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W-talc: Weakly-supervised temporal activity localization and classification
Most activity localization methods in the literature suffer from the burden of frame-wise
annotation requirement. Learning from weak labels may be a potential solution towards …
annotation requirement. Learning from weak labels may be a potential solution towards …
Learning to filter: Siamese relation network for robust tracking
Despite the great success of Siamese-based trackers, their performance under complicated
scenarios is still not satisfying, especially when there are distractors. To this end, we …
scenarios is still not satisfying, especially when there are distractors. To this end, we …
Visual object tracking—classical and contemporary approaches
Visual object tracking (VOT) is an important subfield of computer vision. It has widespread
application domains, and has been considered as an important part of surveillance and …
application domains, and has been considered as an important part of surveillance and …
[PDF][PDF] Architectural mismatch or why it's hard to build systems out of existing parts
D Garlan, R Allen, J Ockerbloom - … of the 17th international conference on …, 1995 - dl.acm.org
Many would argue that future breakthroughs in software productivity will depend on our
ability to combine existing pieces of software to produce new applications. An important step …
ability to combine existing pieces of software to produce new applications. An important step …
[HTML][HTML] Towards collaborative robotics in top view surveillance: A framework for multiple object tracking by detection using deep learning
Collaborative Robotics is one of the high-interest research topics in the area of academia
and industry. It has been progressively utilized in numerous applications, particularly in …
and industry. It has been progressively utilized in numerous applications, particularly in …
Modality-correlation-aware sparse representation for RGB-infrared object tracking
To intelligently analyze and understand video content, a key step is to accurately perceive
the motion of the interested objects in videos. To this end, the task of object tracking, which …
the motion of the interested objects in videos. To this end, the task of object tracking, which …
CNNTracker: Online discriminative object tracking via deep convolutional neural network
Y Chen, X Yang, B Zhong, S Pan, D Chen… - Applied Soft Computing, 2016 - Elsevier
Object appearance model is a crucial module for object tracking and numerous schemes
have been developed for object representation with impressive performance. Traditionally …
have been developed for object representation with impressive performance. Traditionally …
Weld seam profile detection and feature point extraction for multi-pass route planning based on visual attention model
Automatic multi-pass route planning is one of key technologies for thick plate in robotic metal
active gas (MAG) arc welding. In this research, a scheme for the extracting feature points of …
active gas (MAG) arc welding. In this research, a scheme for the extracting feature points of …
Survey of visual sentiment prediction for social media analysis
Recent years have witnessed a rapid spread of multi-modality microblogs like Twitter and
Sina Weibo composed of image, text and emoticon. Visual sentiment prediction of such …
Sina Weibo composed of image, text and emoticon. Visual sentiment prediction of such …
A cross-media public sentiment analysis system for microblog
Since classical public sentiment analysis systems for microblog are based on the text
sentiment analysis, it is difficult to determine the sentiment of short text without clear …
sentiment analysis, it is difficult to determine the sentiment of short text without clear …