Abhinav Shukla

According to our database, Abhinav Shukla authored at least 18 papers between 2012 and 2026.

Collaborative distances:

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

2026

A cryptographic-inspired credibility score integrated with deep learning for reliable election poll forecasting.

Dipayan Roy, Abhinav Shukla, Ram Krishna Akuli, Parul Dubey

Discov. Artif. Intell., December, 2026

Explainability-Inspired Layer-Wise Pruning of Deep Neural Networks for Efficient Object Detection.

Abhinav Shukla, Nachiket Tapas

CoRR, February, 2026

Attention-Based Transformer Framework with Predictive Uncertainty Quantification for Multi-Crop Yield Forecasting.

Bharat Lal, Abhinav Shukla, Ayush Kumar Agrawal, R. Kanesaraj Ramasamy, Parul Dubey

Comput., 2026

A Hybrid Transformer-Graph Framework for Curriculum Sequencing and Prerequisite Optimization in Computer Science Education with Explainable AI.

Ritika Awasthi, Abhinav Shukla, Ayush Kumar Agrawal, Parul Dubey, R. Kanesaraj Ramasamy

Algorithms, 2026

2024

MatMamba: A Matryoshka State Space Model.

Abhinav Shukla, Sai Vemprala, Aditya Kusupati, Ashish Kapoor

CoRR, 2024

2023

Does Visual Self-Supervision Improve Learning of Speech Representations for Emotion Recognition?

Abhinav Shukla, Stavros Petridis, Maja Pantic

IEEE Trans. Affect. Comput., 2023

GRID: A Platform for General Robot Intelligence Development.

Sai Vemprala, Shuhang Chen, Abhinav Shukla, Dinesh Narayanan, Ashish Kapoor

CoRR, 2023

Egocentric Auditory Attention Localization in Conversations.

Fiona Ryan, Hao Jiang, Abhinav Shukla, James M. Rehg, Vamsi Krishna Ithapu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Recognition of Advertisement Emotions With Application to Computational Advertising.

Abhinav Shukla, Shruti Shriya Gullapuram, Harish Katti, Mohan S. Kankanhalli, Stefan Winkler, Ramanathan Subramanian

IEEE Trans. Affect. Comput., 2022

2020

Learning Speech Representations from Raw Audio by Joint Audiovisual Self-Supervision.

Abhinav Shukla, Stavros Petridis, Maja Pantic

CoRR, 2020

Does Visual Self-Supervision Improve Learning of Speech Representations?

Abhinav Shukla, Stavros Petridis, Maja Pantic

CoRR, 2020

Learning Self-Supervised Multimodal Representations of Human Behaviour.

Abhinav Shukla

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Visually Guided Self Supervised Learning of Speech Representations.

Abhinav Shukla, Konstantinos Vougioukas, Pingchuan Ma, Stavros Petridis, Maja Pantic

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2018

Engagement Estimation in Advertisement Videos with EEG.

Sangeetha Balasubramanian, Shruti Shriya Gullapuram, Abhinav Shukla

CoRR, 2018

Looking Beyond a Clever Narrative: Visual Context and Attention are Primary Drivers of Affect in Video Advertisements.

Abhinav Shukla, Harish Katti, Mohan S. Kankanhalli, Ramanathan Subramanian

Proceedings of the 2018 on International Conference on Multimodal Interaction, 2018

2017

Affect Recognition in Ads with Application to Computational Advertising.

Abhinav Shukla, Shruti Shriya Gullapuram, Harish Katti, Karthik Yadati, Mohan S. Kankanhalli, Ramanathan Subramanian

Proceedings of the 2017 ACM on Multimedia Conference, 2017

Evaluating content-centric vs. user-centric ad affect recognition.

Abhinav Shukla, Shruti Shriya Gullapuram, Harish Katti, Karthik Yadati, Mohan S. Kankanhalli, Ramanathan Subramanian

Proceedings of the 19th ACM International Conference on Multimodal Interaction, 2017

2012

A grammar-based GUI for single view reconstruction.

Dakshita Khurana, Surabhi Sankhla, Abhinav Shukla, Richa Varshney, Prem Kalra, Subhashis Banerjee

Proceedings of the Eighth Indian Conference on Vision, Graphics and Image Processing, 2012