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Deep learning approach to discontinuity-preserving image registration
(2020-05-01)
Image registration is an indispensable tool in medical image analysis. Traditionally, registration algorithms are aimed at aligning image pairs using regularizers to impose smoothness restrictions on unknown deformation ...
Enhanced knowledge distillation by auxiliary classifiers
(2021-08-01)
Deep neural models have shown promising results in various areas, e.g., computer vision and natural language processing, at the cost of high computation and storage resource consumption. These characteristics of deep neural ...
Yield estimation and smart harvesting for precision agriculture using deep learning
(2021-08-01)
Precision agriculture is one of the fastest growing fields in recent years. In this thesis, we introduce a framework that provides farmers with a yield estimation from videos of crops and provides guided assistance for ...
Design and evaluation of a hybrid multi-task learning model for optimizing deep reinforcement learning agents
(2021-04-01)
Driven by recent technological advancements within the artificial intelligence domain, deep learning has emerged as a promising representation learning technique. This in turn has given rise to the evolution of deep ...
JoVA-hinge: joint variational autoencoders for personalized recommendation with implicit feedback
(2020-12-01)
Recently, Variational Autoencoders (VAEs) have shown remarkable performance in collaborative filtering (CF) with implicit feedback. These existing recommendation models learn user representations to reconstruct or predict ...
Comparative analysis of deep learning and graph cut algorithms for cell image segmentation
(2020-08-01)
Image segmentation is a commonly used technique in digital image processing with many applications in the area of computer vision and medical image analysis. The goal of image segmentation is to partition an image into ...
Group representation learning for group recommendation
(2021-01-01)
Group recommender systems facilitate group decision making for a set of individuals (e.g., a group of friends, a team, a corporation, etc.). Existing group recommendation methods mostly learn group members' individual ...
On deep learning in physics
(2021-04-01)
Machine learning, and most notably deep neural networks, have seen unprecedented success in recent years due to their ability to learn complex nonlinear mappings by ingesting large amounts of data through the process of ...
Developing a mobile manipulation system to handle unknown and unstructured objects
(2021-04-01)
The exceptional human’s ability to interact with unknown objects based on minimal prior experience is a permanent inspiration to the field of robotic manipulation. The recent revolution in industrial and service robots ...
Segregation similarity loss in morphological ranking of image search in histopathology
(2022-04-01)
Histopathology is the study of changes in tissue caused by diseases such as cancer. It plays an important role to diagnose the cancers. Regarding the large variation of many cancers types, and the large size of Whole Slide ...