no code implementations • 9 Apr 2024 • Ehsan Pajouheshgar, Yitao Xu, Sabine Süsstrunk
We demonstrate the effectiveness of our approach in preserving the consistency of NCA dynamics across a wide range of spatio-temporal granularities.
no code implementations • 9 Apr 2024 • Yitao Xu, Ehsan Pajouheshgar, Sabine Süsstrunk
Neural Cellular Automata (NCA) models are trainable variations of traditional Cellular Automata (CA).
no code implementations • 6 Nov 2023 • Ehsan Pajouheshgar, Yitao Xu, Alexander Mordvintsev, Eyvind Niklasson, Tong Zhang, Sabine Süsstrunk
We propose Mesh Neural Cellular Automata (MeshNCA), a method for directly synthesizing dynamic textures on 3D meshes without requiring any UV maps.
1 code implementation • 29 Jun 2023 • Jiahao Qin, Yitao Xu, Zihong Luo Chengzhi Liu, Zong Lu, Xiaojun Zhang
Feature alignment is the primary means of fusing multimodal data.
Ranked #1 on Arrhythmia Detection on MIT-BIH Arrhythmia Database
no code implementations • CVPR 2023 • Ehsan Pajouheshgar, Yitao Xu, Tong Zhang, Sabine Süsstrunk
Current Dynamic Texture Synthesis (DyTS) models can synthesize realistic videos.
1 code implementation • ECCV 2020 • Aishan Liu, Tairan Huang, Xianglong Liu, Yitao Xu, Yuqing Ma, Xinyun Chen, Stephen J. Maybank, DaCheng Tao
Adversarial attacks are valuable for providing insights into the blind-spots of deep learning models and help improve their robustness.
no code implementations • 16 Sep 2019 • Chongzhi Zhang, Aishan Liu, Xianglong Liu, Yitao Xu, Hang Yu, Yuqing Ma, Tianlin Li
In this paper, we first draw the close connection between adversarial robustness and neuron sensitivities, as sensitive neurons make the most non-trivial contributions to model predictions in the adversarial setting.