Robuta

https://www.mdpi.com/2073-4441/16/24/3543
A comprehensive understanding of the spatial and temporal distribution of fish and their relationship with aquatic environments is essential for assessing...
spatialtemporaldistributionpatternsfish
https://arxiv.org/abs/2011.01603
Abstract page for arXiv paper 2011.01603: A Deep Temporal Fusion Framework for Scene Flow Using a Learnable Motion Model and Occlusions
deep temporalfusionframeworksceneflow
https://www.mdpi.com/2072-4292/15/11/2834
Since individual neural networks have limited deep expressiveness and effectiveness, many learning frameworks face difficulties in the availability and balance...
visual collaborativedeep networkchange detectionmvcdn
https://openreview.net/forum?id=Y93F5eNmZG&referrer=%5Bthe%20profile%20of%20Maziar%20Raissi%5D(%2Fprofile%3Fid%3D~Maziar_Raissi1)
The Log-Periodic Power Law Singularity (LPPLS) model offers a general framework for capturing dynamics and predicting transition points in diverse natural and...
critical pointsdeepforecastingtemporalnatural
https://deepai.org/publication/deep-spatial-gradient-and-temporal-depth-learning-for-face-anti-spoofing
03/18/20 - Face anti-spoofing is critical to the security of face recognition systems. Depth supervised learning has been proven as one of th...
spatial gradientdeeptemporaldepthlearning
https://deepai.org/publication/deep-neural-networks-predict-hierarchical-spatio-temporal-cortical-dynamics-of-human-visual-object-recognition
01/12/16 - The complex multi-stage architecture of cortical visual pathways provides the neural basis for efficient visual object recognition...
deep neural networkspredicthierarchicaltemporalcortical
https://elifesciences.org/articles/66276
Signals recorded directly from human anterior temporal cortex reveal that the brain represents animacy information using a distributed code that changes...
evidencedeepdistributeddynamiccode