no code implementations • NeurIPS 2015 • David E. Carlson, Edo Collins, Ya-Ping Hsieh, Lawrence Carin, Volkan Cevher
These challenges include, but are not limited to, the non-convexity of learning objectives and estimating the quantities needed for optimization algorithms, such as gradients.
2 code implementations • ECCV 2018 • Edo Collins, Radhakrishna Achanta, Sabine Süsstrunk
We propose Deep Feature Factorization (DFF), a method capable of localizing similar semantic concepts within an image or a set of images.
Ranked #6 on Unsupervised Human Pose Estimation on Tai-Chi-HD
Unsupervised Facial Landmark Detection Unsupervised Human Pose Estimation +1
no code implementations • ICLR 2019 • Edo Collins, Siavash Arjomand Bigdeli, Sabine Süsstrunk
We propose a new notion of `non-linearity' of a network layer with respect to an input batch that is based on its proximity to a linear system, which is reflected in the non-negative rank of the activation matrix.
2 code implementations • CVPR 2020 • Edo Collins, Raja Bala, Bob Price, Sabine Süsstrunk
Focusing on StyleGAN, we introduce a simple and effective method for making local, semantically-aware edits to a target output image.
1 code implementation • 22 Mar 2023 • Mohamad Shahbazi, Evangelos Ntavelis, Alessio Tonioni, Edo Collins, Danda Pani Paudel, Martin Danelljan, Luc van Gool
Pose-conditioned convolutional generative models struggle with high-quality 3D-consistent image generation from single-view datasets, due to their lack of sufficient 3D priors.
no code implementations • 10 Jan 2024 • Mohamad Shahbazi, Liesbeth Claessens, Michael Niemeyer, Edo Collins, Alessio Tonioni, Luc van Gool, Federico Tombari
We introduce InseRF, a novel method for generative object insertion in the NeRF reconstructions of 3D scenes.