Abhinav Shrivastava

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Abhinav GuptaProfessor, Robotics Institute, Carnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Larry DavisProfessor of Computer Science, University of MarylandDirección de correo verificada de cs.umd.edu
Saurabh SinghResearch Scientist, GoogleDirección de correo verificada de google.com
Sernam LimAssociate Professor, CS, University of Central FloridaDirección de correo verificada de ucf.edu
Ishan MisraResearch Scientist, Facebook AI ResearchDirección de correo verificada de fb.com
Kamal GuptaUniversity of Maryland, College ParkDirección de correo verificada de cs.umd.edu
Chen SunAssistant Professor, Brown UniversityDirección de correo verificada de brown.edu
Carl VondrickAssociate Professor, Columbia UniversityDirección de correo verificada de columbia.edu
Bo HeUniversity of Maryland, College ParkDirección de correo verificada de umd.edu
martial hebertCMUDirección de correo verificada de ri.cmu.edu
Kevin MurphyResearch Scientist, GoogleDirección de correo verificada de google.com
Ramalingam ChellappaBloomberg Distinguished Professor, Johns Hopkins UniversityDirección de correo verificada de jhu.edu
Hao ChenUniversity of Maryland, College ParkDirección de correo verificada de umd.edu
Sai Saketh RambhatlaUniversity of Maryland College ParkDirección de correo verificada de umd.edu
Xinlei ChenFAIR, MetaDirección de correo verificada de meta.com
Zuxuan WuFudan UniversityDirección de correo verificada de fudan.edu.cn
Rahul SukthankarGoogle ResearchDirección de correo verificada de google.com
Ross GirshickResearch Scientist, Allen Institute for Artificial Intelligence (AI2)Dirección de correo verificada de allenai.org
Saksham SuriPhD CS, University of MarylandDirección de correo verificada de cs.umd.edu
Sharath GirishPhD student at University of Maryland, College ParkDirección de correo verificada de umd.edu

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Abhinav Shrivastava

Assistant Professor, University of Maryland, College Park

Dirección de correo verificada de cs.umd.edu - Página principal

Computer Vision Machine Learning Robotics Computer Graphics Artificial Intelligence


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Training region-based object detectors with online hard example mining A Shrivastava, A Gupta, R Girshick Proceedings of the IEEE conference on computer vision and pattern …, 2016	2766	2016
Revisiting unreasonable effectiveness of data in deep learning era C Sun, A Shrivastava, S Singh, A Gupta Proceedings of the IEEE international conference on computer vision, 843-852, 2017	2755	2017
Cross-stitch Networks for Multi-task Learning I Misra, A Shrivastava, A Gupta, M Hebert IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016	1487	2016
A-fast-rcnn: Hard positive generation via adversary for object detection X Wang, A Shrivastava, A Gupta Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017	719	2017
NEIL: Extracting Visual Knowledge from Web Data X Chen, A Shrivastava, A Gupta International Conference on Computer Vision (ICCV) 2, 2013	592	2013
Tracking emerges by colorizing videos C Vondrick, A Shrivastava, A Fathi, S Guadarrama, K Murphy Proc. ECCV, 2018	434	2018
Beyond Skip Connections: Top-Down Modulation for Object Detection A Shrivastava, R Sukthankar, J Malik, A Gupta arXiv preprint arXiv:1612.06851, 2016	392	2016
Data-driven visual similarity for cross-domain image matching A Shrivastava, T Malisiewicz, A Gupta, AA Efros ACM Transaction of Graphics (TOG)(Proceedings of ACM SIGGRAPH ASIA) 30 (6), 2011	328	2011
Actor-centric relation network C Sun, A Shrivastava, C Vondrick, K Murphy, R Sukthankar, C Schmid Proceedings of the European Conference on Computer Vision (ECCV), 318-334, 2018	231	2018
Contextual Priming and Feedback for Faster R-CNN. A Shrivastava, A Gupta ECCV (1), 330-348, 2016	186	2016
Watch and Learn: Semi-Supervised Learning of Object Detectors from Videos I Misra, A Shrivastava, M Hebert IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015	150	2015
Enriching Visual Knowledge Bases via Object Discovery and Segmentation X Chen, A Shrivastava, A Gupta Computer Vision and Pattern Recognition (CVPR), 2014	146	2014
Nerv: Neural representations for videos H Chen, B He, H Wang, Y Ren, SN Lim, A Shrivastava Advances in Neural Information Processing Systems 34, 21557-21568, 2021	142	2021
Constrained semi-supervised learning using attributes and comparative attributes A Shrivastava, S Singh, A Gupta Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012	120	2012
Layouttransformer: Layout generation and completion with self-attention K Gupta, J Lazarow, A Achille, LS Davis, V Mahadevan, A Shrivastava Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021	117	2021
Curriculum Manager for Source Selection in Multi-Source Domain Adaptation L Yang, Y Balaji, SN Lim, A Shrivastava ECCV 2020, 2020	116	2020
Detecting human-object interactions via functional generalization A Bansal, SS Rambhatla, A Shrivastava, R Chellappa Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 10460 …, 2020	107	2020
Generate, Segment and Refine: Towards Generic Manipulation Segmentation P Zhou, BC Chen, X Han, M Najibi, A Shrivastava, SN Lim, LS Davis	95*
Quantization Guided JPEG Artifact Correction M Ehrlich, L Davis, SN Lim, A Shrivastava ECCV 2020, arXiv: 2004.09320, 2020	90	2020
Relational Action Forecasting C Sun, A Shrivastava, C Vondrick, R Sukthankar, K Murphy, C Schmid Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019	87	2019

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