Maneesh Kumar Singh

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

Collaborative distances:

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

2023

Geometry-biased Transformers for Novel View Synthesis.

Naveen Venkat, Mayank Agarwal, Maneesh Kumar Singh, Shubham Tulsiani

CoRR, 2023

Unveiling The Mask of Position-Information Pattern Through the Mist of Image Features.

Chieh Hubert Lin, Hung-Yu Tseng, Hsin-Ying Lee, Maneesh Kumar Singh, Ming-Hsuan Yang

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.

Vivek Gupta, Riyaz A. Bhat, Atreya Ghosal, Manish Shrivastava, Maneesh Kumar Singh, Vivek Srikumar

Trans. Assoc. Comput. Linguistics, 2022

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

Debottam Dutta, Debarpan Bhattacharya, Sriram Ganapathy, Amir H. Poorjam, Deepak Mittal, Maneesh Kumar Singh

CoRR, 2022

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

Deepak Mittal, Amir H. Poorjam, Debottam Dutta, Debarpan Bhattacharya, Zemin Yu, Sriram Ganapathy, Maneesh Kumar Singh

CoRR, 2022

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

Susmit Agrawal, Prabhat Kumar, Siddharth Seth, Toufiq Parag, Maneesh Kumar Singh, R. Venkatesh Babu

CoRR, 2022

Permutation Invariant Representations with Applications to Graph Deep Learning.

Radu V. Balan, Naveed Haghani, Maneesh Singh

CoRR, 2022

VQ-Flows: Vector quantized local normalizing flows.

Sahil Sidheekh, Chris B. Dock, Tushar Jain, Radu V. Balan, Maneesh Kumar Singh

Proceedings of the Uncertainty in Artificial Intelligence, 2022

SPLICEOUT: A Simple and Efficient Audio Augmentation Method.

Arjit Jain, Pranay Reddy Samala, Deepak Mittal, Preethi Jyothi, Maneesh Singh

Proceedings of the Interspeech 2022, 2022

Acoustic Representation Learning on Breathing and Speech Signals for COVID-19 Detection.

Debottam Dutta, Debarpan Bhattacharya, Sriram Ganapathy, Amir Hossein Poorjam, Deepak Mittal, Maneesh Singh

Proceedings of the Interspeech 2022, 2022

DocInfer: Document-level Natural Language Inference using Optimal Evidence Selection.

Puneet Mathur, Gautam Kunapuli, Riyaz Bhat, Manish Shrivastava, Dinesh Manocha, Maneesh Singh

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Hierarchical Semantic Regularization of Latent Spaces in StyleGANs.

Tejan Karmali, Rishubh Parihar, Susmit Agrawal, Harsh Rangwani, Varun Jampani, Maneesh Kumar Singh, R. Venkatesh Babu

Proceedings of the Computer Vision - ECCV 2022, 2022

AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation.

Paritosh Mittal, Yen-Chi Cheng, Maneesh Singh, Shubham Tulsiani

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

SISL: Self-Supervised Image Signature Learning for Splicing Detection & Localization.

Susmit Agrawal, Prabhat Kumar, Siddharth Seth, Toufiq Parag, Maneesh Singh, R. Venkatesh Babu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Class Incremental Online Streaming Learning.

Soumya Banerjee, Vinay Kumar Verma, Toufiq Parag, Maneesh Singh, Vinay P. Namboodiri

CoRR, 2021

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

Avideep Mukherjee, Badri Narayana Patro, Sahil Sidheekh, Maneesh Singh, Vinay P. Namboodiri

CoRR, 2021

Investigating Feature Selection and Explainability for COVID-19 Diagnostics from Cough Sounds.

Flávio Ávila, Amir H. Poorjam, Deepak Mittal, Charles Dognin, Ananya Muguli, Rohit Kumar, Srikanth Raj Chetupalli, Sriram Ganapathy, Maneesh Singh

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

Perturb, Predict & Paraphrase: Semi-Supervised Learning using Noisy Student for Image Captioning.

Arjit Jain, Pranay Reddy Samala, Preethi Jyothi, Deepak Mittal, Maneesh Kumar Singh

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Deep Implicit Surface Point Prediction Networks.

Rahul Venkatesh, Tejan Karmali, Sarthak Sharma, Aurobrata Ghosh, R. Venkatesh Babu, László A. Jeni, Maneesh Singh

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

Learning to Stylize Novel Views.

Hsin-Ping Huang, Hung-Yu Tseng, Saurabh Saini, Maneesh Singh, Ming-Hsuan Yang

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

2020

Data Association via Set Packing for Computer Vision Applications.

Julian Yarkony, Yossiri Adulyasak, Maneesh Kumar Singh, Guy Desaulniers

INFORMS J. Optim., July, 2020

On Lipschitz Bounds of General Convolutional Neural Networks.

Dongmian Zou, Radu V. Balan, Maneesh Singh

IEEE Trans. Inf. Theory, 2020

DRIT++: Diverse Image-to-Image Translation via Disentangled Representations.

Hsin-Ying Lee, Hung-Yu Tseng, Qi Mao, Jia-Bin Huang, Yu-Ding Lu, Maneesh Singh, Ming-Hsuan Yang

Int. J. Comput. Vis., 2020

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

Rahul Venkatesh, Sarthak Sharma, Aurobrata Ghosh, László A. Jeni, Maneesh Singh

CoRR, 2020

A Benders Decomposition Approach to Correlation Clustering.

Jovita Lukasik, Margret Keuper, Maneesh Singh, Julian Yarkony

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.

Erik Edwards, Charles Dognin, Bajibabu Bollepalli, Maneesh Kumar Singh

Proceedings of the Interspeech 2020, 2020

Infoprint: Information Theoretic Digital Image Forensics.

Aurobrata Ghosh, Zheng Zhong, Steve Cruz, Subbu Veeravasarapu, Maneesh Kumar Singh, Terrance E. Boult

Proceedings of the IEEE International Conference on Image Processing, 2020

HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification.

Yichen Jiang, Shikha Bordia, Zheng Zhong, Charles Dognin, Maneesh Kumar Singh, Mohit Bansal

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

ProAlignNet: Unsupervised Learning for Progressively Aligning Noisy Contours.

V. S. R. Veeravasarapu, Abhishek Goel, Deepak Mittal, Maneesh Kumar Singh

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.

Vishnu Suresh Lokhande, Shaofei Wang, Maneesh Singh, Julian Yarkony

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

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

Shaofei Wang, Vishnu Suresh Lokhande, Maneesh Singh, Konrad P. Körding, Julian Yarkony

CoRR, 2019

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

Prashnna K. Gyawali, Rudra Saha, Linwei Wang, V. S. R. Veeravasarapu, Maneesh Singh

CoRR, 2019

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

Aurobrata Ghosh, Zheng Zhong, Steve Cruz, Subbu Veeravasarapu, Terrance E. Boult, Maneesh Singh

CoRR, 2019

Massively Parallel Benders Decomposition for Correlation Clustering.

Margret Keuper, Maneesh Singh, Julian Yarkony

CoRR, 2019

Compositional Video Prediction.

Yufei Ye, Maneesh Singh, Abhinav Gupta, Shubham Tulsiani

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Sampling Bias in Deep Active Classification: An Empirical Study.

Ameya Prabhu, Charles Dognin, Maneesh Singh

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.

Han-Kai Hsu, Wei-Chih Hung, Hung-Yu Tseng, Chun-Han Yao, Yi-Hsuan Tsai, Maneesh Singh, Ming-Hsuan Yang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

SpliceRadar: A Learned Method For Blind Image Forensics.

Aurobrata Ghosh, Zheng Zhong, Terrance E. Boult, Maneesh Singh

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Disconnected Manifold Learning for Generative Adversarial Networks.

Mahyar Khayatkhoei, Maneesh Singh, Ahmed Elgammal

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.

Aditay Tripathi, Aanchan Mohan, Saket Anand, Maneesh Singh

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Diverse Image-to-Image Translation via Disentangled Representations.

Hsin-Ying Lee, Hung-Yu Tseng, Jia-Bin Huang, Maneesh Singh, Ming-Hsuan Yang

Proceedings of the Computer Vision - ECCV 2018, 2018

Disentangling Factors of Variation with Cycle-Consistent Variational Auto-encoders.

Ananya Harsh Jha, Saket Anand, Maneesh Singh, V. S. R. Veeravasarapu

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Lipschitz Properties for Deep Convolutional Networks.

Radu V. Balan, Maneesh Singh, Dongmian Zou

CoRR, 2017

Unsupervised Representation Learning by Sorting Sequences.

Hsin-Ying Lee, Jia-Bin Huang, Maneesh Singh, Ming-Hsuan Yang

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.

Sebastian Pölsterl, Maneesh Singh, Amin Katouzian, Nassir Navab, Adnan Kastrati, Lance Ladic, Ali Kamen

BMC Medical Informatics Decis. Mak., 2015

2012

Automated malignancy detection in breast histopathological images.

Andrei Chekkoury, Parmeshwar Khurd, Jie Ni, Claus Bahlmann, Ali Kamen, Amar Patel, Leo J. Grady, Maneesh Singh, Martin Groher, Nassir Navab, Elizabeth A. Krupinski, Jeffrey Johnson, Anna R. Graham, Ronald S. Weinstein

Proceedings of the Medical Imaging 2012: Computer-Aided Diagnosis, 2012

A grammar for hierarchical object descriptions in logic programs.

Toufiq Parag, Claus Bahlmann, Vinay D. Shet, Maneesh Singh

Proceedings of the 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012

Fast radial symmetry detection under affine transformations.

Jie Ni, Maneesh Kumar Singh, Claus Bahlmann

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Discrete texture traces: Topological representation of geometric context.

Jan Ernst, Maneesh Kumar Singh, Visvanathan Ramesh

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Predicate Logic Based Image Grammars for Complex Pattern Recognition.

Vinay D. Shet, Maneesh Singh, Claus Bahlmann, Visvanathan Ramesh, Jan Neumann, Larry S. Davis

Int. J. Comput. Vis., 2011

2010

In a Blink of an Eye and a Switch of a Transistor: Cortically Coupled Computer Vision.

Paul Sajda, Eric Pohlmeyer, Jun Wang, Lucas C. Parra, Christoforos Christoforou, Jacek Dmochowski, Barbara Hanna, Claus Bahlmann, Maneesh Kumar Singh, Shih-Fu Chang

Proc. IEEE, 2010

Illumination compensation based change detection using order consistency.

Vasu Parameswaran, Maneesh Singh, Visvanathan Ramesh

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.

Wei Ren, Sameer Singh, Maneesh Singh, Y. S. Zhu

Pattern Recognit., 2009

Predicate logic based image grammars for complex pattern recognition.

Vinay D. Shet, Maneesh Singh, Claus Bahlmann, Visvanathan Ramesh

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2009

2008

Order consistent change detection via fast statistical significance testing.

Maneesh Singh, Vasu Parameswaran, Visvanathan Ramesh

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

2006

Prior-Constrained Scale-Space Mean Shift.

Kazunori Okada, Maneesh Kumar Singh, Visvanathan Ramesh

Proceedings of the British Machine Vision Conference 2006, 2006

2005

Robust Pulmonary Nodule Segmentation in CT: Improving Performance for Juxtapleural Cases.

Kazunori Okada, Visvanathan Ramesh, Arun Krishnan, Maneesh Singh, Umut Akdemir

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005

2004

A Robust Nonparametric Estimation Framework for Implicit Image Models.

Himanshu Arora, Maneesh Singh, Narendra Ahuja

Proceedings of the ICVGIP 2004, 2004

Dense Stereo Matching Using Kernel Maximum Likelihood Estimation.

Ashish Jagmohan, Maneesh Kumar Singh, Narendra Ahuja

Proceedings of the 17th International Conference on Pattern Recognition, 2004

A Robust Probabilistic Estimation Framework for Parametric Image Models.

Maneesh Kumar Singh, Himanshu Arora, Narendra Ahuja

Proceedings of the Computer Vision, 2004

Robust Registration and Tracking Using Kernel Density Correlation.

Maneesh Singh, Himanshu Arora, Narendra Ahuja

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2004

2003

Image Segmentation and Robust Estimation Using Parzen Windows

Maneesh Kumar Singh

PhD thesis, 2003

Regression based Bandwidth Selection for Segmentation using Parzen Windows.

Maneesh Kumar Singh, Narendra Ahuja

Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

2002

Mean-Shift Segmentation with Wavelet-based Bandwidth Selection.

Maneesh Kumar Singh, Narendra Ahuja

Proceedings of the 6th IEEE Workshop on Applications of Computer Vision (WACV 2002), 2002

1999

Segmentation Based Denoising Using Multiple Compaction Domains.

Maneesh Singh, Prakash Ishwar, Krishna Ratakonda, Narendra Ahuja

Proceedings of the 1999 International Conference on Image Processing, 1999