Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Blanton, Hunter"'
This work addresses the task of overhead image segmentation when auxiliary ground-level images are available. Recent work has shown that performing joint inference over these two modalities, often called near/remote sensing, can yield significant acc
Externí odkaz:
http://arxiv.org/abs/2204.01807
Autor:
Workman, Scott, Blanton, Hunter
Modern cameras are equipped with a wide array of sensors that enable recording the geospatial context of an image. Taking advantage of this, we explore depth estimation under the assumption that the camera is geocalibrated, a problem we refer to as g
Externí odkaz:
http://arxiv.org/abs/2109.09879
Estimating camera pose from a single image is a fundamental problem in computer vision. Existing methods for solving this task fall into two distinct categories, which we refer to as direct and indirect. Direct methods, such as PoseNet, regress pose
Externí odkaz:
http://arxiv.org/abs/2012.12360
Autor:
Xing, Xin, Liang, Gongbo, Blanton, Hunter, Rafique, Muhammad Usman, Wang, Chris, Lin, Ai-Ling, Jacobs, Nathan
We propose to apply a 2D CNN architecture to 3D MRI image Alzheimer's disease classification. Training a 3D convolutional neural network (CNN) is time-consuming and computationally expensive. We make use of approximate rank pooling to transform the 3
Externí odkaz:
http://arxiv.org/abs/2012.00119
Artifacts in imagery captured by remote sensing, such as clouds, snow, and shadows, present challenges for various tasks, including semantic segmentation and object detection. A primary challenge in developing algorithms for identifying such artifact
Externí odkaz:
http://arxiv.org/abs/2007.15144
Roadway free-flow speed captures the typical vehicle speed in low traffic conditions. Modeling free-flow speed is an important problem in transportation engineering with applications to a variety of design, operation, planning, and policy decisions o
Externí odkaz:
http://arxiv.org/abs/2006.08021
Automated methods for breast cancer detection have focused on 2D mammography and have largely ignored 3D digital breast tomosynthesis (DBT), which is frequently used in clinical practice. The two key challenges in developing automated methods for DBT
Externí odkaz:
http://arxiv.org/abs/2002.12314
Autor:
Liang, Gongbo, Wang, Xiaoqin, Zhang, Yu, Xing, Xin, Blanton, Hunter, Salem, Tawfiq, Jacobs, Nathan
Breast cancer is the malignant tumor that causes the highest number of cancer deaths in females. Digital mammograms (DM or 2D mammogram) and digital breast tomosynthesis (DBT or 3D mammogram) are the two types of mammography imagery that are used in
Externí odkaz:
http://arxiv.org/abs/2002.12392
Looking at the world from above, it is possible to estimate many properties of a given location, including the type of land cover and the expected land use. Historically, such tasks have relied on relatively coarse-grained categories due to the diffi
Externí odkaz:
http://arxiv.org/abs/1909.06928
We propose an automated method to estimate a road segment's free-flow speed from overhead imagery and road metadata. The free-flow speed of a road segment is the average observed vehicle speed in ideal conditions, without congestion or adverse weathe
Externí odkaz:
http://arxiv.org/abs/1906.10104