Abhinav Shrivastava

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Abhinav GuptaAssociate Professor, Robotics Institute, Carnegie Mellon UniversityDirección de correo verificada de cs.cmu.edu
Saurabh SinghResearch Scientist, GoogleDirección de correo verificada de google.com
Larry DavisProfessor of Computer Science, University of MarylandDirección de correo verificada de cs.umd.edu
Sernam LimFacebook AIDirección de correo verificada de fb.com
Chen SunAssistant Professor, Brown UniversityDirección de correo verificada de brown.edu
Ishan MisraResearch Scientist, Facebook AI ResearchDirección de correo verificada de fb.com
Carl VondrickAssistant Professor, Columbia UniversityDirección de correo verificada de columbia.edu
martial hebertCMUDirección de correo verificada de ri.cmu.edu
Kevin MurphyResearch Scientist, GoogleDirección de correo verificada de google.com
Kamal GuptaUniversity of Maryland, College ParkDirección de correo verificada de cs.umd.edu
Xinlei ChenFAIR, MetaDirección de correo verificada de fb.com
Rahul SukthankarGoogle ResearchDirección de correo verificada de google.com
Ross GirshickResearch Scientist, Facebook AI Research (FAIR)Dirección de correo verificada de eecs.berkeley.edu
Ramalingam ChellappaBloomberg Distinguished Professor, Johns Hopkins UniversityDirección de correo verificada de jhu.edu
Alexei A. EfrosUC BerkeleyDirección de correo verificada de eecs.berkeley.edu
Sai Saketh RambhatlaUniversity of Maryland College ParkDirección de correo verificada de umd.edu
Bo HeUniversity of Maryland, College ParkDirección de correo verificada de umd.edu
Zuxuan WuFudan UniversityDirección de correo verificada de fudan.edu.cn
Hao ChenPh.D. student of University of Maryland, College ParkDirección de correo verificada de umd.edu
Max EhrlichNVIDIA, University of MarylandDirección de correo verificada de nvidia.com

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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 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016	2242	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	2060	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	1109	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	607	2017
NEIL: Extracting Visual Knowledge from Web Data X Chen, A Shrivastava, A Gupta International Conference on Computer Vision (ICCV) 2, 2013	556	2013
Beyond Skip Connections: Top-Down Modulation for Object Detection A Shrivastava, R Sukthankar, J Malik, A Gupta arXiv preprint arXiv:1612.06851, 2016	348	2016
Tracking emerges by colorizing videos C Vondrick, A Shrivastava, A Fathi, S Guadarrama, K Murphy Proc. ECCV, 2018	340	2018
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	314	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	178	2018
Contextual Priming and Feedback for Faster R-CNN. A Shrivastava, A Gupta ECCV (1), 330-348, 2016	170	2016
Enriching Visual Knowledge Bases via Object Discovery and Segmentation X Chen, A Shrivastava, A Gupta Computer Vision and Pattern Recognition (CVPR), 2014	145	2014
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	143	2015
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	114	2012
Curriculum Manager for Source Selection in Multi-Source Domain Adaptation L Yang, Y Balaji, SN Lim, A Shrivastava ECCV 2020, 2020	80	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	69	2019
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	65	2020
Building parts-based object detectors via 3D geometry A Shrivastava, A Gupta International Conference on Computer Vision (ICCV) 206, 2013	53	2013
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	49	2021
Generate, Segment and Refine: Towards Generic Manipulation Segmentation P Zhou, BC Chen, X Han, M Najibi, A Shrivastava, SN Lim, LS Davis	49*
Quantization Guided JPEG Artifact Correction M Ehrlich, L Davis, SN Lim, A Shrivastava ECCV 2020, arXiv: 2004.09320, 2020	47	2020

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