Abhinav Shrivastava

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Abhinav GuptaAssociate Professor, Robotics Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Saurabh SinghResearch Scientist, GoogleVerified email at google.com
Larry DavisProfessor of Computer Science, University of MarylandVerified email at cs.umd.edu
Sernam LimFacebook AIVerified email at fb.com
Chen SunAssistant Professor, Brown UniversityVerified email at brown.edu
Ishan MisraResearch Scientist, Facebook AI ResearchVerified email at fb.com
Carl VondrickAssistant Professor, Columbia UniversityVerified email at columbia.edu
martial hebertCMUVerified email at ri.cmu.edu
Kevin MurphyResearch Scientist, GoogleVerified email at google.com
Kamal GuptaUniversity of Maryland, College ParkVerified email at cs.umd.edu
Xinlei ChenFAIR, MetaVerified email at fb.com
Rahul SukthankarGoogle ResearchVerified email at google.com
Ross GirshickResearch Scientist, Facebook AI Research (FAIR)Verified email at eecs.berkeley.edu
Ramalingam ChellappaBloomberg Distinguished Professor, Johns Hopkins UniversityVerified email at jhu.edu
Alexei A. EfrosUC BerkeleyVerified email at eecs.berkeley.edu
Sai Saketh RambhatlaUniversity of Maryland College ParkVerified email at umd.edu
Bo HeUniversity of Maryland, College ParkVerified email at umd.edu
Zuxuan WuFudan UniversityVerified email at fudan.edu.cn
Hao ChenPh.D. student of University of Maryland, College ParkVerified email at umd.edu
Alireza FathiGoogle ResearchVerified email at cs.stanford.edu

Abhinav Shrivastava

Assistant Professor, University of Maryland, College Park

Verified email at cs.umd.edu - Homepage

Computer Vision Machine Learning Robotics Computer Graphics Artificial Intelligence


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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	2238	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	2057	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	1107	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	605	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	347	2016
Tracking emerges by colorizing videos C Vondrick, A Shrivastava, A Fathi, S Guadarrama, K Murphy Proc. ECCV, 2018	337	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	177	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	79	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	46	2020

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