Abhinav Shrivastava

Associate Professor

University of Maryland

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Shrivastava’s research focuses on artificial intelligence—particularly as it relates to computer vision, machine learning, and robotics.

Papers41 papers

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Generate, Segment and Refine: Towards Generic Manipulation Segmentation

Peng Zhou,Bor-Chun Chen,Xintong Han,Mahyar Najibi,Abhinav Shrivastava,Ser-Nam Lim,Larry Davis

AAAI, pp.13058-13065, (2020)

Cited by4EIBibtex

GTA: Global Temporal Attention for Video Action Understanding

Bo He,Xitong Yang,Zuxuan Wu, Hao Chen,Ser-Nam Lim,Abhinav Shrivastava

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The Lottery Ticket Hypothesis for Object Recognition

Sharath Girish, Shishira R. Maiya,Kamal Gupta, Hao Chen,Larry Davis,Abhinav Shrivastava

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Analyzing and Mitigating Compression Defects in Deep Learning

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

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Improved Modeling of 3D Shapes with Multi-view Depth Maps

Kamal Gupta, Susmija Jabbireddy, Ketul Shah,Abhinav Shrivastava,Matthias Zwicker

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All About Knowledge Graphs for Actions

Pallabi Ghosh, Nirat Saini,Larry S. Davis,Abhinav Shrivastava

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MiCo: Mixup Co-Training for Semi-Supervised Domain Adaptation

Luyu Yang, Yan Wang, Mingfei Gao,Abhinav Shrivastava,Kilian Q. Weinberger, Wei-Lun Chao,Ser-Nam Lim

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End-to-end Learning of Compressible Features

Saurabh Singh,Sami Abu-El-Haija, Nick Johnston,Johannes Ballé,Abhinav Shrivastava,George Toderici

ICIP, pp.3349-3353, (2020)

Cited by1EIBibtex

A Generic Visualization Approach for Convolutional Neural Networks

Ahmed Taha,Xitong Yang,Abhinav Shrivastava, Larry Davis

european conference on computer vision, pp.734-750, (2020)

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Quantization Guided JPEG Artifact Correction

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

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Curriculum Manager for Source Selection in Multi-Source Domain Adaptation

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

european conference on computer vision, pp.608-624, (2020)

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Layout Generation and Completion with Self-attention

Kamal Gupta,Alessandro Achille,Justin Lazarow, Larry Davis, Vijay Mahadevan,Abhinav Shrivastava

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Boosting Standard Classification Architectures Through a Ranking Regularizer

Ahmed Taha,Yi-Ting Chen, Teruhisa Misu,Abhinav Shrivastava,Larry Davis

WACV, pp.747-755, (2020)

Cited by2EIBibtex

PatchVAE: Learning Local Latent Codes for Recognition

Gupta Kamal,Singh Saurabh,Shrivastava Abhinav

CVPR, pp.4745-4754, (2020)

EIBibtex

Deep Depth Prior for Multi-View Stereo

Ghosh Pallabi,Vineet Vibhav,Davis Larry S.,Shrivastava Abhinav,Sinha Sudipta, Joshi Neel

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2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition

Hengduo Li,Zuxuan Wu,Abhinav Shrivastava,Larry S. Davis

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Scalable Model Compression by Entropy Penalized Reparameterization

Deniz Oktay,Johannes Ballé,Abhinav Shrivastava, Saurabh Singh

ICLR, (2020)

EIBibtex

EvalNorm - Estimating Batch Normalization Statistics for Evaluation

Saurabh Singh,Abhinav Shrivastava

ICCV, pp.3632-3640, (2019)

Cited by9EIBibtex

Unsupervised Data Uncertainty Learning in Visual Retrieval Systems

Ahmed Taha,Yi-Ting Chen, Teruhisa Misu,Abhinav Shrivastava,Larry Davis

arXiv: Computer Vision and Pattern Recognition, (2019)

Cited by1EIBibtex

Relational Action Forecasting

Chen Sun,Abhinav Shrivastava,Carl Vondrick,Rahul Sukthankar,Kevin Murphy,Cordelia Schmid

CVPR, (2019)

Cited by16EIBibtex

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