Search Results for author:
Found 3 papers, 0 papers with code
Modelling Human Visual Motion Processing with Trainable Motion Energy Sensing and a Self-attention Network
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.
Unsupervised Learning Optical Flow in Multi-frame Dynamic Environment Using Temporal Dynamic Modeling
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.
Rethinking ResNets: Improved Stacking Strategies With High Order Schemes
We show that the widely used DNN design strategy, constantly stacking a small design (usually 2-3 layers), could be easily improved, supported by solid theoretical knowledge and with no extra parameters needed.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
