Abhinav Shrivastava

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Abhinav GuptaAssociate Professor, 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
Ishan MisraResearch Scientist, Facebook AI ResearchVerified email at fb.com
Chen SunAssistant Professor, Brown UniversityVerified email at brown.edu
Carl VondrickAssociate Professor, Columbia UniversityVerified email at columbia.edu
martial hebertCMUVerified email at ri.cmu.edu
Kamal GuptaUniversity of Maryland, College ParkVerified email at cs.umd.edu
Kevin MurphyResearch Scientist, GoogleVerified email at google.com
Xinlei ChenFAIR, MetaVerified email at fb.com
Ramalingam ChellappaBloomberg Distinguished Professor, Johns Hopkins UniversityVerified email at jhu.edu
Rahul SukthankarGoogle ResearchVerified email at google.com
Ross GirshickResearch Scientist, Facebook AI Research (FAIR)Verified email at eecs.berkeley.edu
Sai Saketh RambhatlaUniversity 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
Sharath GirishPhD student at University of Maryland, College ParkVerified email at umd.edu
Alexei A. EfrosUC BerkeleyVerified email at eecs.berkeley.edu
Max EhrlichNVIDIA, University of MarylandVerified email at nvidia.com

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 Proceedings of the IEEE conference on computer vision and pattern …, 2016	2583	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	2548	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	1370	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	689	2017
NEIL: Extracting Visual Knowledge from Web Data X Chen, A Shrivastava, A Gupta International Conference on Computer Vision (ICCV) 2, 2013	574	2013
Tracking emerges by colorizing videos C Vondrick, A Shrivastava, A Fathi, S Guadarrama, K Murphy Proc. ECCV, 2018	408	2018
Beyond Skip Connections: Top-Down Modulation for Object Detection A Shrivastava, R Sukthankar, J Malik, A Gupta arXiv preprint arXiv:1612.06851, 2016	376	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	321	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	215	2018
Contextual Priming and Feedback for Faster R-CNN. A Shrivastava, A Gupta ECCV (1), 330-348, 2016	178	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	145	2014
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	119	2012
Curriculum Manager for Source Selection in Multi-Source Domain Adaptation L Yang, Y Balaji, SN Lim, A Shrivastava ECCV 2020, 2020	105	2020
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	93	2021
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	92	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	85	2019
Generate, Segment and Refine: Towards Generic Manipulation Segmentation P Zhou, BC Chen, X Han, M Najibi, A Shrivastava, SN Lim, LS Davis	85*
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	83	2021
Quantization Guided JPEG Artifact Correction M Ehrlich, L Davis, SN Lim, A Shrivastava ECCV 2020, arXiv: 2004.09320, 2020	73	2020

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