Ifeoma Nwogu

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Venu GovindarajuSUNY Distinguished Professor, State University of New York, BuffaloVerified email at buffalo.edu
Mark FrankUniversity at BuffaloVerified email at buffalo.edu
Yingbo ZhouSenior Research Director, Salesforce ResearchVerified email at salesforce.com
Lora CavuotoProfessor, University at BuffaloVerified email at buffalo.edu
Manavender R MalgireddyApplied Scientist, Amazon.comVerified email at buffalo.edu
Devansh ArpitStartupVerified email at vanilabs.com
Rathin Radhakrishnan NairState University of New York at Buffalo, Terracon Inc.Verified email at buffalo.edu
Neeti PokhriyalPostdoc in Department of Computer Science, Dartmouth College, NHVerified email at dartmouth.edu
Jason CorsoProfessor of Robotics, Electrical Engineering and Computer Science, University of MichiganVerified email at umich.edu
Nisha BhaskaranSenior Software EngineerVerified email at paypal.com
Timothy ZeeRochester Institute of TechnologyVerified email at g.rit.edu
Prof. Dr. Vadlamani RaviInstitute for Development and Research in Banking TechnologyVerified email at idrbt.ac.in
Reynold BaileyRochester Institute of TechnologyVerified email at cs.rit.edu
Wenyao XuProfessor, SUNY at BuffaloVerified email at buffalo.edu
Feng LinZhejiang UniversityVerified email at zju.edu.cn
Kshitij TayalPhD, University of MinnesotaVerified email at umn.edu
Srirangaraj SetlurPrincipal Research Scientist, State University of New York at BuffaloVerified email at buffalo.edu
Cecilia O. AlmProfessor, Rochester Institute of TechnologyVerified email at rit.edu
Tharindu RanasingheLancaster University, UKVerified email at lancaster.ac.uk
Marcos ZampieriGeorge Mason UniversityVerified email at gmu.edu

Ifeoma Nwogu

Computer Science and Engineering, University at Buffalo, SUNY

Verified email at buffalo.edu

Human Behavior Modeling Inference Methods Sign Language Understanding


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Reported use of technology in stroke rehabilitation by physical and occupational therapists J Langan, H Subryan, I Nwogu, L Cavuoto Disability and Rehabilitation: Assistive Technology 13 (7), 641-647, 2018	100	2018
Malware detection via API calls, topic models and machine learning GG Sundarkumar, V Ravi, I Nwogu, V Govindaraju 2015 IEEE International Conference on Automation Science and Engineering …, 2015	58	2015
Language-motivated approaches to action recognition MR Malgireddy, I Nwogu, V Govindaraju The Journal of Machine Learning Research 14 (1), 2189-2212, 2013	54	2013
Lie to me: Deceit detection via online behavioral learning N Bhaskaran, I Nwogu, MG Frank, V Govindaraju 2011 IEEE International Conference on Automatic Face & Gesture Recognition …, 2011	49	2011
Deep learning methods for sign language translation T Ananthanarayana, P Srivastava, A Chintha, A Santha, B Landy, ... ACM Transactions on Accessible Computing (TACCESS) 14 (4), 1-30, 2021	44	2021
Automated analysis of line plots in documents RR Nair, N Sankaran, I Nwogu, V Govindaraju 2015 13th international conference on document analysis and recognition …, 2015	42	2015
Is joint training better for deep auto-encoders? Y Zhou, D Arpit, I Nwogu, V Govindaraju arXiv preprint arXiv:1405.1380, 2014	37	2014
Analyzing skin lesions in dermoscopy images using convolutional neural networks V Singh, I Nwogu 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2018	34	2018
Cognitive-biometric recognition from language usage: A feasibility study N Pokhriyal, K Tayal, I Nwogu, V Govindaraju IEEE Transactions on Information Forensics and Security 12 (1), 134-143, 2016	34	2016
Enhancing human face recognition with an interpretable neural network T Zee, G Gali, I Nwogu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019	25	2019
Signnet ii: A transformer-based two-way sign language translation model L Chaudhary, T Ananthanarayana, E Hoq, I Nwogu IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (11 …, 2022	19	2022
Wlv-rit at hasoc-dravidian-codemix-fire2020: Offensive language identification in code-switched youtube comments T Ranasinghe, S Gupte, M Zampieri, I Nwogu arXiv preprint arXiv:2011.00559, 2020	19	2020
Towards an affective video recommendation system Y Diaz, CO Alm, I Nwogu, R Bailey 2018 IEEE International Conference on Pervasive Computing and Communications …, 2018	19	2018
Language-guided human motion synthesis with atomic actions Y Zhai, M Huang, T Luan, L Dong, I Nwogu, S Lyu, D Doermann, J Yuan Proceedings of the 31st ACM International Conference on Multimedia, 5262-5271, 2023	16	2023
²: Beyond pairwise Belief Propagation labeling by approximating Kikuchi free energies I Nwogu, JJ Corso 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008	16	2008
An analysis of random projections in cancelable biometrics D Arpit, I Nwogu, G Srivastava, V Govindaraju arXiv preprint arXiv:1401.4489, 2014	13	2014
Pde-based enhancement of low quality documents I Nwogu, Z Shi, V Govindaraju Ninth International Conference on Document Analysis and Recognition (ICDAR …, 2007	13	2007
Interpretable emotion classification using temporal convolutional models M Gund, AR Bharadwaj, I Nwogu 2020 25th international conference on pattern recognition (ICPR), 6367-6374, 2021	12	2021
Dimensionality reduction with subspace structure preservation D Arpit, I Nwogu, V Govindaraju Advances in Neural Information Processing Systems 27, 2014	11	2014
An automated process for deceit detection I Nwogu, M Frank, V Govindaraju Biometric Technology for Human Identification VII 7667, 261-270, 2010	11	2010

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