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ORCIDVijay Mahadevan
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2020 – today
- 2024
[j13]Vijay Mahadevan, David Lenz, Iulian R. Grindeanu, Thomas Peterka:
Accelerating multivariate functional approximation computation with domain decomposition techniques. J. Comput. Sci. 78: 102268 (2024)- [c32]Tianyang Zhao, Kunwar Yashraj Singh, Srikar Appalaraju, Peng Tang, Vijay Mahadevan, R. Manmatha, Ying Nian Wu:
No Head Left Behind - Multi-Head Alignment Distillation for Transformers. AAAI 2024: 7514-7524 - [c31]Yuan Gao, Kunyu Shi, Pengkai Zhu, Edouard Belval, Oren Nuriel, Srikar Appalaraju, Shabnam Ghadar, Zhuowen Tu, Vijay Mahadevan, Stefano Soatto:
Enhancing Vision-Language Pre-Training with Rich Supervisions. CVPR 2024: 13480-13491 - [c30]Sungnyun Kim, Haofu Liao, Srikar Appalaraju, Peng Tang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan, Stefano Soatto:
DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models. EMNLP 2024: 3167-3193 - [c29]Ajoy Mondal, Vijay Mahadevan, R. Manmatha, C. V. Jawahar:
ICDAR 2024 Competition on Recognition and VQA on Handwritten Documents. ICDAR (6) 2024: 426-442 - [c28]Peng Tang, Srikar Appalaraju, R. Manmatha, Yusheng Xie, Vijay Mahadevan:
Multiple-Question Multiple-Answer Text-VQA. NAACL (Industry Track) 2024: 73-88 - [c27]Peng Tang, Pengkai Zhu, Tian Li, Srikar Appalaraju, Vijay Mahadevan, R. Manmatha:
DEED: Dynamic Early Exit on Decoder for Accelerating Encoder-Decoder Transformer Models. NAACL-HLT (Findings) 2024: 116-131 - [i16]Yuan Gao, Kunyu Shi, Pengkai Zhu, Edouard Belval, Oren Nuriel, Srikar Appalaraju, Shabnam Ghadar, Vijay Mahadevan, Zhuowen Tu, Stefano Soatto:
Enhancing Vision-Language Pre-training with Rich Supervisions. CoRR abs/2403.03346 (2024) - [i15]Sungnyun Kim, Haofu Liao, Srikar Appalaraju, Peng Tang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan, Stefano Soatto:
DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models. CoRR abs/2410.03061 (2024) - 2023
- [j12]David Lenz
, Raine Yeh, Vijay Mahadevan, Iulian R. Grindeanu, Tom Peterka:
Customizable adaptive regularization techniques for B-spline modeling. J. Comput. Sci. 71: 102037 (2023) - [j11]David Lenz, Oana Marin, Vijay Mahadevan, Raine Yeh, Tom Peterka:
Fourier-informed knot placement schemes for B-spline approximation. Math. Comput. Simul. 213: 374-393 (2023) - [c26]Jiang Liu, Hui Ding, Zhaowei Cai, Yuting Zhang, Ravi Kumar Satzoda, Vijay Mahadevan, R. Manmatha:
PolyFormer: Referring Image Segmentation as Sequential Polygon Generation. CVPR 2023: 18653-18663 - [c25]Vijay Mahadevan, David Lenz, Iulian R. Grindeanu, Thomas Peterka:
Accelerating Multivariate Functional Approximation Computation with Domain Decomposition Techniques. ICCS (1) 2023: 89-103 - [c24]Haofu Liao, Aruni RoyChowdhury, Weijian Li, Ankan Bansal, Yuting Zhang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan:
DocTr: Document Transformer for Structured Information Extraction in Documents. ICCV 2023: 19527-19537 - [c23]Tom Peterka, David Lenz, Iulian R. Grindeanu, Vijay S. Mahadevan:
Towards Adaptive Refinement for Multivariate Functional Approximation of Scientific Data. LDAV 2023: 32-41 - [i14]David Lenz, Raine Yeh, Vijay Mahadevan, Iulian R. Grindeanu, Tom Peterka:
Customizable Adaptive Regularization Techniques for B-Spline Modeling. CoRR abs/2301.01209 (2023) - [i13]Jiang Liu, Hui Ding, Zhaowei Cai, Yuting Zhang, Ravi Kumar Satzoda, Vijay Mahadevan, R. Manmatha:
PolyFormer: Referring Image Segmentation as Sequential Polygon Generation. CoRR abs/2302.07387 (2023) - [i12]Haofu Liao, Aruni RoyChowdhury, Weijian Li, Ankan Bansal, Yuting Zhang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan:
DocTr: Document Transformer for Structured Information Extraction in Documents. CoRR abs/2307.07929 (2023) - [i11]Peng Tang, Srikar Appalaraju, R. Manmatha, Yusheng Xie, Vijay Mahadevan:
Multiple-Question Multiple-Answer Text-VQA. CoRR abs/2311.08622 (2023) - [i10]Peng Tang, Pengkai Zhu, Tian Li, Srikar Appalaraju, Vijay Mahadevan, R. Manmatha:
DEED: Dynamic Early Exit on Decoder for Accelerating Encoder-Decoder Transformer Models. CoRR abs/2311.08623 (2023) - 2022
- [c22]David Lenz, Raine Yeh, Vijay Mahadevan, Iulian R. Grindeanu, Tom Peterka:
Adaptive Regularization of B-Spline Models for Scientific Data. ICCS (1) 2022: 150-163 - [i9]Pengkai Zhu, Zhaowei Cai, Yuanjun Xiong, Zhuowen Tu, Luis Goncalves, Vijay Mahadevan, Stefano Soatto:
Contrastive Neighborhood Alignment. CoRR abs/2201.01922 (2022) - [i8]David Lenz, Raine Yeh, Vijay Mahadevan, Iulian R. Grindeanu, Tom Peterka:
Adaptive Regularization of B-Spline Models for Scientific Data. CoRR abs/2203.12730 (2022) - [i7]Simone Bombari, Alessandro Achille, Zijian Wang, Yu-Xiang Wang, Yusheng Xie, Kunwar Yashraj Singh, Srikar Appalaraju, Vijay Mahadevan, Stefano Soatto:
Towards Differential Relational Privacy and its use in Question Answering. CoRR abs/2203.16701 (2022) - [i6]Thomas Delteil, Edouard Belval, Lei Chen, Luis Goncalves, Vijay Mahadevan:
MATrIX - Modality-Aware Transformer for Information eXtraction. CoRR abs/2205.08094 (2022) - [i5]Vijay S. Mahadevan, David Lenz, Iulian R. Grindeanu, Thomas Peterka:
Parallel Domain Decomposition techniques applied to Multivariate Functional Approximation of discrete data. CoRR abs/2210.06528 (2022) - 2021
- [c21]Kamal Gupta, Justin Lazarow, Alessandro Achille, Larry Davis, Vijay Mahadevan, Abhinav Shrivastava:
LayoutTransformer: Layout Generation and Completion with Self-attention. ICCV 2021: 984-994 - [c20]Qi Dong, Zhuowen Tu, Haofu Liao, Yuting Zhang, Vijay Mahadevan, Stefano Soatto:
Visual Relationship Detection Using Part-and-Sum Transformers with Composite Queries. ICCV 2021: 3530-3539 - [c19]Sagnik Das, Kunwar Yashraj Singh, Jon Wu, Erhan Bas, Vijay Mahadevan, Rahul Bhotika, Dimitris Samaras:
End-to-end Piece-wise Unwarping of Document Images. ICCV 2021: 4248-4257 - [i4]Qi Dong, Zhuowen Tu, Haofu Liao, Yuting Zhang, Vijay Mahadevan, Stefano Soatto:
Visual Composite Set Detection Using Part-and-Sum Transformers. CoRR abs/2105.02170 (2021) - 2020
- [i3]Kamal Gupta, Alessandro Achille, Justin Lazarow, Larry Davis, Vijay Mahadevan, Abhinav Shrivastava:
Layout Generation and Completion with Self-attention. CoRR abs/2006.14615 (2020) - [i2]David Lenz, Oana Marin, Vijay Mahadevan, Raine Yeh, Tom Peterka:
Fourier-Informed Knot Placement Schemes for B-Spline Approximation. CoRR abs/2012.04123 (2020)
2010 – 2019
- 2019
- [c18]Iulian R. Grindeanu, Tom Peterka, Vijay S. Mahadevan, Youssef S. G. Nashed:
Scalable, High-Order Continuity Across Block Boundaries of Functional Approximations Computed in Parallel. CLUSTER 2019: 1-9 - [c17]Youssef S. G. Nashed, Tom Peterka, Vijay Mahadevan, Iulian R. Grindeanu:
Rational Approximation of Scientific Data. ICCS (1) 2019: 18-31 - [i1]Cuong V. Nguyen, Alessandro Achille, Michael Lam, Tal Hassner, Vijay Mahadevan, Stefano Soatto:
Toward Understanding Catastrophic Forgetting in Continual Learning. CoRR abs/1908.01091 (2019) - 2018
- [c16]Tom Peterka, Youssef S. G. Nashed, Iulian R. Grindeanu, Vijay S. Mahadevan, Raine Yeh, Xavier Tricoche:
Foundations of Multivariate Functional Approximation for Scientific Data. LDAV 2018: 61-71 - 2017
- [j10]Navamita Ray, Iulian R. Grindeanu, Xinglin Zhao, Vijay Mahadevan, Xiangmin Jiao:
Array-based, parallel hierarchical mesh refinement algorithms for unstructured meshes. Comput. Aided Des. 85: 68-82 (2017) - 2016
- [c15]Yingwei Li, Weixin Li, Vijay Mahadevan, Nuno Vasconcelos:
VLAD3: Encoding Dynamics of Deep Features for Action Recognition. CVPR 2016: 1951-1960 - 2015
- [j9]Chetan Kumar Verma, Vijay Mahadevan, Nikhil Rasiwasia, Gaurav Aggarwal, Ravi Kant, Alejandro Jaimes, Sujit Dey:
Construction and evaluation of ontological tag trees. Expert Syst. Appl. 42(24): 9587-9602 (2015) - 2014
- [j8]Weixin Li, Vijay Mahadevan, Nuno Vasconcelos:
Anomaly Detection and Localization in Crowded Scenes. IEEE Trans. Pattern Anal. Mach. Intell. 36(1): 18-32 (2014) - [c14]Nikhil Rasiwasia, Dhruv Mahajan, Vijay Mahadevan, Gaurav Aggarwal:
Cluster Canonical Correlation Analysis. AISTATS 2014: 823-831 - [c13]Song Lu, Vijay Mahadevan, Nuno Vasconcelos:
Learning Optimal Seeds for Diffusion-Based Salient Object Detection. CVPR 2014: 2790-2797 - [c12]Chetan Kumar Verma, Vijay Mahadevan, Nikhil Rasiwasia, Gaurav Aggarwal, Ravi Kant, Alejandro Jaimes, Sujit Dey:
Construction of tag ontological graphs by locally minimizing weighted average hops. WWW (Companion Volume) 2014: 393-394 - 2013
- [j7]Vijay Mahadevan, Nuno Vasconcelos:
Biologically Inspired Object Tracking Using Center-Surround Saliency Mechanisms. IEEE Trans. Pattern Anal. Mach. Intell. 35(3): 541-554 (2013) - 2012
- [j6]Andrew R. Siegel, Kord Smith, P. Fischer, Vijay Mahadevan:
Analysis of communication costs for domain decomposed Monte Carlo methods in nuclear reactor analysis. J. Comput. Phys. 231(8): 3119-3125 (2012) - [c11]Vijay Mahadevan, Nuno Vasconcelos:
On the connections between saliency and tracking. NIPS 2012: 1673-1681 - 2011
- [j5]Antoni B. Chan, Vijay Mahadevan, Nuno Vasconcelos:
Generalized Stauffer-Grimson background subtraction for dynamic scenes. Mach. Vis. Appl. 22(5): 751-766 (2011) - [c10]Vijay Mahadevan, Nuno Vasconcelos:
Automatic initialization and tracking using attentional mechanisms. CVPR Workshops 2011: 15-20 - [c9]Vijay Mahadevan, Chi Wah Wong, José Costa Pereira, Tom Liu, Nuno Vasconcelos, Lawrence K. Saul:
Maximum Covariance Unfolding : Manifold Learning for Bimodal Data. NIPS 2011: 918-926 - 2010
- [j4]Vijay Mahadevan, Nuno Vasconcelos:
Spatiotemporal Saliency in Dynamic Scenes. IEEE Trans. Pattern Anal. Mach. Intell. 32(1): 171-177 (2010) - [j3]Natan Jacobson, Yen-Lin Lee, Vijay Mahadevan, Nuno Vasconcelos, Truong Q. Nguyen:
A Novel Approach to FRUC Using Discriminant Saliency and Frame Segmentation. IEEE Trans. Image Process. 19(11): 2924-2934 (2010) - [c8]Hamed Masnadi-Shirazi, Vijay Mahadevan, Nuno Vasconcelos:
On the design of robust classifiers for computer vision. CVPR 2010: 779-786 - [c7]Vijay Mahadevan, Weixin Li, Viral Bhalodia, Nuno Vasconcelos:
Anomaly detection in crowded scenes. CVPR 2010: 1975-1981 - [c6]Natan Jacobson, Yen-Lin Lee, Vijay Mahadevan, Nuno Vasconcelos, Truong Q. Nguyen:
Motion vector refinement for FRUC using saliency and segmentation. ICME 2010: 778-783
2000 – 2009
- 2009
- [c5]Vijay Mahadevan, Nuno Vasconcelos:
Saliency-based discriminant tracking. CVPR 2009: 1007-1013 - 2008
- [j2]Harihar Narasimha-Iyer, Vijay Mahadevan, James M. Beach, Badrinath Roysam:
Improved Detection of the Central Reflex in Retinal Vessels Using a Generalized Dual-Gaussian Model and Robust Hypothesis Testing. IEEE Trans. Inf. Technol. Biomed. 12(3): 406-410 (2008) - [c4]Vijay Mahadevan, Nuno Vasconcelos:
Background subtraction in highly dynamic scenes. CVPR 2008 - 2007
- [c3]Shikha Tripathi, Sai Krishnan Ramachandran, Vijay Mahadevan:
Quantization Based Blind Watermarking Algorithm Using DWT. IPCV 2007: 123-129 - [c2]Dashan Gao, Vijay Mahadevan, Nuno Vasconcelos:
The discriminant center-surround hypothesis for bottom-up saliency. NIPS 2007: 497-504 - 2005
- [c1]Vijay Mahadevan, James Alexander Tyrrell, Ricky T. Tong, Edward B. Brown, Rakesh K. Jain, Badrinath Roysam:
Complexity analysis of angiogenesis vasculature. Image Processing 2005 - 2004
- [j1]Vijay Mahadevan, Harihar Narasimha-Iyer, Badrinath Roysam, Howard L. Tanenbaum:
Robust model-based vasculature detection in noisy biomedical images. IEEE Trans. Inf. Technol. Biomed. 8(3): 360-376 (2004)
Coauthor Index
aka: Thomas Peterka
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