Subhankar Ghosh
Orcid: 0000-0003-3242-3406
According to our database1,
Subhankar Ghosh
authored at least 62 papers
between 2011 and 2025.
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Bibliography
2025
CoRR, June, 2025
CoRR, May, 2025
CoRR, March, 2025
CoRR, February, 2025
Exploring Mutual Cross-Modal Attention for Context-Aware Human Affordance Generation.
CoRR, February, 2025
Koel-TTS: Enhancing LLM based Speech Generation with Preference Alignment and Classifier Free Guidance.
CoRR, February, 2025
Signal Image Video Process., January, 2025
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025
Low Frame-rate Speech Codec: a Codec Designed for Fast High-quality Speech LLM Training and Inference.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025
2024
ACM Trans. Intell. Syst. Technol., October, 2024
Shallow Convolutional Neural Network for COVID-19 Outbreak Screening Using Chest X-rays.
Cogn. Comput., July, 2024
Multim. Tools Appl., April, 2024
Visual Counter Turing Test (VCT<sup>2</sup>): Discovering the Challenges for AI-Generated Image Detection and Introducing Visual AI Index (V<sub>AI</sub>).
CoRR, 2024
Towards Kriging-informed Conditional Diffusion for Regional Sea-Level Data Downscaling.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024
Proceedings of the Pattern Recognition - 27th International Conference, 2024
d-Sketch: Improving Visual Fidelity of Sketch-to-Image Translation with Pretrained Latent Diffusion Models without Retraining.
Proceedings of the Pattern Recognition - 27th International Conference, 2024
Proceedings of the Pattern Recognition - 27th International Conference, 2024
SALM: Speech-Augmented Language Model with in-Context Learning for Speech Recognition and Translation.
Proceedings of the IEEE International Conference on Acoustics, 2024
Towards Kriging-informed Conditional Diffusion for Regional Sea-Level Data Downscaling: A Summary of Results.
Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2024
Towards Statistically Significant Taxonomy Aware Co-Location Pattern Detection (Short Paper).
Proceedings of the 16th International Conference on Spatial Information Theory, 2024
2023
Trans. Emerg. Telecommun. Technol., December, 2023
Reducing Uncertainty in Sea-level Rise Prediction: A Spatial-variability-aware Approach.
CoRR, 2023
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023
Vani: Very-Lightweight Accent-Controllable TTS for Native And Non-Native Speakers With Identity Preservation.
Proceedings of the IEEE International Conference on Acoustics, 2023
Reducing False Discoveries in Statistically-Significant Regional-Colocation Mining: A Summary of Results.
Proceedings of the 12th International Conference on Geographic Information Science, 2023
Improving Uncertainty Quantification of Deep Classifiers via Neighborhood Conformal Prediction: Novel Algorithm and Theoretical Analysis.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Virtual-reality-based digital twin of office spaces with social distance measurement feature.
Virtual Real. Intell. Hardw., 2022
Autoregressive moving average based anycast with support vector machine clustering in mobile ad-hoc networks.
Trans. Emerg. Telecommun. Technol., 2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022
Towards geographically robust statistically significant regional colocation pattern detection.
Proceedings of the 5th ACM SIGSPATIAL International Workshop on GeoSpatial Simulation, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
2021
ARMA Model Based Anycast AODV (ARMA-AAODV) for Performance Improvement in Scalable Mobile Ad Hoc Networks.
Int. J. Wirel. Inf. Networks, 2021
CoRR, 2021
Deep neural network to detect COVID-19: one architecture for both CT Scans and Chest X-rays.
Appl. Intell., 2021
Proceedings of the VRST '21: 27th ACM Symposium on Virtual Reality Software and Technology, Virtual Event / Osaka, Japan, December 8, 2021
Adversarial Training of Variational Auto-encoders for Continual Zero-shot Learning(A-CZSL).
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
CAAI Trans. Intell. Technol., 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Deep learning for spoken language identification: Can we visualize speech signal patterns?
Neural Comput. Appl., 2019
Proceedings of the Pattern Recognition - 5th Asian Conference, 2019
2018
Proceedings of the 16th International Conference on Frontiers in Handwriting Recognition, 2018
2014
Online Stroke and Akshara Recognition GUI in Assamese Language Using Hidden Markov Model.
CoRR, 2014
2013
Proceedings of the Fourth National Conference on Computer Vision, 2013
2012
Proceedings of the Proceeding of the workshop on Document Analysis and Recognition, 2012
2011
Fuzzy-Controlled Energy-Efficient Weight-Based Two Hop Clustering for Multicast Communication in Mobile Ad Hoc Networks.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2011