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Maneesh Kumar Singh 0001
Maneesh Singh 0001
Person information
- affiliation: Verisk Analytics, Jersey City, NJ, USA
- affiliation (former): University of Illinois, USA
Other persons with the same name
- Maneesh Kumar Singh 0003
— Imperial College London, UK (and 3 more)
- Maneesh Singh 0002 — Bergen University College, Department of Machine and Marine Engineering, Norway (and 2 more)
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2020 – today
- 2023
- [c44]Chieh Hubert Lin, Hung-Yu Tseng, Hsin-Ying Lee, Maneesh Kumar Singh, Ming-Hsuan Yang:
Unveiling The Mask of Position-Information Pattern Through the Mist of Image Features. ICML 2023: 21204-21222 - [i35]Naveen Venkat, Mayank Agarwal, Maneesh Kumar Singh, Shubham Tulsiani:
Geometry-biased Transformers for Novel View Synthesis. CoRR abs/2301.04650 (2023) - 2022
- [j8]Vivek Gupta, Riyaz A. Bhat, Atreya Ghosal, Manish Shrivastava, Maneesh Kumar Singh, Vivek Srikumar:
Is My Model Using The Right Evidence? Systematic Probes for Examining Evidence-Based Tabular Reasoning. Trans. Assoc. Comput. Linguistics 10: 659-679 (2022) - [c43]Susmit Agrawal, Prabhat Kumar, Siddharth Seth, Toufiq Parag, Maneesh Singh, R. Venkatesh Babu:
SISL: Self-Supervised Image Signature Learning for Splicing Detection & Localization. CVPR Workshops 2022: 22-32 - [c42]Paritosh Mittal, Yen-Chi Cheng
AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation. CVPR 2022: 306-315 - [c41]Tejan Karmali, Rishubh Parihar, Susmit Agrawal, Harsh Rangwani, Varun Jampani, Maneesh Kumar Singh, R. Venkatesh Babu
Hierarchical Semantic Regularization of Latent Spaces in StyleGANs. ECCV (15) 2022: 443-459 - [c40]Puneet Mathur, Gautam Kunapuli, Riyaz Bhat, Manish Shrivastava, Dinesh Manocha, Maneesh Singh:
DocInfer: Document-level Natural Language Inference using Optimal Evidence Selection. EMNLP 2022: 809-824 - [c39]Arjit Jain, Pranay Reddy Samala, Deepak Mittal, Preethi Jyothi, Maneesh Singh:
SPLICEOUT: A Simple and Efficient Audio Augmentation Method. INTERSPEECH 2022: 2678-2682 - [c38]Debottam Dutta, Debarpan Bhattacharya, Sriram Ganapathy, Amir Hossein Poorjam, Deepak Mittal, Maneesh Singh:
Acoustic Representation Learning on Breathing and Speech Signals for COVID-19 Detection. INTERSPEECH 2022: 2863-2867 - [c37]Sahil Sidheekh, Chris B. Dock, Tushar Jain, Radu V. Balan, Maneesh Kumar Singh:
VQ-Flows: Vector quantized local normalizing flows. UAI 2022: 1835-1845 - [i34]Radu V. Balan, Naveed Haghani, Maneesh Singh:
Permutation Invariant Representations with Applications to Graph Deep Learning. CoRR abs/2203.07546 (2022) - [i33]Susmit Agrawal, Prabhat Kumar, Siddharth Seth, Toufiq Parag, Maneesh Kumar Singh, R. Venkatesh Babu:
SISL: Self-Supervised Image Signature Learning for Splicing Detection and Localization. CoRR abs/2203.07824 (2022) - [i32]Paritosh Mittal, Yen-Chi Cheng, Maneesh Singh, Shubham Tulsiani:
AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation. CoRR abs/2203.09516 (2022) - [i31]Sahil Sidheekh, Chris B. Dock, Tushar Jain, Radu V. Balan, Maneesh Kumar Singh:
VQ-Flows: Vector Quantized Local Normalizing Flows. CoRR abs/2203.11556 (2022) - [i30]Chieh Hubert Lin, Hsin-Ying Lee, Hung-Yu Tseng, Maneesh Kumar Singh, Ming-Hsuan Yang:
Unveiling The Mask of Position-Information Pattern Through the Mist of Image Features. CoRR abs/2206.01202 (2022) - [i29]Deepak Mittal, Amir H. Poorjam, Debottam Dutta, Debarpan Bhattacharya, Zemin Yu, Sriram Ganapathy, Maneesh Kumar Singh:
Svadhyaya system for the Second Diagnosing COVID-19 using Acoustics Challenge 2021. CoRR abs/2206.05462 (2022) - [i28]Debottam Dutta, Debarpan Bhattacharya, Sriram Ganapathy, Amir H. Poorjam, Deepak Mittal, Maneesh Kumar Singh:
Interpretable Acoustic Representation Learning on Breathing and Speech Signals for COVID-19 Detection. CoRR abs/2206.13365 (2022) - [i27]Tejan Karmali, Rishubh Parihar, Susmit Agrawal, Harsh Rangwani, Varun Jampani, Maneesh Singh, R. Venkatesh Babu
Hierarchical Semantic Regularization of Latent Spaces in StyleGANs. CoRR abs/2208.03764 (2022) - 2021
- [c36]Rahul Venkatesh, Tejan Karmali
Deep Implicit Surface Point Prediction Networks. ICCV 2021: 12633-12642 - [c35]Hsin-Ping Huang, Hung-Yu Tseng, Saurabh Saini
Learning to Stylize Novel Views. ICCV 2021: 13849-13858 - [c34]Arjit Jain, Pranay Reddy Samala, Preethi Jyothi, Deepak Mittal, Maneesh Kumar Singh:
Perturb, Predict & Paraphrase: Semi-Supervised Learning using Noisy Student for Image Captioning. IJCAI 2021: 758-764 - [c33]Flávio Ávila, Amir H. Poorjam, Deepak Mittal, Charles Dognin, Ananya Muguli
Investigating Feature Selection and Explainability for COVID-19 Diagnostics from Cough Sounds. Interspeech 2021: 951-955 - [i26]Hsin-Ping Huang, Hung-Yu Tseng, Saurabh Saini, Maneesh Kumar Singh, Ming-Hsuan Yang:
Learning to Stylize Novel Views. CoRR abs/2105.13509 (2021) - [i25]Rahul Venkatesh, Tejan Karmali, Sarthak Sharma, Aurobrata Ghosh, R. Venkatesh Babu, László A. Jeni, Maneesh Singh:
Deep Implicit Surface Point Prediction Networks. CoRR abs/2106.05779 (2021) - [i24]Vivek Gupta, Riyaz A. Bhat, Atreya Ghosal, Manish Shrivastava, Maneesh Singh, Vivek Srikumar:
Is My Model Using The Right Evidence? Systematic Probes for Examining Evidence-Based Tabular Reasoning. CoRR abs/2108.00578 (2021) - [i23]Avideep Mukherjee, Badri Narayana Patro, Sahil Sidheekh, Maneesh Singh, Vinay P. Namboodiri:
Attentive Contractive Flow: Improved Contractive Flows with Lipschitz-constrained Self-Attention. CoRR abs/2109.12135 (2021) - [i22]Arjit Jain, Pranay Reddy Samala, Deepak Mittal, Preethi Jyothi, Maneesh Singh:
SpliceOut: A Simple and Efficient Audio Augmentation Method. CoRR abs/2110.00046 (2021) - [i21]Soumya Banerjee, Vinay Kumar Verma, Toufiq Parag, Maneesh Singh, Vinay P. Namboodiri:
Class Incremental Online Streaming Learning. CoRR abs/2110.10741 (2021) - 2020
- [j7]Hsin-Ying Lee, Hung-Yu Tseng, Qi Mao, Jia-Bin Huang, Yu-Ding Lu, Maneesh Singh, Ming-Hsuan Yang
DRIT++: Diverse Image-to-Image Translation via Disentangled Representations. Int. J. Comput. Vis. 128(10): 2402-2417 (2020) - [j6]Julian Yarkony, Yossiri Adulyasak
Data Association via Set Packing for Computer Vision Applications. INFORMS J. Optim. 2(3): 167-191 (2020) - [j5]Dongmian Zou
On Lipschitz Bounds of General Convolutional Neural Networks. IEEE Trans. Inf. Theory 66(3): 1738-1759 (2020) - [c32]Vishnu Suresh Lokhande, Shaofei Wang, Maneesh Singh, Julian Yarkony:
Accelerating Column Generation via Flexible Dual Optimal Inequalities with Application to Entity Resolution. AAAI 2020: 1593-1602 - [c31]V. S. R. Veeravasarapu, Abhishek Goel, Deepak Mittal, Maneesh Kumar Singh:
ProAlignNet: Unsupervised Learning for Progressively Aligning Noisy Contours. CVPR 2020: 9668-9676 - [c30]Yichen Jiang, Shikha Bordia, Zheng Zhong, Charles Dognin, Maneesh Kumar Singh, Mohit Bansal:
HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification. EMNLP (Findings) 2020: 3441-3460 - [c29]Aurobrata Ghosh, Zheng Zhong, Steve Cruz, Subbu Veeravasarapu, Maneesh Kumar Singh, Terrance E. Boult:
Infoprint: Information Theoretic Digital Image Forensics. ICIP 2020: 638-642 - [c28]Erik Edwards, Charles Dognin, Bajibabu Bollepalli, Maneesh Kumar Singh:
Multiscale System for Alzheimer's Dementia Recognition Through Spontaneous Speech. INTERSPEECH 2020: 2197-2201 - [c27]Jovita Lukasik, Margret Keuper, Maneesh Singh, Julian Yarkony:
A Benders Decomposition Approach to Correlation Clustering. MLHPC/AI4S@SC 2020: 9-16 - [c26]Han-Kai Hsu, Chun-Han Yao, Yi-Hsuan Tsai, Wei-Chih Hung, Hung-Yu Tseng, Maneesh Kumar Singh, Ming-Hsuan Yang:
Progressive Domain Adaptation for Object Detection. WACV 2020: 738-746 - [i20]V. S. R. Veeravasarapu, Abhishek Goel, Deepak Mittal, Maneesh Kumar Singh:
ProAlignNet : Unsupervised Learning for Progressively Aligning Noisy Contours. CoRR abs/2005.11546 (2020) - [i19]Rahul Venkatesh, Sarthak Sharma, Aurobrata Ghosh, László A. Jeni, Maneesh Singh:
DUDE: Deep Unsigned Distance Embeddings for Hi-Fidelity Representation of Complex 3D Surfaces. CoRR abs/2011.02570 (2020) - [i18]Yichen Jiang, Shikha Bordia, Zheng Zhong, Charles Dognin, Maneesh Singh, Mohit Bansal:
HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification. CoRR abs/2011.03088 (2020)
2010 – 2019
- 2019
- [c25]Han-Kai Hsu, Wei-Chih Hung, Hung-Yu Tseng, Chun-Han Yao, Yi-Hsuan Tsai, Maneesh Singh, Ming-Hsuan Yang:
Progressive Domain Adaptation for Object Detection. CVPR Workshops 2019: 1-5 - [c24]Aurobrata Ghosh, Zheng Zhong, Terrance E. Boult, Maneesh Singh:
SpliceRadar: A Learned Method For Blind Image Forensics. CVPR Workshops 2019: 72-79 - [c23]Ameya Prabhu, Charles Dognin, Maneesh Singh:
Sampling Bias in Deep Active Classification: An Empirical Study. EMNLP/IJCNLP (1) 2019: 4056-4066 - [c22]Yufei Ye, Maneesh Singh, Abhinav Gupta, Shubham Tulsiani:
Compositional Video Prediction. ICCV 2019: 10352-10361 - [i17]Margret Keuper, Maneesh Singh, Julian Yarkony:
Massively Parallel Benders Decomposition for Correlation Clustering. CoRR abs/1902.05659 (2019) - [i16]Hsin-Ying Lee, Hung-Yu Tseng, Qi Mao, Jia-Bin Huang, Yu-Ding Lu, Maneesh Singh, Ming-Hsuan Yang:
DRIT++: Diverse Image-to-Image Translation via Disentangled Representations. CoRR abs/1905.01270 (2019) - [i15]Aurobrata Ghosh, Zheng Zhong, Terrance E. Boult, Maneesh Singh:
SpliceRadar: A Learned Method For Blind Image Forensics. CoRR abs/1906.11663 (2019) - [i14]Aurobrata Ghosh, Zheng Zhong, Steve Cruz, Subbu Veeravasarapu, Terrance E. Boult, Maneesh Singh:
To Beta or Not To Beta: Information Bottleneck for DigitaL Image Forensics. CoRR abs/1908.03864 (2019) - [i13]Yufei Ye, Maneesh Singh, Abhinav Gupta, Shubham Tulsiani:
Compositional Video Prediction. CoRR abs/1908.08522 (2019) - [i12]Vishnu Suresh Lokhande, Shaofei Wang, Maneesh Singh, Julian Yarkony:
Accelerating Column Generation via Flexible Dual Optimal Inequalities with Application to Entity Resolution. CoRR abs/1909.05460 (2019) - [i11]Ameya Prabhu, Charles Dognin, Maneesh Singh:
Sampling Bias in Deep Active Classification: An Empirical Study. CoRR abs/1909.09389 (2019) - [i10]Han-Kai Hsu, Chun-Han Yao, Yi-Hsuan Tsai, Wei-Chih Hung, Hung-Yu Tseng, Maneesh Singh, Ming-Hsuan Yang:
Progressive Domain Adaptation for Object Detection. CoRR abs/1910.11319 (2019) - [i9]Prashnna K. Gyawali, Rudra Saha, Linwei Wang, V. S. R. Veeravasarapu, Maneesh Singh:
Wavelets to the Rescue: Improving Sample Quality of Latent Variable Deep Generative Models. CoRR abs/1911.05627 (2019) - [i8]Shaofei Wang, Vishnu Suresh Lokhande, Maneesh Singh, Konrad P. Körding, Julian Yarkony:
End-to-end Training of CNN-CRF via Differentiable Dual-Decomposition. CoRR abs/1912.02937 (2019) - 2018
- [c21]Hsin-Ying Lee, Hung-Yu Tseng, Jia-Bin Huang, Maneesh Singh, Ming-Hsuan Yang:
Diverse Image-to-Image Translation via Disentangled Representations. ECCV (1) 2018: 36-52 - [c20]Ananya Harsh Jha, Saket Anand, Maneesh Singh, V. S. R. Veeravasarapu:
Disentangling Factors of Variation with Cycle-Consistent Variational Auto-encoders. ECCV (3) 2018: 829-845 - [c19]Aditay Tripathi, Aanchan Mohan, Saket Anand, Maneesh Singh:
Adversarial Learning of Raw Speech Features for Domain Invariant Speech Recognition. ICASSP 2018: 5959-5963 - [c18]Mahyar Khayatkhoei, Maneesh Singh, Ahmed Elgammal:
Disconnected Manifold Learning for Generative Adversarial Networks. NeurIPS 2018: 7354-7364 - [i7]Ananya Harsh Jha, Saket Anand, Maneesh Singh, V. S. R. Veeravasarapu:
Disentangling Factors of Variation with Cycle-Consistent Variational Auto-Encoders. CoRR abs/1804.10469 (2018) - [i6]Aditay Tripathi, Aanchan Mohan, Saket Anand, Maneesh Singh:
Adversarial Learning of Raw Speech Features for Domain Invariant Speech Recognition. CoRR abs/1805.08615 (2018) - [i5]Mahyar Khayatkhoei, Maneesh Singh, Ahmed Elgammal:
Disconnected Manifold Learning for Generative Adversarial Networks. CoRR abs/1806.00880 (2018) - [i4]Hsin-Ying Lee, Hung-Yu Tseng, Jia-Bin Huang, Maneesh Kumar Singh, Ming-Hsuan Yang:
Diverse Image-to-Image Translation via Disentangled Representations. CoRR abs/1808.00948 (2018) - [i3]Dongmian Zou, Radu V. Balan, Maneesh Singh:
On Lipschitz Bounds of General Convolutional Neural Networks. CoRR abs/1808.01415 (2018) - 2017
- [c17]Hsin-Ying Lee, Jia-Bin Huang, Maneesh Singh, Ming-Hsuan Yang:
Unsupervised Representation Learning by Sorting Sequences. ICCV 2017: 667-676 - [i2]Radu V. Balan, Maneesh Singh, Dongmian Zou
Lipschitz Properties for Deep Convolutional Networks. CoRR abs/1701.05217 (2017) - [i1]Hsin-Ying Lee, Jia-Bin Huang, Maneesh Singh, Ming-Hsuan Yang:
Unsupervised Representation Learning by Sorting Sequences. CoRR abs/1708.01246 (2017) - 2015
- [j4]Sebastian Pölsterl
Stratification of coronary artery disease patients for revascularization procedure based on estimating adverse effects. BMC Medical Informatics Decis. Mak. 15: 9 (2015) - 2012
- [c16]Toufiq Parag, Claus Bahlmann, Vinay D. Shet, Maneesh Singh:
A grammar for hierarchical object descriptions in logic programs. CVPR Workshops 2012: 33-38 - [c15]Jan Ernst
Discrete texture traces: Topological representation of geometric context. CVPR 2012: 422-429 - [c14]Jie Ni, Maneesh Kumar Singh, Claus Bahlmann:
Fast radial symmetry detection under affine transformations. CVPR 2012: 932-939 - [c13]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:
Automated malignancy detection in breast histopathological images. Medical Imaging: Computer-Aided Diagnosis 2012: 831515 - 2011
- [j3]Vinay D. Shet, Maneesh Singh, Claus Bahlmann, Visvanathan Ramesh, Jan Neumann, Larry S. Davis:
Predicate Logic Based Image Grammars for Complex Pattern Recognition. Int. J. Comput. Vis. 93(2): 141-161 (2011) - 2010
- [j2]Paul Sajda, Eric Pohlmeyer, Jun Wang, Lucas C. Parra, Christoforos Christoforou
In a Blink of an Eye and a Switch of a Transistor: Cortically Coupled Computer Vision. Proc. IEEE 98(3): 462-478 (2010) - [c12]Vasu Parameswaran, Maneesh Singh, Visvanathan Ramesh:
Illumination compensation based change detection using order consistency. CVPR 2010: 1982-1989
2000 – 2009
- 2009
- [j1]Wei Ren, Sameer Singh, Maneesh Singh, Y. S. Zhu:
State-of-the-art on spatio-temporal information-based video retrieval. Pattern Recognit. 42(2): 267-282 (2009) - [c11]Vinay D. Shet, Maneesh Singh, Claus Bahlmann, Visvanathan Ramesh:
Predicate logic based image grammars for complex pattern recognition. CVPR Workshops 2009: 7 - 2008
- [c10]Maneesh Singh, Vasu Parameswaran, Visvanathan Ramesh:
Order consistent change detection via fast statistical significance testing. CVPR 2008 - 2006
- [c9]Kazunori Okada, Maneesh Kumar Singh, Visvanathan Ramesh:
Prior-Constrained Scale-Space Mean Shift. BMVC 2006: 829-838 - 2005
- [c8]Kazunori Okada, Visvanathan Ramesh, Arun Krishnan, Maneesh Singh, Umut Akdemir:
Robust Pulmonary Nodule Segmentation in CT: Improving Performance for Juxtapleural Cases. MICCAI (2) 2005: 781-789 - 2004
- [c7]Maneesh Singh, Himanshu Arora, Narendra Ahuja:
Robust Registration and Tracking Using Kernel Density Correlation. CVPR Workshops 2004: 174 - [c6]Maneesh Kumar Singh, Himanshu Arora, Narendra Ahuja:
A Robust Probabilistic Estimation Framework for Parametric Image Models. ECCV (1) 2004: 508-522 - [c5]Ashish Jagmohan, Maneesh Kumar Singh, Narendra Ahuja:
Dense Stereo Matching Using Kernel Maximum Likelihood Estimation. ICPR (3) 2004: 28-31 - [c4]Himanshu Arora, Maneesh Singh, Narendra Ahuja:
A Robust Nonparametric Estimation Framework for Implicit Image Models. ICVGIP 2004: 599-604 - 2003
- [b1]Maneesh Kumar Singh:
Image Segmentation and Robust Estimation Using Parzen Windows. University of Illinois Urbana-Champaign, USA, 2003 - [c3]Maneesh Kumar Singh, Narendra Ahuja:
Regression based Bandwidth Selection for Segmentation using Parzen Windows. ICCV 2003: 2-9 - 2002
- [c2]Maneesh Kumar Singh, Narendra Ahuja:
Mean-Shift Segmentation with Wavelet-based Bandwidth Selection. WACV 2002: 43-
1990 – 1999
- 1999
- [c1]Maneesh Singh, Prakash Ishwar, Krishna Ratakonda, Narendra Ahuja:
Segmentation Based Denoising Using Multiple Compaction Domains. ICIP (1) 1999: 372-375
Coauthor Index
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