Faceless person recognition: Privacy implications in social media
As we shift more of our lives into the virtual domain, the volume of data shared on the web
keeps increasing and presents a threat to our privacy. This works contributes to the …
keeps increasing and presents a threat to our privacy. This works contributes to the …
Pairwise similarity knowledge transfer for weakly supervised object localization
Abstract Weakly Supervised Object Localization (WSOL) methods only require image level
labels as opposed to expensive bounding box annotations required by fully supervised …
labels as opposed to expensive bounding box annotations required by fully supervised …
Text co-detection in multi-view scene
Multi-view scene analysis has been widely explored in computer vision, including numerous
practical applications. The texts in multi-view scenes are often detected by following the …
practical applications. The texts in multi-view scenes are often detected by following the …
Context-based abnormal object detection using the fully-connected conditional random fields
The contextual information plays an important role in computer vision, particularly in object
detection and scene understanding. The existing contextual models use only the …
detection and scene understanding. The existing contextual models use only the …
Learning to co-generate object proposals with a deep structured network
Generating object proposals has become a key component of modern object detection
pipelines. However, most existing methods generate the object candidates independently of …
pipelines. However, most existing methods generate the object candidates independently of …
Exploiting context based on CNN and coding representations for pedestrian co-detection
The exploitation of contextual information among multiple images has been proven
significant to improve detection performance by object co-detection methods. In this paper …
significant to improve detection performance by object co-detection methods. In this paper …
Object codetection based on a higher-order conditional random field
L Jiang, W Zhong, J Ji, H **ong - Journal of Electronic Imaging, 2019 - spiedigitallibrary.org
In recent years, codetecting objects through the use of contextual information across multiple
images has attracted considerable attention. We introduce an object codetection method …
images has attracted considerable attention. We introduce an object codetection method …
Improved Hough transform by modeling context with conditional random fields for partially occluded pedestrian detection
L Jiang, H **ong - Optical Engineering, 2018 - spiedigitallibrary.org
Traditional Hough transform-based methods detect objects by casting votes to object
centroids from object patches. It is difficult to disambiguate object patches from the …
centroids from object patches. It is difficult to disambiguate object patches from the …
[PDF][PDF] Deep Structured Models for Large Scale Object Co-detection and Segmentation
Z Hayder - 2017 - core.ac.uk
Structured decisions are often required for a large variety of image and scene understanding
tasks in computer vision, with few of them being object detection, localization, semantic …
tasks in computer vision, with few of them being object detection, localization, semantic …