Maneesh Singh - RankMe

59 papers A* 10A 3Misc 1Journal 31Unranked 14

Year	Rank	Type	Title / Venue / Authors
2022	A	`conf`	Acoustic Representation Learning on Breathing and Speech Signals for COVID-19 Detection. INTERSPEECH Debottam Dutta, Debarpan Bhattacharya, Sriram Ganapathy, Amir Hossein Poorjam, Deepak Mittal, Maneesh Singh
2022	A*	`conf`	AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation. CVPR Paritosh Mittal, Yen-Chi Cheng, Maneesh Singh, Shubham Tulsiani
2022	J	`jnl`	AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation. CoRR Paritosh Mittal, Yen-Chi Cheng, Maneesh Singh, Shubham Tulsiani
2022	A*	`conf`	DocInfer: Document-level Natural Language Inference using Optimal Evidence Selection. EMNLP Puneet Mathur, Gautam Kunapuli, Riyaz A. Bhat, Manish Shrivastava, Dinesh Manocha, Maneesh Singh
2022	J	`jnl`	Hierarchical Semantic Regularization of Latent Spaces in StyleGANs. CoRR Tejan Karmali, Rishubh Parihar, Susmit Agrawal, Harsh Rangwani, Varun Jampani, Maneesh Singh, R. Venkatesh Babu
2022	J	`jnl`	Permutation Invariant Representations with Applications to Graph Deep Learning. CoRR Radu V. Balan, Naveed Haghani, Maneesh Singh
2022	—	`conf`	SISL: Self-Supervised Image Signature Learning for Splicing Detection & Localization. CVPR Workshops Susmit Agrawal, Prabhat Kumar, Siddharth Seth, Toufiq Parag, Maneesh Singh, R. Venkatesh Babu
2022	A	`conf`	SPLICEOUT: A Simple and Efficient Audio Augmentation Method. INTERSPEECH Arjit Jain, Pranay Reddy Samala, Deepak Mittal, Preethi Jyothi, Maneesh Singh
2021	J	`jnl`	Attentive Contractive Flow: Improved Contractive Flows with Lipschitz-constrained Self-Attention. CoRR Avideep Mukherjee, Badri Narayana Patro, Sahil Sidheekh, Maneesh Singh, Vinay P. Namboodiri
2021	J	`jnl`	Class Incremental Online Streaming Learning. CoRR Soumya Banerjee, Vinay Kumar Verma, Toufiq Parag, Maneesh Singh, Vinay P. Namboodiri
2021	A*	`conf`	Deep Implicit Surface Point Prediction Networks. ICCV Rahul Venkatesh, Tejan Karmali, Sarthak Sharma, Aurobrata Ghosh, R. Venkatesh Babu, László A. Jeni, Maneesh Singh
2021	J	`jnl`	Deep Implicit Surface Point Prediction Networks. CoRR Rahul Venkatesh, Tejan Karmali, Sarthak Sharma, Aurobrata Ghosh, R. Venkatesh Babu, László A. Jeni, Maneesh Singh
2021	A	`conf`	Investigating Feature Selection and Explainability for COVID-19 Diagnostics from Cough Sounds. Interspeech Flávio Ávila, Amir H. Poorjam, Deepak Mittal, Charles Dognin, Ananya Muguli, Rohit Kumar, Srikanth Raj Chetupalli, Sriram Ganapathy, Maneesh Singh
2021	J	`jnl`	Is My Model Using The Right Evidence? Systematic Probes for Examining Evidence-Based Tabular Reasoning. CoRR Vivek Gupta, Riyaz A. Bhat, Atreya Ghosal, Manish Shrivastava, Maneesh Singh, Vivek Srikumar
2021	A*	`conf`	Learning to Stylize Novel Views. ICCV Hsin-Ping Huang, Hung-Yu Tseng, Saurabh Saini, Maneesh Singh, Ming-Hsuan Yang
2021	J	`jnl`	SpliceOut: A Simple and Efficient Audio Augmentation Method. CoRR Arjit Jain, Pranay Reddy Samala, Deepak Mittal, Preethi Jyothi, Maneesh Singh
2020	—	`conf`	A Benders Decomposition Approach to Correlation Clustering. MLHPC/AI4S@SC Jovita Lukasik, Margret Keuper, Maneesh Singh, Julian Yarkony
2020	A*	`conf`	Accelerating Column Generation via Flexible Dual Optimal Inequalities with Application to Entity Resolution. AAAI Vishnu Suresh Lokhande, Shaofei Wang, Maneesh Singh, Julian Yarkony
2020	J	`jnl`	DRIT++: Diverse Image-to-Image Translation via Disentangled Representations. Int. J. Comput. Vis. Hsin-Ying Lee, Hung-Yu Tseng, Qi Mao, Jia-Bin Huang, Yu-Ding Lu, Maneesh Singh, Ming-Hsuan Yang
2020	J	`jnl`	DUDE: Deep Unsigned Distance Embeddings for Hi-Fidelity Representation of Complex 3D Surfaces. CoRR Rahul Venkatesh, Sarthak Sharma, Aurobrata Ghosh, László A. Jeni, Maneesh Singh
2020	J	`jnl`	HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification. CoRR Yichen Jiang, Shikha Bordia, Zheng Zhong, Charles Dognin, Maneesh Singh, Mohit Bansal
2020	J	`jnl`	On Lipschitz Bounds of General Convolutional Neural Networks. IEEE Trans. Inf. Theory Dongmian Zou, Radu V. Balan, Maneesh Singh
2019	J	`jnl`	Accelerating Column Generation via Flexible Dual Optimal Inequalities with Application to Entity Resolution. CoRR Vishnu Suresh Lokhande, Shaofei Wang, Maneesh Singh, Julian Yarkony
2019	A*	`conf`	Compositional Video Prediction. ICCV Yufei Ye, Maneesh Singh, Abhinav Gupta, Shubham Tulsiani
2019	J	`jnl`	Compositional Video Prediction. CoRR Yufei Ye, Maneesh Singh, Abhinav Gupta, Shubham Tulsiani
2019	J	`jnl`	DRIT++: Diverse Image-to-Image Translation via Disentangled Representations. CoRR Hsin-Ying Lee, Hung-Yu Tseng, Qi Mao, Jia-Bin Huang, Yu-Ding Lu, Maneesh Singh, Ming-Hsuan Yang
2019	J	`jnl`	End-to-end Training of CNN-CRF via Differentiable Dual-Decomposition. CoRR Shaofei Wang, Vishnu Suresh Lokhande, Maneesh Singh, Konrad P. Körding, Julian Yarkony
2019	J	`jnl`	Massively Parallel Benders Decomposition for Correlation Clustering. CoRR Margret Keuper, Maneesh Singh, Julian Yarkony
2019	—	`conf`	Progressive Domain Adaptation for Object Detection. CVPR Workshops Han-Kai Hsu, Wei-Chih Hung, Hung-Yu Tseng, Chun-Han Yao, Yi-Hsuan Tsai, Maneesh Singh, Ming-Hsuan Yang
2019	J	`jnl`	Progressive Domain Adaptation for Object Detection. CoRR Han-Kai Hsu, Chun-Han Yao, Yi-Hsuan Tsai, Wei-Chih Hung, Hung-Yu Tseng, Maneesh Singh, Ming-Hsuan Yang
2019	—	`conf`	Sampling Bias in Deep Active Classification: An Empirical Study. EMNLP/IJCNLP (1) Ameya Prabhu, Charles Dognin, Maneesh Singh
2019	J	`jnl`	Sampling Bias in Deep Active Classification: An Empirical Study. CoRR Ameya Prabhu, Charles Dognin, Maneesh Singh
2019	—	`conf`	SpliceRadar: A Learned Method For Blind Image Forensics. CVPR Workshops Aurobrata Ghosh, Zheng Zhong, Terrance E. Boult, Maneesh Singh
2019	J	`jnl`	SpliceRadar: A Learned Method For Blind Image Forensics. CoRR Aurobrata Ghosh, Zheng Zhong, Terrance E. Boult, Maneesh Singh
2019	J	`jnl`	To Beta or Not To Beta: Information Bottleneck for DigitaL Image Forensics. CoRR Aurobrata Ghosh, Zheng Zhong, Steve Cruz, Subbu Veeravasarapu, Terrance E. Boult, Maneesh Singh
2019	J	`jnl`	Wavelets to the Rescue: Improving Sample Quality of Latent Variable Deep Generative Models. CoRR Prashnna K. Gyawali, Rudra Saha, Linwei Wang, V. S. R. Veeravasarapu, Maneesh Singh
2018	Misc	`conf`	Adversarial Learning of Raw Speech Features for Domain Invariant Speech Recognition. ICASSP Aditay Tripathi, Aanchan Mohan, Saket Anand, Maneesh Singh
2018	J	`jnl`	Adversarial Learning of Raw Speech Features for Domain Invariant Speech Recognition. CoRR Aditay Tripathi, Aanchan Mohan, Saket Anand, Maneesh Singh
2018	A*	`conf`	Disconnected Manifold Learning for Generative Adversarial Networks. NeurIPS Mahyar Khayatkhoei, Maneesh Singh, Ahmed Elgammal
2018	J	`jnl`	Disconnected Manifold Learning for Generative Adversarial Networks. CoRR Mahyar Khayatkhoei, Maneesh Singh, Ahmed Elgammal
2018	J	`jnl`	Disentangling Factors of Variation with Cycle-Consistent Variational Auto-Encoders. CoRR Ananya Harsh Jha, Saket Anand, Maneesh Singh, V. S. R. Veeravasarapu
2018	—	`conf`	Disentangling Factors of Variation with Cycle-Consistent Variational Auto-encoders. ECCV (3) Ananya Harsh Jha, Saket Anand, Maneesh Singh, V. S. R. Veeravasarapu
2018	—	`conf`	Diverse Image-to-Image Translation via Disentangled Representations. ECCV (1) Hsin-Ying Lee, Hung-Yu Tseng, Jia-Bin Huang, Maneesh Singh, Ming-Hsuan Yang
2018	J	`jnl`	On Lipschitz Bounds of General Convolutional Neural Networks. CoRR Dongmian Zou, Radu V. Balan, Maneesh Singh
2017	J	`jnl`	Lipschitz Properties for Deep Convolutional Networks. CoRR Radu V. Balan, Maneesh Singh, Dongmian Zou
2017	A*	`conf`	Unsupervised Representation Learning by Sorting Sequences. ICCV Hsin-Ying Lee, Jia-Bin Huang, Maneesh Singh, Ming-Hsuan Yang
2017	J	`jnl`	Unsupervised Representation Learning by Sorting Sequences. CoRR Hsin-Ying Lee, Jia-Bin Huang, Maneesh Singh, Ming-Hsuan Yang
2015	J	`jnl`	Stratification of coronary artery disease patients for revascularization procedure based on estimating adverse effects. BMC Medical Informatics Decis. Mak. Sebastian Pölsterl, Maneesh Singh, Amin Katouzian, Nassir Navab, Adnan Kastrati, Lance Ladic, Ali Kamen
2012	—	`conf`	A grammar for hierarchical object descriptions in logic programs. CVPR Workshops Toufiq Parag, Claus Bahlmann, Vinay D. Shet, Maneesh Singh
2012	—	`conf`	Automated malignancy detection in breast histopathological images. Computer-Aided Diagnosis 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
2011	J	`jnl`	Predicate Logic Based Image Grammars for Complex Pattern Recognition. Int. J. Comput. Vis. Vinay D. Shet, Maneesh Singh, Claus Bahlmann, Visvanathan Ramesh, Jan Neumann, Larry S. Davis
2010	A*	`conf`	Illumination compensation based change detection using order consistency. CVPR Vasu Parameswaran, Maneesh Singh, Visvanathan Ramesh
2009	—	`conf`	Predicate logic based image grammars for complex pattern recognition. CVPR Workshops Vinay D. Shet, Maneesh Singh, Claus Bahlmann, Visvanathan Ramesh
2009	J	`jnl`	State-of-the-art on spatio-temporal information-based video retrieval. Pattern Recognit. Wei Ren, Sameer Singh, Maneesh Singh, Y. S. Zhu
2008	A*	`conf`	Order consistent change detection via fast statistical significance testing. CVPR Maneesh Singh, Vasu Parameswaran, Visvanathan Ramesh
2005	—	`conf`	Robust Pulmonary Nodule Segmentation in CT: Improving Performance for Juxtapleural Cases. MICCAI (2) Kazunori Okada, Visvanathan Ramesh, Arun Krishnan, Maneesh Singh, Umut Akdemir
2004	—	`conf`	A Robust Nonparametric Estimation Framework for Implicit Image Models. ICVGIP Himanshu Arora, Maneesh Singh, Narendra Ahuja
2004	—	`conf`	Robust Registration and Tracking Using Kernel Density Correlation. CVPR Workshops Maneesh Singh, Himanshu Arora, Narendra Ahuja
1999	—	`conf`	Segmentation Based Denoising Using Multiple Compaction Domains. ICIP (1) Maneesh Singh, Prakash Ishwar, Krishna Ratakonda, Narendra Ahuja