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Tom Fischer
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2020 – today
- 2024
- [c4]Tom Fischer, Yaoyao Liu, Artur Jesslen, Noor Ahmed, Prakhar Kaushik, Angtian Wang, Alan L. Yuille, Adam Kortylewski, Eddy Ilg:
iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning. ECCV (77) 2024: 357-374 - [c3]Tom Fischer, Pascal Peter, Joachim Weickert, Eddy Ilg:
Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields. ICML 2024 - [i3]Tom Fischer, Pascal Peter, Joachim Weickert, Eddy Ilg:
Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields. CoRR abs/2405.14599 (2024) - [i2]Tom Fischer, Yaoyao Liu, Artur Jesslen, Noor Ahmed, Prakhar Kaushik, Angtian Wang, Alan L. Yuille, Adam Kortylewski, Eddy Ilg:
iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning. CoRR abs/2407.09271 (2024)
2010 – 2019
- 2018
- [c2]Sascha Wirges, Tom Fischer, Christoph Stiller, Jesus Balado Frias:
Object Detection and Classification in Occupancy Grid Maps Using Deep Convolutional Networks. ITSC 2018: 3530-3535 - [i1]Sascha Wirges, Tom Fischer, Jesus Balado Frias, Christoph Stiller:
Object Detection and Classification in Occupancy Grid Maps using Deep Convolutional Networks. CoRR abs/1805.08689 (2018)
2000 – 2009
- 2008
- [j1]Tom Fischer:
Consumption processes and positively homogeneous projection properties. Finance Stochastics 12(3): 357-380 (2008) - 2006
- [c1]Thomas Villmann, Barbara Hammer, Frank-Michael Schleif, Tina Geweniger, Tom Fischer, Marie Cottrell:
Prototype Based Classification Using Information Theoretic Learning. ICONIP (2) 2006: 40-49
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