Zobrazeno 1 - 10
of 5 161
pro vyhledávání: '"A Shakib"'
Autor:
Parmar, Vivek, Bane, Dwijay, Sarwar, Syed Shakib, Stangherlin, Kleber, De Salvo, Barbara, Suri, Manan
With the emergence of the Metaverse and focus on wearable devices in the recent years gesture based human-computer interaction has gained significance. To enable gesture recognition for VR/AR headsets and glasses several datasets focusing on egocentr
Externí odkaz:
http://arxiv.org/abs/2410.19486
Autor:
Augustin, Maximilian, Sarwar, Syed Shakib, Elhoushi, Mostafa, Zhang, Sai Qian, Li, Yuecheng, De Salvo, Barbara
Following their success in natural language processing (NLP), there has been a shift towards transformer models in computer vision. While transformers perform well and offer promising multi-tasking performance, due to their high compute requirements,
Externí odkaz:
http://arxiv.org/abs/2410.17661
Autor:
Zhao, Yiwei, Li, Ziyun, Khwa, Win-San, Sun, Xiaoyu, Zhang, Sai Qian, Sarwar, Syed Shakib, Stangherlin, Kleber Hugo, Lu, Yi-Lun, Gomez, Jorge Tomas, Seo, Jae-Sun, Gibbons, Phillip B., De Salvo, Barbara, Liu, Chiao
Low-Latency and Low-Power Edge AI is essential for Virtual Reality and Augmented Reality applications. Recent advances show that hybrid models, combining convolution layers (CNN) and transformers (ViT), often achieve superior accuracy/performance tra
Externí odkaz:
http://arxiv.org/abs/2410.08326
Autor:
Ahmed, Istiak, Hossain, Md. Tanzim, Nahid, Md. Zahirul Islam, Sanjid, Kazi Shahriar, Junayed, Md. Shakib Shahariar, Uddin, M. Monir, Khan, Mohammad Monirujjaman
This study presents an advanced approach to lumbar spine segmentation using deep learning techniques, focusing on addressing key challenges such as class imbalance and data preprocessing. Magnetic resonance imaging (MRI) scans of patients with low ba
Externí odkaz:
http://arxiv.org/abs/2409.06018
Autor:
Mustavee, Shakib, Agarwal, Shaurya
Self-similarity, a fractal characteristic of traffic flow dynamics, is widely recognized in transportation engineering and physics. However, its practical application in real-world traffic scenarios remains limited. Conversely, the traffic flow dynam
Externí odkaz:
http://arxiv.org/abs/2408.00870
This paper introduces a novel approach employing extreme value theory to analyze queue lengths within a corridor controlled by adaptive controllers. We consider the maximum queue lengths of a signalized corridor consisting of nine intersections every
Externí odkaz:
http://arxiv.org/abs/2408.00867
Deep learning has revolutionized medical imaging by providing innovative solutions to complex healthcare challenges. Traditional models often struggle to dynamically adjust feature importance, resulting in suboptimal representation, particularly in t
Externí odkaz:
http://arxiv.org/abs/2404.17235
Autor:
Sanjid, Kazi Shahriar, Hossain, Md. Tanzim, Junayed, Md. Shakib Shahariar, Uddin, Mohammad Monir
Integrating components from convolutional neural networks and state space models in medical image segmentation presents a compelling approach to enhance accuracy and efficiency. We introduce Mamba HUNet, a novel architecture tailored for robust and e
Externí odkaz:
http://arxiv.org/abs/2403.17432
Interferometric phase estimation is an essential tool for precise measurements of quantities such as displacement, velocity and material properties. The lower bound on measurement uncertainty achievable with classical resources is set by the shot-noi
Externí odkaz:
http://arxiv.org/abs/2402.19079
Road scene understanding is crucial in autonomous driving, enabling machines to perceive the visual environment. However, recent object detectors tailored for learning on datasets collected from certain geographical locations struggle to generalize a
Externí odkaz:
http://arxiv.org/abs/2401.07322