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ORCIDPhilipp Fischer
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2020 – today
- 2025
[i8]Zhiqi Li, Guo Chen, Shilong Liu
, Shihao Wang, Vibashan VS, Yishen Ji, Shiyi Lan, Hao Zhang, Yilin Zhao, Subhashree Radhakrishnan, Nadine Chang, Karan Sapra, Amala Sanjay Deshmukh, Tuomas Rintamaki, Matthieu Le, Ilia Karmanov, Lukas Voegtle, Philipp Fischer, De-An Huang, Timo Roman, Tong Lu, José M. Álvarez, Bryan Catanzaro, Jan Kautz, Andrew Tao, Guilin Liu, Zhiding Yu:
Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models. CoRR abs/2501.14818 (2025)- [i7]Ilia Karmanov, Amala Sanjay Deshmukh, Lukas Voegtle, Philipp Fischer, Kateryna Chumachenko, Timo Roman, Jarno Seppänen, Jupinder Parmar, Joseph Jennings, Andrew Tao, Karan Sapra:
Éclair - Extracting Content and Layout with Integrated Reading Order for Documents. CoRR abs/2502.04223 (2025) - [i6]Amala Sanjay Deshmukh, Kateryna Chumachenko, Tuomas Rintamaki, Matthieu Le, Tyler Poon, Danial Mohseni-Taheri, Ilia Karmanov, Guilin Liu, Jarno Seppänen, Guo Chen, Karan Sapra, Zhiding Yu, Adi Renduchintala, Charles Wang, Peter Jin, Arushi Goel, Mike Ranzinger, Lukas Voegtle, Philipp Fischer, Timo Roman, Wei Ping, Boxin Wang, Zhuolin Yang, Nayeon Lee, Shaokun Zhang, Fuxiao Liu, Zhiqi Li, Di Zhang, Greg Heinrich, Hongxu Yin, Song Han, Pavlo Molchanov, Parth Mannan, Yao Xu, Jane Polak Scowcroft, Tom Balough, Subhashree Radhakrishnan, Paris Zhang, Sean Cha, Ratnesh Kumar, Zaid Pervaiz Bhat, Jian Zhang, Darragh Hanley, Pritam Biswas, Jesse Oliver, Kevin Vasques, Roger Waleffe, Duncan Riach, Oluwatobi Olabiyi, Ameya Sunil Mahabaleshwarkar, Bilal Kartal, Pritam Gundecha, Khanh Nguyen, Alexandre Milesi, Eugene Khvedchenia, Ran Zilberstein, Ofri Masad, Natan Bagrov, Nave Assaf, Tomer Asida, Daniel Afrimi, Amit Zuker, Netanel Haber, Zhiyu Cheng, Jingyu Xin, Di Wu, Nik Spirin, Maryam Moosaei, Roman Ageev, Vanshil Atul Shah, Yuting Wu, Daniel Korzekwa, Unnikrishnan Kizhakkemadam Sreekumar, Wanli Jiang, Padmavathy Subramanian, Alejandra Rico, Sandip Bhaskar, Saeid Motiian, Kedi Wu, Annie Surla, Chia-Chih Chen, Hayden Wolff, Matthew Feinberg, Melissa Corpuz, Marek Wawrzos, Eileen Long, Aastha Jhunjhunwala, Paul Hendricks, Farzan Memarian, Benika Hall, Xin-Yu Wang, David Mosallanezhad, Soumye Singhal, Luis Vega, Katherine Cheung, Krzysztof Pawelec, Michael Evans, Katherine Luna, Jie Lou:
NVIDIA Nemotron Nano V2 VL. CoRR abs/2511.03929 (2025) - 2024
- [i5]Pietari Kaskela, Philipp Fischer, Timo Roman:
Temporal Lidar Depth Completion. CoRR abs/2406.11315 (2024) - 2023
- [c16]Pietari Kaskela, Philipp Fischer, Timo Roman:
Temporal Lidar Depth Completion. BMVC 2023: 501-505 - [c15]Rok Roskar, Chandrasekhar Ramakrishnan, Michele Volpi, Fernando Pérez-Cruz, Lilian Gasser, Firat Ozdemir, Patrick Paitz, Mohammad Alisafaee, Philipp Fischer, Ralf Grubenmann, Eliza J. Harris, Tasko Olevski, Carl Remlinger, Luis Salamanca, Elisabet Capon Garcia, Lorenzo Cavazzi, Jakub Chrobasik, Darlin Cordoba Osnas, Alessandro Degano, Jimena Dupre, Wesley Johnson, Eike Kettner, Laura Kinkead, Sean D. Murphy, Flora Thiebaut, Olivier Verscheure:
Renku: a platform for sustainable data science. NeurIPS 2023
2010 – 2019
- 2018
- [j4]Nikolaus Mayer, Eddy Ilg, Philipp Fischer, Caner Hazirbas, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox:
What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation? Int. J. Comput. Vis. 126(9): 942-960 (2018) - [i4]Nikolaus Mayer, Eddy Ilg, Philipp Fischer, Caner Hazirbas, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox:
What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation? CoRR abs/1801.06397 (2018) - 2016
- [b1]Philipp Fischer:
Convolutional networks to relate images. University of Freiburg, Freiburg im Breisgau, Germany, 2016 - [j3]Ching-Wei Wang, Cheng-Ta Huang, Jia-Hong Lee, Chung-Hsing Li, Sheng-Wei Chang, Ming-Jhih Siao, Tat-Ming Lai, Bulat Ibragimov, Tomaz Vrtovec, Olaf Ronneberger, Philipp Fischer, Timothy F. Cootes, Claudia Lindner:
A benchmark for comparison of dental radiography analysis algorithms. Medical Image Anal. 31: 63-76 (2016) - [j2]Alexey Dosovitskiy, Philipp Fischer, Jost Tobias Springenberg, Martin A. Riedmiller, Thomas Brox:
Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 38(9): 1734-1747 (2016) - [c14]Nikolaus Mayer, Eddy Ilg, Philip Häusser, Philipp Fischer, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox:
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation. CVPR 2016: 4040-4048 - [c13]Philipp Fischer, Cornelius Styp von Rekowski, Andreas Nürnberger:
Context-Aware Restaurant Recommendation for Natural Language Queries: A Formative User Study in the Automotive Domain. INTERSPEECH 2016: 3066-3070 - 2015
- [c12]Philipp Fischer, Alexey Dosovitskiy, Thomas Brox:
Image Orientation Estimation with Convolutional Networks. GCPR 2015: 368-378 - [c11]Alexey Dosovitskiy, Philipp Fischer, Eddy Ilg, Philip Häusser, Caner Hazirbas, Vladimir Golkov, Patrick van der Smagt, Daniel Cremers, Thomas Brox:
FlowNet: Learning Optical Flow with Convolutional Networks. ICCV 2015: 2758-2766 - [c10]Olaf Ronneberger, Philipp Fischer, Thomas Brox:
U-Net: Convolutional Networks for Biomedical Image Segmentation. MICCAI (3) 2015: 234-241 - [i3]Philipp Fischer, Alexey Dosovitskiy, Eddy Ilg, Philip Häusser, Caner Hazirbas, Vladimir Golkov, Patrick van der Smagt, Daniel Cremers, Thomas Brox:
FlowNet: Learning Optical Flow with Convolutional Networks. CoRR abs/1504.06852 (2015) - [i2]Olaf Ronneberger, Philipp Fischer, Thomas Brox:
U-Net: Convolutional Networks for Biomedical Image Segmentation. CoRR abs/1505.04597 (2015) - [i1]Nikolaus Mayer, Eddy Ilg, Philip Häusser, Philipp Fischer, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox:
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation. CoRR abs/1512.02134 (2015) - 2014
- [c9]Philipp Fischer, Thomas Brox:
Image Descriptors Based on Curvature Histograms. GCPR 2014: 239-249 - 2013
- [c8]Dominic Mai, Philipp Fischer, Thomas Blein, Jasmin Dürr, Klaus Palme, Thomas Brox, Olaf Ronneberger:
Discriminative Detection and Alignment in Volumetric Data. GCPR 2013: 205-214 - 2010
- [c7]Philipp Fischer, Andreas Nürnberger:
myCOMAND: Automotive HMI framework for personalization of web-based content collections. SMC 2010: 2907-2913 - [c6]Philipp Fischer, Andreas Nürnberger:
myCOMAND Automotive User Interface: Personalized Interaction with Multimedia Content Based on Fuzzy Preference Modeling. UMAP 2010: 315-326
2000 – 2009
- 2008
- [c5]Philipp Fischer, André Berton, Andreas Nürnberger:
Adaptive Search Results Personalized by a Fuzzy Recommendation Approach. PIT 2008: 26-36 - [c4]Philipp Fischer, Andreas Nürnberger:
Adaptive and multimodal interaction in the vehicle. SMC 2008: 1512-1516 - 2007
- [c3]Philipp Fischer, Andreas Österle, André Berton, Peter Regel-Brietzmann:
How to personalize speech applications for web-based information in a car. INTERSPEECH 2007: 2557-2560 - 2006
- [j1]Ronald Tetzlaff, Christian Niederhöfer, Philipp Fischer:
Automated detection of a preseizure state: non-linear EEG analysis in epilepsy by Cellular Nonlinear Networks and Volterra systems. Int. J. Circuit Theory Appl. 34(1): 89-108 (2006) - 2004
- [c2]Philipp Fischer, Ronald Tetzlaff:
Pattern detection by cellular neuronal networks (CNN) in long-term recordings of a brain electrical activity in epilepsy. IJCNN 2004 - 2003
- [c1]Ronald Tetzlaff, Christian Niederhöfer, Philipp Fischer:
Feature extraction in epilepsy using a cellular neural network based device - first results. ISCAS (3) 2003: 850-853
Coauthor Index
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