Forbes Tips And Confidential Sources
Our investigative journalists rely on individuals with the courage to step forward when they become aware of serious wrongdoing.
Our investigative journalists rely on individuals with the courage to step forward when they become aware of serious wrongdoing.
In the deep learning era, long video generation of high-quality still remains challenging due to the spatio-temporal complexity and continuity of videos. Existing prior works have attempted to model video distribution by representing videos as 3D gri...
Hey folks, I want to raise awareness about a type of scam that’s become very common in NSFW-related Reddit threads. --- ? Summary: I encountered a Telegram user posting the usual bait: > ...
The creation of 3D human avatars from multi-view videos is a significant yet challenging task in computer vision. However, existing techniques rely on high-quality, sharp images as input, which are often impractical to obtain in real-world scenarios...
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Connect with millions of developers and technologists on Stack Overflow. Drive brand awareness, engagement, and demand with our proven advertising solutions.
Connect with millions of developers and technologists on Stack Overflow. Drive brand awareness, engagement, and demand with our proven advertising solutions.
Connect with millions of developers and technologists on Stack Overflow. Drive brand awareness, engagement, and demand with our proven advertising solutions.
Connect with millions of developers and technologists on Stack Overflow. Drive brand awareness, engagement, and demand with our proven advertising solutions.
Sadly, we are losing too many lives to suicide. WLUK FOX 11 is teaming up with experts in the field, with the mission of reducing the number of suicides that take place in Northeast Wisconsin each year. To accomplish this, we intend to increase public awareness of suicide and men…
This paper presents a new approach for the recognition of elements in floor plan layouts. Besides of elements with common shapes, we aim to recognize elements with irregular shapes such as circular rooms and inclined walls. Furthermore, the reduction...
In education, open-ended quiz questions have become an important tool for assessing the knowledge of students. Yet, manually preparing such questions is a tedious task, and thus automatic question generation has been proposed as a possible alternativ...
Head detection in the indoor video is an essential component of building occupancy detection. While deep models have achieved remarkable progress in general object detection, they are not satisfying enough in complex indoor scenes. The indoor surveil...
Federated Learning (FL) allows clients to train a model collaboratively without sharing their private data. One key challenge in practical FL systems is data heterogeneity, particularly in handling clients with rare data, also referred to as Maverick...
For your information (frequently abbreviated FYI) For your situational awareness (not as common, may be abbreviated FYSA) For reference For future reference For your information in the workplace …
This work summarizes the IJCB Occluded Face Recognition Competition 2022 (IJCB-OCFR-2022) embraced by the 2022 International Joint Conference on Biometrics (IJCB 2022). OCFR-2022 attracted a total of 3 participating teams, from academia. Eventually,...
We propose an uncertainty-aware service approach to provide drone-based delivery services called Drone-as-a-Service (DaaS) effectively. Specifically, we propose a service model of DaaS based on the dynamic spatiotemporal features of drones and their...
Smart cities are urban areas with sensor networks that collect data used towards efficient management. As a source of ubiquitous data, smart city initiatives present opportunities to enhance inhabitants' urban awareness. However, making sense of smar...
Neural fields have recently enjoyed great success in representing and rendering 3D scenes. However, most state-of-the-art implicit representations model static or dynamic scenes as a whole, with minor variations. Existing work on learning disentangle...
We propose a social network-aware approach to studying socio-economic segregation. The key question that we address is whether patterns of segregation are more pronounced in social networks than the common spatial neighborhood-focused manifestations...