Kumar Shubham

According to our database, Kumar Shubham authored at least 20 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Application of ANN for prediction of settlement of ring foundation.

Dipendra Chandra Swarnkar, Akhileshwar Kumar Singh, Kumar Shubham

Signal Image Video Process., November, 2024

WISER: Weak Supervision and Supervised Representation Learning to Improve Drug Response Prediction in Cancer.

Kumar Shubham, Aishwarya Jayagopal, Syed Mohammed Danish, Prathosh A. P., Vaibhav Rajan

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Fusing Conditional Submodular GAN and Programmatic Weak Supervision.

Kumar Shubham, Pranav Sastry, Prathosh AP

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Predictive Learning Methods to Price European Options Using Ensemble Model and Multi-asset Data.

Kumar Shubham, Vivek Tiwari, Kuldip Singh Patel

Int. J. Artif. Intell. Tools, November, 2023

From low invasiveness to high control: how artificial intelligence allows to generate a large pool of standardized corpora at a lesser cost.

Emmanuelle Patricia Kleinlogel, Laetitia A. Renier, Marianne Schmid Mast, Dinesh Babu Jayagopi, Kumar Shubham

Frontiers Comput. Sci., 2023

Constructing Bayesian Pseudo-Coresets using Contrastive Divergence.

Piyush Tiwary, Kumar Shubham, Vivek Kashyap, Prathosh A. P.

CoRR, 2023

2022

A Hybrid Rigid and Non-Rigid Motion Approximation for Generating Realistic Listening Behavior Videos.

Swasti Shreya Mishra, Kumar Shubham, Dinesh Babu Jayagopi

Proceedings of the Thirteenth Indian Conference on Computer Vision, 2022

One shot learning in StyleALAE: Preserving facial identity during semantic modification.

Ravi Kiran Reddy Kotlo Budde, Kumar Shubham, Gopalakrishnan Venkatesh, Sriram Gandikota, Sarthak Khoche, Dinesh Babu Jayagopi, Gopalakrishnan Srinivasaraghavan

Proceedings of the Thirteenth Indian Conference on Computer Vision, 2022

Understanding Interviewees' Perceptions and Behaviour towards Verbally and Non-verbally Expressive Virtual Interviewing Agents.

Jinal Hitesh Thakkar, Pooja Rao S. B., Kumar Shubham, Vaibhav Jain, Dinesh Babu Jayagopi

Proceedings of the International Conference on Multimodal Interaction, 2022

Review of realistic behavior and appearance generation in embodied conversational agents: A comparison between traditional and modern approaches.

Kumar Shubham, Anirban Mukherjee, Dinesh Babu Jayagopi

Proceedings of the International Conference on Multimodal Interaction, 2022

Multimodal Embodied Conversational Agents: A discussion of architectures, frameworks and modules for commercial applications.

Kumar Shubham, Laxmi Narayen Nagarajan Venkatesan, Dinesh Babu Jayagopi, Raj Tumuluri

Proceedings of the IEEE International Conference on Artificial Intelligence and Virtual Reality, 2022

2021

One-shot domain adaptation for semantic face editing of real world images using StyleALAE.

Ravi Kiran Reddy, Kumar Shubham, Gopalakrishnan Venkatesh, Sriram Gandikota, Sarthak Khoche, Dinesh Babu Jayagopi, Gopalakrishnan Srinivasaraghavan

CoRR, 2021

A Multi Task Approach to Improve Face and Body Generation in Pose Transfer.

Roopak Rastogi, Kumar Shubham, Dinesh Babu Jayagopi

Proceedings of the IVSP 2021: 3rd International Conference on Image, 2021

Learning a Deep Reinforcement Learning Policy Over the Latent Space of a Pre-trained GAN for Semantic Age Manipulation.

Kumar Shubham, Gopalakrishnan Venkatesh, Reijul Sachdev, Akshi, Dinesh Babu Jayagopi, G. Srinivasaraghavan

Proceedings of the International Joint Conference on Neural Networks, 2021

An Opportunity to Investigate the Role of Specific Nonverbal Cues and First Impression in Interviews using Deepfake Based Controlled Video Generation.

Rahil Satyanarayan Vijay, Kumar Shubham, Laetitia Aurelie Renier, Emmanuelle Patricia Kleinlogel, Marianne Schmid Mast, Dinesh Babu Jayagopi

Proceedings of the ICMI '21 Companion: Companion Publication of the 2021 International Conference on Multimodal Interaction, Montreal, QC, Canada, October 18, 2021

Weakly-Supervised Classification and Detection of Bird Sounds in the Wild. A BirdCLEF 2021 Solution.

Marcos V. Conde, Kumar Shubham, Prateek Agnihotri, Nitin D. Movva, Szilard Bessenyei

Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021

2020

Enhancing Sensitivity of Fiber Bragg Grating-Based Temperature Sensors through Teflon Coating.

Dhanalakshmi Samiappan, A. V. S. Kesarikiran, Venkatesh Chakravartula, C. R. Uma Kumari, Kumar Shubham, Bolisetty Aakash, R. Kumar

Wirel. Pers. Commun., 2020

Conventional and Non-conventional Job Interviewing Methods: A Comparative Study in Two Countries.

Kumar Shubham, Emmanuelle Patricia Kleinlogel, Anaïs Butera, Marianne Schmid Mast, Dinesh Babu Jayagopi

Proceedings of the ICMI '20: International Conference on Multimodal Interaction, 2020

2007

A Rough-Fuzzy Ontology Generation Framework and Its Application to Bio-medical Text Processing.

Lipika Dey, Muhammad Abulaish, Rohit Goyal, Kumar Shubham

Proceedings of the Advances in Intelligent Web Mastering, Proceedings of the 5th Atlantic Web Intelligence Conference - AWIC 2007, Fontainebleau, France, June 25, 2007

2006

Knowledge Discovery from Semi-Structured Data for Conceptual Organization.

Saurabh Gupta, Rohit Goyal, Kumar Shubham, Lipika Dey, A. Malik, Santanu Chaudhury, S. Bhattacharya

Proceedings of the 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2006