Edo Collins

According to our database, Edo Collins authored at least 12 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

GANtlitz: Ultra High Resolution Generative Model for Multi-Modal Face Textures.

Aurel Gruber, Edo Collins, Abhimitra Meka, Franziska Mueller, Kripasindhu Sarkar, Sergio Orts, Luca Prasso, Jay Busch, Markus Gross, Thabo Beeler

Comput. Graph. Forum, May, 2024

InseRF: Text-Driven Generative Object Insertion in Neural 3D Scenes.

Mohamad Shahbazi, Liesbeth Claessens, Michael Niemeyer, Edo Collins, Alessio Tonioni, Luc Van Gool, Federico Tombari

CoRR, 2024

2023

NeRF-GAN Distillation for Efficient 3D-Aware Generation with Convolutions.

Mohamad Shahbazi, Evangelos Ntavelis, Alessio Tonioni, Edo Collins, Danda Pani Paudel, Martin Danelljan, Luc Van Gool

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2020

Editing in Style: Uncovering the Local Semantics of GANs.

Edo Collins, Raja Bala, Bob Price, Sabine Süsstrunk

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Evaluating and Interpreting Deep Convolutional Neural Networks via Non-negative Matrix Factorization.

Edo Collins

PhD thesis, 2019

Deep Feature Factorization for Content-Based Image Retrieval and Localization.

Edo Collins, Sabine Süsstrunk

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

2018

Detecting Memorization in ReLU Networks.

Edo Collins, Siavash Arjomand Bigdeli, Sabine Süsstrunk

CoRR, 2018

Deep Learning for Logic Optimization Algorithms.

Winston Haaswijk, Edo Collins, Benoit Seguin, Mathias Soeken, Frédéric Kaplan, Sabine Süsstrunk, Giovanni De Micheli

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Deep Feature Factorization for Concept Discovery.

Edo Collins, Radhakrishna Achanta, Sabine Süsstrunk

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Color representation in deep neural networks.

Martin Engilberge, Edo Collins, Sabine Süsstrunk

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016

Stochastic Spectral Descent for Discrete Graphical Models.

David E. Carlson, Ya-Ping Hsieh, Edo Collins, Lawrence Carin, Volkan Cevher

IEEE J. Sel. Top. Signal Process., 2016

2015

Preconditioned Spectral Descent for Deep Learning.

David E. Carlson, Edo Collins, Ya-Ping Hsieh, Lawrence Carin, Volkan Cevher

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015