Segmentation Based Denoising Using Multiple Compaction Domains. - Maneesh Singh 001; Prakash Ishwar; Krishna Ratakonda; Narendra Ahuja (ICIP (1), 1999)

Mean-Shift Segmentation with Wavelet-based Bandwidth Selection. - Maneesh Kumar Singh 001; Narendra Ahuja (WACV, 2002)

Regression based Bandwidth Selection for Segmentation using Parzen Windows. - Maneesh Kumar Singh 001; Narendra Ahuja (ICCV, 2003)

Image Segmentation and Robust Estimation Using Parzen Windows - Maneesh Kumar Singh 001 (2003)

Robust Registration and Tracking Using Kernel Density Correlation. - Maneesh Singh 001; Himanshu Arora; Narendra Ahuja (CVPR Workshops, 2004)

A Robust Probabilistic Estimation Framework for Parametric Image Models. - Maneesh Kumar Singh 001; Himanshu Arora; Narendra Ahuja (ECCV (1), 2004)

Dense Stereo Matching Using Kernel Maximum Likelihood Estimation. - Ashish Jagmohan; Maneesh Kumar Singh 001; Narendra Ahuja (ICPR (3), 2004)

A Robust Nonparametric Estimation Framework for Implicit Image Models. - Himanshu Arora; Maneesh Singh 001; Narendra Ahuja (ICVGIP, 2004)

Robust Pulmonary Nodule Segmentation in CT: Improving Performance for Juxtapleural Cases. - Kazunori Okada; Visvanathan Ramesh; Arun Krishnan; Maneesh Singh 001; Umut Akdemir (MICCAI (2), 2005)

Prior-Constrained Scale-Space Mean Shift. - Kazunori Okada; Maneesh Kumar Singh 001; Visvanathan Ramesh (BMVC, 2006)

Order consistent change detection via fast statistical significance testing. - Maneesh Singh 001; Vasu Parameswaran; Visvanathan Ramesh (CVPR, 2008)

Predicate logic based image grammars for complex pattern recognition. - Vinay D. Shet; Maneesh Singh 001; Claus Bahlmann; Visvanathan Ramesh (CVPR Workshops, 2009)

State-of-the-art on spatio-temporal information-based video retrieval. - Wei Ren; Sameer Singh 002; Maneesh Singh 001; Y. S. Zhu (Pattern Recognit., 2009)

Illumination compensation based change detection using order consistency. - Vasu Parameswaran; Maneesh Singh 001; Visvanathan Ramesh (CVPR, 2010)

In a Blink of an Eye and a Switch of a Transistor: Cortically Coupled Computer Vision. - Paul Sajda; Eric Pohlmeyer; Jun Wang 006; Lucas C. Parra; Christoforos Christoforou; Jacek Dmochowski; Barbara Hanna; Claus Bahlmann; Maneesh Kumar Singh 001; Shih-Fu Chang (Proc. IEEE, 2010)

Predicate Logic Based Image Grammars for Complex Pattern Recognition. - Vinay D. Shet; Maneesh Singh 001; Claus Bahlmann; Visvanathan Ramesh; Jan Neumann; Larry S. Davis (Int. J. Comput. Vis., 2011)

Discrete texture traces: Topological representation of geometric context. - Jan Ernst; Maneesh Kumar Singh 001; Visvanathan Ramesh (CVPR, 2012)

Fast radial symmetry detection under affine transformations. - Jie Ni; Maneesh Kumar Singh 001; Claus Bahlmann (CVPR, 2012)

A grammar for hierarchical object descriptions in logic programs. - Toufiq Parag; Claus Bahlmann; Vinay D. Shet; Maneesh Singh 001 (CVPR Workshops, 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 001; Martin Groher; Nassir Navab; Elizabeth A. Krupinski; Jeffrey Johnson; et al. (Computer-Aided Diagnosis, 2012)

Stratification of coronary artery disease patients for revascularization procedure based on estimating adverse effects. - Sebastian Pölsterl; Maneesh Singh 001; Amin Katouzian; Nassir Navab; Adnan Kastrati; Lance Ladic; Ali Kamen (BMC Medical Informatics Decis. Mak., 2015)

Unsupervised Representation Learning by Sorting Sequences. - Hsin-Ying Lee 001; Jia-Bin Huang 001; Maneesh Singh 001; Ming-Hsuan Yang 001 (ICCV, 2017)

Lipschitz Properties for Deep Convolutional Networks. - Radu V. Balan; Maneesh Singh 001; Dongmian Zou (CoRR, 2017)

Disentangling Factors of Variation with Cycle-Consistent Variational Auto-encoders. - Ananya Harsh Jha; Saket Anand; Maneesh Singh 001; V. S. R. Veeravasarapu (ECCV (3), 2018)

Diverse Image-to-Image Translation via Disentangled Representations. - Hsin-Ying Lee 001; Hung-Yu Tseng; Jia-Bin Huang 001; Maneesh Singh 001; Ming-Hsuan Yang 001 (ECCV (1), 2018)

Adversarial Learning of Raw Speech Features for Domain Invariant Speech Recognition. - Aditay Tripathi; Aanchan Mohan; Saket Anand; Maneesh Singh 001 (ICASSP, 2018)

Disconnected Manifold Learning for Generative Adversarial Networks. - Mahyar Khayatkhoei; Maneesh Singh 001; Ahmed Elgammal (NeurIPS, 2018)

SpliceRadar: A Learned Method For Blind Image Forensics. - Aurobrata Ghosh; Zheng Zhong; Terrance E. Boult; Maneesh Singh 001 (CVPR Workshops, 2019)

Progressive Domain Adaptation for Object Detection. - Han-Kai Hsu; Wei-Chih Hung; Hung-Yu Tseng; Chun-Han Yao; Yi-Hsuan Tsai; Maneesh Singh 001; Ming-Hsuan Yang 001 (CVPR Workshops, 2019)

Sampling Bias in Deep Active Classification: An Empirical Study. - Ameya Prabhu; Charles Dognin; Maneesh Singh 001 (EMNLP/IJCNLP (1), 2019)

Compositional Video Prediction. - Yufei Ye; Maneesh Singh 001; Abhinav Gupta 001; Shubham Tulsiani (ICCV, 2019)

Massively Parallel Benders Decomposition for Correlation Clustering. - Margret Keuper; Maneesh Singh 001; Julian Yarkony (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 001 (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 001 (CoRR, 2019)

End-to-end Training of CNN-CRF via Differentiable Dual-Decomposition. - Shaofei Wang; Vishnu Suresh Lokhande; Maneesh Singh 001; Konrad P. Körding; Julian Yarkony (CoRR, 2019)

Accelerating Column Generation via Flexible Dual Optimal Inequalities with Application to Entity Resolution. - Vishnu Suresh Lokhande; Shaofei Wang; Maneesh Singh 001; Julian Yarkony (AAAI, 2020)

ProAlignNet: Unsupervised Learning for Progressively Aligning Noisy Contours. - V. S. R. Veeravasarapu; Abhishek Goel; Deepak Mittal; Maneesh Kumar Singh 001 (CVPR, 2020)

HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification. - Yichen Jiang; Shikha Bordia; Zheng Zhong; Charles Dognin; Maneesh Kumar Singh 001; Mohit Bansal (EMNLP (Findings), 2020)

Infoprint: Information Theoretic Digital Image Forensics. - Aurobrata Ghosh; Zheng Zhong; Steve Cruz; Subbu Veeravasarapu; Maneesh Kumar Singh 001; Terrance E. Boult (ICIP, 2020)

Multiscale System for Alzheimer's Dementia Recognition Through Spontaneous Speech. - Erik Edwards; Charles Dognin; Bajibabu Bollepalli; Maneesh Kumar Singh 001 (INTERSPEECH, 2020)

A Benders Decomposition Approach to Correlation Clustering. - Jovita Lukasik; Margret Keuper; Maneesh Singh 001; Julian Yarkony (MLHPC/AI4S@SC, 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 001 (CoRR, 2020)

DRIT++: Diverse Image-to-Image Translation via Disentangled Representations. - Hsin-Ying Lee 001; Hung-Yu Tseng; Qi Mao 002; Jia-Bin Huang 001; Yu-Ding Lu; Maneesh Singh 001; Ming-Hsuan Yang 001 (Int. J. Comput. Vis., 2020)

On Lipschitz Bounds of General Convolutional Neural Networks. - Dongmian Zou; Radu V. Balan; Maneesh Singh 001 (IEEE Trans. Inf. Theory, 2020)

Data Association via Set Packing for Computer Vision Applications. - Julian Yarkony; Yossiri Adulyasak; Maneesh Kumar Singh 001; Guy Desaulniers (INFORMS J. Optim., 2020)

Learning to Stylize Novel Views. - Hsin-Ping Huang; Hung-Yu Tseng; Saurabh Saini; Maneesh Singh 001; Ming-Hsuan Yang 001 (ICCV, 2021)

Deep Implicit Surface Point Prediction Networks. - Rahul Venkatesh; Tejan Karmali; Sarthak Sharma; Aurobrata Ghosh; R. Venkatesh Babu; László A. Jeni; Maneesh Singh 001 (ICCV, 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 001 (IJCAI, 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 001 (Interspeech, 2021)

Attentive Contractive Flow: Improved Contractive Flows with Lipschitz-constrained Self-Attention. - Avideep Mukherjee; Badri Narayana Patro; Sahil Sidheekh; Maneesh Singh 001; Vinay P. Namboodiri (CoRR, 2021)

Class Incremental Online Streaming Learning. - Soumya Banerjee; Vinay Kumar Verma; Toufiq Parag; Maneesh Singh 001; Vinay P. Namboodiri (CoRR, 2021)

SISL: Self-Supervised Image Signature Learning for Splicing Detection & Localization. - Susmit Agrawal; Prabhat Kumar; Siddharth Seth; Toufiq Parag; Maneesh Singh 001; R. Venkatesh Babu (CVPR Workshops, 2022)

AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation. - Paritosh Mittal; Yen-Chi Cheng; Maneesh Singh 001; Shubham Tulsiani (CVPR, 2022)

Hierarchical Semantic Regularization of Latent Spaces in StyleGANs. - Tejan Karmali; Rishubh Parihar; Susmit Agrawal; Harsh Rangwani; Varun Jampani; Maneesh Kumar Singh 001; R. Venkatesh Babu (ECCV (15), 2022)

DocInfer: Document-level Natural Language Inference using Optimal Evidence Selection. - Puneet Mathur; Gautam Kunapuli; Riyaz A. Bhat; Manish Shrivastava 001; Dinesh Manocha; Maneesh Singh 001 (EMNLP, 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 001 (INTERSPEECH, 2022)

SPLICEOUT: A Simple and Efficient Audio Augmentation Method. - Arjit Jain; Pranay Reddy Samala; Deepak Mittal; Preethi Jyothi; Maneesh Singh 001 (INTERSPEECH, 2022)

VQ-Flows: Vector quantized local normalizing flows. - Sahil Sidheekh; Chris B. Dock; Tushar Jain; Radu V. Balan; Maneesh Kumar Singh 001 (UAI, 2022)

Permutation Invariant Representations with Applications to Graph Deep Learning. - Radu V. Balan; Naveed Haghani; Maneesh Singh 001 (CoRR, 2022)

SISL: Self-Supervised Image Signature Learning for Splicing Detection and Localization. - Susmit Agrawal; Prabhat Kumar; Siddharth Seth; Toufiq Parag; Maneesh Kumar Singh 001; R. Venkatesh Babu (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 001 (CoRR, 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 001 (CoRR, 2022)

Is My Model Using The Right Evidence? Systematic Probes for Examining Evidence-Based Tabular Reasoning. - Vivek Gupta 001; Riyaz A. Bhat; Atreya Ghosal; Manish Shrivastava 001; Maneesh Kumar Singh 001; Vivek Srikumar (Trans. Assoc. Comput. Linguistics, 2022)

Unveiling The Mask of Position-Information Pattern Through the Mist of Image Features. - Chieh Hubert Lin; Hung-Yu Tseng; Hsin-Ying Lee 001; Maneesh Kumar Singh 001; Ming-Hsuan Yang 001 (ICML, 2023)

Geometry-biased Transformers for Novel View Synthesis. - Naveen Venkat; Mayank Agarwal; Maneesh Kumar Singh 001; Shubham Tulsiani (CoRR, 2023)