no code implementations • 16 May 2023 • Zitang Sun, Yen-ju Chen, Yung-hao Yang, Shin'ya Nishida
This model architecture aims to capture the computations in V1-MT, the core structure for motion perception in the biological visual system, while providing the ability to derive informative motion flow for a wide range of stimuli, including complex natural scenes.
no code implementations • 14 Apr 2023 • Zitang Sun, Shin'ya Nishida, Zhengbo Luo
For visual estimation of optical flow, a crucial function for many vision tasks, unsupervised learning, using the supervision of view synthesis has emerged as a promising alternative to supervised methods, since ground-truth flow is not readily available in many cases.