Maneesh Kumar Singh

Affiliations:
  • Verisk Analytics, Jersey City, NJ, USA
  • University of Illinois, USA (former)


According to our database1, Maneesh Kumar Singh authored at least 65 papers between 1999 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Geometry-biased Transformers for Novel View Synthesis.
CoRR, 2023

Unveiling The Mask of Position-Information Pattern Through the Mist of Image Features.
Proceedings of the International Conference on Machine Learning, 2023

2022
Is My Model Using The Right Evidence? Systematic Probes for Examining Evidence-Based Tabular Reasoning.
Trans. Assoc. Comput. Linguistics, 2022

Interpretable Acoustic Representation Learning on Breathing and Speech Signals for COVID-19 Detection.
CoRR, 2022

Svadhyaya system for the Second Diagnosing COVID-19 using Acoustics Challenge 2021.
CoRR, 2022

SISL: Self-Supervised Image Signature Learning for Splicing Detection and Localization.
CoRR, 2022

Permutation Invariant Representations with Applications to Graph Deep Learning.
CoRR, 2022

VQ-Flows: Vector quantized local normalizing flows.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

SPLICEOUT: A Simple and Efficient Audio Augmentation Method.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Acoustic Representation Learning on Breathing and Speech Signals for COVID-19 Detection.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

DocInfer: Document-level Natural Language Inference using Optimal Evidence Selection.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Hierarchical Semantic Regularization of Latent Spaces in StyleGANs.
Proceedings of the Computer Vision - ECCV 2022, 2022

AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

SISL: Self-Supervised Image Signature Learning for Splicing Detection & Localization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Class Incremental Online Streaming Learning.
CoRR, 2021

Attentive Contractive Flow: Improved Contractive Flows with Lipschitz-constrained Self-Attention.
CoRR, 2021

Investigating Feature Selection and Explainability for COVID-19 Diagnostics from Cough Sounds.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Perturb, Predict & Paraphrase: Semi-Supervised Learning using Noisy Student for Image Captioning.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Deep Implicit Surface Point Prediction Networks.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning to Stylize Novel Views.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Data Association via Set Packing for Computer Vision Applications.
INFORMS J. Optim., July, 2020

On Lipschitz Bounds of General Convolutional Neural Networks.
IEEE Trans. Inf. Theory, 2020

DRIT++: Diverse Image-to-Image Translation via Disentangled Representations.
Int. J. Comput. Vis., 2020

DUDE: Deep Unsigned Distance Embeddings for Hi-Fidelity Representation of Complex 3D Surfaces.
CoRR, 2020

A Benders Decomposition Approach to Correlation Clustering.
Proceedings of the 6th IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments, 2020

Multiscale System for Alzheimer's Dementia Recognition Through Spontaneous Speech.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Infoprint: Information Theoretic Digital Image Forensics.
Proceedings of the IEEE International Conference on Image Processing, 2020

HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

ProAlignNet: Unsupervised Learning for Progressively Aligning Noisy Contours.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Accelerating Column Generation via Flexible Dual Optimal Inequalities with Application to Entity Resolution.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
End-to-end Training of CNN-CRF via Differentiable Dual-Decomposition.
CoRR, 2019

Wavelets to the Rescue: Improving Sample Quality of Latent Variable Deep Generative Models.
CoRR, 2019

To Beta or Not To Beta: Information Bottleneck for DigitaL Image Forensics.
CoRR, 2019

Massively Parallel Benders Decomposition for Correlation Clustering.
CoRR, 2019

Compositional Video Prediction.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Sampling Bias in Deep Active Classification: An Empirical Study.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Progressive Domain Adaptation for Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

SpliceRadar: A Learned Method For Blind Image Forensics.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Disconnected Manifold Learning for Generative Adversarial Networks.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Adversarial Learning of Raw Speech Features for Domain Invariant Speech Recognition.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Diverse Image-to-Image Translation via Disentangled Representations.
Proceedings of the Computer Vision - ECCV 2018, 2018

Disentangling Factors of Variation with Cycle-Consistent Variational Auto-encoders.
Proceedings of the Computer Vision - ECCV 2018, 2018

2017
Lipschitz Properties for Deep Convolutional Networks.
CoRR, 2017

Unsupervised Representation Learning by Sorting Sequences.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2015
Stratification of coronary artery disease patients for revascularization procedure based on estimating adverse effects.
BMC Medical Informatics Decis. Mak., 2015

2012
Automated malignancy detection in breast histopathological images.
Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012

A grammar for hierarchical object descriptions in logic programs.
Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012

Fast radial symmetry detection under affine transformations.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Discrete texture traces: Topological representation of geometric context.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Predicate Logic Based Image Grammars for Complex Pattern Recognition.
Int. J. Comput. Vis., 2011

2010
In a Blink of an Eye and a Switch of a Transistor: Cortically Coupled Computer Vision.
Proc. IEEE, 2010

Illumination compensation based change detection using order consistency.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
State-of-the-art on spatio-temporal information-based video retrieval.
Pattern Recognit., 2009

Predicate logic based image grammars for complex pattern recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009

2008
Order consistent change detection via fast statistical significance testing.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2006
Prior-Constrained Scale-Space Mean Shift.
Proceedings of the British Machine Vision Conference 2006, 2006

2005
Robust Pulmonary Nodule Segmentation in CT: Improving Performance for Juxtapleural Cases.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

2004
A Robust Nonparametric Estimation Framework for Implicit Image Models.
Proceedings of the ICVGIP 2004, 2004

Dense Stereo Matching Using Kernel Maximum Likelihood Estimation.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

A Robust Probabilistic Estimation Framework for Parametric Image Models.
Proceedings of the Computer Vision, 2004

Robust Registration and Tracking Using Kernel Density Correlation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2004

2003
Image Segmentation and Robust Estimation Using Parzen Windows
PhD thesis, 2003

Regression based Bandwidth Selection for Segmentation using Parzen Windows.
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

2002
Mean-Shift Segmentation with Wavelet-based Bandwidth Selection.
Proceedings of the 6th IEEE Workshop on Applications of Computer Vision (WACV 2002), 2002

1999
Segmentation Based Denoising Using Multiple Compaction Domains.
Proceedings of the 1999 International Conference on Image Processing, 1999


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