Zobrazeno 1 - 10
of 225
pro vyhledávání: '"Boult, Terrance"'
Autor:
Kasım, Furkan, Boult, Terrance E., Mora, Rensso, Biesseck, Bernardo, Ribeiro, Rafael, Schlueter, Jan, Repák, Tomáš, Vareto, Rafael Henrique, Menotti, David, Schwartz, William Robson, Günther, Manuel
In the current landscape of biometrics and surveillance, the ability to accurately recognize faces in uncontrolled settings is paramount. The Watchlist Challenge addresses this critical need by focusing on face detection and open-set identification i
Externí odkaz:
http://arxiv.org/abs/2409.07220
Autor:
Vareto, Rafael Henrique, Linghu, Yu, Boult, Terrance E., Schwartz, William Robson, Günther, Manuel
Open-set face recognition characterizes a scenario where unknown individuals, unseen during the training and enrollment stages, appear on operation time. This work concentrates on watchlists, an open-set task that is expected to operate at a low Fals
Externí odkaz:
http://arxiv.org/abs/2311.00400
Fully-unsupervised Person and Vehicle Re-Identification have received increasing attention due to their broad applicability in surveillance, forensics, event understanding, and smart cities, without requiring any manual annotation. However, most of t
Externí odkaz:
http://arxiv.org/abs/2307.14278
In unconstrained scenarios, face recognition and person re-identification are subject to distortions such as motion blur, atmospheric turbulence, or upsampling artifacts. To improve robustness in these scenarios, we propose a methodology called Disto
Externí odkaz:
http://arxiv.org/abs/2302.05753
Autor:
Wu, Haiyu, Bezold, Grace, Günther, Manuel, Boult, Terrance, King, Michael C., Bowyer, Kevin W.
We report the first systematic analysis of the experimental foundations of facial attribute classification. Two annotators independently assigning attribute values shows that only 12 of 40 common attributes are assigned values with >= 95% consistency
Externí odkaz:
http://arxiv.org/abs/2210.07356
Autor:
Ahmad, Touqeer, Jafarzadeh, Mohsen, Dhamija, Akshay Raj, Rabinowitz, Ryan, Cruz, Steve, Li, Chunchun, Boult, Terrance E.
There exists a distribution discrepancy between training and testing, in the way images are fed to modern CNNs. Recent work tried to bridge this gap either by fine-tuning or re-training the network at different resolutions. However re-training a netw
Externí odkaz:
http://arxiv.org/abs/2201.07894
Autor:
Gorog, Christopher, Boult, Terrance E.
This work introduces a novel approach for the governance of a blockchain containing social constructs and technical viability for widescale applications for the next generation of distributed ledgers. Functional requirements for this new blockchain d
Externí odkaz:
http://arxiv.org/abs/2112.03692
Autor:
Dhamija, Akshay Raj, Ahmad, Touqeer, Schwan, Jonathan, Jafarzadeh, Mohsen, Li, Chunchun, Boult, Terrance E.
This paper identifies the flaws in existing open-world learning approaches and attempts to provide a complete picture in the form of \textbf{True Open-World Learning}. We accomplish this by proposing a comprehensive generalize-able open-world learnin
Externí odkaz:
http://arxiv.org/abs/2102.07848
Autor:
Jafarzadeh, Mohsen, Dhamija, Akshay Raj, Cruz, Steve, Li, Chunchun, Ahmad, Touqeer, Boult, Terrance E.
In open-world learning, an agent starts with a set of known classes, detects, and manages things that it does not know, and learns them over time from a non-stationary stream of data. Open-world learning is related to but also distinct from a multitu
Externí odkaz:
http://arxiv.org/abs/2011.12906