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ORCIDTerrance E. Boult
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- affiliation: University of Colorado at Colorado Springs, Department of Computer Science
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2020 – today
- 2023
[c143]Haiyu Wu, Grace Bezold, Manuel Günther, Terrance E. Boult, Michael C. King, Kevin W. Bowyer:
Consistency and Accuracy of CelebA Attribute Values. CVPR Workshops 2023: 3258-3266- [c142]Wes Robbins, Steven Zhou, Aman Bhatta, Chad Mello, Vítor Albiero, Kevin W. Bowyer, Terrance E. Boult:
CAST: Conditional Attribute Subsampling Toolkit for Fine-grained Evaluation. WACV 2023: 919-929 - [i40]Wes Robbins, Gabriel Bertocco, Terrance E. Boult:
DaliID: Distortion-Adaptive Learned Invariance for Identification Models. CoRR abs/2302.05753 (2023) - [i39]Gabriel Bertocco, Fernanda A. Andaló, Terrance E. Boult, Anderson Rocha:
Large-scale Fully-Unsupervised Re-Identification. CoRR abs/2307.14278 (2023) - 2022
- [j37]Chunchun Li, Manuel Günther
, Akshay Raj Dhamija, Steve Cruz, Mohsen Jafarzadeh, Touqeer Ahmad, Terrance E. Boult:
Agglomerative Clustering with Threshold Optimization via Extreme Value Theory. Algorithms 15(5): 170 (2022) - [j36]Terrance E. Boult, Nicolas M. Windesheim, Steven Zhou, Christopher Pereyda, Lawrence B. Holder:
Weibull-Open-World (WOW) Multi-Type Novelty Detection in CartPole3D. Algorithms 15(10): 381 (2022) - [j35]Pedro Ribeiro Mendes Júnior, Terrance E. Boult, Jacques Wainer, Anderson Rocha:
Open-Set Support Vector Machines. IEEE Trans. Syst. Man Cybern. Syst. 52(6): 3785-3798 (2022) - [c141]Wes Robbins, Terrance E. Boult:
On the Effect of Atmospheric Turbulence in the Feature Space of Deep Face Recognition. CVPR Workshops 2022: 1617-1625 - [c140]Touqeer Ahmad, Akshay Raj Dhamija, Mohsen Jafarzadeh, Steve Cruz, Ryan Rabinowitz, Chunchun Li, Terrance E. Boult:
Variable Few Shot Class Incremental and Open World Learning. CVPR Workshops 2022: 3687-3698 - [c139]Touqeer Ahmad, Akshay Raj Dhamija, Steve Cruz, Ryan Rabinowitz, Chunchun Li, Mohsen Jafarzadeh, Terrance E. Boult:
Few-Shot Class Incremental Learning Leveraging Self-Supervised Features. CVPR Workshops 2022: 3899-3909 - [c138]Touqeer Ahmad, Mohsen Jafarzadeh, Akshay Raj Dhamija, Ryan Rabinowitz, Steve Cruz, Chunchun Li, Terrance E. Boult:
Enhanced Performance of Pre-Trained Networks by Matched Augmentation Distributions. IJCNN 2022: 1-10 - [i38]Touqeer Ahmad, Mohsen Jafarzadeh, Akshay Raj Dhamija, Ryan Rabinowitz, Steve Cruz, Chunchun Li, Terrance E. Boult:
Enhanced Performance of Pre-Trained Networks by Matched Augmentation Distributions. CoRR abs/2201.07894 (2022) - [i37]Haiyu Wu, Grace Bezold, Manuel Günther, Terrance E. Boult, Michael C. King, Kevin W. Bowyer:
Consistency and Accuracy of CelebA Attribute Values. CoRR abs/2210.07356 (2022) - 2021
- [c137]Terrance E. Boult, Przemyslaw A. Grabowicz, Derek S. Prijatelj, Roni Stern, Lawrence Holder, Joshua Alspector, Mohsen Jafarzadeh, Touqeer Ahmad, Akshay Raj Dhamija, Chunchun Li, Steve Cruz, Abhinav Shrivastava, Carl Vondrick, Walter J. Scheirer:
Towards a Unifying Framework for Formal Theories of Novelty. AAAI 2021: 15047-15052 - [c136]Terrance E. Boult, Yanyan Zhuang:
PORT: Pooled Ordered Rectangular Testing for Improved Public Health Screening. ICHI 2021: 238-242 - [c135]Chunchun Li, Manuel Günther, Terrance E. Boult:
ComFu: Improving Visual Clustering by Commonality Fusion. ICMLA 2021: 143-150 - [c134]Mohsen Jafarzadeh, Touqeer Ahmad, Akshay Raj Dhamija, Chunchun Li, Steve Cruz, Terrance E. Boult:
Automatic Open-World Reliability Assessment. WACV 2021: 1983-1992 - [i36]Akshay Raj Dhamija, Touqeer Ahmad, Jonathan Schwan, Mohsen Jafarzadeh, Chunchun Li, Terrance E. Boult:
Self-Supervised Features Improve Open-World Learning. CoRR abs/2102.07848 (2021) - [i35]Christopher Gorog, Terrance E. Boult:
Blockchain Synchronous Trust Consensus Model. CoRR abs/2112.03692 (2021) - 2020
- [c133]James Henrydoss, Steve Cruz, Chunchun Li, Manuel Günther, Terrance E. Boult:
Enhancing Open-Set Recognition using Clustering-based Extreme Value Machine (C-EVM). IEEE BigData 2020: 441-448 - [c132]Manuel Günther, Akshay Raj Dhamija, Terrance E. Boult:
Watchlist Adaptation: Protecting the Innocent. BIOSIG 2020: 21-32 - [c131]Andras Rozsa, Terrance E. Boult, Zheng Zhong:
Adversarial Attack on Deep Learning-Based Splice Localization. CVPR Workshops 2020: 2757-2765 - [c130]Aurobrata Ghosh, Zheng Zhong, Steve Cruz, Subbu Veeravasarapu, Maneesh Kumar Singh, Terrance E. Boult:
Infoprint: Information Theoretic Digital Image Forensics. ICIP 2020: 638-642 - [c129]Akshay Raj Dhamija, Manuel Günther, Jonathan Ventura, Terrance E. Boult:
The Overlooked Elephant of Object Detection: Open Set. WACV 2020: 1010-1019 - [c128]Jonathan Schwan, Akshay Raj Dhamija, Terrance E. Boult:
I-MOVE: Independent Moving Objects for Velocity Estimation. WACV 2020: 1090-1099 - [i34]Andras Rozsa, Zheng Zhong, Terrance E. Boult:
Adversarial Attack on Deep Learning-Based Splice Localization. CoRR abs/2004.08443 (2020) - [i33]Mohsen Jafarzadeh, Touqeer Ahmad, Akshay Raj Dhamija, Chunchun Li, Steve Cruz, Terrance E. Boult:
Automatic Open-World Reliability Assessment. CoRR abs/2011.05506 (2020) - [i32]Mohsen Jafarzadeh, Akshay Raj Dhamija, Steve Cruz, Chunchun Li, Touqeer Ahmad, Terrance E. Boult:
Open-World Learning Without Labels. CoRR abs/2011.12906 (2020) - [i31]Terrance E. Boult, Przemyslaw A. Grabowicz, Derek S. Prijatelj, Roni Stern, Larry B. Holder, Joshua Alspector, Mohsen Jafarzadeh, Touqeer Ahmad, Akshay Raj Dhamija, Chunchun Li, Steve Cruz, Abhinav Shrivastava, Carl Vondrick, Walter J. Scheirer:
A Unifying Framework for Formal Theories of Novelty: Framework, Examples and Discussion. CoRR abs/2012.04226 (2020)
2010 – 2019
- 2019
- [j34]Andras Rozsa, Manuel Günther, Ethan M. Rudd, Terrance E. Boult:
Facial attributes: Accuracy and adversarial robustness. Pattern Recognit. Lett. 124: 100-108 (2019) - [c127]Terrance E. Boult, Steve Cruz, Akshay Raj Dhamija, Manuel Günther, James Henrydoss, Walter J. Scheirer:
Learning and the Unknown: Surveying Steps toward Open World Recognition. AAAI 2019: 9801-9807 - [c126]Aurobrata Ghosh, Zheng Zhong, Terrance E. Boult, Maneesh Singh:
SpliceRadar: A Learned Method For Blind Image Forensics. CVPR Workshops 2019: 72-79 - [c125]Akshay Raj Dhamija, Manuel Günther, Terrance E. Boult:
Improving Deep Network Robustness to Unknown Inputs with Objectosphere. CVPR Workshops 2019: 87-90 - [i30]Aurobrata Ghosh, Zheng Zhong, Terrance E. Boult, Maneesh Singh:
SpliceRadar: A Learned Method For Blind Image Forensics. CoRR abs/1906.11663 (2019) - [i29]Andras Rozsa, Terrance E. Boult:
Improved Adversarial Robustness by Reducing Open Space Risk via Tent Activations. CoRR abs/1908.02435 (2019) - [i28]Aurobrata Ghosh, Zheng Zhong, Steve Cruz, Subbu Veeravasarapu, Terrance E. Boult, Maneesh Singh:
To Beta or Not To Beta: Information Bottleneck for DigitaL Image Forensics. CoRR abs/1908.03864 (2019) - 2018
- [j33]Ethan M. Rudd, Lalit P. Jain, Walter J. Scheirer, Terrance E. Boult:
The Extreme Value Machine. IEEE Trans. Pattern Anal. Mach. Intell. 40(3): 762-768 (2018) - [c124]Alexander Freytag, Vittorio Ferrari, Mario Fritz, Uwe Franke, Terrance E. Boult, Juergen Gall, Walter J. Scheirer, Angela Yao, Erik Rodner:
Workshop on Interactive and Adaptive Learning in an Open World. ECCV Workshops (6) 2018: 487-493 - [c123]Adria Mallol-Ragolta, Svati Dhamija, Terrance E. Boult:
A Multimodal Approach for Predicting Changes in PTSD Symptom Severity. ICMI 2018: 324-333 - [c122]Fahad Alsolami, Bayan Alzahrani, Terrance E. Boult:
Cloud-ID-Screen: Secure fingerprint data in the cloud. ISBA 2018: 1-8 - [c121]Christopher Gorog, Terrance E. Boult:
Solving Global Cybersecurity Problems by Connecting Trust Using Blockchain. iThings/GreenCom/CPSCom/SmartData 2018: 1425-1432 - [c120]Akshay Raj Dhamija, Manuel Günther, Terrance E. Boult:
Reducing Network Agnostophobia. NeurIPS 2018: 9175-9186 - [c119]Michael Bihn, Manuel Günther, Daniel Lemmond, Terrance E. Boult:
Evaluating a Convolutional Neural Network on Short-Wave Infra-Red Images. WACV Workshops 2018: 18-27 - [c118]Svati Dhamija, Terrance E. Boult:
Learning Visual Engagement for Trauma Recovery. WACV Workshops 2018: 84-93 - [c117]Chunchun Li, Manuel Günther, Terrance E. Boult:
ECLIPSE: Ensembles of Centroids Leveraging Iteratively Processed Spatial Eclipse Clustering. WACV 2018: 131-140 - [c116]Svati Dhamija, Terrance E. Boult:
Automated Action Units Vs. Expert Raters: Face off. WACV 2018: 259-268 - [c115]Andras Rozsa, Manuel Günther, Terrance E. Boult:
Towards Robust Deep Neural Networks with BANG. WACV 2018: 803-811 - [c114]Adil M. Ahmad, Daniel Lemmond, Terrance E. Boult:
Chainlets: A New Descriptor for Detection and Recognition. WACV 2018: 1897-1906 - [i27]Andras Rozsa, Manuel Günther, Ethan M. Rudd, Terrance E. Boult:
Facial Attributes: Accuracy and Adversarial Robustness. CoRR abs/1801.02480 (2018) - [i26]Akshay Raj Dhamija, Manuel Günther, Terrance E. Boult:
Reducing Network Agnostophobia. CoRR abs/1811.04110 (2018) - [i25]Ahmed ElSayed, Elif Kongar, Ausif Mahmood, Tarek M. Sobh, Terrance E. Boult:
Neural Generative Models for 3D Faces with Application in 3D Texture Free Face Recognition. CoRR abs/1811.04358 (2018) - 2017
- [j32]Ethan M. Rudd, Andras Rozsa, Manuel Günther, Terrance E. Boult:
A Survey of Stealth Malware Attacks, Mitigation Measures, and Steps Toward Autonomous Open World Solutions. IEEE Commun. Surv. Tutorials 19(2): 1145-1172 (2017) - [c113]Svati Dhamija, Terrance E. Boult:
Automated mood-aware engagement prediction. ACII 2017: 1-8 - [c112]Andras Rozsa, Manuel Günther, Terrance E. Boult:
Adversarial Robustness: Softmax versus Openmax. BMVC 2017 - [c111]Manuel Günther, Steve Cruz, Ethan M. Rudd, Terrance E. Boult:
Toward Open-Set Face Recognition. CVPR Workshops 2017: 573-582 - [c110]Svati Dhamija, Terrance E. Boult:
Exploring Contextual Engagement for Trauma Recovery. CVPR Workshops 2017: 2267-2277 - [c109]Chloe Bradley, Terrance E. Boult, Jonathan Ventura:
Cross-Modal Facial Attribute Recognition with Geometric Features. FG 2017: 891-896 - [c108]Manuel Günther, Andras Rozsa, Terrance E. Boult:
AFFACT: Alignment-free facial attribute classification technique. IJCB 2017: 90-99 - [c107]Andras Rozsa, Manuel Günther, Terrance E. Boult:
LOTS about attacking deep features. IJCB 2017: 168-176 - [c106]Manuel Günther, Peiyun Hu, Christian Herrmann, Chi-Ho Chan, Min Jiang, Shufan Yang, Akshay Raj Dhamija, Deva Ramanan, Jürgen Beyerer, Josef Kittler, Mohamad Al Jazaery, Mohammad Iqbal Nouyed, Guodong Guo, Cezary Stankiewicz, Terrance E. Boult:
Unconstrained Face Detection and Open-Set Face Recognition Challenge. IJCB 2017: 697-706 - [c105]Ziga Emersic, Dejan Stepec, Vitomir Struc, Peter Peer, Anjith George, Adil M. Ahmad, Elshibani Omar, Terrance E. Boult, Reza Safdari, Yuxiang Zhou, Stefanos Zafeiriou, Dogucan Yaman, Fevziye Irem Eyiokur, Hazim Kemal Ekenel:
The unconstrained ear recognition challenge. IJCB 2017: 715-724 - [c104]James Henrydoss, Steve Cruz, Ethan M. Rudd, Manuel Günther, Terrance E. Boult:
Incremental Open Set Intrusion Recognition Using Extreme Value Machine. ICMLA 2017: 1089-1093 - [i24]Steve Cruz, Cora Coleman, Ethan M. Rudd, Terrance E. Boult:
Open Set Intrusion Recognition for Fine-Grained Attack Categorization. CoRR abs/1703.02244 (2017) - [i23]Khudran Alzhrani, Ethan M. Rudd, C. Edward Chow, Terrance E. Boult:
Automated U.S Diplomatic Cables Security Classification: Topic Model Pruning vs. Classification Based on Clusters. CoRR abs/1703.02248 (2017) - [i22]Manuel Günther, Steve Cruz, Ethan M. Rudd, Terrance E. Boult:
Toward Open-Set Face Recognition. CoRR abs/1705.01567 (2017) - [i21]Andras Rozsa, Manuel Günther, Terrance E. Boult:
Adversarial Robustness: Softmax versus Openmax. CoRR abs/1708.01697 (2017) - [i20]Manuel Günther, Peiyun Hu, Christian Herrmann, Chi-Ho Chan, Min Jiang, Shufan Yang, Akshay Raj Dhamija, Deva Ramanan, Jürgen Beyerer, Josef Kittler, Mohamad Al Jazaery, Mohammad Iqbal Nouyed, Cezary Stankiewicz, Terrance E. Boult:
Unconstrained Face Detection and Open-Set Face Recognition Challenge. CoRR abs/1708.02337 (2017) - [i19]Ziga Emersic, Dejan Stepec, Vitomir Struc, Peter Peer, Anjith George, Adil M. Ahmad, Elshibani Omar, Terrance E. Boult, Reza Safdari, Yuxiang Zhou, Stefanos Zafeiriou, Dogucan Yaman, Fevziye Irem Eyiokur, Hazim Kemal Ekenel:
The Unconstrained Ear Recognition Challenge. CoRR abs/1708.06997 (2017) - 2016
- [j31]Richard White, Aaron Burkhart, Randy George, Terrance E. Boult, Edward Chow:
Towards comparable cross-sector risk analyses: A re-examination of the Risk Analysis and Management for Critical Asset Protection (RAMCAP) methodology. Int. J. Crit. Infrastructure Prot. 14: 28-40 (2016) - [c103]Anthony O. Ayodele, Jia Rao, Terrance E. Boult:
Towards Application-centric Fairness in Multi-tenant Clouds with Adaptive CPU Sharing Model. CLOUD 2016: 367-375 - [c102]Khudran Alzhrani, Ethan M. Rudd, C. Edward Chow, Terrance E. Boult:
Automated big security text pruning and classification. IEEE BigData 2016: 3629-3637 - [c101]Abhijit Bendale, Terrance E. Boult:
What Do You Do When You Know That You Don't Know? CVPR Workshops 2016: 69-76 - [c100]Ethan M. Rudd, Manuel Günther, Terrance E. Boult:
PARAPH: Presentation Attack Rejection by Analyzing Polarization Hypotheses. CVPR Workshops 2016: 171-178 - [c99]Ethan M. Rudd, Terrance E. Boult:
CALIPER: Continuous Authentication Layered with Integrated PKI Encoding Recognition. CVPR Workshops 2016: 195-203 - [c98]Andras Rozsa, Ethan M. Rudd, Terrance E. Boult:
Adversarial Diversity and Hard Positive Generation. CVPR Workshops 2016: 410-417 - [c97]Abhijit Bendale, Terrance E. Boult:
Towards Open Set Deep Networks. CVPR 2016: 1563-1572 - [c96]Ethan M. Rudd, Manuel Günther, Terrance E. Boult:
MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes. ECCV (5) 2016: 19-35 - [c95]Abigail Graese, Andras Rozsa, Terrance E. Boult:
Assessing Threat of Adversarial Examples on Deep Neural Networks. ICMLA 2016: 69-74 - [c94]Andras Rozsa, Manuel Günther, Terrance E. Boult:
Are Accuracy and Robustness Correlated. ICMLA 2016: 227-232 - [c93]Andras Rozsa, Manuel Günther, Ethan M. Rudd, Terrance E. Boult:
Are facial attributes adversarially robust? ICPR 2016: 3121-3127 - [c92]Richard White, Aaron Burkhart, Terrance E. Boult, Edward Chow:
Towards a Comparable Cross-Sector Risk Analysis: RAMCAP Revisited. Critical Infrastructure Protection 2016: 221-237 - [c91]Khudran Alzhrani, Ethan M. Rudd, Terrance E. Boult, C. Edward Chow:
Automated big text security classification. ISI 2016: 103-108 - [c90]Fawaz E. Alsaadi, Terrance E. Boult:
Furthering fingerprint-based authentication: Introducing the true-neighbor template. WACV 2016: 1-7 - [i18]Ethan M. Rudd, Andras Rozsa, Manuel Günther, Terrance E. Boult:
A Survey of Stealth Malware: Attacks, Mitigation Measures, and Steps Toward Autonomous Open World Solutions. CoRR abs/1603.06028 (2016) - [i17]Ethan M. Rudd, Manuel Günther, Terrance E. Boult:
MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes. CoRR abs/1603.07027 (2016) - [i16]Andras Rozsa, Ethan M. Rudd, Terrance E. Boult:
Adversarial Diversity and Hard Positive Generation. CoRR abs/1605.01775 (2016) - [i15]Ethan M. Rudd, Terrance E. Boult:
CALIPER: Continuous Authentication Layered with Integrated PKI Encoding Recognition. CoRR abs/1605.03116 (2016) - [i14]Ethan M. Rudd, Manuel Günther, Terrance E. Boult:
PARAPH: Presentation Attack Rejection by Analyzing Polarization Hypotheses. CoRR abs/1605.03124 (2016) - [i13]Andras Rozsa, Manuel Günther, Ethan M. Rudd, Terrance E. Boult:
Are Facial Attributes Adversarially Robust? CoRR abs/1605.05411 (2016) - [i12]Abigail Graese, Andras Rozsa, Terrance E. Boult:
Assessing Threat of Adversarial Examples on Deep Neural Networks. CoRR abs/1610.04256 (2016) - [i11]Andras Rozsa, Manuel Günther, Terrance E. Boult:
Are Accuracy and Robustness Correlated? CoRR abs/1610.04563 (2016) - [i10]Khudran Alzhrani, Ethan M. Rudd, Terrance E. Boult, C. Edward Chow:
Automated Big Text Security Classification. CoRR abs/1610.06856 (2016) - [i9]Manuel Günther, Andras Rozsa, Terrance E. Boult:
AFFACT - Alignment Free Facial Attribute Classification Technique. CoRR abs/1611.06158 (2016) - [i8]Andras Rozsa, Manuel Günther, Terrance E. Boult:
Exploring LOTS in Deep Neural Networks. CoRR abs/1611.06179 (2016) - [i7]Andras Rozsa, Manuel Günther, Terrance E. Boult:
Towards Robust Deep Neural Networks with BANG. CoRR abs/1612.00138 (2016) - 2015
- [c89]Anthony O. Ayodele, Jia Rao, Terrance E. Boult:
Performance Measurement and Interference Profiling in Multi-tenant Clouds. CLOUD 2015: 941-949 - [c88]Andras Rozsa, Albert E. Glock, Terrance E. Boult:
Genetic algorithm attack on minutiae-based fingerprint authentication and protected template fingerprint systems. CVPR Workshops 2015: 100-108 - [c87]Abhijit Bendale, Terrance E. Boult:
Towards Open World Recognition. CVPR 2015: 1893-1902 - [c86]Terrance E. Boult, Fernando De la Torre, Slobodan Ribaric, Vitomir Struc:
Foreword - De-identification for Privacy Protection in Multimedia 2015. FG 2015: 1-2 - [i6]Ethan M. Rudd, Lalit P. Jain, Walter J. Scheirer, Terrance E. Boult:
The Extreme Value Machine. CoRR abs/1506.06112 (2015) - [i5]Abhijit Bendale, Terrance E. Boult:
Towards Open Set Deep Networks. CoRR abs/1511.06233 (2015) - 2014
- [j30]Richard White, Terrance E. Boult, Edward Chow:
A computational asset vulnerability model for the strategic protection of the critical infrastructure. Int. J. Crit. Infrastructure Prot. 7(3): 167-177 (2014) - [j29]Walter J. Scheirer, Lalit P. Jain, Terrance E. Boult:
Probability Models for Open Set Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 36(11): 2317-2324 (2014) - [j28]Walter J. Scheirer, Michael J. Wilber, Michael Eckmann, Terrance E. Boult:
Good recognition is non-metric. Pattern Recognit. 47(8): 2721-2731 (2014) - [c85]Abhijit Bendale, Terrance E. Boult:
Reliable Posterior Probability Estimation for Streaming Face Recognition. CVPR Workshops 2014: 56-63 - [c84]Lalit P. Jain, Walter J. Scheirer, Terrance E. Boult:
Multi-class Open Set Recognition Using Probability of Inclusion. ECCV (3) 2014: 393-409 - [c83]Abdullah A. Albahdal, Terrance E. Boult:
Problems and Promises of Using the Cloud and Biometrics. ITNG 2014: 293-300 - [c82]Fahad Alsolami, Terrance E. Boult:
CloudStash: Using Secret-Sharing Scheme to Secure Data, Not Keys, in Multi-clouds. ITNG 2014: 315-320 - [c81]Michael J. Wilber, Ethan M. Rudd, Brian Heflin, Yui-Man Lui, Terrance E. Boult:
Exemplar codes for facial attributes and tattoo recognition. WACV 2014: 205-212 - [i4]Abhijit Bendale, Terrance E. Boult:
Towards Open World Recognition. CoRR abs/1412.5687 (2014) - 2013
- [j27]Archana Sapkota, Terrance E. Boult:
GRAB: generalized region assigned to binary. EURASIP J. Image Video Process. 2013: 35 (2013) - [j26]Walter J. Scheirer, Anderson de Rezende Rocha, Archana Sapkota, Terrance E. Boult:
Toward Open Set Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 35(7): 1757-1772 (2013) - [j25]Pedro F. Felzenszwalb, David A. Forsyth, Pascal Fua, Terrance E. Boult:
TPAMI CVPR Special Section. IEEE Trans. Pattern Anal. Mach. Intell. 35(12): 2819-2820 (2013) - [c80]Abdullah A. Albahdal, Hamdan Alzahrani, Lalit Prithviraj Jain, Terrance E. Boult:
Trusted BWI: Privacy and trust enhanced biometric web identities. BTAS 2013: 1-8 - [c79]RC Johnson, Terrance E. Boult, Walter J. Scheirer:
Voice authentication using short phrases: Examining accuracy, security and privacy issues. BTAS 2013: 1-8 - [c78]Archana Sapkota, Terrance E. Boult:
Large scale unconstrained open set face database. BTAS 2013: 1-8 - [c77]Archana Sapkota, Raghuraman Gopalan, Eric Zavesky, Terrance E. Boult:
Appearance, context and co-occurrence ensembles for identity recognition in personal photo collections. BTAS 2013: 1-8 - [c76]Lalit P. Jain, Michael J. Wilber, Terrance E. Boult:
Issues in Rotational (Non-)invariance and Image Preprocessing. CVPR Workshops 2013: 76-83 - [c75]