Abhinav Shrivastava

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Coauteurs

Abhinav GuptaProfessor, Robotics Institute, Carnegie Mellon UniversityAdresse e-mail validée de cs.cmu.edu
Larry DavisProfessor of Computer Science, University of MarylandAdresse e-mail validée de cs.umd.edu
Saurabh SinghResearch Scientist, GoogleAdresse e-mail validée de google.com
Sernam LimAssociate Professor, CS, University of Central FloridaAdresse e-mail validée de ucf.edu
Kamal GuptaUniversity of Maryland, College ParkAdresse e-mail validée de cs.umd.edu
Ishan MisraResearch Scientist, Facebook AI ResearchAdresse e-mail validée de fb.com
Chen SunAssistant Professor, Brown UniversityAdresse e-mail validée de brown.edu
Bo HeUniversity of Maryland, College ParkAdresse e-mail validée de umd.edu
Carl VondrickAssociate Professor, Columbia UniversityAdresse e-mail validée de columbia.edu
Sai Saketh RambhatlaPostdoctoral ResearcherAdresse e-mail validée de meta.com
martial hebertCMUAdresse e-mail validée de ri.cmu.edu
Ramalingam ChellappaBloomberg Distinguished Professor, Johns Hopkins UniversityAdresse e-mail validée de jhu.edu
Kevin MurphyResearch Scientist, GoogleAdresse e-mail validée de google.com
Hao ChenByteDanceAdresse e-mail validée de cs.umd.edu
Sharath GirishPhD student at University of Maryland, College ParkAdresse e-mail validée de umd.edu
Zuxuan WuFudan UniversityAdresse e-mail validée de fudan.edu.cn
Hanyu WangPhD student, University of Maryland - College ParkAdresse e-mail validée de umd.edu
Saksham SuriPhD CS, University of MarylandAdresse e-mail validée de cs.umd.edu
Rahul SukthankarGoogle ResearchAdresse e-mail validée de google.com
Xinlei ChenFAIR, MetaAdresse e-mail validée de meta.com

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Abhinav Shrivastava

Associate Professor, University of Maryland, College Park

Adresse e-mail validée de cs.umd.edu - Page d'accueil

Computer Vision Machine Learning Robotics


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	3134	2017
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	2990	2016
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	1642	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	774	2017
NEIL: Extracting Visual Knowledge from Web Data X Chen, A Shrivastava, A Gupta International Conference on Computer Vision (ICCV) 2, 2013	604	2013
Tracking emerges by colorizing videos C Vondrick, A Shrivastava, A Fathi, S Guadarrama, K Murphy Proc. ECCV, 2018	480	2018
Beyond Skip Connections: Top-Down Modulation for Object Detection A Shrivastava, R Sukthankar, J Malik, A Gupta arXiv preprint arXiv:1612.06851, 2016	400	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	331	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	265	2018
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	213	2021
Contextual Priming and Feedback for Faster R-CNN. A Shrivastava, A Gupta ECCV (1), 330-348, 2016	190	2016
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	161	2021
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	155	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
Objectformer for image manipulation detection and localization J Wang, Z Wu, J Chen, X Han, A Shrivastava, SN Lim, YG Jiang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	133	2022
Curriculum Manager for Source Selection in Multi-Source Domain Adaptation L Yang, Y Balaji, SN Lim, A Shrivastava ECCV 2020, 2020	133	2020
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	126	2012
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	125	2020
Generate, Segment and Refine: Towards Generic Manipulation Segmentation P Zhou, BC Chen, X Han, M Najibi, A Shrivastava, SN Lim, LS Davis	123*
Quantization Guided JPEG Artifact Correction M Ehrlich, L Davis, SN Lim, A Shrivastava ECCV 2020, arXiv: 2004.09320, 2020	108	2020

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