantum computers incur due to error-correction and fault [...] quantum cryptography and complexity develop approaches to this question based on the notion of an interactive proof. Generally speaking an interactive proof models any interaction whereby a powerful device [...] transition and Friedel oscillations in 1D, and antiferromagnetic order in both 1D and 2D. We use a variety of error-mitigation techniques, including symmetries of the Fermi-Hubbard model and a technique

dynamically retrieved entity names and relational phrases. It augments this graph with types and semantic alignments, and computes the best answers by an algorithm for Group Steiner Trees. We evaluate [...] projects and their associated publications listed below. Project explorer: https://qa.mpi-inf.mpg.de/projects/ Book: Rishiraj Saha Roy and Avishek Anand, Question Answering for the Curated Web: Tasks and Methods [...] covering KB, text and web tables in a unified manner. The method has three stages: (i) understanding the question and its temporal conditions, (ii) retrieving evidence from all sources, and (iii) faithfully

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

for Visual Computing, Interaction and Artificial Intelligence Graduate School of Computer Science Max Planck Center for Visual Computing and Communication Kaiserslautern-Saarbrücken Computer Science Cluster [...] 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 [...] 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

Spatio-Temporal Data-Driven Pooling }, author={Yang He and Wei-Chen Chiu and Margret Keuper and Mario Fritz}, booktitle={ IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, year={2017}} VSB100: [...] sequence as input and computes the semantic segmentation of a target frame with the help of unlabeled frames. We use superpixels and optical flow to establish region correspondences, and fuse the posterior [...] platforms or handheld and bodyworn RGBD cameras, nearby video frames provide diverse viewpoints and additional context of objects and scenes. To leverage such information, we first compute region correspondences