Recently, the power of unconditional image synthesis has significantly advanced through the use of Generative Adversarial Networks (GANs). The task of inverting an image into its corresponding latent ...

Neural encoding is the study of how neurons represent information with electrical activity (action potentials) at the level of individual cells or in networks of neurons. Studies of neural encoding ...

RECALL ALERT: There are 2 recalls on this vehicle. Learn More. There are 2 recalls on this vehicle. Learn More. RECALL ALERT: There are 2 recalls on this vehicle ...

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HIGHS Good value for the money, tranquil cabin, better-than-mainstream interior trimmings. LOWS Oddly-shaped infotainment touchscreen, lackluster acceleration. VERDICT The 2025 Encore GX subcompact ...

We propose an encoder-decoder for open-vocabulary semantic segmentation comprising a hierarchical encoder-based cost map generation and a gradual fusion decoder. We introduce a category early ...

Abstract: Recent deep learning methods for vessel trajectory prediction are able to learn complex maritime patterns from historical automatic identification system (AIS) data and accurately predict ...

Abstract: Change detection is a critical task in earth observation applications. Recently, deep-learning-based methods have shown promising performance and are quickly adopted in change detection.

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Power Center for the Performing Arts (2/5 - 2/8) ...