Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Brogan, Joel"'
Autor:
Aykac, Deniz, Brogan, Joel, Barber, Nell, Shivers, Ryan, Zhang, Bob, Sacca, Dallas, Tipton, Ryan, Jager, Gavin, Garret, Austin, Love, Matthew, Goddard, Jim, Cornett III, David, Bolme, David S.
The considerable body of data available for evaluating biometric recognition systems in Research and Development (R\&D) environments has contributed to the increasingly common problem of target performance mismatch. Biometric algorithms are frequentl
Externí odkaz:
http://arxiv.org/abs/2409.01540
Signal analysis and classification is fraught with high levels of noise and perturbation. Computer-vision-based deep learning models applied to spectrograms have proven useful in the field of signal classification and detection; however, these method
Externí odkaz:
http://arxiv.org/abs/2409.01532
Autor:
Bolme, David S., Aykac, Deniz, Shivers, Ryan, Brogan, Joel, Barber, Nell, Zhang, Bob, Davies, Laura, Cornett III, David
This paper examines covariate effects on fused whole body biometrics performance in the IARPA BRIAR dataset, specifically focusing on UAV platforms, elevated positions, and distances up to 1000 meters. The dataset includes outdoor videos compared wit
Externí odkaz:
http://arxiv.org/abs/2409.01514
Autor:
Cornett III, David, Brogan, Joel, Barber, Nell, Aykac, Deniz, Baird, Seth, Burchfield, Nick, Dukes, Carl, Duncan, Andrew, Ferrell, Regina, Goddard, Jim, Jager, Gavin, Larson, Matt, Murphy, Bart, Johnson, Christi, Shelley, Ian, Srinivas, Nisha, Stockwell, Brandon, Thompson, Leanne, Yohe, Matt, Zhang, Robert, Dolvin, Scott, Santos-Villalobos, Hector J., Bolme, David S.
Face recognition technology has advanced significantly in recent years due largely to the availability of large and increasingly complex training datasets for use in deep learning models. These datasets, however, typically comprise images scraped fro
Externí odkaz:
http://arxiv.org/abs/2211.01917
Recent global growth in the interest of smart cities has led to trillions of dollars of investment toward research and development. These connected cities have the potential to create a symbiosis of technology and society and revolutionize the cost o
Externí odkaz:
http://arxiv.org/abs/2209.12962
Autor:
Ruby, Max, Bolme, David S., Brogan, Joel, Cornett III, David, Delgado, Baldemar, Jager, Gavin, Johnson, Christi, Martinez-Mendoza, Jose, Santos-Villalobos, Hector, Srinivas, Nisha
Face recognition of vehicle occupants through windshields in unconstrained environments poses a number of unique challenges ranging from glare, poor illumination, driver pose and motion blur. In this paper, we further develop the hardware and softwar
Externí odkaz:
http://arxiv.org/abs/2002.12257
Autor:
Theisen, William, Brogan, Joel, Thomas, Pamela Bilo, Moreira, Daniel, Phoa, Pascal, Weninger, Tim, Scheirer, Walter
Forms of human communication are not static -- we expect some evolution in the way information is conveyed over time because of advances in technology. One example of this phenomenon is the image-based meme, which has emerged as a dominant form of po
Externí odkaz:
http://arxiv.org/abs/2001.06122
Autor:
Brogan, Joel, Bharati, Aparna, Moreira, Daniel, Bowyer, Kevin, Flynn, Patrick, Rocha, Anderson, Scheirer, Walter
Images from social media can reflect diverse viewpoints, heated arguments, and expressions of creativity, adding new complexity to retrieval tasks. Researchers working onContent-Based Image Retrieval (CBIR) have traditionally tuned their algorithms t
Externí odkaz:
http://arxiv.org/abs/1903.10019
Autor:
Bharati, Aparna, Moreira, Daniel, Brogan, Joel, Hale, Patricia, Bowyer, Kevin W., Flynn, Patrick J., Rocha, Anderson, Scheirer, Walter J.
Creative works, whether paintings or memes, follow unique journeys that result in their final form. Understanding these journeys, a process known as "provenance analysis", provides rich insights into the use, motivation, and authenticity underlying a
Externí odkaz:
http://arxiv.org/abs/1807.03376
Autor:
Moreira, Daniel, Bharati, Aparna, Brogan, Joel, Pinto, Allan, Parowski, Michael, Bowyer, Kevin W., Flynn, Patrick J., Rocha, Anderson, Scheirer, Walter J.
Prior art has shown it is possible to estimate, through image processing and computer vision techniques, the types and parameters of transformations that have been applied to the content of individual images to obtain new images. Given a large corpus
Externí odkaz:
http://arxiv.org/abs/1801.06510