Search Results for author: Ehsan Pajouheshgar

Found 6 papers, 3 papers with code

DyNCA: Real-time Dynamic Texture Synthesis Using Neural Cellular Automata

no code implementations21 Nov 2022 Ehsan Pajouheshgar, Yitao Xu, Tong Zhang, Sabine Süsstrunk

Current Dynamic Texture Synthesis (DyTS) models in the literature can synthesize realistic videos.

Texture Synthesis

CLIPasso: Semantically-Aware Object Sketching

1 code implementation11 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.

Optimizing Latent Space Directions For GAN-based Local Image Editing

1 code implementation24 Nov 2021 Ehsan Pajouheshgar, Tong Zhang, Sabine Süsstrunk

Generative Adversarial Network (GAN) based localized image editing can suffer from ambiguity between semantic attributes.


[Re] Warm-Starting Neural Network Training

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.

Data Augmentation

ChOracle: A Unified Statistical Framework for Churn Prediction

no code implementations15 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.

Point Processes

Back to square one: probabilistic trajectory forecasting without bells and whistles

no code implementations7 Dec 2018 Ehsan Pajouheshgar, Christoph H. Lampert

We introduce a spatio-temporal convolutional neural network model for trajectory forecasting from visual sources.

Trajectory Forecasting

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