W-talc: Weakly-supervised temporal activity localization and classification

S Paul, S Roy… - Proceedings of the …, 2018 - openaccess.thecvf.com
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 …

Learning to filter: Siamese relation network for robust tracking

S Cheng, B Zhong, G Li, X Liu… - Proceedings of the …, 2021 - openaccess.thecvf.com
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 …

Visual object tracking—classical and contemporary approaches

A Ali, A Jalil, J Niu, X Zhao, S Rathore, J Ahmed… - Frontiers of Computer …, 2016 - Springer
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 …

[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 …

[HTML][HTML] Towards collaborative robotics in top view surveillance: A framework for multiple object tracking by detection using deep learning

I Ahmed, S Din, G Jeon, F Piccialli… - IEEE/CAA Journal of …, 2021 - ieee-jas.net
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 …

Modality-correlation-aware sparse representation for RGB-infrared object tracking

X Lan, M Ye, S Zhang, H Zhou, PC Yuen - Pattern Recognition Letters, 2020 - Elsevier
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 …

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 …

Weld seam profile detection and feature point extraction for multi-pass route planning based on visual attention model

Y He, Y Xu, Y Chen, H Chen, S Chen - Robotics and Computer-Integrated …, 2016 - Elsevier
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 …

Survey of visual sentiment prediction for social media analysis

R Ji, D Cao, Y Zhou, F Chen - Frontiers of Computer Science, 2016 - Springer
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 …

A cross-media public sentiment analysis system for microblog

D Cao, R Ji, D Lin, S Li - Multimedia Systems, 2016 - Springer
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 …