Maneesh Singh

Publication Activity (10 Years)

Years Active: 1999-2022
Publications (10 Years): 47

Top Topics

Invariant Representation

Generative Model

Top Venues

Publications

Arjit Jain, Pranay Reddy Samala, Deepak Mittal, Preethi Jyothi, Maneesh Singh
SPLICEOUT: A Simple and Efficient Audio Augmentation Method. INTERSPEECH (2022)
Paritosh Mittal, Yen-Chi Cheng, Maneesh Singh, Shubham Tulsiani
AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation. CoRR (2022)
Puneet Mathur, Gautam Kunapuli, Riyaz Bhat, Manish Shrivastava, Dinesh Manocha, Maneesh Singh
DocInfer: Document-level Natural Language Inference using Optimal Evidence Selection. EMNLP (2022)
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)
Radu V. Balan, Naveed Haghani, Maneesh Singh
Permutation Invariant Representations with Applications to Graph Deep Learning. CoRR (2022)
Paritosh Mittal, Yen-Chi Cheng, Maneesh Singh, Shubham Tulsiani
AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation. CVPR (2022)
Tejan Karmali, Rishubh Parihar, Susmit Agrawal, Harsh Rangwani, Varun Jampani, Maneesh Singh, R. Venkatesh Babu
Hierarchical Semantic Regularization of Latent Spaces in StyleGANs. CoRR (2022)
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)
Flávio Ávila, Amir H. Poorjam, Deepak Mittal, Charles Dognin, Ananya Muguli, Rohit Kumar, Srikanth Raj Chetupalli, Sriram Ganapathy, Maneesh Singh
Investigating Feature Selection and Explainability for COVID-19 Diagnostics from Cough Sounds. Interspeech (2021)
Hsin-Ping Huang, Hung-Yu Tseng, Saurabh Saini, Maneesh Singh, Ming-Hsuan Yang
Learning to Stylize Novel Views. ICCV (2021)
Soumya Banerjee, Vinay Kumar Verma, Toufiq Parag, Maneesh Singh, Vinay P. Namboodiri
Class Incremental Online Streaming Learning. CoRR (2021)
Arjit Jain, Pranay Reddy Samala, Deepak Mittal, Preethi Jyothi, Maneesh Singh
SpliceOut: A Simple and Efficient Audio Augmentation Method. CoRR (2021)
Avideep Mukherjee, Badri Narayana Patro, Sahil Sidheekh, Maneesh Singh, Vinay P. Namboodiri
Attentive Contractive Flow: Improved Contractive Flows with Lipschitz-constrained Self-Attention. CoRR (2021)
Rahul Venkatesh, Tejan Karmali, Sarthak Sharma, Aurobrata Ghosh, R. Venkatesh Babu, László A. Jeni, Maneesh Singh
Deep Implicit Surface Point Prediction Networks. CoRR (2021)
Rahul Venkatesh, Tejan Karmali, Sarthak Sharma, Aurobrata Ghosh, R. Venkatesh Babu, László A. Jeni, Maneesh Singh
Deep Implicit Surface Point Prediction Networks. ICCV (2021)
Vivek Gupta, Riyaz A. Bhat, Atreya Ghosal, Manish Srivastava, Maneesh Singh, Vivek Srikumar
Is My Model Using The Right Evidence? Systematic Probes for Examining Evidence-Based Tabular Reasoning. CoRR (2021)
Vishnu Suresh Lokhande, Shaofei Wang, Maneesh Singh, Julian Yarkony
Accelerating Column Generation via Flexible Dual Optimal Inequalities with Application to Entity Resolution. AAAI (2020)
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 (2020)
Yichen Jiang, Shikha Bordia, Zheng Zhong, Charles Dognin, Maneesh Singh, Mohit Bansal
HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification. CoRR (2020)
Dongmian Zou, Radu V. Balan, Maneesh Singh
On Lipschitz Bounds of General Convolutional Neural Networks. IEEE Trans. Inf. Theory 66 (3) (2020)
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) (2020)
Jovita Lukasik, Margret Keuper, Maneesh Singh, Julian Yarkony
A Benders Decomposition Approach to Correlation Clustering. MLHPC/AI4S@SC (2020)
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 (2019)
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 (2019)
Aurobrata Ghosh, Zheng Zhong, Terrance E. Boult, Maneesh Singh
SpliceRadar: A Learned Method For Blind Image Forensics. CoRR (2019)
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 (2019)
Shaofei Wang, Vishnu Suresh Lokhande, Maneesh Singh, Konrad P. Körding, Julian Yarkony
End-to-end Training of CNN-CRF via Differentiable Dual-Decomposition. CoRR (2019)
Aurobrata Ghosh, Zheng Zhong, Terrance E. Boult, Maneesh Singh
SpliceRadar: A Learned Method For Blind Image Forensics. CVPR Workshops (2019)
Vishnu Suresh Lokhande, Shaofei Wang, Maneesh Singh, Julian Yarkony
Accelerating Column Generation via Flexible Dual Optimal Inequalities with Application to Entity Resolution. CoRR (2019)
Margret Keuper, Maneesh Singh, Julian Yarkony
Massively Parallel Benders Decomposition for Correlation Clustering. CoRR (2019)
Yufei Ye, Maneesh Singh, Abhinav Gupta, Shubham Tulsiani
Compositional Video Prediction. ICCV (2019)
Ameya Prabhu, Charles Dognin, Maneesh Singh
Sampling Bias in Deep Active Classification: An Empirical Study. CoRR (2019)
Ameya Prabhu, Charles Dognin, Maneesh Singh
Sampling Bias in Deep Active Classification: An Empirical Study. EMNLP/IJCNLP (1) (2019)
Yufei Ye, Maneesh Singh, Abhinav Gupta, Shubham Tulsiani
Compositional Video Prediction. CoRR (2019)
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 (2019)
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)
Mahyar Khayatkhoei, Maneesh Singh, Ahmed Elgammal
Disconnected Manifold Learning for Generative Adversarial Networks. CoRR (2018)
Aditay Tripathi, Aanchan Mohan, Saket Anand, Maneesh Singh
Adversarial Learning of Raw Speech Features for Domain Invariant Speech Recognition. CoRR (2018)
Aditay Tripathi, Aanchan Mohan, Saket Anand, Maneesh Singh
Adversarial Learning of Raw Speech Features for Domain Invariant Speech Recognition. ICASSP (2018)
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)
Ananya Harsh Jha, Saket Anand, Maneesh Singh, V. S. R. Veeravasarapu
Disentangling Factors of Variation with Cycle-Consistent Variational Auto-encoders. ECCV (3) (2018)
Mahyar Khayatkhoei, Maneesh Singh, Ahmed Elgammal
Disconnected Manifold Learning for Generative Adversarial Networks. NeurIPS (2018)
Ananya Harsh Jha, Saket Anand, Maneesh Singh, V. S. R. Veeravasarapu
Disentangling Factors of Variation with Cycle-Consistent Variational Auto-Encoders. CoRR (2018)
Dongmian Zou, Radu V. Balan, Maneesh Singh
On Lipschitz Bounds of General Convolutional Neural Networks. CoRR (2018)
Radu V. Balan, Maneesh Singh, Dongmian Zou
Lipschitz Properties for Deep Convolutional Networks. CoRR (2017)
Hsin-Ying Lee, Jia-Bin Huang, Maneesh Singh, Ming-Hsuan Yang
Unsupervised Representation Learning by Sorting Sequences. ICCV (2017)
Hsin-Ying Lee, Jia-Bin Huang, Maneesh Singh, Ming-Hsuan Yang
Unsupervised Representation Learning by Sorting Sequences. CoRR (2017)
Sebastian Pölsterl, Maneesh Singh, Amin Katouzian, Nassir Navab, Adnan Kastrati, Lance Ladic, Ali Kamen
Stratification of coronary artery disease patients for revascularization procedure based on estimating adverse effects. BMC Medical Informatics Decis. Mak. 15 (2015)
Toufiq Parag, Claus Bahlmann, Vinay D. Shet, Maneesh Singh
A grammar for hierarchical object descriptions in logic programs. CVPR Workshops (2012)
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)
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) (2011)
Vasu Parameswaran, Maneesh Singh, Visvanathan Ramesh
Illumination compensation based change detection using order consistency. CVPR (2010)
Wei Ren, Sameer Singh, Maneesh Singh, Y. S. Zhu
State-of-the-art on spatio-temporal information-based video retrieval. Pattern Recognit. 42 (2) (2009)
Vinay D. Shet, Maneesh Singh, Claus Bahlmann, Visvanathan Ramesh
Predicate logic based image grammars for complex pattern recognition. CVPR Workshops (2009)
Maneesh Singh, Vasu Parameswaran, Visvanathan Ramesh
Order consistent change detection via fast statistical significance testing. CVPR (2008)
Kazunori Okada, Visvanathan Ramesh, Arun Krishnan, Maneesh Singh, Umut Akdemir
Robust Pulmonary Nodule Segmentation in CT: Improving Performance for Juxtapleural Cases. MICCAI (2) (2005)
Himanshu Arora, Maneesh Singh, Narendra Ahuja
A Robust Nonparametric Estimation Framework for Implicit Image Models. ICVGIP (2004)
Maneesh Singh, Himanshu Arora, Narendra Ahuja
Robust Registration and Tracking Using Kernel Density Correlation. CVPR Workshops (2004)
Maneesh Singh, Prakash Ishwar, Krishna Ratakonda, Narendra Ahuja
Segmentation Based Denoising Using Multiple Compaction Domains. ICIP (1) (1999)