A college dorm’s attempt to ‘catch a predator’ was disastrous. The fallout has changed lives — and isn’t over. A dorm room sting at Assumption University started as a bad idea among students and ...
What really happened to Amelia Earhart? Legendary aviator Amelia Earhart and her plane vanished in 1937. Today, explorers are still venturing into the unknown to solve the mystery of her disappearance ...
Take a look back at all the happenings from every NBA All-Star in league history from 1950-2026. The Spurs roll on, Kon Knueppel makes history and we reflect on an iconic Stephen Curry moment and ...
Abstract: Visual Question Answering (VQA) is a multimodal task involving Computer Vision (CV) and Natural Language Processing (NLP), the goal is to establish a high-efficiency VQA model. Learning a ...
This shows a change in the value or rate of a financial instrument Charlene Rhinehart is a CPA , CFE, chair of an Illinois CPA Society committee, and has a degree in accounting and finance from DePaul ...
Abstract: In this work, we propose a Wavelet-based Deep Auto Encoder-Decoder Network (WDAED) based image compression which takes care of the various frequency components present in an image.
This software reads a rotary encoder with the Raspberry Pi Pico using PIO code. The rotary encoder that is used is an optical encoder with very clean signals on its output, called A and B, so ...
Abstract: Accurate acquisition of 3-D human joint poses holds significant implications for tasks such as human action recognition. Monocular single-frame 2-D -to-3-D pose estimation focuses on ...
Abstract: Intelligent reflecting surface (IRS) is an enabling technology to engineer the radio signal propagation in wireless networks. By smartly tuning the signal reflection via a large number of ...
The pretrain-finetune paradigm has achieved great success in NLP and 2D image fields because of the high-quality representation ability and transferability of their pretrained models. However, ...
Abstract: Light detection and ranging (LiDAR) point cloud denoising is critical for reliable environmental perception in autonomous driving and robotics. To overcome the lack of real-noise datasets ...
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