![Loading...](https://link.springer.com/static/c4a417b97a76cc2980e3c25e2271af3129e08bbe/images/pdf-preview/spacer.gif)
-
Chapter and Conference Paper
Multi-media e-Learning Platform Using Green Design with Near-Real Approach
The most of e-Learning and video conference platform receives the limitation of population and the file format, the inconvenience to the users, and requirement of specific software. This paper proposes an effe...
-
Chapter and Conference Paper
The Experience of Adopting Game-Based Learning in Library Instruction
The research is based on the course of library instruction and also a pilot study before adopting game-based learning into real library instruction course. The difficulty of the research is how we can make the...
-
Chapter and Conference Paper
An Improved Adaptive Smoothing Method
An improvement of the Chen’s method has been provided through the calculation of a more accurate H map. The H map is the pixel’s contextual inhomogeneity value reflecting its proximity position with respect to...
-
Chapter and Conference Paper
The Sixth Visual Object Tracking VOT2018 Challenge Results
The Visual Object Tracking challenge VOT2018 is the sixth annual tracker benchmarking activity organized by the VOT initiative. Results of over eighty trackers are presented; many are state-of-the-art trackers...
-
Article
Trapezoid-structured LSTM with segregated gates and bridge joints for video frame inpainting
This work considers the video frame inpainting problem, where several former and latter frames are given, and the goal is to predict the middle frames. The state-of-the-art solution has applied bidirectional l...
-
Article
HAPiCLR: heuristic attention pixel-level contrastive loss representation learning for self-supervised pretraining
Recent self-supervised contrastive learning methods are powerful and efficient for robust representation learning, pulling semantic features from different crop** views of the same image while pushing other ...