Shayok Chakraborty

79 papers A* 12A 10B 8C 7Misc 2Journal 22Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ACIL: Active Class Incremental Learning for Image Classification. CoRR Aditya R. Bhattacharya, Debanjan Goswami, Shayok Chakraborty
2026	J	`jnl`	CITED: A Decision Boundary-Aware Signature for GNNs Towards Model Extraction Defense. CoRR Bolin Shen, Md Shamim Seraj, Zhan Cheng, Shayok Chakraborty, Yushun Dong
2026	J	`jnl`	In-the-Wild Camouflage Attack on Vehicle Detectors through Controllable Image Editing. CoRR Xiao Fang, Yiming Gong, Stanislav Panev, Celso De Melo, Shuowen Hu, Shayok Chakraborty, Fernando De la Torre
2025	A	`conf`	Active Learning for Image Segmentation with Binary User Feedback. WACV Debanjan Goswami, Shayok Chakraborty
2025	J	`jnl`	Adapting Vehicle Detectors for Aerial Imagery to Unseen Domains with Weak Supervision. CoRR Xiao Fang, Minhyek Jeon, Zheyang Qin, Stanislav Panev, Celso De Melo, Shuowen Hu, Shayok Chakraborty, Fernando De la Torre
2025	J	`jnl`	CORE: Compensable Reward as a Catalyst for Improving Offline RL in Wireless Networks. CoRR Lipeng Zu, Hansong Zhou, Yu Qian, Shayok Chakraborty, Yukun Yuan, Linke Guo, Xiaonan Zhang
2025	—	`conf`	LLM-Empowered Patient-Provider Communication: A Data-Centric Survey From a Clinical Perspective. IJCNLP-AACL (Findings) Ruosi Shao, Md Shamim Seraj, Kangyi Zhao, Yingtao Luo, Lincan Li, Bolin Shen, Averi Bates, Yue Zhao, Chongle Pan, Lisa Hightow-Weidman, Shayok Chakraborty, Yushun Dong
2025	—	`conf`	MediVLM: A Vision Language Model for Radiology Report Generation from Medical Images. EMNLP (Findings) Debanjan Goswami, Ronast Subedi, Shayok Chakraborty
2024	A	`conf`	ACIL: Active Class Incremental Learning for Image Classification. BMVC Aditya R. Bhattacharya, Debanjan Goswami, Shayok Chakraborty
2024	A	`conf`	Active Batch Sampling for Multi-label Classification with Binary User Feedback. WACV Debanjan Goswami, Shayok Chakraborty
2024	J	`jnl`	Applying multimodal data fusion to track autistic adolescents' representational flexibility development during virtual reality-based training. Comput. Educ. X Real. Jewoong Moon, Fengfeng Ke, Zlatko Sokolikj, Shayok Chakraborty
2024	A	`conf`	D WACV Lin Zhang, Linghan Xu, Saman Motamed, Shayok Chakraborty, Fernando De la Torre
2024	J	`jnl`	D3GU: Multi-Target Active Domain Adaptation via Enhancing Domain Alignment. CoRR Lin Zhang, Linghan Xu, Saman Motamed, Shayok Chakraborty, Fernando De la Torre
2024	A*	`conf`	Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism. NeurIPS Ronast Subedi, Lu Wei, Wenhan Gao, Shayok Chakraborty, Yi Liu
2024	—	`conf`	FedAR: Addressing Client Unavailability in Federated Learning with Local Update Approximation and Rectification. ECML/PKDD (3) Chutian Jiang, Hansong Zhou, Xiaonan Zhang, Shayok Chakraborty
2024	J	`jnl`	FedAR: Addressing Client Unavailability in Federated Learning with Local Update Approximation and Rectification. CoRR Chutian Jiang, Hansong Zhou, Xiaonan Zhang, Shayok Chakraborty
2024	—	`conf`	Knowledge Distillation in Deep Networks Under a Constrained Query Budget. ICPR (1) Ankita Singh, Shayok Chakraborty
2024	—	`conf`	Multi-source Deep Domain Adaptation for Deepfake Detection. ICPR (21) Md Shamim Seraj, Shayok Chakraborty
2024	—	`conf`	Semi-Supervised Deep Domain Adaptation for Deepfake Detection. WACV (Workshops) Md Shamim Seraj, Ankita Singh, Shayok Chakraborty
2023	B	`conf`	Active Learning for Video Classification with Frame Level Queries. IJCNN Debanjan Goswami, Shayok Chakraborty
2023	J	`jnl`	Active Learning for Video Classification with Frame Level Queries. CoRR Debanjan Goswami, Shayok Chakraborty
2022	J	`jnl`	A Machine-Learning Based Approach for Predicting Older Adults' Adherence to Technology-Based Cognitive Training. Inf. Process. Manag. Zhe He, Shubo Tian, Ankita Singh, Shayok Chakraborty, Shenghao Zhang, Mia Liza A. Lustria, Neil Charness, Nelson A. Roque, Erin Harrell, Walter R. Boot
2022	A*	`conf`	Active Sampling for Text Classification with Subinstance Level Queries. AAAI Shayok Chakraborty, Ankita Singh
2022	B	`conf`	Deep Active Learning with Range Feedback for Facial Age Estimation. IJCNN Aditya R. Bhattacharya, Shayok Chakraborty
2021	B	`conf`	Deep Active Learning with Relative Label Feedback: An Application to Facial Age Estimation. IJCNN Ankita Singh, Shayok Chakraborty
2021	A*	`conf`	Deterministic Mini-batch Sequencing for Training Deep Neural Networks. AAAI Subhankar Banerjee, Shayok Chakraborty
2021	J	`jnl`	High-resolution home location prediction from Twitter activities using consensus deep learning. Soc. Netw. Anal. Min. Meysam Ghaffari, Ashok Srinivasan, Xiuwen Liu, Shayok Chakraborty
2020	C	`conf`	A Study of Deep Learning for Predicting Freeze of Gait in Patients with Parkinson's Disease. ICMLA Alexander M. Yuan, Shayok Chakraborty
2020	A*	`conf`	Active Learning for Multimedia Computing: Survey, Recent Trends and Applications. ACM Multimedia Shayok Chakraborty
2020	A*	`conf`	Asking the Right Questions to the Right Users: Active Learning with Imperfect Oracles. AAAI Shayok Chakraborty
2020	B	`conf`	Budgeted Subset Selection for Fine-tuning Deep Learning Architectures in Resource-Constrained Applications. IJCNN Subhankar Banerjee, Shayok Chakraborty
2020	B	`conf`	Deep Active Transfer Learning for Image Recognition. IJCNN Ankita Singh, Shayok Chakraborty
2020	—	`ch.`	Deep Domain Adaptation for Regression. Development and Analysis of Deep Learning Architectures Ankita Singh, Shayok Chakraborty
2019	A	`conf`	A Generic Active Learning Framework for Class Imbalance Applications. BMVC Aditya R. Bhattacharya, Ji Liu, Shayok Chakraborty
2019	A	`conf`	Active Learning with n-ary Queries for Image Recognition. WACV Aditya R. Bhattacharya, Shayok Chakraborty
2019	B	`conf`	Deepsub: A Novel Subset Selection Framework for Training Deep Learning Architectures. ICIP Subhankar Banerjee, Shayok Chakraborty
2019	A	`conf`	Tracing with Less Data: Active Learning for Classification-Based Traceability Link Recovery. ICSME Chris Mills, Javier Escobar-Avila, Aditya R. Bhattacharya, Grigoriy Kondyukov, Shayok Chakraborty, Sonia Haiduc
2019	C	`conf`	When to Pull Starting Pitchers in Major League Baseball? A Data Mining Approach. ICMLA Michael Woodham, Jason Hawkins, Ankita Singh, Shayok Chakraborty
2018	C	`conf`	Deep Domain Adaptation to Predict Freezing of Gait in Patients with Parkinson's Disease. ICMLA Vishwas G. Torvi, Aditya R. Bhattacharya, Shayok Chakraborty
2018	A	`conf`	Distributed Active Learning for Image Recognition. WACV Shayok Chakraborty
2018	B	`conf`	Multi-Label Deep Active Learning with Label Correlation. ICIP Hiranmayi Ranganathan, Hemanth Venkateswara, Shayok Chakraborty, Sethuraman Panchanathan
2017	A*	`conf`	Deep Hashing Network for Unsupervised Domain Adaptation. CVPR Hemanth Venkateswara, Jose Eusebio, Shayok Chakraborty, Sethuraman Panchanathan
2017	J	`jnl`	Deep Hashing Network for Unsupervised Domain Adaptation. CoRR Hemanth Venkateswara, Jose Eusebio, Shayok Chakraborty, Sethuraman Panchanathan
2017	B	`conf`	Deep active learning for image classification. ICIP Hiranmayi Ranganathan, Hemanth Venkateswara, Shayok Chakraborty, Sethuraman Panchanathan
2017	J	`jnl`	Deep-Learning Systems for Domain Adaptation in Computer Vision: Learning Transferable Feature Representations. IEEE Signal Process. Mag. Hemanth Venkateswara, Shayok Chakraborty, Sethuraman Panchanathan
2017	J	`jnl`	Enriching the Fan Experience in a Smart Stadium Using Internet of Things Technologies. Int. J. Semantic Comput. Sethuraman Panchanathan, Shayok Chakraborty, Troy McDaniel, Ramin Tadayon, Bijan Fakhri, Noel E. O'Connor, Mark Marsden, Suzanne Little, Kevin McGuinness, David S. Monaghan
2017	—	`conf`	Hierarchical learning for automated malware classification. MILCOM Shayok Chakraborty, Jack W. Stokes, Lin Xiao, Dengyong Zhou, Mady Marinescu, Anil Thomas
2017	—	`conf`	Model Selection with Nonlinear Embedding for Unsupervised Domain Adaptation. AAAI Workshops Hemanth Venkateswara, Shayok Chakraborty, Troy McDaniel, Sethuraman Panchanathan
2017	J	`jnl`	Model Selection with Nonlinear Embedding for Unsupervised Domain Adaptation. CoRR Hemanth Venkateswara, Shayok Chakraborty, Troy McDaniel, Sethuraman Panchanathan
2017	J	`jnl`	Nonlinear Embedding Transform for Unsupervised Domain Adaptation. CoRR Hemanth Venkateswara, Shayok Chakraborty, Sethuraman Panchanathan
2016	A	`conf`	Multimodal emotion recognition using deep learning architectures. WACV Hiranmayi Ranganathan, Shayok Chakraborty, Sethuraman Panchanathan
2016	—	`conf`	Nonlinear Embedding Transform for Unsupervised Domain Adaptation. ECCV Workshops (3) Hemanth Venkateswara, Shayok Chakraborty, Sethuraman Panchanathan
2016	J	`jnl`	Person-Centered Multimedia Computing: A New Paradigm Inspired by Assistive and Rehabilitative Applications. IEEE Multim. Sethuraman Panchanathan, Shayok Chakraborty, Troy McDaniel, Ramin Tadayon
2016	C	`conf`	Smart Stadium for Smarter Living: Enriching the Fan Experience. ISM Sethuraman Panchanathan, Shayok Chakraborty, Troy McDaniel, Matt Bunch, Noel E. O'Connor, Suzanne Little, Kevin McGuinness, Mark Marsden
2016	J	`jnl`	Social Interaction Assistant: A Person-Centered Approach to Enrich Social Interactions for Individuals With Visual Impairments. IEEE J. Sel. Top. Signal Process. Sethuraman Panchanathan, Shayok Chakraborty, Troy McDaniel
2016	Misc	`conf`	Transfer of multimodal emotion features in deep belief networks. ACSSC Hiranmayi Ranganathan, Shayok Chakraborty, Sethuraman Panchanathan
2015	J	`jnl`	Active Batch Selection via Convex Relaxations with Guaranteed Solution Bounds. IEEE Trans. Pattern Anal. Mach. Intell. Shayok Chakraborty, Vineeth Nallure Balasubramanian, Qian Sun, Sethuraman Panchanathan, Jieping Ye
2015	J	`jnl`	Adaptive Batch Mode Active Learning. IEEE Trans. Neural Networks Learn. Syst. Shayok Chakraborty, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan
2015	A	`conf`	Adaptive Keyframe Selection for Video Summarization. WACV Shayok Chakraborty, Omesh Tickoo, Ravi Iyer
2015	A*	`conf`	BatchRank: A Novel Batch Mode Active Learning Framework for Hierarchical Classification. KDD Shayok Chakraborty, Vineeth Nallure Balasubramanian, Adepu Ravi Sankar, Sethuraman Panchanathan, Jieping Ye
2015	J	`jnl`	Conformal predictions for information fusion - A comparative study of p-value combination methods. Ann. Math. Artif. Intell. Vineeth Nallure Balasubramanian, Shayok Chakraborty, Sethuraman Panchanathan
2015	A*	`conf`	Towards Distributed Video Summarization. ACM Multimedia Shayok Chakraborty, Omesh Tickoo, Ravishankar R. Iyer
2013	A*	`conf`	Active Matrix Completion. ICDM Shayok Chakraborty, Jiayu Zhou, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan, Ian Davidson, Jieping Ye
2013	—	`—`	Batch Mode Active Learning for Multimedia Pattern Recognition. Shayok Chakraborty
2013	J	`jnl`	Generalized batch mode active learning for face-based biometric recognition. Pattern Recognit. Shayok Chakraborty, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan
2013	Misc	`conf`	PyCP: An Open-Source Conformal Predictions Toolkit. AIAI Vineeth Nallure Balasubramanian, Aaron Baker, Matthew Yanez, Shayok Chakraborty, Sethuraman Panchanathan
2012	C	`conf`	Batch Mode Active Learning for Multimedia Pattern Recognition. ISM Shayok Chakraborty, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan
2011	—	`conf`	Active Batch Selection for Fuzzy Classification in Facial Expression Recognition. ICMLA (1) Shayok Chakraborty, Hemanth Venkateswara, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan
2011	A*	`conf`	Dynamic Batch Mode Active Learning via L1 Regularization. AAAI Shayok Chakraborty, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan
2011	A*	`conf`	Dynamic batch mode active learning. CVPR Shayok Chakraborty, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan
2011	A*	`conf`	Optimal batch selection for active learning in multi-label classification. ACM Multimedia Shayok Chakraborty, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan
2011	—	`conf`	Optimization-Based Domain Adaptation towards Person-Adaptive Classification Models. ICMLA (1) Rita Chattopadhyay, Shayok Chakraborty, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan
2010	C	`conf`	Dynamic Batch Size Selection for Batch Mode Active Learning in Biometrics. ICMLA Shayok Chakraborty, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan
2010	C	`conf`	Kernel Learning for Efficiency Maximization in the Conformal Predictions Framework. ICMLA Vineeth Nallure Balasubramanian, Shayok Chakraborty, Sethuraman Panchanathan, Jieping Ye
2010	—	`conf`	Learning from summaries of videos: Applying batch mode active learning to face-based biometrics. CVPR Workshops Shayok Chakraborty, Vineeth N. Balasubramanian, Sethuraman Panchanathan
2010	—	`conf`	On the Results of the First Mobile Biometry (MOBIO) Face and Speaker Verification Evaluation. ICPR Contests 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
2009	—	`conf`	Generalized Query by Transduction for online active learning. ICCV Workshops Vineeth Balasubramanian, Shayok Chakraborty, Sethuraman Panchanathan
2008	—	`conf`	Multiple cue integration in transductive confidence machines for head pose classification. CVPR Workshops Vineeth N. Balasubramanian, Sethuraman Panchanathan, Shayok Chakraborty
2007	—	`conf`	Document Frauds: Identification and Linking Fake Document to Scanners and Printers. ICCTA Gaurav Gupta, Sanjoy Kumar Saha, Shayok Chakraborty, Chandan Mazumdar