Unmanned aerial vehicles (uavs): Collision avoidance systems and approaches
Moving towards autonomy, unmanned vehicles rely heavily on state-of-the-art collision
avoidance systems (CAS). A lot of work is being done to make the CAS as safe and reliable …
avoidance systems (CAS). A lot of work is being done to make the CAS as safe and reliable …
Pedestrian detection: An evaluation of the state of the art
Pedestrian detection is a key problem in computer vision, with several applications that have
the potential to positively impact quality of life. In recent years, the number of approaches to …
the potential to positively impact quality of life. In recent years, the number of approaches to …
A convolutional neural network cascade for face detection
In real-world face detection, large visual variations, such as those due to pose, expression,
and lighting, demand an advanced discriminative model to accurately differentiate faces …
and lighting, demand an advanced discriminative model to accurately differentiate faces …
Cornernet-lite: Efficient keypoint based object detection
Keypoint-based methods are a relatively new paradigm in object detection, eliminating the
need for anchor boxes and offering a simplified detection framework. Keypoint-based …
need for anchor boxes and offering a simplified detection framework. Keypoint-based …
[HTML][HTML] Multimodal and multiscale deep neural networks for the early diagnosis of Alzheimer's disease using structural MR and FDG-PET images
Alzheimer's Disease (AD) is a progressive neurodegenerative disease where biomarkers for
disease based on pathophysiology may be able to provide objective measures for disease …
disease based on pathophysiology may be able to provide objective measures for disease …
xview: Objects in context in overhead imagery
We introduce a new large-scale dataset for the advancement of object detection techniques
and overhead object detection research. This satellite imagery dataset enables research …
and overhead object detection research. This satellite imagery dataset enables research …
Survey of pedestrian detection for advanced driver assistance systems
Advanced driver assistance systems (ADASs), and particularly pedestrian protection
systems (PPSs), have become an active research area aimed at improving traffic safety. The …
systems (PPSs), have become an active research area aimed at improving traffic safety. The …
[PDF][PDF] The fastest pedestrian detector in the west.
We demonstrate a multiscale pedestrian detector operating in near real time (∼ 6 fps on
640x480 images) with state-of-the-art detection performance. The computational bottleneck …
640x480 images) with state-of-the-art detection performance. The computational bottleneck …
Classification using intersection kernel support vector machines is efficient
Straightforward classification using kernelized SVMs requires evaluating the kernel for a test
vector and each of the support vectors. For a class of kernels we show that one can do this …
vector and each of the support vectors. For a class of kernels we show that one can do this …
Human detection using partial least squares analysis
WR Schwartz, A Kembhavi… - 2009 IEEE 12th …, 2009 - ieeexplore.ieee.org
Significant research has been devoted to detecting people in images and videos. In this
paper we describe a human detection method that augments widely used edge-based …
paper we describe a human detection method that augments widely used edge-based …