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Found 12 papers, 3 papers with code
Ancient Coin Classification Using Graph Transduction Games
Experiments are conducted on the only publicly available dataset which is composed of 180 images of 60 types of Roman coins.
Compressively Sensed Image Recognition
Recent literature works show that compressive image classification is possible in CS domain without reconstruction of the signal.
The Importance of Socio-Cultural Differences for Annotating and Detecting the Affective States of Students
One open question in annotating affective data for affect detection is whether the labelers (i. e., human experts) need to be socio-culturally similar to the students being labeled, as this impacts the cost feasibility of obtaining the labels.
Detecting Behavioral Engagement of Students in the Wild Based on Contextual and Visual Data
To investigate the detection of students' behavioral engagement (On-Task vs. Off-Task), we propose a two-phase approach in this study.
Unobtrusive and Multimodal Approach for Behavioral Engagement Detection of Students
We propose a multimodal approach for detection of students' behavioral engagement states (i. e., On-Task vs. Off-Task), based on three unobtrusive modalities: Appearance, Context-Performance, and Mouse.
Unsupervised Domain Adaptation using Graph Transduction Games
Unsupervised domain adaptation (UDA) amounts to assigning class labels to the unlabeled instances of a dataset from a target domain, using labeled instances of a dataset from a related source domain.
Weakly Supervised Semantic Segmentation Using Constrained Dominant Sets
The availability of large-scale data sets is an essential pre-requisite for deep learning based semantic segmentation schemes.
CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation
The analysis shows that the performance of DL models for single modality (CT / MR) can show reliable volumetric analysis performance (DICE: 0. 98 $\pm$ 0. 00 / 0. 95 $\pm$ 0. 01) but the best MSSD performance remain limited (21. 89 $\pm$ 13. 94 / 20. 85 $\pm$ 10. 63 mm).
EEG based Major Depressive disorder and Bipolar disorder detection using Neural Networks: A review
Mental disorders represent critical public health challenges as they are leading contributors to the global burden of disease and intensely influence social and financial welfare of individuals.
Transductive Visual Verb Sense Disambiguation
Verb Sense Disambiguation is a well-known task in NLP, the aim is to find the correct sense of a verb in a sentence.
Identifying centres of interest in paintings using alignment and edge detection: Case studies on works by Luc Tuymans
What is the creative process through which an artist goes from an original image to a painting?
Reassembling Broken Objects using Breaking Curves
Results show that our solution performs well in reassembling different kinds of broken objects.
