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ORCIDKumar Shubham
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2020 – today
- 2024
[j4]Dipendra Chandra Swarnkar, Akhileshwar Kumar Singh, Kumar Shubham
:
Application of ANN for prediction of settlement of ring foundation. Signal Image Video Process. 18(11): 7537-7554 (2024)- [c14]Kumar Shubham, Pranav Sastry, Prathosh AP:
Fusing Conditional Submodular GAN and Programmatic Weak Supervision. AAAI 2024: 15020-15028 - [c13]Kumar Shubham, Aishwarya Jayagopal, Syed Mohammed Danish, Prathosh A. P., Vaibhav Rajan:
WISER: Weak Supervision and Supervised Representation Learning to Improve Drug Response Prediction in Cancer. ICML 2024 - [i6]Kumar Shubham, Aishwarya Jayagopal, Syed Mohammed Danish, Prathosh AP, Vaibhav Rajan:
WISER: Weak supervISion and supErvised Representation learning to improve drug response prediction in cancer. CoRR abs/2405.04078 (2024) - 2023
- [j3]Emmanuelle Patricia Kleinlogel, Laetitia A. Renier, Marianne Schmid Mast, Dinesh Babu Jayagopi, Kumar Shubham:
From low invasiveness to high control: how artificial intelligence allows to generate a large pool of standardized corpora at a lesser cost. Frontiers Comput. Sci. 5 (2023) - [j2]Kumar Shubham, Vivek Tiwari, Kuldip Singh Patel:
Predictive Learning Methods to Price European Options Using Ensemble Model and Multi-asset Data. Int. J. Artif. Intell. Tools 32(7): 2350034:1-2350034:25 (2023) - [i5]Piyush Tiwary, Kumar Shubham, Vivek Kashyap, Prathosh A. P.:
Constructing Bayesian Pseudo-Coresets using Contrastive Divergence. CoRR abs/2303.11278 (2023) - [i4]Kumar Shubham, Pranav Sastry, Prathosh AP:
Fusing Conditional Submodular GAN and Programmatic Weak Supervision. CoRR abs/2312.10366 (2023) - 2022
- [c12]Kumar Shubham, Laxmi Narayen Nagarajan Venkatesan, Dinesh Babu Jayagopi, Raj Tumuluri:
Multimodal Embodied Conversational Agents: A discussion of architectures, frameworks and modules for commercial applications. AIVR 2022: 36-45 - [c11]Jinal Hitesh Thakkar, Pooja Rao S. B., Kumar Shubham, Vaibhav Jain, Dinesh Babu Jayagopi:
Understanding Interviewees' Perceptions and Behaviour towards Verbally and Non-verbally Expressive Virtual Interviewing Agents. ICMI Companion 2022: 61-69 - [c10]Kumar Shubham, Anirban Mukherjee, Dinesh Babu Jayagopi:
Review of realistic behavior and appearance generation in embodied conversational agents: A comparison between traditional and modern approaches. ICMI 2022: 191-197 - [c9]Ravi Kiran Reddy Kotlo Budde, Kumar Shubham, Gopalakrishnan Venkatesh, Sriram Gandikota, Sarthak Khoche, Dinesh Babu Jayagopi, Gopalakrishnan Srinivasaraghavan:
One shot learning in StyleALAE: Preserving facial identity during semantic modification. ICVGIP 2022: 16:1-16:7 - [c8]Swasti Shreya Mishra, Kumar Shubham, Dinesh Babu Jayagopi:
A Hybrid Rigid and Non-Rigid Motion Approximation for Generating Realistic Listening Behavior Videos. ICVGIP 2022: 32:1-32:6 - 2021
- [c7]Marcos V. Conde, Kumar Shubham, Prateek Agnihotri, Nitin D. Movva, Szilard Bessenyei:
Weakly-Supervised Classification and Detection of Bird Sounds in the Wild. A BirdCLEF 2021 Solution. CLEF (Working Notes) 2021: 1547-1558 - [c6]Rahil Satyanarayan Vijay, Kumar Shubham, Laetitia Aurelie Renier, Emmanuelle Patricia Kleinlogel, Marianne Schmid Mast, Dinesh Babu Jayagopi:
An Opportunity to Investigate the Role of Specific Nonverbal Cues and First Impression in Interviews using Deepfake Based Controlled Video Generation. ICMI Companion 2021: 148-152 - [c5]Kumar Shubham, Gopalakrishnan Venkatesh, Reijul Sachdev, Akshi, Dinesh Babu Jayagopi, G. Srinivasaraghavan:
Learning a Deep Reinforcement Learning Policy Over the Latent Space of a Pre-trained GAN for Semantic Age Manipulation. IJCNN 2021: 1-8 - [c4]Roopak Rastogi, Kumar Shubham, Dinesh Babu Jayagopi:
A Multi Task Approach to Improve Face and Body Generation in Pose Transfer. IVSP 2021: 87-94 - [i3]Marcos V. Conde, Kumar Shubham, Prateek Agnihotri, Nitin D. Movva, Szilard Bessenyei:
Weakly-Supervised Classification and Detection of Bird Sounds in the Wild. A BirdCLEF 2021 Solution. CoRR abs/2107.04878 (2021) - [i2]Ravi Kiran Reddy, Kumar Shubham, Gopalakrishnan Venkatesh, Sriram Gandikota, Sarthak Khoche, Dinesh Babu Jayagopi, Gopalakrishnan Srinivasaraghavan:
One-shot domain adaptation for semantic face editing of real world images using StyleALAE. CoRR abs/2108.13876 (2021) - 2020
- [j1]Dhanalakshmi Samiappan, A. V. S. Kesarikiran, Venkatesh Chakravartula, C. R. Uma Kumari, Kumar Shubham, Bolisetty Aakash, R. Kumar:
Enhancing Sensitivity of Fiber Bragg Grating-Based Temperature Sensors through Teflon Coating. Wirel. Pers. Commun. 110(2): 593-604 (2020) - [c3]Kumar Shubham, Emmanuelle Patricia Kleinlogel, Anaïs Butera, Marianne Schmid Mast, Dinesh Babu Jayagopi:
Conventional and Non-conventional Job Interviewing Methods: A Comparative Study in Two Countries. ICMI 2020: 620-624 - [i1]Kumar Shubham, Gopalakrishnan Venkatesh, Reijul Sachdev, Akshi, Dinesh Babu Jayagopi, G. Srinivasaraghavan:
Learning a Deep Reinforcement Learning Policy Over the Latent Space of a Pre-trained GAN for Semantic Age Manipulation. CoRR abs/2011.00954 (2020)
2000 – 2009
- 2007
- [c2]Lipika Dey, Muhammad Abulaish, Rohit Goyal, Kumar Shubham:
A Rough-Fuzzy Ontology Generation Framework and Its Application to Bio-medical Text Processing. AWIC 2007: 74-79 - 2006
- [c1]Saurabh Gupta, Rohit Goyal, Kumar Shubham, Lipika Dey, A. Malik, Santanu Chaudhury, S. Bhattacharya:
Knowledge Discovery from Semi-Structured Data for Conceptual Organization. IAT Workshops 2006: 291-294
Coauthor Index
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