Shayok Chakraborty

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 42

Top Venues

CoRR

WACV

IJCNN

ICIP

Arizona State University, Tempe, USA (PHD)

Education History

Arizona State University, Tempe, USA

PHD

Publications

Jewoong Moon, Fengfeng Ke, Zlatko Sokolikj, Shayok Chakraborty
Applying multimodal data fusion to track autistic adolescents' representational flexibility development during virtual reality-based training. Comput. Educ. X Real. 4 (2024)
Debanjan Goswami, Shayok Chakraborty
Active Batch Sampling for Multi-label Classification with Binary User Feedback. WACV (2024)
Lin Zhang, Linghan Xu, Saman Motamed, Shayok Chakraborty, Fernando De la Torre
D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain Alignment. CoRR (2024)
Chutian Jiang, Hansong Zhou, Xiaonan Zhang, Shayok Chakraborty
FedAR: Addressing Client Unavailability in Federated Learning with Local Update Approximation and Rectification. CoRR (2024)
Md Shamim Seraj, Ankita Singh, Shayok Chakraborty
Semi-Supervised Deep Domain Adaptation for Deepfake Detection. WACV (Workshops) (2024)
Lin Zhang, Linghan Xu, Saman Motamed, Shayok Chakraborty, Fernando De la Torre
GU: Multi-target Active Domain Adaptation via Enhancing Domain Alignment. WACV (2024)
Debanjan Goswami, Shayok Chakraborty
Active Learning for Video Classification with Frame Level Queries. IJCNN (2023)
Debanjan Goswami, Shayok Chakraborty
Active Learning for Video Classification with Frame Level Queries. CoRR (2023)
Zhe He, Shubo Tian, Ankita Singh, Shayok Chakraborty, Shenghao Zhang, Mia Liza A. Lustria, Neil Charness, Nelson A. Roque, Erin Harrell, Walter R. Boot
A Machine-Learning Based Approach for Predicting Older Adults' Adherence to Technology-Based Cognitive Training. Inf. Process. Manag. 59 (5) (2022)
Aditya R. Bhattacharya, Shayok Chakraborty
Deep Active Learning with Range Feedback for Facial Age Estimation. IJCNN (2022)
Shayok Chakraborty, Ankita Singh
Active Sampling for Text Classification with Subinstance Level Queries. AAAI (2022)
Meysam Ghaffari, Ashok Srinivasan, Xiuwen Liu, Shayok Chakraborty
High-resolution home location prediction from Twitter activities using consensus deep learning. Soc. Netw. Anal. Min. 11 (1) (2021)
Subhankar Banerjee, Shayok Chakraborty
Deterministic Mini-batch Sequencing for Training Deep Neural Networks. AAAI (2021)
Ankita Singh, Shayok Chakraborty
Deep Active Learning with Relative Label Feedback: An Application to Facial Age Estimation. IJCNN (2021)
Alexander M. Yuan, Shayok Chakraborty
A Study of Deep Learning for Predicting Freeze of Gait in Patients with Parkinson's Disease. ICMLA (2020)
Shayok Chakraborty
Asking the Right Questions to the Right Users: Active Learning with Imperfect Oracles. AAAI (2020)
Shayok Chakraborty
Active Learning for Multimedia Computing: Survey, Recent Trends and Applications. ACM Multimedia (2020)
Subhankar Banerjee, Shayok Chakraborty
Budgeted Subset Selection for Fine-tuning Deep Learning Architectures in Resource-Constrained Applications. IJCNN (2020)
Ankita Singh, Shayok Chakraborty
Deep Active Transfer Learning for Image Recognition. IJCNN (2020)
Aditya Bhattacharya, Shayok Chakraborty
Active Learning with n-ary Queries for Image Recognition. WACV (2019)
Michael Woodham, Jason Hawkins, Ankita Singh, Shayok Chakraborty
When to Pull Starting Pitchers in Major League Baseball? A Data Mining Approach. ICMLA (2019)
Chris Mills, Javier Escobar-Avila, Aditya Bhattacharya, Grigoriy Kondyukov, Shayok Chakraborty, Sonia Haiduc
Tracing with Less Data: Active Learning for Classification-Based Traceability Link Recovery. ICSME (2019)
Aditya R. Bhattacharya, Ji Liu, Shayok Chakraborty
A Generic Active Learning Framework for Class Imbalance Applications. BMVC (2019)
Subhankar Banerjee, Shayok Chakraborty
Deepsub: A Novel Subset Selection Framework for Training Deep Learning Architectures. ICIP (2019)
Shayok Chakraborty
Distributed Active Learning for Image Recognition. WACV (2018)
Vishwas G. Torvi, Aditya Bhattacharya, Shayok Chakraborty
Deep Domain Adaptation to Predict Freezing of Gait in Patients with Parkinson's Disease. ICMLA (2018)
Hiranmayi Ranganathan, Hemanth Venkateswara, Shayok Chakraborty, Sethuraman Panchanathan
Multi-Label Deep Active Learning with Label Correlation. ICIP (2018)
Shayok Chakraborty, Jack W. Stokes, Lin Xiao, Dengyong Zhou, Mady Marinescu, Anil Thomas
Hierarchical learning for automated malware classification. MILCOM (2017)
Hemanth Venkateswara, Shayok Chakraborty, Sethuraman Panchanathan
Deep-Learning Systems for Domain Adaptation in Computer Vision: Learning Transferable Feature Representations. IEEE Signal Process. Mag. 34 (6) (2017)
Hiranmayi Ranganathan, Hemanth Venkateswara, Shayok Chakraborty, Sethuraman Panchanathan
Deep active learning for image classification. ICIP (2017)
Hemanth Venkateswara, Shayok Chakraborty, Sethuraman Panchanathan
Nonlinear Embedding Transform for Unsupervised Domain Adaptation. CoRR (2017)
Hemanth Venkateswara, Jose Eusebio, Shayok Chakraborty, Sethuraman Panchanathan
Deep Hashing Network for Unsupervised Domain Adaptation. CoRR (2017)
Hemanth Venkateswara, Jose Eusebio, Shayok Chakraborty, Sethuraman Panchanathan
Deep Hashing Network for Unsupervised Domain Adaptation. CVPR (2017)
Sethuraman Panchanathan, Shayok Chakraborty, Troy McDaniel, Ramin Tadayon, Bijan Fakhri, Noel E. O'Connor, Mark Marsden, Suzanne Little, Kevin McGuinness, David S. Monaghan
Enriching the Fan Experience in a Smart Stadium Using Internet of Things Technologies. Int. J. Semantic Comput. 11 (2) (2017)
Hemanth Venkateswara, Shayok Chakraborty, Troy McDaniel, Sethuraman Panchanathan
Model Selection with Nonlinear Embedding for Unsupervised Domain Adaptation. AAAI Workshops (2017)
Hemanth Venkateswara, Shayok Chakraborty, Troy McDaniel, Sethuraman Panchanathan
Model Selection with Nonlinear Embedding for Unsupervised Domain Adaptation. CoRR (2017)
Hiranmayi Ranganathan, Shayok Chakraborty, Sethuraman Panchanathan
Transfer of multimodal emotion features in deep belief networks. ACSSC (2016)
Sethuraman Panchanathan, Shayok Chakraborty, Troy McDaniel
Social Interaction Assistant: A Person-Centered Approach to Enrich Social Interactions for Individuals With Visual Impairments. IEEE J. Sel. Top. Signal Process. 10 (5) (2016)
Hiranmayi Ranganathan, Shayok Chakraborty, Sethuraman Panchanathan
Multimodal emotion recognition using deep learning architectures. WACV (2016)
Sethuraman Panchanathan, Shayok Chakraborty, Troy McDaniel, Matt Bunch, Noel E. O'Connor, Suzanne Little, Kevin McGuinness, Mark Marsden
Smart Stadium for Smarter Living: Enriching the Fan Experience. ISM (2016)
Sethuraman Panchanathan, Shayok Chakraborty, Troy McDaniel, Ramin Tadayon
Person-Centered Multimedia Computing: A New Paradigm Inspired by Assistive and Rehabilitative Applications. IEEE Multim. 23 (3) (2016)
Hemanth Venkateswara, Shayok Chakraborty, Sethuraman Panchanathan
Nonlinear Embedding Transform for Unsupervised Domain Adaptation. ECCV Workshops (3) (2016)
Vineeth Nallure Balasubramanian, Shayok Chakraborty, Sethuraman Panchanathan
Conformal predictions for information fusion - A comparative study of p-value combination methods. Ann. Math. Artif. Intell. 74 (1-2) (2015)
Shayok Chakraborty, Omesh Tickoo, Ravi Iyer
Adaptive Keyframe Selection for Video Summarization. WACV (2015)
Shayok Chakraborty, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan
Adaptive Batch Mode Active Learning. IEEE Trans. Neural Networks Learn. Syst. 26 (8) (2015)
Shayok Chakraborty, Vineeth Nallure Balasubramanian, Qian Sun, Sethuraman Panchanathan, Jieping Ye
Active Batch Selection via Convex Relaxations with Guaranteed Solution Bounds. IEEE Trans. Pattern Anal. Mach. Intell. 37 (10) (2015)
Shayok Chakraborty, Vineeth Nallure Balasubramanian, Adepu Ravi Sankar, Sethuraman Panchanathan, Jieping Ye
BatchRank: A Novel Batch Mode Active Learning Framework for Hierarchical Classification. KDD (2015)
Shayok Chakraborty, Omesh Tickoo, Ravishankar R. Iyer
Towards Distributed Video Summarization. ACM Multimedia (2015)
Vineeth Nallure Balasubramanian, Aaron Baker, Matthew Yanez, Shayok Chakraborty, Sethuraman Panchanathan
PyCP: An Open-Source Conformal Predictions Toolkit. AIAI (2013)
Shayok Chakraborty, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan
Generalized batch mode active learning for face-based biometric recognition. Pattern Recognit. 46 (2) (2013)
Shayok Chakraborty, Jiayu Zhou, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan, Ian Davidson, Jieping Ye
Active Matrix Completion. ICDM (2013)
Shayok Chakraborty, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan
Batch Mode Active Learning for Multimedia Pattern Recognition. ISM (2012)
Shayok Chakraborty, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan
Dynamic batch mode active learning. CVPR (2011)
Rita Chattopadhyay, Shayok Chakraborty, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan
Optimization-Based Domain Adaptation towards Person-Adaptive Classification Models. ICMLA (1) (2011)
Shayok Chakraborty, Hemanth Venkateswara, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan
Active Batch Selection for Fuzzy Classification in Facial Expression Recognition. ICMLA (1) (2011)
Shayok Chakraborty, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan
Optimal batch selection for active learning in multi-label classification. ACM Multimedia (2011)
Shayok Chakraborty, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan
Dynamic Batch Mode Active Learning via L1 Regularization. AAAI (2011)
Vineeth Nallure Balasubramanian, Shayok Chakraborty, Sethuraman Panchanathan, Jieping Ye
Kernel Learning for Efficiency Maximization in the Conformal Predictions Framework. ICMLA (2010)
Shayok Chakraborty, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan
Dynamic Batch Size Selection for Batch Mode Active Learning in Biometrics. ICMLA (2010)
Shayok Chakraborty, Vineeth N. Balasubramanian, Sethuraman Panchanathan
Learning from summaries of videos: Applying batch mode active learning to face-based biometrics. CVPR Workshops (2010)
Sébastien Marcel, Chris McCool, Pavel Matejka, Timo Ahonen, Jan Cernocký, Shayok Chakraborty, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan, Chi-Ho Chan, Josef Kittler, Norman Poh, Benoit G. B. Fauve, Ondrej Glembek, Oldrich Plchot, Zdenek Jancik, Anthony Larcher, Christophe Lévy, Driss Matrouf, Jean-François Bonastre, Ping-Han Lee, Jui-Yu Hung, Si-Wei Wu, Yi-Ping Hung, Lukás Machlica, John S. D. Mason, Sandra Mau, Conrad Sanderson, David Monzo, Antonio Albiol, Hieu V. Nguyen, Li Bai, Yan Wang, Matti Niskanen, Markus Turtinen, Juan Arturo Nolazco-Flores, L. Paola García-Perera, Roberto Aceves-Lopez, Mauricio Villegas, Roberto Paredes
On the Results of the First Mobile Biometry (MOBIO) Face and Speaker Verification Evaluation. ICPR Contests (2010)
Vineeth Balasubramanian, Shayok Chakraborty, Sethuraman Panchanathan
Generalized Query by Transduction for online active learning. ICCV Workshops (2009)
Vineeth N. Balasubramanian, Sethuraman Panchanathan, Shayok Chakraborty
Multiple cue integration in transductive confidence machines for head pose classification. CVPR Workshops (2008)
Gaurav Gupta, Sanjoy Kumar Saha, Shayok Chakraborty, Chandan Mazumdar
Document Frauds: Identification and Linking Fake Document to Scanners and Printers. ICCTA (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shayok Chakraborty