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Computer Science

D-Index
35
Citations
9003
World Ranking
11460
National Ranking
4706

Overview

Abhinav Shrivastava is a researcher affiliated with the University of Maryland, College Park in the United States. Their work primarily spans the field of Computer Science, with a significant focus on subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Radiology, Nuclear Medicine and Imaging, and Computational Mechanics.

Their published research covers a wide range of topics, including:

  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Generative Adversarial Networks and Image Synthesis
  • Human Pose and Action Recognition
  • Advanced Neural Network Applications
  • Advanced Vision and Imaging
  • Advanced Image and Video Retrieval Techniques

Abhinav Shrivastava has contributed extensively to scholarly publications, with frequent appearances in various renowned venues. Notable publication venues include:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Lecture Notes in Computer Science

Some of their recent papers are:

  • "ObjectFormer for Image Manipulation Detection and Localization", 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Generate, Segment, and Refine: Towards Generic Manipulation Segmentation", 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localization", 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Rethinking Pseudo Labels for Semi-supervised Object Detection", 2022, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Deep Co-Training with Task Decomposition for Semi-Supervised Domain Adaptation", 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

In addition to journal and conference papers, Shrivastava has also contributed to book publications, including a title published by Springer Nature titled "Intelligent Systems" in 2021.

The researcher frequently collaborates with various scholars. Prominent coauthors include:

  • Ser-Nam Lim
  • Larry S. Davis
  • Saksham Suri
  • Matthew Gwilliam
  • Sai Saketh Rambhatla

Best Publications

  • Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

    Chen Sun;Abhinav Shrivastava;Saurabh Singh;Abhinav Gupta

  • Training Region-Based Object Detectors with Online Hard Example Mining

    Abhinav Shrivastava;Abhinav Gupta;Ross Girshick

  • Cross-Stitch Networks for Multi-task Learning

    Ishan Misra;Abhinav Shrivastava;Abhinav Gupta;Martial Hebert

  • A-Fast-RCNN: Hard Positive Generation via Adversary for Object Detection

    Xiaolong Wang;Abhinav Shrivastava;Abhinav Gupta

  • NEIL: Extracting Visual Knowledge from Web Data

    Xinlei Chen;Abhinav Shrivastava;Abhinav Gupta

  • Beyond Skip Connections: Top-Down Modulation for Object Detection

    Abhinav Shrivastava;Rahul Sukthankar;Jitendra Malik;Abhinav Gupta

  • Tracking Emerges by Colorizing Videos

    Carl Martin Vondrick;Abhinav Shrivastava;Alireza Fathi;Sergio Guadarrama

  • Training Region-based Object Detectors with Online Hard Example Mining

    Abhinav Shrivastava;Abhinav Gupta;Ross Girshick

  • Data-driven visual similarity for cross-domain image matching

    Abhinav Shrivastava;Tomasz Malisiewicz;Abhinav Gupta;Alexei A. Efros

  • Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

    Chen Sun;Abhinav Shrivastava;Saurabh Singh;Abhinav Gupta

  • Actor-Centric Relation Network

    Chen Sun;Abhinav Shrivastava;Carl Martin Vondrick;Kevin Murphy

  • Contextual Priming and Feedback for Faster R-CNN

    Abhinav Shrivastava;Abhinav Gupta

  • ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localization

    Unknown

  • Cross-stitch Networks for Multi-task Learning

    Ishan Misra;Abhinav Shrivastava;Abhinav Gupta;Martial Hebert

  • Enriching Visual Knowledge Bases via Object Discovery and Segmentation

    Xinlei Chen;Abhinav Shrivastava;Abhinav Gupta

  • Watch and learn: Semi-supervised learning of object detectors from videos

    Ishan Misra;Abhinav Shrivastava;Martial Hebert

  • Generate, Segment, and Refine: Towards Generic Manipulation Segmentation

    Peng Zhou;Bor-Chun Chen;Xintong Han;Mahyar Najibi

  • Constrained semi-supervised learning using attributes and comparative attributes

    Abhinav Shrivastava;Saurabh Singh;Abhinav Gupta

  • Detecting Human-Object Interactions via Functional Generalization

    Ankan Bansal;Sai Saketh Rambhatla;Abhinav Shrivastava;Rama Chellappa

  • Curriculum Manager for Source Selection in Multi-source Domain Adaptation

    Luyu Yang;Yogesh Balaji;Ser-Nam Lim;Abhinav Shrivastava

  • Relational Action Forecasting

    Chen Sun;Abhinav Shrivastava;Carl Vondrick;Rahul Sukthankar

  • LayoutTransformer: Layout generation and completion with self-attention

    Kamal Gupta;Justin Lazarow;Alessandro Achille;Larry S. Davis

  • Disentangling Visual Embeddings for Attributes and Objects

    Unknown

  • HNeRV: A Hybrid Neural Representation for Videos

    Unknown

  • Quantization Guided JPEG Artifact Correction

    Max Ehrlich;Larry Davis;Ser-Nam Lim;Abhinav Shrivastava

  • Learning to Predict Visual Attributes in the Wild

    Khoi Pham;Kushal Kafle;Zhe Lin;Zhihong Ding

Frequent Co-Authors

Larry S. Davis
Larry S. Davis University of Maryland, College Park
Abhinav Gupta
Abhinav Gupta Carnegie Mellon University
Carl Vondrick
Carl Vondrick Columbia University
Rama Chellappa
Rama Chellappa Johns Hopkins University
Matthias Zwicker
Matthias Zwicker University of Maryland, College Park
Chen Sun
Chen Sun Google (United States)
Ishan Misra
Ishan Misra Facebook (United States)
Martial Hebert
Martial Hebert Carnegie Mellon University
Rahul Sukthankar
Rahul Sukthankar Google (United States)
Zuxuan Wu
Zuxuan Wu Fudan University

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