View while moving: Efficient video recognition in long-untrimmed videos

Y Tian, M Yang, L Zhang, Z Zhang, Y Liu, X Xie… - Proceedings of the 31st …, 2023 - dl.acm.org
Recent adaptive methods for efficient video recognition mostly follow the two-stage
paradigm of" preview-then-recognition" and have achieved great success on multiple video …

[HTML][HTML] Deep learning based decoding of single local field potential events

A Schilling, R Gerum, C Boehm, J Rasheed, C Metzner… - NeuroImage, 2024 - Elsevier
How is information processed in the cerebral cortex? In most cases, recorded brain activity is
averaged over many (stimulus) repetitions, which erases the fine-structure of the neural …

The brain-inspired decoder for natural visual image reconstruction

W Li, S Zheng, Y Liao, R Hong, C He, W Chen… - Frontiers in …, 2023 - frontiersin.org
The visual system provides a valuable model for studying the working mechanisms of
sensory processing and high-level consciousness. A significant challenge in this field is the …

Cost-effective Modality Selection for Video Popularity Prediction

Y Liu, M Yang, Y Tian, L Zhang, X Que… - … Joint Conference on …, 2023 - ieeexplore.ieee.org
Video popularity prediction, also known as predicting the future popularity of a video, is a
task that generally uses various modalities of the video, such as visual, audio, text, and …

Multi-scale full spike pattern for semantic segmentation

Q Su, W He, X Wei, B Xu, G Li - Neural Networks, 2024 - Elsevier
Spiking neural networks (SNNs), as the brain-inspired neural networks, encode information
in spatio-temporal dynamics. They have the potential to serve as low-power alternatives to …

Deep learning based decoding of local field potential events

A Schilling, R Gerum, C Boehm, J Rasheed, C Metzner… - bioRxiv, 2022 - biorxiv.org
How is information processed in the cerebral cortex? To answer this question a lot of effort
has been undertaken to create novel and to further develop existing neuroimaging …

Transfer learning to decode brain states reflecting the relationship between cognitive tasks

Y Qu, X Jian, W Che, P Du, K Fu, Q Liu - International Workshop on …, 2022 - Springer
Transfer learning improves the performance of the target task by leveraging the data of a
specific source task: the closer the relationship between the source and the target tasks, the …

Dekódování vizuálních podnětů z kortikální aktivity pomocí neuronových sítí

S Jan - 2024 - dspace.cvut.cz
Tato práce zkoumá použití technik hlubokého učení pro rekonstrukci vizuálních podnětů z
neuronální aktivity v primární zrakové oblasti (V1). Zaměřuje se na překonání nedostatku …

Multilevel Product Classification Using Machine Learning Algorithms Sowjanya

RV Arjunan, DV Babu - … on Artificial Intelligence For Internet of …, 2024 - ieeexplore.ieee.org
Platforms for e-commerce commonly employ a preestablished, organized structure of
product classifications. Traditional product categorization methods have primarily relied on …