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of 19
pro vyhledávání: '"Iftekhar, A S M"'
The increasing complexity of modern deep neural network models and the expanding sizes of datasets necessitate the development of optimized and scalable training methods. In this white paper, we addressed the challenge of efficiently training neural
Externí odkaz:
http://arxiv.org/abs/2310.10879
Scene-graph generation involves creating a structural representation of the relationships between objects in a scene by predicting subject-object-relation triplets from input data. However, existing methods show poor performance in detecting triplets
Externí odkaz:
http://arxiv.org/abs/2301.07666
Publikováno v:
International Journal of Computer Vision 2023
Each year, underwater remotely operated vehicles (ROVs) collect thousands of hours of video of unexplored ocean habitats revealing a plethora of information regarding biodiversity on Earth. However, fully utilizing this information remains a challeng
Externí odkaz:
http://arxiv.org/abs/2206.00718
We propose a novel one-stage Transformer-based semantic and spatial refined transformer (SSRT) to solve the Human-Object Interaction detection task, which requires to localize humans and objects, and predicts their interactions. Differently from prev
Externí odkaz:
http://arxiv.org/abs/2204.00746
The human-object interaction (HOI) detection task refers to localizing humans, localizing objects, and predicting the interactions between each human-object pair. HOI is considered one of the fundamental steps in truly understanding complex visual sc
Externí odkaz:
http://arxiv.org/abs/2108.00596
Autor:
Kumar, Satish, Iftekhar, A S M, Goebel, Michael, Bullock, Tom, MacLean, Mary H., Miller, Michael B., Santander, Tyler, Giesbrecht, Barry, Grafton, Scott T., Manjunath, B. S.
Precise measurement of physiological signals is critical for the effective monitoring of human vital signs. Recent developments in computer vision have demonstrated that signals such as pulse rate and respiration rate can be extracted from digital vi
Externí odkaz:
http://arxiv.org/abs/2011.09540
Comprehensive visual understanding requires detection frameworks that can effectively learn and utilize object interactions while analyzing objects individually. This is the main objective in Human-Object Interaction (HOI) detection task. In particul
Externí odkaz:
http://arxiv.org/abs/2003.05541
Autor:
Nahian, Mohaiminul Al, Iftekhar, A. S. M., Islam, Mohammad Tariqul, Rahman, S. M. Mahbubur, Hatzinakos, Dimitrios
In the Internet, ubiquitous presence of redundant, unedited, raw videos has made video summarization an important problem. Traditional methods of video summarization employ a heuristic set of hand-crafted features, which in many cases fail to capture
Externí odkaz:
http://arxiv.org/abs/1708.07023
Autor:
Boakye, Ellen1,2, Iftekhar Uddin, S. M.3, Osuji, Ngozi4, Meinert, Jill5, Obisesan, Olufunmilayo H.6, Mirbolouk, Mohammadhassan1, Tasdighi, Erfan1, El-Shahawy, Omar2,7, Erhabor, John1,2, Osei, Albert D.6, Rajan, Tanuja1, Patatanian, Michael8, Holbrook, Janet T.5, Bhatnagar, Aruni2,9, Biswal, Shyam S.10, Blaha, Michael J.1,2 mblaha1@jhmi.edu
Publikováno v:
Tobacco Induced Diseases. Jun2023, Vol. 21, p1-11. 18p.
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