As model finetuning is central to the modern NLP, we set to maximize its...
This work presents the first silicon-validated dedicated EGM-to-ECG (G2C...
Neural architecture search (NAS) has demonstrated amazing success in
sea...
We present a first-of-its-kind ultra-compact intelligent camera system,
...
Deep Neural Networks (DNNs) are known to be vulnerable to adversarial
at...
Deep learning approaches for semantic segmentation rely primarily on
sup...
Batch normalization (BN) is a key facilitator and considered essential f...
Semantic segmentation using convolutional neural networks (CNN) is a cru...
Semantic segmentation has achieved significant advances in recent years....
Optimizing the discriminator in Generative Adversarial Networks (GANs) t...
Generating images from word descriptions is a challenging task. Generati...
Using a layered representation for motion estimation has the advantage o...
This paper presents a novel approach for lecture video indexing using a
...