Domain Adaptation for {3D} Semantic Segmentation}, AUTHOR = {Ding, Runyu and Yang, Jihan and Jiang, Li and Qi, Xiaojuan}, LANGUAGE = {eng}, ISBN = {978-3-031-19811-3}, DOI = {10.1007/978-3-031-19812-0_17}, PUBLISHER [...] n with Mask-Text Alignment : %G eng %U http://hdl.handle.net/21.11116/0000-000F-D869-8 %R 10.1007/978-3-031-72949-2_3 %D 2024 %B 18th European Conference on Computer Vision %Z date of event: 2024-09-29 [...] Varol, Gül %P 55 - 73 %I Springer %@ 978-3-031-73396-3 %B Lecture Notes in Computer Science %N 15087 DOI PuRe BibTeX pre-print version 3 Conference paper D2 X. Hu, L. Jiang, and B. Schiele “Training
knowledge base recall, including 1) counting quantifier extraction from text, 2) relative recall measures, 3) rule mining and 4) logical foundations towards relative recall and informativeness. Survey papers Simon [...] Knowledge Base Properties , ADMA, 2017 [pdf] Tools Relative completeness indicator for Wikidata ( Recoin ) 3. Completeness rule mining In this work, we investigate different signals to identify the areas where [...] Other topics Commonsense knowledge base construction Taxonomy induction in fiction People involved at D5 Weikum, Gerhard Singhania, Sneha External collaborators Fariz Darari, Universitas Indonesia Werner
github.com/JoyHuYY1412/PersonaHOI 2024 2 Paper D2 D6 H. Wang, M. Mendiratta, C. Theobalt, and A. Kortylewski “FaceGPT: Self-supervised Learning to Chat about 3D Human Faces,” 2024. [Online]. Available: ht [...] overcomes this limitation by embedding the parameters of a 3D morphable face model (3DMM) into the token space of a VLM, enabling the generation of 3D faces from both textual and visual inputs. FaceGPT is trained [...] is projected into 3DMM parameters and subsequently rendered as 2D face image to guide the self-supervised learning process via image-based reconstruction. Without relying on expensive 3D annotations of human
Mahajan, Sweta and B{\"o}hle, Moritz and Schiele, Bernt}, LANGUAGE = {eng}, ISBN = {978-3-031-72979-9}, DOI = {10.1007/978-3-031-72980-5_26}, PUBLISHER = {Springer}, YEAR = {2024}, MARGINALMARK = {$\bullet$} [...] Concept Discovery : %G eng %U http://hdl.handle.net/21.11116/0000-000F-9A97-9 %R 10.1007/978-3-031-72980-5_26 %D 2024 %B 18th European Conference on Computer Vision %Z date of event: 2024-09-29 - 2024-10-04 [...] Sattler, Torsten; Varol, Gül %P 444 - 461 %I Springer %@ 978-3-031-72979-9 %B Lecture Notes in Computer Science %N 15135 %U https://rdcu.be/dZWlW DOI PuRe BibTeX publisher version
Springer %@ 978-3-031-73396-3 %B Lecture Notes in Computer Science %N 15087 DOI PuRe BibTeX pre-print version 2 Conference paper D2 L. Jiang, S. Shi, and B. Schiele “Open-Vocabulary 3D Semantic Segmentation [...] Organizations %T 3D Object Detection for Autonomous Driving: A Comprehensive Survey : %G eng %U http://hdl.handle.net/21.11116/0000-000D-3FEF-1 %R 10.1007/s11263-023-01790-1 %7 2023-04-27 %D 2023 %J International [...] Orleans, LA, USA, 2022. more BibTeX @inproceedings{Shi_Neurips22C, TITLE = {{CAGroup3D}: {C}lass-Aware Grouping for {3D} Object Detection on Point Clouds}, AUTHOR = {Wang, Haiyang and Ding, Lihe and Dong
Machine Learning People Alumni and Former Members Ning Yu Ning Yu (PhD Student) Personal Information Publications 2021 1 Conference paper D2 N. Yu, V. Skripniuk, S. Abdelnabi, and M. Fritz “Artificial Fin [...] %B ICCV 2021 %P 6711 - 6722 %I IEEE %@ 978-1-6654-2812-5 DOI PuRe BibTeX pre-print version 3 Conference paper D2 H.-P. Wang, N. Yu, and M. Fritz “Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs [...] https://www.ijcai.org/proceedings/2021/0349.pdf DOI PuRe BibTeX publisher version 2020 5 Conference paper D2 D. Chen, N. Yu, Y. Zhang, and M. Fritz “GAN-Leaks: A Taxonomy of Membership Inference Attacks against
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
2014 - December 2019: PhD student in Computer Science at the Universität des Saarlandes , Saarbrücken, Germany and the Max-Planck-Institut für Informatik December 2019: finished PhD in Computer Science (Dr [...] Decision Procedures for Linear Arithmetic , Martin Bromberger. PhD thesis (submitted in July 2019, defended in December 2019). DOI: 10.22028/D291-30636 ; PDF version ; (***Dr.-Eduard-Martin-Preis***) SPASS-SATT [...] (supervisor: Prof. Dr. Christoph Weidenbach) Software Projects SPASS Wrote the parser for SPASS version 3.9 SPASS-IQ Main developer of the linear arithmetic theory solver SPASS-IQ SPASS-SATT Main developer
Springer %@ 978-3-031-54604-4 978-3-031-54605-1 %B Lecture Notes in Computer Science %N 14264 %U https://rdcu.be/d2lZ3 DOI PuRe BibTeX publisher version 2022 6 Conference paper D2 Y. Guo, D. Stutz, and B [...] Sensitivity To Patch Corruptions : %G eng %U http://hdl.handle.net/21.11116/0000-000D-1F5D-A %R 10.1109/CVPR52729.2023.00400 %D 2023 %B 36th IEEE/CVF Conference on Computer Vision and Pattern Recognition %Z [...] Recognition %P 4108 - 4118 %I IEEE %@ 979-8-3503-0129-8 DOI PuRe BibTeX pre-print version 3 Conference paper D2 Y. Guo, D. Stutz, and B. Schiele “Robustifying Token Attention for Vision Transformers,” in IEEE/CVF
net/21.11116/0000-0001-E564-C %R 10.1109/3DV.2018.00062 %D 2018 %B International Conference on 3D Vision %Z date of event: 2018-09-05 - 2018-09-08 %C Verona, Italy %B 3DV 2018 %P 484 - 494 %I IEEE %@ 978-1 [...] Next, we make the jump from pixels to 3D surfaces, from localising and<br>labelling to fine-grained spatial understanding. We contribute a method for recovering<br>3D human shape and pose, which marries [...] Next, we make the jump from pixels to 3D surfaces, from localising and<br>labelling to fine-grained spatial understanding. We contribute a method for recovering<br>3D human shape and pose, which marries
