Zobrazeno 1 - 10
of 147
pro vyhledávání: '"Stephen J. Maybank"'
Publikováno v:
Journal of Mathematical Imaging and Vision. 65:302-322
Publikováno v:
IEEE Transactions on Circuits and Systems for Video Technology. 32:3490-3499
Single image haze removal, which is to recover the clear version of a hazy image, is a challenging trask in computer vision. In this paper, an additive haze model is proposed to approximate the hazy image formation process. In contrast with the tradi
Publikováno v:
International Journal of Computer Vision. 129:3313-3337
The 3D CAD shapes in current 3D benchmarks are mostly collected from online model repositories. Thus, they typically have insufficient geometric details and less informative textures, making them less attractive for comprehensive and subtle research
Publikováno v:
International Journal of Computer Vision. 129:1789-1819
In recent years, deep neural networks have been successful in both industry and academia, especially for computer vision tasks. The great success of deep learning is mainly due to its scalability to encode large-scale data and to maneuver billions of
Publikováno v:
IEEE Transactions on Vehicular Technology. 69:6943-6951
Abnormal driving may cause serious danger to both the driver and the public. Existing dectors of abnormal driving behaviour are mainly based on shallow models, which require large quantities of labelled data. The aquisition and labelling of abnormal
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence. 44(10)
Local features at neighboring spatial positions in feature maps have high correlation since their receptive fields are often overlapped. Self-attention usually uses the weighted sum (or other functions) with internal elements of each local feature to
Publikováno v:
International Journal of Computer Vision. 128:360-392
The multi-dimensional assignment problem is universal for data association analysis such as data association-based visual multi-object tracking and multi-graph matching. In this paper, multi-dimensional assignment is formulated as a rank-1 tensor app
Publikováno v:
Pattern Recognition. 85:1-12
Convolutional Neural Network based action recognition methods have achieved significant improvements in recent years. The 3D convolution extends the 2D convolution from operating on one single frame to a video clip, so it is able to extract effective
Regression-based face alignment involves learning a series of mapping functions to predict the true landmarks from an initial estimation of the alignment. Most existing approaches focus on learning efficacious mapping functions from some feature repr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a0e81b4de0ed68ba253f4d33915de42
https://eprints.bbk.ac.uk/id/eprint/43917/1/FaceAlignmentDPRv3.pdf
https://eprints.bbk.ac.uk/id/eprint/43917/1/FaceAlignmentDPRv3.pdf
Previous deep learning-based video stabilizers require a large scale of paired unstable and stable videos for training, which are difficult to collect. Traditional trajectory-based stabilizers, on the other hand, divide the task into several sub-task
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6f08d717432578c28910792df6904b0
http://arxiv.org/abs/2011.14574
http://arxiv.org/abs/2011.14574