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)

Complexity analysis of angiogenesis vasculature. - Vijay Mahadevan; James Alexander Tyrrell; Ricky T. Tong; Edward B. Brown; Rakesh K. Jain; Badrinath Roysam (Image Processing, 2005)

Quantization Based Blind Watermarking Algorithm Using DWT. - Shikha Tripathi; Sai Krishnan Ramachandran; Vijay Mahadevan (IPCV, 2007)

The discriminant center-surround hypothesis for bottom-up saliency. - Dashan Gao 001; Vijay Mahadevan; Nuno Vasconcelos (NIPS, 2007)

Background subtraction in highly dynamic scenes. - Vijay Mahadevan; Nuno Vasconcelos (CVPR, 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)

Saliency-based discriminant tracking. - Vijay Mahadevan; Nuno Vasconcelos (CVPR, 2009)

Anomaly detection in crowded scenes. - Vijay Mahadevan; Weixin Li 002; Viral Bhalodia; Nuno Vasconcelos (CVPR, 2010)

On the design of robust classifiers for computer vision. - Hamed Masnadi-Shirazi; Vijay Mahadevan; Nuno Vasconcelos (CVPR, 2010)

Motion vector refinement for FRUC using saliency and segmentation. - Natan Jacobson; Yen-Lin Lee; Vijay Mahadevan; Nuno Vasconcelos; Truong Q. Nguyen (ICME, 2010)

Spatiotemporal Saliency in Dynamic Scenes. - Vijay Mahadevan; Nuno Vasconcelos (IEEE Trans. Pattern Anal. Mach. Intell., 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)

Automatic initialization and tracking using attentional mechanisms. - Vijay Mahadevan; Nuno Vasconcelos (CVPR Workshops, 2011)

Maximum Covariance Unfolding : Manifold Learning for Bimodal Data. - Vijay Mahadevan; Chi Wah Wong; José Costa Pereira; Tom Liu; Nuno Vasconcelos; Lawrence K. Saul (NIPS, 2011)

Generalized Stauffer-Grimson background subtraction for dynamic scenes. - Antoni B. Chan; Vijay Mahadevan; Nuno Vasconcelos (Mach. Vis. Appl., 2011)

On the connections between saliency and tracking. - Vijay Mahadevan; Nuno Vasconcelos (NIPS, 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)

Biologically Inspired Object Tracking Using Center-Surround Saliency Mechanisms. - Vijay Mahadevan; Nuno Vasconcelos (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Cluster Canonical Correlation Analysis. - Nikhil Rasiwasia; Dhruv Mahajan 001; Vijay Mahadevan; Gaurav Aggarwal (AISTATS, 2014)

Learning Optimal Seeds for Diffusion-Based Salient Object Detection. - Song Lu; Vijay Mahadevan; Nuno Vasconcelos (CVPR, 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 (WWW (Companion Volume), 2014)

Anomaly Detection and Localization in Crowded Scenes. - Weixin Li 002; Vijay Mahadevan; Nuno Vasconcelos (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

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)

VLAD3: Encoding Dynamics of Deep Features for Action Recognition. - Yingwei Li 001; Weixin Li 002; Vijay Mahadevan; Nuno Vasconcelos (CVPR, 2016)

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)

Foundations of Multivariate Functional Approximation for Scientific Data. - Tom Peterka; Youssef S. G. Nashed; Iulian R. Grindeanu; Vijay S. Mahadevan; Raine Yeh; Xavier Tricoche (LDAV, 2018)

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 (CLUSTER, 2019)

Rational Approximation of Scientific Data. - Youssef S. G. Nashed; Tom Peterka; Vijay Mahadevan; Iulian R. Grindeanu (ICCS (1), 2019)

Toward Understanding Catastrophic Forgetting in Continual Learning. - Cuong V. Nguyen; Alessandro Achille; Michael Lam; Tal Hassner; Vijay Mahadevan; Stefano Soatto (CoRR, 2019)

Layout Generation and Completion with Self-attention. - Kamal Gupta 002; Alessandro Achille; Justin Lazarow; Larry Davis 001; Vijay Mahadevan; Abhinav Shrivastava (CoRR, 2020)

End-to-end Piece-wise Unwarping of Document Images. - Sagnik Das; Kunwar Yashraj Singh; Jon Wu; Erhan Bas; Vijay Mahadevan; Rahul Bhotika; Dimitris Samaras (ICCV, 2021)

Visual Relationship Detection Using Part-and-Sum Transformers with Composite Queries. - Qi Dong; Zhuowen Tu; Haofu Liao; Yuting Zhang; Vijay Mahadevan; Stefano Soatto (ICCV, 2021)

LayoutTransformer: Layout Generation and Completion with Self-attention. - Kamal Gupta 002; Justin Lazarow; Alessandro Achille; Larry Davis 001; Vijay Mahadevan; Abhinav Shrivastava (ICCV, 2021)

Visual Composite Set Detection Using Part-and-Sum Transformers. - Qi Dong; Zhuowen Tu; Haofu Liao; Yuting Zhang; Vijay Mahadevan; Stefano Soatto (CoRR, 2021)

Adaptive Regularization of B-Spline Models for Scientific Data. - David Lenz 002; Raine Yeh; Vijay Mahadevan; Iulian R. Grindeanu; Tom Peterka (ICCS (1), 2022)

Contrastive Neighborhood Alignment. - Pengkai Zhu; Zhaowei Cai; Yuanjun Xiong; Zhuowen Tu; Luis Goncalves; Vijay Mahadevan; Stefano Soatto (CoRR, 2022)

Towards Differential Relational Privacy and its use in Question Answering. - Simone Bombari; Alessandro Achille; Zijian Wang 002; Yu-Xiang Wang 003; Yusheng Xie; Kunwar Yashraj Singh; Srikar Appalaraju; Vijay Mahadevan; Stefano Soatto (CoRR, 2022)

MATrIX - Modality-Aware Transformer for Information eXtraction. - Thomas Delteil; Edouard Belval; Lei Chen; Luis Goncalves; Vijay Mahadevan (CoRR, 2022)

Parallel Domain Decomposition techniques applied to Multivariate Functional Approximation of discrete data. - Vijay S. Mahadevan; David Lenz 002; Iulian R. Grindeanu; Thomas Peterka (CoRR, 2022)

PolyFormer: Referring Image Segmentation as Sequential Polygon Generation. - Jiang Liu; Hui Ding; Zhaowei Cai; Yuting Zhang; Ravi Kumar Satzoda; Vijay Mahadevan; R. Manmatha (CVPR, 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 (ICCV, 2023)

Towards Adaptive Refinement for Multivariate Functional Approximation of Scientific Data. - Tom Peterka; David Lenz 002; Iulian R. Grindeanu; Vijay S. Mahadevan (LDAV, 2023)

Customizable adaptive regularization techniques for B-spline modeling. - David Lenz 002; Raine Yeh; Vijay Mahadevan; Iulian R. Grindeanu; Tom Peterka (J. Comput. Sci., 2023)

Fourier-informed knot placement schemes for B-spline approximation. - David Lenz 002; Oana Marin; Vijay Mahadevan; Raine Yeh; Tom Peterka (Math. Comput. Simul., 2023)

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 (AAAI, 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 (CVPR, 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 (EMNLP, 2024)

ICDAR 2024 Competition on Recognition and VQA on Handwritten Documents. - Ajoy Mondal; Vijay Mahadevan; R. Manmatha; C. V. Jawahar (ICDAR (6), 2024)

Multiple-Question Multiple-Answer Text-VQA. - Peng Tang; Srikar Appalaraju; R. Manmatha; Yusheng Xie; Vijay Mahadevan (NAACL (Industry Track), 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 (NAACL-HLT (Findings), 2024)

Accelerating multivariate functional approximation computation with domain decomposition techniques. - Vijay Mahadevan; David Lenz 002; Iulian R. Grindeanu; Thomas Peterka (J. Comput. Sci., 2024)

REMORA: Regional Modeling of Oceans Refined Adaptively (built on AMReX). - Hannah Klion; Robert Hetland; Jean M. Sexton; Ann S. Almgren; Iulian R. Grindeanu; Kyle Hinson; Vijay Mahadevan (J. Open Source Softw., 2025)