As one of the most popular data types, the point cloud is widely used in various appli- cations, including computer vision, computer graphics and robotics. The capability to directly measure 3D point clouds is invaluable in those applications as depth information could remove a lot of the segmentation ambiguities in...
This thesis consists of two major components. The first part is concerned with video object instance segmentation (VOS), which is the task of assigning per-pixel labels perframe of a video sequence to indicate foreground object instance membership, given the first frame ground truth mask. VOS has myriad applications, from video...
Mg batteries have potential advantages in terms of safety, cost, and reliability
over existing battery technologies, but their practical implementations are hindered
by the lack of amenable high-voltage cathode materials. The development
of cathode materials is complicated by limited understandings of the unique
divalent Mg²⁺ ion electrochemistry and the interaction/transportation...
Full Text:
, Xiulei Ji, B. Layla Mehdi, Kee Sung Han,
Mark H. Engelhard, GuoshengLi, Nigel D. Browning, Karl T
Mg batteries have potential advantages in terms of safety, cost, and reliability
over existing battery technologies, but their practical implementations are hindered
by the lack of amenable high-voltage cathode materials. The development
of cathode materials is complicated by limited understandings of the unique
divalent Mg²⁺ ion electrochemistry and the interaction/transportation...
Full Text:
,
Kee Sung Han , Mark H. Engelhard , GuoshengLi , Nigel D
Mg batteries have potential advantages in terms of safety, cost, and reliability over existing battery technologies, but their practical implementations are hindered by the lack of amenable high-voltage cathode materials. The development of cathode materials is complicated by limited understandings of the unique divalent Mg²⁺ ion electrochemistry and the interaction/transportation...
This dissertation addresses few-shot object segmentation in images. The goal of segmentation is to label every image pixel with a class of the object occupying that pixel, where the class may represent a semantic object category or instance. In few-shot segmentation, training and test datasets have different classes. Every new...
This dissertation addresses the problem of semantic labeling of image pixels. In the course of our work, we considered different types of semantic labels, including object classes (e.g., car, person), 3D depth values (in the range 0 to 80 meters), and affordance classes (e.g., walkable, sittable). Semantic pixel labeling is...
An impediment to use of exotic and bioengineered trees in many places is their propensity for spread by pollen and/or seeds. Our laboratory has been using gene editing to induce mutations in floral genes as means to impart stable and reliable genetic containment when this is desirable from social (markets,...
Geospatial data analysis is a multifaceted discipline encompassing the collection, processing, and visualization of diverse datasets. It models and delineates the interactions of people, objects, and phenomena within geographical spaces and predicts patterns based on the relationships between different locations. Despite significant advancements in geospatial data engineering and analytics over...
Efficient time-series analysis can impact multiple application domains such as motif discovery in gene analysis or music data, extracting spectro-temporal patterns in acoustic scene analysis, or annotating and classifying electrical bio-signals (such as ECG, EEG, and EMG) for medical applications.
Time-series analysis involves a variety of tasks.
To predict future...