Abstract: With the growing popularity of high-resolution (HR) video and the continuous growth of network bandwidth, the challenge of object removal detection in HR videos has attracted significant ...

Hack the airwaves with some of the best tech of the 1980s ...

Flexible, power-efficient AI acceleration enables enterprises to deploy advanced workloads without disrupting existing data ...

In addition to the financial burdens of HEVC licensing, the risk of lawsuits from patent holders can deter companies from ...

This article presents a practical implementation of encrypted message exchange between two Raspberry Pi devices using a ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

multi-head self-attention + mean pooling. - A shared trunk combines all set representations with scalar features. - Each screen type has a head that produces context for action scoring.

This paper presents the design and FPGA implementation of a high-throughput BCH (n,k) encoder and decoder using a fully pipelined architecture. Unlike conventional designs based on finite state ...

Running powerful AI on your smartphone isn’t just a hardware problem — it’s a model architecture problem. Most state-of-the-art vision encoders are enormous, and when you trim them down to fit on an ...

The following results were collected using the benchmarks directory in this repository. The documents tested are real-world messages collected from the Archipelago client. Benchmark environment: ...