Group Computational Biology RG1 Automation of Logic RG2 Network and Cloud Systems RG3 Multimodal Language Processing Home Institute Mission Address Executive Board Scientific Members of MPG Scientific Advisory [...] Group Computational Biology RG1 Automation of Logic RG2 Network and Cloud Systems RG3 Multimodal Language Processing Publications Algorithms & Complexity Computer Vision and Machine Learning Internet A
Group Computational Biology RG1 Automation of Logic RG2 Network and Cloud Systems RG3 Multimodal Language Processing Automation of Logic People Research Areas Automated Verification Combinations of Deductive
Many existing algorithms are simple enough that they can be almost literally translated into the language of linear algebra. In this respect, the performance gains are instantaneous and the learning curve
Universal Language Interface}, AUTHOR = {Wang, Haiyang and Tang, Hao and Jiang, Li and Shi, Shaoshuai and Naeem, Muhammad Ferjad and Li, Hongsheng and Schiele, Bernt and Wang, Liwei}, LANGUAGE = {eng}, [...] Information Publications 2024 1 Conference paper D2 A. Das, X. Hu, L. Jiang, and B. Schiele “MTA-CLIP: Language-Guided Semantic Segmentation with Mask-Text Alignment,” in Computer Vision -- ECCV 2024, Milano [...] with Mask-Text Alignment}, AUTHOR = {Das, Anurag and Hu, Xinting and Jiang, Li and Schiele, Bernt}, LANGUAGE = {eng}, ISBN = {978-3-031-72948-5}, DOI = {10.1007/978-3-031-72949-2_3}, PUBLISHER = {Springer}
Science and Technology "MISIS" , Moscow, Russia, 2007 Recent Positions Research assistant, Human Language Technology and Pattern Recognition Department , RWTH Aachen University , Germany Student assistant
how it improves image retrieval and annotations tasks involving spatial language. Due to the complexity of the spatial language, we argue for a learning-based approach that acquires a representation of [...] Research Departments Computer Vision and Machine Learning Research Vision and Language Learning Spatial Relations Learning Spatial Relations Mateusz Malinowski and Mario Fritz Abstract Over the last two [...] Diverse Captions with Adversarial Training Xplore-M-Ego: Contextual Media Retrieval Using Natural Language Queries Visual Turing Challenge Learning Spatial Relations TACoS Multi-Level Corpus MPII Movie
Google expand strategic research partnership on AI 05 February 2024 New research area "Vision and Language Models (VLMs)" at the Saarbrücken Research Center for Visual Computing, Interaction and Artificial
J. Keuper “Are Vision Language Models Texture or Shape Biased and Can We Steer Them?,” 2024. [Online]. Available: https://arxiv.org/abs/2403.09193. more Abstract Vision language models (VLMs) have drastically [...] 2024, Milano, Italy, 2024. 9 Conference paper D2 A. Das, X. Hu, L. Jiang, and B. Schiele “MTA-CLIP: Language-Guided Semantic Segmentation with Mask-Text Alignment,” in Computer Vision -- ECCV 2024, Milano [...] Naeem, H. Li, B. Schiele, and L. Wang “GiT: Towards Generalist Vision Transformer through Universal Language Interface,” in Computer Vision -- ECCV 2024, Milano, Italy, 2024. 15 Conference paper D2 C. Wewer
on of {eBPF} Code}, AUTHOR = {Bromberger, Martin and Schwarz, Simon and Weidenbach, Christoph}, LANGUAGE = {eng}, ISSN = {2040-557X}, DOI = {10.29007/sj4l}, PUBLISHER = {EasyChair}, YEAR = {2024}, MARGINALMARK [...] = {Bromberger, Martin and Krasnopol, Florent and M{\"o}hle, Sibylle and Weidenbach, Christoph}, LANGUAGE = {eng}, ISBN = {978-3-031-63497-0}, DOI = {10.1007/978-3-031-63498-7_9}, PUBLISHER = {Springer} [...] {Desharnais, Martin and Toth, Balazs and Waldmann, Uwe and Blanchette, Jasmin and Tourret, Sophie}, LANGUAGE = {eng}, ISBN = {978-3-95977-337-9}, URL = {urn:nbn:de:0030-drops-207401}, DOI = {10.4230/LIPIcs
{{GPTKB}: Building Very Large Knowledge Bases from Language Models}, AUTHOR = {Hu, Yujia and Ghosh, Shrestha and Nguyen, Tuan-Phong and Razniewski, Simon}, LANGUAGE = {enn}, URL = {https://arxiv.org/abs/2411.04920} [...] of the 2nd workshop on Knowledge Base Construction from Pre-Trained Language Models (KBC-LM 2024) and the 3rd challenge on Language Models for Knowledge Base Construction (LM-KBC 2024) co-located with [...] “QUITE: Quantifying Uncertainty in Natural Language Text in Bayesian Reasoning Scenarios,” in Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP 2024), Miama, FL, USA
