Back to square one: probabilistic trajectory forecasting without bells and whistles. - Ehsan Pajouheshgar; Christoph H. Lampert (CoRR, 2018)

Optimizing Latent Space Directions for Gan-Based Local Image Editing. - Ehsan Pajouheshgar; Tong Zhang 023; Sabine Süsstrunk (ICASSP, 2022)

ChOracle: A Unified Statistical Framework for Churn Prediction. - Ali Khodadadi; Seyed Abbas Hosseini; Ehsan Pajouheshgar; Farnam Mansouri; Hamid R. Rabiee (IEEE Trans. Knowl. Data Eng., 2022)

CLIPasso: semantically-aware object sketching. - Yael Vinker; Ehsan Pajouheshgar; Jessica Y. Bo; Roman Christian Bachmann 001; Amit Haim Bermano; Daniel Cohen-Or; Amir Zamir; Ariel Shamir (ACM Trans. Graph., 2022)

DyNCA: Real-Time Dynamic Texture Synthesis Using Neural Cellular Automata. - Ehsan Pajouheshgar; Yitao Xu; Tong Zhang 023; Sabine Süsstrunk (CVPR, 2023)

NoiseNCA: Noisy Seed Improves Spatio-Temporal Continuity of Neural Cellular Automata. - Ehsan Pajouheshgar; Yitao Xu; Sabine Süsstrunk (CoRR, 2024)

Emergent Dynamics in Neural Cellular Automata. - Yitao Xu; Ehsan Pajouheshgar; Sabine Süsstrunk (CoRR, 2024)

Mesh Neural Cellular Automata. - Ehsan Pajouheshgar; Yitao Xu; Alexander Mordvintsev; Eyvind Niklasson; Tong Zhang 023; Sabine Süsstrunk (ACM Trans. Graph., 2024)

Volumetric Temporal Texture Synthesis for Smoke Stylization using Neural Cellular Automata. - Dongqing Wang; Ehsan Pajouheshgar; Yitao Xu; Tong Zhang 023; Sabine Süsstrunk (CoRR, 2025)

Canonical Latent Representations in Conditional Diffusion Models. - Yitao Xu; Tong Zhang 023; Ehsan Pajouheshgar; Sabine Süsstrunk (CoRR, 2025)

Neural Cellular Automata: From Cells to Pixels. - Ehsan Pajouheshgar; Yitao Xu; Ali Abbasi; Alexander Mordvintsev; Wenzel Jakob; Sabine Süsstrunk (CoRR, 2025)

The Mokume Dataset and Inverse Modeling of Solid Wood Textures. - Maria Larsson; Hodaka Yamaguchi; Ehsan Pajouheshgar; I-Chao Shen; Kenji Tojo; Chia-Ming Chang 003; Lars Hansson; Olof Broman; Takashi Ijiri; Ariel Shamir; Wenzel Jakob; Takeo Igarashi (ACM Trans. Graph., 2025)