Feature representation for statistical-learning-based object detection: A review
Statistical-learning-based object detection is an important topic in computer vision. It learns
visual representation from annotated exemplars to identify semantic defined objects in …
visual representation from annotated exemplars to identify semantic defined objects in …
Salient color names for person re-identification
Color naming, which relates colors with color names, can help people with a semantic
analysis of images in many computer vision applications. In this paper, we propose a novel …
analysis of images in many computer vision applications. In this paper, we propose a novel …
What makes an image popular?
Hundreds of thousands of photographs are uploaded to the internet every minute through
various social networking and photo sharing platforms. While some images get millions of …
various social networking and photo sharing platforms. While some images get millions of …
[PDF][PDF] Filtered channel features for pedestrian detection.
This paper starts from the observation that multiple top performing pedestrian detectors can
be modelled by using an intermediate layer filtering low-level features in combination with a …
be modelled by using an intermediate layer filtering low-level features in combination with a …
Social sensing from street-level imagery: A case study in learning spatio-temporal urban mobility patterns
Street-level imagery has covered the comprehensive landscape of urban areas. Compared
to satellite imagery, this new source of image data has the advantage in fine-grained …
to satellite imagery, this new source of image data has the advantage in fine-grained …
Computer-aided classification of gastrointestinal lesions in regular colonoscopy
We have developed a technique to study how good computers can be at diagnosing
gastrointestinal lesions from regular (white light and narrow banded) colonoscopic videos …
gastrointestinal lesions from regular (white light and narrow banded) colonoscopic videos …
Automated taxonomic identification of insects with expert-level accuracy using effective feature transfer from convolutional networks
Rapid and reliable identification of insects is important in many contexts, from the detection
of disease vectors and invasive species to the sorting of material from biodiversity …
of disease vectors and invasive species to the sorting of material from biodiversity …
Good practice in CNN feature transfer
The objective of this paper is the effective transfer of the Convolutional Neural Network
(CNN) feature in image search and classification. Systematically, we study three facts in …
(CNN) feature in image search and classification. Systematically, we study three facts in …
Fine-grained categorization by alignments
The aim of this paper is fine-grained categorization without human interaction. Different from
prior work, which relies on detectors for specific object parts, we propose to localize …
prior work, which relies on detectors for specific object parts, we propose to localize …
Menu-match: Restaurant-specific food logging from images
Logging food and calorie intake has been shown to facilitate weight management.
Unfortunately, current food logging methods are time-consuming and cumbersome, which …
Unfortunately, current food logging methods are time-consuming and cumbersome, which …