no code implementations • 21 Nov 2022 • Ehsan Pajouheshgar, Yitao Xu, Tong Zhang, Sabine Süsstrunk
Current Dynamic Texture Synthesis (DyTS) models in the literature can synthesize realistic videos.
1 code implementation • 11 Feb 2022 • Yael Vinker, Ehsan Pajouheshgar, Jessica Y. Bo, Roman Christian Bachmann, Amit Haim Bermano, Daniel Cohen-Or, Amir Zamir, Ariel Shamir
Abstraction is at the heart of sketching due to the simple and minimal nature of line drawings.
1 code implementation • 24 Nov 2021 • Ehsan Pajouheshgar, Tong Zhang, Sabine Süsstrunk
Generative Adversarial Network (GAN) based localized image editing can suffer from ambiguity between semantic attributes.
1 code implementation • RC 2020 • Amirkeivan Mohtashami, Ehsan Pajouheshgar, Klim Kireev
We reproduce the results of the paper ”On Warm-Starting Neural Network Training.” In many real-world applications, the training data is not readily available and is accumulated over time.
no code implementations • 15 Sep 2019 • Ali Khodadadi, Seyed Abbas Hosseini, Ehsan Pajouheshgar, Farnam Mansouri, Hamid R. Rabiee
In this approach which is more realistic in real world online services, at each time-step the model predicts the user return time instead of predicting a churn label.
no code implementations • 7 Dec 2018 • Ehsan Pajouheshgar, Christoph H. Lampert
We introduce a spatio-temporal convolutional neural network model for trajectory forecasting from visual sources.