Larry S. Davis
Affiliations: | Computer Science | University of Maryland, College Park, College Park, MD |
Area:
Artificial Intelligence,Computer VisionGoogle:
"Larry Davis"Parents
Sign in to add mentorAzriel Rosenfeld | grad student | 1976 | University of Maryland | |
(Shape Representation and Matching) |
Children
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Publications
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Wu Z, Weng Z, Peng W, et al. (2024) Building an Open-Vocabulary Video CLIP Model With Better Architectures, Optimization and Data. Ieee Transactions On Pattern Analysis and Machine Intelligence |
Santhanam V, Davis LS. (2019) A Generic Improvement to Deep Residual Networks Based on Gradient Flow. Ieee Transactions On Neural Networks and Learning Systems |
Porikli F, Davis LS, Wang Q, et al. (2019) Introduction to the Special Section on Deep Learning for Visual Surveillance Ieee Transactions On Circuits and Systems For Video Technology. 29: 2535-2537 |
Schwartz WR, Davis LS. (2018) Preface of Special Issue on Data Representation and Representation Learning for Video Analysis Pattern Recognition Letters. 114: 1 |
He R, Tan T, Davis L, et al. (2018) Learning structured ordinal measures for video based face recognition Pattern Recognition. 75: 4-14 |
Guan N, Liu T, Zhang Y, et al. (2017) Truncated Cauchy Non-negative Matrix Factorization for Robust Subspace Learning. Ieee Transactions On Pattern Analysis and Machine Intelligence |
Su C, Yang F, Zhang S, et al. (2017) Multi-Task Learning with Low Rank Attribute Embedding for Multi-Camera Person Re-identification. Ieee Transactions On Pattern Analysis and Machine Intelligence |
Han X, Singh B, Morariu VI, et al. (2017) VRFP: On-the-Fly Video Retrieval Using Web Images and Fast Fisher Vector Products Ieee Transactions On Multimedia. 19: 1583-1595 |
Zhang G, Liu J, Li H, et al. (2017) Joint Human Detection and Head Pose Estimation via Multistream Networks for RGB-D Videos Ieee Signal Processing Letters. 24: 1666-1670 |
Su C, Zhang S, Yang F, et al. (2017) Attributes driven tracklet-to-tracklet person re-identification using latent prototypes space mapping Pattern Recognition. 66: 4-15 |