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Edo Collins
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2020 – today
- 2024
- [j2]Aurel Gruber
, Edo Collins, Abhimitra Meka
GANtlitz: Ultra High Resolution Generative Model for Multi-Modal Face Textures. Comput. Graph. Forum 43(2): i-iii (2024) - [i5]Mohamad Shahbazi, Liesbeth Claessens, Michael Niemeyer, Edo Collins, Alessio Tonioni, Luc Van Gool, Federico Tombari:
InseRF: Text-Driven Generative Object Insertion in Neural 3D Scenes. CoRR abs/2401.05335 (2024) - 2023
- [c7]Mohamad Shahbazi, Evangelos Ntavelis, Alessio Tonioni, Edo Collins, Danda Pani Paudel
NeRF-GAN Distillation for Efficient 3D-Aware Generation with Convolutions. ICCV (Workshops) 2023: 2880-2890 - [i4]Mohamad Shahbazi, Evangelos Ntavelis, Alessio Tonioni, Edo Collins, Danda Pani Paudel, Martin Danelljan, Luc Van Gool:
NeRF-GAN Distillation for Efficient 3D-Aware Generation with Convolutions. CoRR abs/2303.12865 (2023) - 2020
- [c6]Edo Collins, Raja Bala, Bob Price, Sabine Süsstrunk:
Editing in Style: Uncovering the Local Semantics of GANs. CVPR 2020: 5770-5779 - [i3]Edo Collins, Raja Bala, Bob Price, Sabine Süsstrunk:
Editing in Style: Uncovering the Local Semantics of GANs. CoRR abs/2004.14367 (2020)
2010 – 2019
- 2019
- [b1]Edo Collins:
Evaluating and Interpreting Deep Convolutional Neural Networks via Non-negative Matrix Factorization. EPFL, Switzerland, 2019 - [c5]Edo Collins, Sabine Süsstrunk:
Deep Feature Factorization for Content-Based Image Retrieval and Localization. ICIP 2019: 874-878 - 2018
- [c4]Edo Collins, Radhakrishna Achanta, Sabine Süsstrunk:
Deep Feature Factorization for Concept Discovery. ECCV (14) 2018: 352-368 - [c3]Winston Haaswijk, Edo Collins, Benoit Seguin, Mathias Soeken, Frédéric Kaplan
Deep Learning for Logic Optimization Algorithms. ISCAS 2018: 1-4 - [i2]Edo Collins, Radhakrishna Achanta, Sabine Süsstrunk:
Deep Feature Factorization For Concept Discovery. CoRR abs/1806.10206 (2018) - [i1]Edo Collins, Siavash Arjomand Bigdeli, Sabine Süsstrunk:
Detecting Memorization in ReLU Networks. CoRR abs/1810.03372 (2018) - 2017
- [c2]Martin Engilberge, Edo Collins, Sabine Süsstrunk:
Color representation in deep neural networks. ICIP 2017: 2786-2790 - 2016
- [j1]David E. Carlson
Stochastic Spectral Descent for Discrete Graphical Models. IEEE J. Sel. Top. Signal Process. 10(2): 296-311 (2016) - 2015
- [c1]David E. Carlson, Edo Collins, Ya-Ping Hsieh, Lawrence Carin, Volkan Cevher:
Preconditioned Spectral Descent for Deep Learning. NIPS 2015: 2971-2979
Coauthor Index
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