Instructors/Speakers Prof. Daniel P. K. LUN Department of Electronic and Information Engineering Hong Kong Polytechnic University Abstract In 3D computer graphics, the depth map of a scene is a dataset that provides information about the distance of the surfaces of scene objects from a viewpoint. Nowadays, we can effectively estimate the depth map of a scene using different hardware or software techniques. It is particularly the case with the recent high-end mobile devices which are all equipped with multiple cameras. The depth map can be estimated using different triangulation methods based on the multiple images captured by the cameras. Once the depth map is obtained, the next question is what we can do with such additional information of the scene. ...
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https://www.fst.um.edu.mo/wp-content/uploads/2020/04/sem20191128_01.jpg |
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Instructors/Speakers Dr. Kohta ASANO Senior Researcher of Senior Researcher of Research Institute of Energy Frontier National Institute of Advanced Industrial Science and Technology (AIST) Japan Abstract Metal hydrides have a number of properties that may be utilized to promote the use of hydrogen as an energy carrier. Those with a high hydrogen permeability can be applied as membranes for hydrogen separation, while the optical changes occurring in metal thin films upon hydrogenation can be used for hydrogen sensing. Even better known is the fact that the high volumetric density of hydrogen makes metal hydrides an attractive option to store energy. The applicability of metal hydrides for storage applications depends on its affinity to hydrogen which determines the equilibrium pressure for ...
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Instructors/Speakers Prof. Huai-Jun LIN Associate Professor of Institute of Advanced Wear & Corrosion Resistance and Functional Materials Jinan University China Abstract MgH2 has been widely considered as a promising candidate for hydrogen storage because it stores 7.6 wt% of hydrogen, however thermodynamics and kinetics for hydrogen absorption and desorption are not well satisfied. Abundant efforts have been devoted to prepare nanostructured Mg-based materials with enhanced hydrogen storage. Although kinetics improvements could be well achieved, thermodynamics issues are remained in Mg-based hydrogen storage materials. We attempted to prepare novel Mg-based amorphous alloys for hydrogen storage applications. The results could be summarized as follows: (1) A hydrogen-induced glass-to-glass transition in Mg-Ce-Ni amorphous alloys with a storage capacity of 5 wt%-H is reported. The ... |
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Instructors/Speakers Dr. Maria-Pilar BERNAL Research Director of FEMTO-ST (Franche-Comté Electronics Mechanics Thermal Science and Optics-Sciences and Technologies) Institute CNRS (National Scientific Research Center) France Abstract The optics community has used since decades lithium niobate material for various application like optical modulation, lasers, acousto-optical devices etc. Due to its multi-physical nature (it possesses high electro-optic, acousto-optical, photorefractive, pyroelectric, and nonlinear coefficients), it is rather straightforward to imagine a lithium niobate chip in which thousands of optical functions could be incorporated. In this talk, work that Dr. Bernal’s group at CNRS has been doing since the last 10 years in order to achieve this goal will be presented. Different active optical functions based on lithium niobate photonic crystals and plasmonic nanostructures combined ... |
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Instructors/Speakers Prof. Kin-Man LAM The Hong Kong Polytechnic University Abstract Facial aging variation is a major problem for face recognition systems, due to large intra-personal variations caused by age progression. A major challenge is to develop an efficient, discriminative feature representation and matching framework, which is robust to facial aging variations. In this talk, we will present a robust deep-feature encoding-based discriminative model for age-invariant face recognition. Our method learns high-level deep features using a pretrained deep-CNN model. These features are then encoded by learning a codebook with S codewords or atoms, which converts each of the features into a discriminant S-dimensional codeword for image representation. By incorporating the locality information in the whole learning process, a closed-form solution is ... |
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Instructors/Speakers Prof. Huaqiong LISchool of Biomedical EngineeringWenzhou Medical UniversityWengzhouChina Abstract Prof. Huaqiong LI is an Associate Professor at School of Biomedical Engineering of Wenzhou Medical University (WMU) and Principal Investigator at Wenzhou Institute, University of Chinese Academy of Science (Wenzhou Institute of Biomaterials and Engineering, WIBE). Before he joined WMU and WIBE in 2015, he worked in Singapore for two years after completing his PhD study in Nanyang Technological University. His current research interests are development of biomaterials using advanced technologies to guide cell behavior and then applied to the field of tissue engineering and regenerative medicine. In particular, he and his research team have been developing materials, mainly derived from natural extracellular matrix with attenuated immunogenicity, for application of ... |
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Instructors/Speakers Prof. Wenbo HE McMaster University Canada Abstract Nowadays, billions of videos are captured, hosted and shared in the cloud, and the world has stepped into a multimedia big data era. As an active and interdisciplinary research field, multimedia big data presents great challenges and opportunities for multimedia big data computing. A vast amount of research work has been done in image processing, targeting different aspects of big data analytics, such as the capture, storage, indexing, mining, and retrieval. However, when shifting the attention from images to videos, we are facing several challenges (e.g. it is more challenging to generate video features with temporal correlation; it is more challenging to get correctly labeled video samples for machine learning algorithms; etc.). ... |
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