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Connecting What to Say With Where to Look by Modeling Human Attention Traces


May 12, 2021
Zihang Meng, Licheng Yu, Ning Zhang, Tamara Berg, Babak Damavandi, Vikas Singh, Amy Bearman


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Simpler Certified Radius Maximization by Propagating Covariances


Apr 13, 2021
Xingjian Zhen, Rudrasis Chakraborty, Vikas Singh

* This paper has been accepted by CVPR 2021 as an oral presentation. An introduction video can be found: https://youtu.be/m1ya2oNf5iE 

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Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention


Mar 05, 2021
Yunyang Xiong, Zhanpeng Zeng, Rudrasis Chakraborty, Mingxing Tan, Glenn Fung, Yin Li, Vikas Singh

* AAAI 2021; Code and supplement available at https://github.com/mlpen/Nystromformer 

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Learning Invariant Representations using Inverse Contrastive Loss


Feb 16, 2021
Aditya Kumar Akash, Vishnu Suresh Lokhande, Sathya N. Ravi, Vikas Singh

* Accepted to AAAI-21 

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Flow-based Generative Models for Learning Manifold to Manifold Mappings


Dec 18, 2020
Xingjian Zhen, Rudrasis Chakraborty, Liu Yang, Vikas Singh

* This paper has been accepted by AAAI 2021 

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A Bayesian Approach with Type-2 Student-tMembership Function for T-S Model Identification


Sep 02, 2020
Vikas Singh, Homanga Bharadhwaj, Nishchal K Verma


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Online Graph Completion: Multivariate Signal Recovery in Computer Vision


Aug 12, 2020
Won Hwa Kim, Mona Jalal, Seongjae Hwang, Sterling C. Johnson, Vikas Singh

* 9 pages, 7 figures, CVPR 2017 Conference 

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Improved Adaptive Type-2 Fuzzy Filter with Exclusively Two Fuzzy Membership Function for Filtering Salt and Pepper Noise


Aug 10, 2020
Vikas Singh, Pooja Agrawal, Teena Sharma, Nishchal K. Verma


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Physarum Powered Differentiable Linear Programming Layers and Applications


Apr 30, 2020
Zihang Meng, Sathya N. Ravi, Vikas Singh


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MobileDets: Searching for Object Detection Architectures for Mobile Accelerators


Apr 30, 2020
Yunyang Xiong, Hanxiao Liu, Suyog Gupta, Berkin Akin, Gabriel Bender, Pieter-Jan Kindermans, Mingxing Tan, Vikas Singh, Bo Chen


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FairALM: Augmented Lagrangian Method for Training Fair Models with Little Regret


Apr 03, 2020
Vishnu Suresh Lokhande, Aditya Kumar Akash, Sathya N. Ravi, Vikas Singh


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mRMR-DNN with Transfer Learning for IntelligentFault Diagnosis of Rotating Machines


Dec 25, 2019
Vikas Singh, Nishchal K. Verma


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An Entropy-based Variable Feature Weighted Fuzzy k-Means Algorithm for High Dimensional Data


Dec 24, 2019
Vikas Singh, Nishchal K. Verma


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Dilated Convolutional Neural Networks for Sequential Manifold-valued Data


Oct 05, 2019
Xingjian Zhen, Rudrasis Chakraborty, Nicholas Vogt, Barbara B. Bendlin, Vikas Singh

* ICCV 2019 

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Optimizing Nondecomposable Data Dependent Regularizers via Lagrangian Reparameterization offers Significant Performance and Efficiency Gains


Sep 26, 2019
Sathya N. Ravi, Abhay Venkatesh, Glenn Moo Fung, Vikas Singh


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Generating Accurate Pseudo-labels via Hermite Polynomials for SSL Confidently


Sep 12, 2019
Vishnu Suresh Lokhande, Sathya Ravi, Songwong Tasneeyapant, Abhay Venkatesh, Vikas Singh


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DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer


Aug 21, 2019
Haoliang Sun, Ronak Mehta, Hao H. Zhou, Zhichun Huang, Sterling C. Johnson, Vivek Prabhakaran, Vikas Singh

* ICCV 2019 

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Fooling Computer Vision into Inferring the Wrong Body Mass Index


May 16, 2019
Owen Levin, Zihang Meng, Vikas Singh, Xiaojin Zhu


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Resource Constrained Neural Network Architecture Search


Apr 08, 2019
Yunyang Xiong, Ronak Mehta, Vikas Singh


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Conditional Recurrent Flow: Conditional Generation of Longitudinal Samples with Applications to Neuroimaging


Dec 11, 2018
Seong Jae Hwang, Zirui Tao, Won Hwa Kim, Vikas Singh


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A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices


Oct 27, 2018
Rudrasis Chakraborty, Chun-Hao Yang, Xingjian Zhen, Monami Banerjee, Derek Archer, David Vaillancourt, Vikas Singh, Baba C. Vemuri

* Accepted in Thirty-second Conference on Neural Information Processing Systems (NIPS), 2018 

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Sampling-free Uncertainty Estimation in Gated Recurrent Units with Exponential Families


Sep 02, 2018
Seong Jae Hwang, Ronak Mehta, Hyunwoo J. Kim, Vikas Singh

* Version 2 

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Building Bayesian Neural Networks with Blocks: On Structure, Interpretability and Uncertainty


Jun 10, 2018
Hao Henry Zhou, Yunyang Xiong, Vikas Singh


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Robust Blind Deconvolution via Mirror Descent


Mar 21, 2018
Sathya N. Ravi, Ronak Mehta, Vikas Singh


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Constrained Deep Learning using Conditional Gradient and Applications in Computer Vision


Mar 17, 2018
Sathya N. Ravi, Tuan Dinh, Vishnu Sai Rao Lokhande, Vikas Singh


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Finding Differentially Covarying Needles in a Temporally Evolving Haystack: A Scan Statistics Perspective


Nov 20, 2017
Ronak Mehta, Hyunwoo J. Kim, Shulei Wang, Sterling C. Johnson, Ming Yuan, Vikas Singh


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A Deterministic Nonsmooth Frank Wolfe Algorithm with Coreset Guarantees


Aug 22, 2017
Sathya N. Ravi, Maxwell D. Collins, Vikas Singh


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Accelerating Permutation Testing in Voxel-wise Analysis through Subspace Tracking: A new plugin for SnPM


Jul 24, 2017
Felipe Gutierrez-Barragan, Vamsi K. Ithapu, Chris Hinrichs, Camille Maumet, Sterling C. Johnson, Thomas E. Nichols, Vikas Singh, the ADNI

* 36 pages, 16 figures 

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