Larry S. Davis

Professor

Department of Computer Science, University of Maryland

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USA-2012
For contributions to image processing and computer vision.

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Research Areas:
AI and Robotics, Computer Vision and Machine Perception
Interest Areas:
computer vision, artificial intelligence, high performance computing

Papers973 papers

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Deep Depth Prior for Multi-View Stereo

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

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Responsible Disclosure of Generative Models Using Scalable Fingerprinting

Ning Yu, Vladislav Skripniuk, Dingfan Chen,Larry Davis,Mario Fritz

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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

Deepstrip: High-Resolution Boundary Refinement

Peng Zhou,Brian Price,Scott Cohen,Gregg Wilensky,Larry S. Davis

CVPR, pp.10555-10564, (2020)

EIBibtex

Stacked Spatio-Temporal Graph Convolutional Networks for Action Segmentation

Pallabi Ghosh, Yi Yao,Larry S. Davis, Ajay Divakaran

WACV, pp.565-574, (2020)

EIBibtex

Quantization Guided JPEG Artifact Correction

Max Ehrlich,Ser-Nam Lim,Larry Davis,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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InfoFocus: 3D Object Detection for Autonomous Driving with Dynamic Information Modeling

Jun Wang, Shiyi Lan, Mingfei Gao,Larry S. Davis

european conference on computer vision, pp.405-420, (2020)

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All About Knowledge Graphs for Actions

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

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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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A Dynamic Frame Selection Framework for Fast Video Recognition

Zuxuan Wu,Hengduo Li,Caiming Xiong,Yu-Gang Jiang,Larry Steven Davis

IEEE transactions on pattern analysis and machine intelligence, (2020): 1-1

WOSBibtex

Inclusive GAN: Improving Data and Minority Coverage in Generative Models

Yu Ning,Li Ke,Zhou Peng,Malik Jitendra,Davis Larry,Fritz Mario

european conference on computer vision, pp.377-393, (2020)

Cited by1Bibtex

DOPS: Learning to Detect 3D Objects and Predict their 3D Shapes

Najibi Mahyar,Lai Guangda,Kundu Abhijit,Lu Zhichao,Rathod Vivek,Funkhouser Thomas,Pantofaru Caroline,Ross David,Davis Larry S.,Fathi Alireza

CVPR, pp.11910-11919, (2020)

Cited by2EIBibtex

Analyzing and Mitigating Compression Defects in Deep Learning

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

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SaccadeNet: A Fast and Accurate Object Detector

Lan Shiyi,Ren Zhou,Wu Yi,Davis Larry S.,Hua Gang

CVPR, pp.10394-10403, (2020)

EIBibtex

SLADE: A Self-Training Framework For Distance Metric Learning

Jiali Duan,Yen-Liang Lin,Son Tran,Larry Davis,C. -C. Jay Kuo

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Recognizing Instagram Filtered Images with Feature De-stylization

Zhe Wu,Zuxuan Wu, Bharat Singh,Larry Davis

AAAI, pp.12418-12425, (2020)

EIBibtex

DeepStrip: High Resolution Boundary Refinement

Zhou Peng,Price Brian,Cohen Scott,Wilensky Gregg,Davis Larry S.

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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

Making an Invisibility Cloak: Real World Adversarial Attacks on Object Detectors

Wu Zuxuan,Lim Ser-Nam,Davis Larry,Goldstein Tom

european conference on computer vision, pp.1-17, (2019)

Cited by15Bibtex

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