Abhinav Shrivastava

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Abhinav GuptaProfessor, Robotics Institute, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Larry DavisProfessor of Computer Science, University of MarylandVerified email at cs.umd.edu
Saurabh SinghResearch Scientist, GoogleVerified email at google.com
Sernam LimAssociate Professor, CS, University of Central FloridaVerified email at ucf.edu
Kamal GuptaUniversity of Maryland, College ParkVerified email at cs.umd.edu
Ishan MisraResearch Scientist, Facebook AI ResearchVerified email at fb.com
Chen SunAssistant Professor, Brown UniversityVerified email at brown.edu
Bo HeUniversity of Maryland, College ParkVerified email at umd.edu
Carl VondrickAssociate Professor, Columbia UniversityVerified email at columbia.edu
Sai Saketh RambhatlaPostdoctoral ResearcherVerified email at meta.com
martial hebertCMUVerified email at ri.cmu.edu
Kevin MurphyResearch Scientist, GoogleVerified email at google.com
Ramalingam ChellappaBloomberg Distinguished Professor, Johns Hopkins UniversityVerified email at jhu.edu
Hao ChenByteDanceVerified email at cs.umd.edu
Sharath GirishPhD student at University of Maryland, College ParkVerified email at umd.edu
Zuxuan WuFudan UniversityVerified email at fudan.edu.cn
Hanyu WangPhD student, University of Maryland - College ParkVerified email at umd.edu
Xinlei ChenFAIR, MetaVerified email at meta.com
Rahul SukthankarGoogle ResearchVerified email at google.com
Saksham SuriPhD CS, University of MarylandVerified email at cs.umd.edu

Abhinav Shrivastava

Associate Professor, University of Maryland, College Park

Verified email at cs.umd.edu - Homepage

Computer Vision Machine Learning Robotics


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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	3025	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	2940	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	1598	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	760	2017
NEIL: Extracting Visual Knowledge from Web Data X Chen, A Shrivastava, A Gupta International Conference on Computer Vision (ICCV) 2, 2013	599	2013
Tracking emerges by colorizing videos C Vondrick, A Shrivastava, A Fathi, S Guadarrama, K Murphy Proc. ECCV, 2018	470	2018
Beyond Skip Connections: Top-Down Modulation for Object Detection A Shrivastava, R Sukthankar, J Malik, A Gupta arXiv preprint arXiv:1612.06851, 2016	398	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	259	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	196	2021
Contextual Priming and Feedback for Faster R-CNN. A Shrivastava, A Gupta ECCV (1), 330-348, 2016	187	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	154	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
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	141	2021
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	124	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	120	2020
Generate, Segment and Refine: Towards Generic Manipulation Segmentation P Zhou, BC Chen, X Han, M Najibi, A Shrivastava, SN Lim, LS Davis	117*
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	114	2022
Quantization Guided JPEG Artifact Correction M Ehrlich, L Davis, SN Lim, A Shrivastava ECCV 2020, arXiv: 2004.09320, 2020	105	2020

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