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ORCIDGautam Singh
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2020 – today
- 2024
[c20]Gautam Singh, Yue Wang, Jiawei Yang, Boris Ivanovic, Sungjin Ahn, Marco Pavone, Tong Che:
Parallelized Spatiotemporal Slot Binding for Videos. ICML 2024- [i16]Gautam Singh, Yue Wang, Jiawei Yang, Boris Ivanovic, Sungjin Ahn, Marco Pavone, Tong Che:
Parallelized Spatiotemporal Binding. CoRR abs/2402.17077 (2024) - [i15]Jindong Jiang, Fei Deng, Gautam Singh, Minseung Lee, Sungjin Ahn:
Slot State Space Models. CoRR abs/2406.12272 (2024) - 2023
- [j12]Gautam Singh, Srinivasan Natesan
, Ali Sendur:
Superconvergence error analysis of discontinuous Galerkin method with interior penalties for 2D elliptic convection - diffusion - reaction problems. Int. J. Comput. Math. 100(5): 948-967 (2023) - [c19]Gautam Singh, Yeongbin Kim, Sungjin Ahn:
Neural Systematic Binder. ICLR 2023 - [c18]Jindong Jiang, Fei Deng, Gautam Singh, Sungjin Ahn:
Object-Centric Slot Diffusion. NeurIPS 2023 - [c17]Yeongbin Kim, Gautam Singh, Junyeong Park, Çaglar Gülçehre, Sungjin Ahn:
Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World Models. NeurIPS 2023 - [i14]Jindong Jiang, Fei Deng, Gautam Singh, Sungjin Ahn:
Object-Centric Slot Diffusion. CoRR abs/2303.10834 (2023) - [i13]Yeongbin Kim, Gautam Singh, Junyeong Park, Çaglar Gülçehre, Sungjin Ahn:
Imagine the Unseen World: A Benchmark for Systematic Generalization in Visual World Models. CoRR abs/2311.09064 (2023) - 2022
- [j11]Gautam Singh, Srinivasan Natesan:
Superconvergence error estimates of discontinuous Galerkin time stepping for singularly perturbed parabolic problems. Numer. Algorithms 90(3): 1073-1090 (2022) - [c16]Gautam Singh, Fei Deng, Sungjin Ahn:
Illiterate DALL-E Learns to Compose. ICLR 2022 - [c15]Gautam Singh, Yi-Fu Wu, Sungjin Ahn:
Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos. NeurIPS 2022 - [i12]Gautam Singh, Yi-Fu Wu, Sungjin Ahn:
Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos. CoRR abs/2205.14065 (2022) - [i11]Gautam Singh, Yeongbin Kim, Sungjin Ahn:
Neural Block-Slot Representations. CoRR abs/2211.01177 (2022) - 2021
- [j10]Maneesh Kumar Singh, Gautam Singh, Srinivasan Natesan:
A unified study on superconvergence analysis of Galerkin FEM for singularly perturbed systems of multiscale nature. J. Appl. Math. Comput. 66(1-2): 221-243 (2021) - [c14]Gautam Singh, Skand Vishwanath Peri, Junghyun Kim, Hyunseok Kim, Sungjin Ahn:
Structured World Belief for Reinforcement Learning in POMDP. ICML 2021: 9744-9755 - [i10]Gautam Singh, Skand Vishwanath Peri, Junghyun Kim, Hyunseok Kim, Sungjin Ahn:
Structured World Belief for Reinforcement Learning in POMDP. CoRR abs/2107.08577 (2021) - [i9]Gautam Singh, Fei Deng, Sungjin Ahn:
Illiterate DALL-E Learns to Compose. CoRR abs/2110.11405 (2021) - 2020
- [j9]Gautam Singh, Srinivasan Natesan:
Study of the NIPG method for two-parameter singular perturbation problems on several layer adapted grids. J. Appl. Math. Comput. 63(1-2): 683-705 (2020) - [c13]Zhixuan Lin, Yi-Fu Wu, Skand Vishwanath Peri, Weihao Sun, Gautam Singh, Fei Deng, Jindong Jiang, Sungjin Ahn:
SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition. ICLR 2020 - [c12]Jaesik Yoon, Gautam Singh, Sungjin Ahn:
Robustifying Sequential Neural Processes. ICML 2020: 10861-10870 - [i8]Zhixuan Lin, Yi-Fu Wu, Skand Vishwanath Peri, Weihao Sun, Gautam Singh, Fei Deng, Jindong Jiang, Sungjin Ahn:
SPACE: Unsupervised Object-Oriented Scene Representation via Spatial Attention and Decomposition. CoRR abs/2001.02407 (2020) - [i7]Karan Dabas, Nishtha Madaan, Vijay Arya, Sameep Mehta, Gautam Singh, Tanmoy Chakraborty:
Fair Transfer of Multiple Style Attributes in Text. CoRR abs/2001.06693 (2020) - [i6]Jaesik Yoon, Gautam Singh, Sungjin Ahn:
Robustifying Sequential Neural Processes. CoRR abs/2006.15987 (2020)
2010 – 2019
- 2019
- [c11]Gautam Singh, Jaesik Yoon, Youngsung Son, Sungjin Ahn:
Sequential Neural Processes. NeurIPS 2019: 10254-10264 - [i5]Gautam Singh, Jaesik Yoon, Youngsung Son, Sungjin Ahn:
Sequential Neural Processes. CoRR abs/1906.10264 (2019) - 2018
- [c10]Nishtha Madaan, Gautam Singh, Srikanta Bedathur, Arun Kumar:
A Change Tracking Framework for Financial Documents. SCC 2018: 81-88 - [c9]Abhirut Gupta, Anupama Ray, Gargi Dasgupta, Gautam Singh, Pooja Aggarwal, Prateeti Mohapatra:
Semantic Parsing for Technical Support Questions. COLING 2018: 3251-3259 - [c8]Gautam Singh, Gargi Dasgupta, Yu Deng:
Fast Nearest-Neighbor Classification Using RNN in Domains with Large Number of Classes. ICSOC Workshops 2018: 309-321 - [i4]Nishtha Madaan, Gautam Singh, Sameep Mehta, Aditya Chetan, Brihi Joshi:
Generating Clues for Gender based Occupation De-biasing in Text. CoRR abs/1804.03839 (2018) - [i3]Abhirut Gupta, Abhay Khosla, Gautam Singh, Gargi Dasgupta:
Mining Procedures from Technical Support Documents. CoRR abs/1805.09780 (2018) - 2017
- [c7]Nishtha Madaan, Gautam Singh, Arun Kumar, Gargi Banerjee Dasgupta:
Neev: A cognitive support agent for content improvement in hardware tickets. IM 2017: 239-246 - [i2]Gautam Singh, Gargi Dasgupta, Yu Deng:
Fast Nearest-Neighbor Classification using RNN in Domains with Large Number of Classes. CoRR abs/1712.03941 (2017) - 2016
- [p1]Gautam Singh, Jana Kosecká:
Semantically Guided Geo-location and Modeling in Urban Environments. Large-Scale Visual Geo-Localization 2016: 101-120 - [i1]Gautam Singh, Saemi Jang, Mun Yong Yi:
Cross-Lingual Predicate Mapping Between Linked Data Ontologies. CoRR abs/1612.01892 (2016) - 2015
- [b1]Gautam Singh:
Visual Scene Understanding through Semantic Segmentation. George Mason University, Fairfax, Virginia, USA, 2015 - [c6]Gautam Singh, Suresh Sundaram:
A subtractive clustering scheme for text-independent online writer identification. ICDAR 2015: 311-315 - 2014
- [c5]Gautam Singh, Jana Kosecka:
Introspective semantic segmentation. WACV 2014: 714-720 - 2013
- [j8]Ana Cristina Murillo, Gautam Singh, Jana Kosecká, José Jesús Guerrero:
Localization in Urban Environments Using a Panoramic Gist Descriptor. IEEE Trans. Robotics 29(1): 146-160 (2013) - [c4]Gautam Singh, Jana Kosecka:
Nonparametric Scene Parsing with Adaptive Feature Relevance and Semantic Context. CVPR 2013: 3151-3157 - 2012
- [j7]Branislav Micusík, Jana Kosecká, Gautam Singh:
Semantic parsing of street scenes from video. Int. J. Robotics Res. 31(4): 484-497 (2012) - [j6]Subhagata Chattopadhyay, Rima M. Davis, Daphne D. Menezes, Gautam Singh, U. Rajendra Acharya, Toshiyo Tamura:
Application of Bayesian Classifier for the Diagnosis of Dental Pain. J. Medical Syst. 36(3): 1425-1439 (2012) - [j5]Yuanpeng Janet Huang, Antonio Rosato, Gautam Singh, Gaetano T. Montelione:
RPF: a quality assessment tool for protein NMR structures. Nucleic Acids Res. 40(Web-Server-Issue): 542-546 (2012) - [c3]Gautam Singh, Jana Kosecka:
Acquiring semantics induced topology in urban environments. ICRA 2012: 3509-3514 - 2011
- [c2]Evelyne Tzoukermann, Jan Neumann, Jana Kosecka, Cornelia Fermüller, Ian Perera, Frank Ferraro, Benjamin Sapp, Rizwan Chaudhry, Gautam Singh:
Language Models for Semantic Extraction and Filtering in Video Action Recognition. Language-Action Tools for Cognitive Artificial Agents 2011 - [c1]Benjamin Sapp, Rizwan Chaudhry, Xiaodong Yu, Gautam Singh, Ian Perera, Francis Ferraro, Evelyne Tzoukermann, Jana Kosecka, Jan Neumann:
Recognizing manipulation actions in arts and crafts shows using domain-specific visual and textual cues. ICCV Workshops 2011: 1554-1561
2000 – 2009
- 2009
- [j4]David Poe, Nirmala Venkatraman, Christine Hansen, Gautam Singh:
Component-Based Approach for Educating Students in Bioinformatics. IEEE Trans. Educ. 52(1): 1-9 (2009) - 2008
- [j3]David Poe, Christine Hansen, Kellie McGowan, Gautam Singh:
Refining educational content through a closed-loop FLOW approach. ACM SIGCSE Bull. 40(2): 102-106 (2008)
1990 – 1999
- 1998
- [j2]Carol Harger, M. P. Skupski, J. Bingham, Andrew D. Farmer, S. Hoisie, Peter T. Hraber, Donald Kiphart, L. Krakowski, Mia McLeod, Jolene Schwertfeger, G. A. Seluja, Adam C. Siepel, Gautam Singh, David Stamper, Peter A. Steadman, Nina Thayer, R. Thompson, P. Wargo, Mark E. Waugh, J. J. Zhuang, Peter A. Schad:
The Genome Sequence DataBase (GSDB): improving data quality and data access. Nucleic Acids Res. 26(1): 21-26 (1998) - 1997
- [j1]Carol Harger, Marian Skupski, Ethan Allen, Christopher Clark, David Crowley, Emily Dickinson, David Easley, Ada Espinosa-Lujan, Andrew D. Farmer, Chris A. Fields, Leandrita Flores, Lynn Harris, Gifford Keen, Maurice Manning, Michael P. McLeod, John O'Neill, Maria Pumilia, Rhonda Reinert, David Rider, John Rohrlich, Yolanda Romero, Jolene Schwertfeger, Gustavo Seluja, Adam C. Siepel, Gautam Singh, Linda Smyth, David Stamper, Judy Stein, Randy Suggs, Rajini Takkallapalli, Nina Thayer, Gary Thompson, Colleen Walsh, Frederick Wedgeworth III, Peter A. Schad:
The Genome Sequence DataBase version 1.0 (GSDB): from low pass sequences to complete genomes. Nucleic Acids Res. 25(1): 18-23 (1997)
Coauthor Index
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