Browsing Department of Computer Science and Engineering by Author "Athitsos, Vassilis"
Now showing items 1-20 of 32
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Applications of deep learning in large-scale object detection and semantic segmentation
Xiang, Wei (2018-08-13)With the massive storage of multimedia data and increasing computational power of mobile devices, developing scalable computer vision applications has become the primary motivation for both research and industrial community. ... -
Artificial Intelligence For Cognitive Behavior Assessment In Children
Gattupalli, Srujana (2018-06-25)Cognitive impairments in early childhood can lead to poor academic performance and require proper remedial intervention at the appropriate time. ADHD affects about 6-7% of children and is a psychiatric neurodevelopmental ... -
Computer Vision Methods for Sign Language and Cognitive Evaluation through Physical Tasks
Dillhoff, Alex J (2020-08-05)Analyzing human motion is vital for a multitude of tasks including human-computer interaction, sign language recognition, and the assessment of cognitive disorders. Providing automatic assessments for cognitive disorders ... -
CONTINUOUS AMERICAN SIGN LANGUAGE TRANSLATION WITH ENGLISH SPEECH SYNTHESIS USING ENCODER-DECODER APPROACH
Ganesh, Preetham; 0000-0002-5655-3777 (2021-05-09)Interaction between human beings brings about improvements in science and technology. However, the interaction is limited for people who are deaf or hard-of-hearing, as they can only communicate with others who also know ... -
Deep Learning for Recognition of Objects, Activities, Faces, and Spatio-Temporal Patterns
Ghaderi, AmirA popular method in machine learning is Convolutional Neural Network (CNN). CNN had was of high interest to the research community in the 1990s, but after that its popularity receded compared to the Support Vector Machine ... -
DEEP LEARNING METHODS FOR IMAGE RESTORATION AND RECONSTRUCTION
Anvari, Zahra (2021-04-19)The problem of image reconstruction and restoration refers to recovering the clean images from corrupted ones. Corruption or degradation can occur due to atmospheric conditions such as rain, fog, mist, snow, dust, and air ... -
DEEPSIGN: A DEEP-LEARNING ARCHITECTURE FOR SIGN LANGUAGE
Shah, Jai Amrish; 0000-0002-1381-6581 (2018-11-13)Sign languages are used by deaf people for communication. In sign languages, humans use hand gestures, body, facial expressions and movements to convey meaning. Humans can easily learn and understand sign languages, but ... -
Detection Of Fingers With A Depth Based Hand-detector In Static Frames
Vasudeva Iyer, Sanjay (Computer Science & Engineering, 2013-10-23)This thesis presents a method for a finger detection system. It is assumed that the user taps their fingers on a table, and that the camera is placed on the same table in front of their fingers. This setup is motivated by ... -
DOMAIN ADAPTIVE TRANSFER LEARNING FOR VISUAL CLASSIFICATION
Imran, Ashiq; 0000-0001-5095-7757 (2021-08-16)Deep Neural Networks have made a significant impact on many computer vision applications with large-scale labeled datasets. However, in many applications, it is expensive and time-consuming to gather large-scale labeled ... -
DWRELU : DOUBLE WEIGHTED RECTIFIER LINEAR UNIT AN ACTIVATION FUNCTION WITH TRAINABLE SCALING PARAMETER
Trivedi, Bhaskar Chandra (2018-11-14)Deep Neural Network have become very popular for computer vision application in recent years. At the same time, it remains important to understand the different implementation choices that need to be made when designing a ... -
EARLY DETECTION OF GLAUCOMA USING MODIFIED RESIDUAL U-NET CONVOLUTIONAL NEURAL NETWORK
Theetharappan, Balasubramaniam; 0000-0002-1688-3798 (2020-12-07)Glaucoma is the second leading cause of blindness all over the world, with apparently 75 million cases reported worldwide in 2018. If it’s not diagnosed at an early stage, glaucoma may cause irreversible damage to the optic ... -
Efficient Network Design for High Dimensional Data
Miao, Xin; 0000-0002-7891-1627 (2020-05-14)Due to the powerful feature representation capabilities, deep learning has became a powerful tool in the field of computer vision. Especially in the aspect of high-dimensional images, deep learning can achieve fast inference ... -
GAN-Based Domain Translation for Hand Pose Estimation and Face Reconstruction
Farahanipad, Farnaz (2022-08-05)Deep learning solutions for hand pose estimation are now very reliant on comprehensive datasets covering diverse camera perspectives, lighting conditions, shapes, and pose variations. Since, acquiring such datasets is a ... -
HAND ANALYSIS FROM DEPTH IMAGES
Rezaei, Mohammad (2022-08-23)Hand analysis using vision systems is necessary for interaction between people and digital devices and thus is crucial in many applications relating to computer vision and human computer interaction (HCI). The proposed ... -
Hand-Over-Face Segmentation
Ghanem, Sakher (2020-08-04)Accurate hand segmentation is vital in many applications in which the hands play a central role, such as sign language recognition, action recognition, and gesture recognition. A relatively unexplored obstacle to correct ... -
Handling Periodic Signs In American Sign Language Using Synthetic Generation Of Periods
Pahwa, Himanshu (Computer Science & Engineering, 2011-03-03)American Sign Language (or ASL) is the dominant sign language of deaf people in United States and parts of Canada. 500,000 to 2 million people use ASL as their primary language in United States. ASL uses hands, face and ... -
Human Behavior Modeling in Long Videos: Drowsiness Detection and Action Segmentation
Ghoddoosian, Reza; 0000-0001-9081-9252 (2022-05-09)"In this thesis we focus on two instances of human behavior modeling in long untrimmed videos: drowsiness detection, and action segmentation. In the first section, we focus on drowsiness detection. Specifically, we introduce ... -
iGait: Vision-based Low-Cost, Reliable Machine Learning Framework for Gait Abnormality Detection
Sayed, Saif; 0000-0002-4270-7616 (2017-12-20)Human gait has shown to be a strong indicator of health issues under a wide variety of conditions. For that reason, gait analysis has become a powerful tool for clinicians to assess functional limitations due to neurological ... -
Improving Accuracy in Large Vocabulary Sign Search Systems
Conly, Christopher; 0000-0002-4439-5118 (2016-08-26)An automated computer vision-based dictionary system for looking up the meaning of signs can be an invaluable tool both for students and native users of sign languages. Students may not know the meaning of a sign they ... -
Improving Gesture Recognition Performance Using The Dynamic Space-time Warp Algorithm
Hanson, Danny Allen (Computer Science & Engineering, 2013-07-22)The DSTW algorithm was originally used as the fundamental algorithm for a gesture recognition software. When the need arose for implementing gesture recognition on-board a robotic vehicle, the original recognition software ...