Vijay Mahadevan

According to our database, Vijay Mahadevan authored at least 51 papers between 2004 and 2024.

Collaborative distances:

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

2024

Accelerating multivariate functional approximation computation with domain decomposition techniques.

Vijay Mahadevan, David Lenz, Iulian R. Grindeanu, Thomas Peterka

J. Comput. Sci., 2024

DEED: Dynamic Early Exit on Decoder for Accelerating Encoder-Decoder Transformer Models.

Peng Tang, Pengkai Zhu, Tian Li, Srikar Appalaraju, Vijay Mahadevan, R. Manmatha

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Multiple-Question Multiple-Answer Text-VQA.

Peng Tang, Srikar Appalaraju, R. Manmatha, Yusheng Xie, Vijay Mahadevan

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2024

ICDAR 2024 Competition on Recognition and VQA on Handwritten Documents.

Ajoy Mondal, Vijay Mahadevan, R. Manmatha, C. V. Jawahar

Proceedings of the Document Analysis and Recognition - ICDAR 2024 - 18th International Conference, Athens, Greece, August 30, 2024

DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models.

Sungnyun Kim, Haofu Liao, Srikar Appalaraju, Peng Tang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan, Stefano Soatto

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Enhancing Vision-Language Pre-Training with Rich Supervisions.

Yuan Gao, Kunyu Shi, Pengkai Zhu, Edouard Belval, Oren Nuriel, Srikar Appalaraju, Shabnam Ghadar, Zhuowen Tu, Vijay Mahadevan, Stefano Soatto

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

No Head Left Behind - Multi-Head Alignment Distillation for Transformers.

Tianyang Zhao, Kunwar Yashraj Singh, Srikar Appalaraju, Peng Tang, Vijay Mahadevan, R. Manmatha, Ying Nian Wu

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

2023

Fourier-informed knot placement schemes for B-spline approximation.

David Lenz, Oana Marin, Vijay Mahadevan, Raine Yeh, Tom Peterka

Math. Comput. Simul., November, 2023

Customizable adaptive regularization techniques for B-spline modeling.

David Lenz, Raine Yeh, Vijay Mahadevan, Iulian R. Grindeanu, Tom Peterka

J. Comput. Sci., 2023

Towards Adaptive Refinement for Multivariate Functional Approximation of Scientific Data.

Tom Peterka, David Lenz, Iulian R. Grindeanu, Vijay S. Mahadevan

Proceedings of the 13th IEEE Symposium on Large Data Analysis and Visualization, 2023

DocTr: Document Transformer for Structured Information Extraction in Documents.

Haofu Liao, Aruni RoyChowdhury, Weijian Li, Ankan Bansal, Yuting Zhang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PolyFormer: Referring Image Segmentation as Sequential Polygon Generation.

Jiang Liu, Hui Ding, Zhaowei Cai, Yuting Zhang, Ravi Kumar Satzoda, Vijay Mahadevan, R. Manmatha

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

2022

Parallel Domain Decomposition techniques applied to Multivariate Functional Approximation of discrete data.

Vijay S. Mahadevan, David Lenz, Iulian R. Grindeanu, Thomas Peterka

CoRR, 2022

MATrIX - Modality-Aware Transformer for Information eXtraction.

Thomas Delteil, Edouard Belval, Lei Chen, Luis Goncalves, Vijay Mahadevan

CoRR, 2022

Towards Differential Relational Privacy and its use in Question Answering.

Simone Bombari, Alessandro Achille, Zijian Wang, Yu-Xiang Wang, Yusheng Xie, Kunwar Yashraj Singh, Srikar Appalaraju, Vijay Mahadevan, Stefano Soatto

CoRR, 2022

Contrastive Neighborhood Alignment.

Pengkai Zhu, Zhaowei Cai, Yuanjun Xiong, Zhuowen Tu, Luis Goncalves, Vijay Mahadevan, Stefano Soatto

CoRR, 2022

Adaptive Regularization of B-Spline Models for Scientific Data.

David Lenz, Raine Yeh, Vijay Mahadevan, Iulian R. Grindeanu, Tom Peterka

Proceedings of the Computational Science - ICCS 2022, 2022

2021

Visual Composite Set Detection Using Part-and-Sum Transformers.

Qi Dong, Zhuowen Tu, Haofu Liao, Yuting Zhang, Vijay Mahadevan, Stefano Soatto

CoRR, 2021

LayoutTransformer: Layout Generation and Completion with Self-attention.

Kamal Gupta, Justin Lazarow, Alessandro Achille, Larry Davis, Vijay Mahadevan, Abhinav Shrivastava

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Visual Relationship Detection Using Part-and-Sum Transformers with Composite Queries.

Qi Dong, Zhuowen Tu, Haofu Liao, Yuting Zhang, Vijay Mahadevan, Stefano Soatto

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

End-to-end Piece-wise Unwarping of Document Images.

Sagnik Das, Kunwar Yashraj Singh, Jon Wu, Erhan Bas, Vijay Mahadevan, Rahul Bhotika, Dimitris Samaras

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Layout Generation and Completion with Self-attention.

Kamal Gupta, Alessandro Achille, Justin Lazarow, Larry Davis, Vijay Mahadevan, Abhinav Shrivastava

CoRR, 2020

2019

Toward Understanding Catastrophic Forgetting in Continual Learning.

Cuong V. Nguyen, Alessandro Achille, Michael Lam, Tal Hassner, Vijay Mahadevan, Stefano Soatto

CoRR, 2019

Rational Approximation of Scientific Data.

Youssef S. G. Nashed, Tom Peterka, Vijay Mahadevan, Iulian R. Grindeanu

Proceedings of the Computational Science - ICCS 2019, 2019

Scalable, High-Order Continuity Across Block Boundaries of Functional Approximations Computed in Parallel.

Iulian R. Grindeanu, Tom Peterka, Vijay S. Mahadevan, Youssef S. G. Nashed

Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019

2018

Foundations of Multivariate Functional Approximation for Scientific Data.

Tom Peterka, Youssef S. G. Nashed, Iulian R. Grindeanu, Vijay S. Mahadevan, Raine Yeh, Xavier Tricoche

Proceedings of the 8th IEEE Symposium on Large Data Analysis and Visualization, 2018

2017

Array-based, parallel hierarchical mesh refinement algorithms for unstructured meshes.

Navamita Ray, Iulian R. Grindeanu, Xinglin Zhao, Vijay Mahadevan, Xiangmin Jiao

Comput. Aided Des., 2017

2016

VLAD3: Encoding Dynamics of Deep Features for Action Recognition.

Yingwei Li, Weixin Li, Vijay Mahadevan, Nuno Vasconcelos

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Construction and evaluation of ontological tag trees.

Chetan Kumar Verma, Vijay Mahadevan, Nikhil Rasiwasia, Gaurav Aggarwal, Ravi Kant, Alejandro Jaimes, Sujit Dey

Expert Syst. Appl., 2015

2014

Anomaly Detection and Localization in Crowded Scenes.

Weixin Li, Vijay Mahadevan, Nuno Vasconcelos

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Construction of tag ontological graphs by locally minimizing weighted average hops.

Chetan Kumar Verma, Vijay Mahadevan, Nikhil Rasiwasia, Gaurav Aggarwal, Ravi Kant, Alejandro Jaimes, Sujit Dey

Proceedings of the 23rd International World Wide Web Conference, 2014

Learning Optimal Seeds for Diffusion-Based Salient Object Detection.

Song Lu, Vijay Mahadevan, Nuno Vasconcelos

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Cluster Canonical Correlation Analysis.

Nikhil Rasiwasia, Dhruv Mahajan, Vijay Mahadevan, Gaurav Aggarwal

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013

Biologically Inspired Object Tracking Using Center-Surround Saliency Mechanisms.

Vijay Mahadevan, Nuno Vasconcelos

IEEE Trans. Pattern Anal. Mach. Intell., 2013

2012

Analysis of communication costs for domain decomposed Monte Carlo methods in nuclear reactor analysis.

Andrew R. Siegel, Kord Smith, P. Fischer, Vijay Mahadevan

J. Comput. Phys., 2012

On the connections between saliency and tracking.

Vijay Mahadevan, Nuno Vasconcelos

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011

Generalized Stauffer-Grimson background subtraction for dynamic scenes.

Antoni B. Chan, Vijay Mahadevan, Nuno Vasconcelos

Mach. Vis. Appl., 2011

Maximum Covariance Unfolding : Manifold Learning for Bimodal Data.

Vijay Mahadevan, Chi Wah Wong, José Costa Pereira, Tom Liu, Nuno Vasconcelos, Lawrence K. Saul

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Automatic initialization and tracking using attentional mechanisms.

Vijay Mahadevan, Nuno Vasconcelos

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

A Novel Approach to FRUC Using Discriminant Saliency and Frame Segmentation.

Natan Jacobson, Yen-Lin Lee, Vijay Mahadevan, Nuno Vasconcelos, Truong Q. Nguyen

IEEE Trans. Image Process., 2010

Spatiotemporal Saliency in Dynamic Scenes.

Vijay Mahadevan, Nuno Vasconcelos

IEEE Trans. Pattern Anal. Mach. Intell., 2010

Motion vector refinement for FRUC using saliency and segmentation.

Natan Jacobson, Yen-Lin Lee, Vijay Mahadevan, Nuno Vasconcelos, Truong Q. Nguyen

Proceedings of the 2010 IEEE International Conference on Multimedia and Expo, 2010

On the design of robust classifiers for computer vision.

Hamed Masnadi-Shirazi, Vijay Mahadevan, Nuno Vasconcelos

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Anomaly detection in crowded scenes.

Vijay Mahadevan, Weixin Li, Viral Bhalodia, Nuno Vasconcelos

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

Saliency-based discriminant tracking.

Vijay Mahadevan, Nuno Vasconcelos

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

Improved Detection of the Central Reflex in Retinal Vessels Using a Generalized Dual-Gaussian Model and Robust Hypothesis Testing.

Harihar Narasimha-Iyer, Vijay Mahadevan, James M. Beach, Badrinath Roysam

IEEE Trans. Inf. Technol. Biomed., 2008

Background subtraction in highly dynamic scenes.

Vijay Mahadevan, Nuno Vasconcelos

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

The discriminant center-surround hypothesis for bottom-up saliency.

Dashan Gao, Vijay Mahadevan, Nuno Vasconcelos

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Quantization Based Blind Watermarking Algorithm Using DWT.

Shikha Tripathi, Sai Krishnan Ramachandran, Vijay Mahadevan

Proceedings of the 2007 International Conference on Image Processing, 2007

2005

Complexity analysis of angiogenesis vasculature.

Vijay Mahadevan, James Alexander Tyrrell, Ricky T. Tong, Edward B. Brown, Rakesh K. Jain, Badrinath Roysam

Proceedings of the Medical Imaging 2005: Image Processing, 2005

2004

Robust model-based vasculature detection in noisy biomedical images.

Vijay Mahadevan, Harihar Narasimha-Iyer, Badrinath Roysam, Howard L. Tanenbaum

IEEE Trans. Inf. Technol. Biomed., 2004