Explore >> Select a destination


You are here

blogs.und.edu
| | fpdatcod.wordpress.com
10.9 parsecs away

Travel
| | Short(er) Reads Universal Design for Assessment Teachers Going Gradeless (8 min read)Lee Anns piece, Universal Design for Assessment, reminds us of the individuality of students. All students have their own strengths and challenges and the way we choose to assess can favor groups with particular skill sets. Giving students choices in how they show
| | www.cccoer.org
11.5 parsecs away

Travel
| | We are pleased to announce the new 2023-24 CCCOER Executive Council. They have hit the ground running this summer: leading the 3rd annual EDI summer book club, writing blogs, and holding summer conversations on course marking while also reviewing the findings from our 2023 annual members survey in p
| | osc.universityofcalifornia.edu
11.6 parsecs away

Travel
| | The eScholarship Publishing program of the University of California is pleased to announce the launch of Combinatorial Theory, a new mathematics journal expecting its first issue in Spring 2021. This journal will publish papers in Combinatorics, an active area of mathematical research with applications throughout the mathematical, computational and natural sciences. Combinatorial Theory is owned by mathematicians who believe in the importance of unfettered access to research as a means of engaging the global combinatorial community. As such, it is an open access publication, with no fees for authors or readers. Combinatorial Theory was founded in September 2020, when most [...]
| | kpzhang93.github.io
36.0 parsecs away

Travel
| Face detection and alignment in unconstrained environment are challenging due to various poses, illuminations and occlusions. Recent studies show that deep learning approaches can achieve impressive performance on these two tasks. In this paper, we propose a deep cascaded multi-task framework which exploits the inherent correlation between detection and alignment to boost up their performance. In particular, our framework leverages a cascaded architecture with three stages of carefully designed deep convolutional networks to predict face and landmark location in a coarse-to-fine manner. In addition, we propose a new online hard sample mining strategy that further improves the performance in practice. Our method achieves superior accuracy over the state-of-th...