Zhongfei Zhang
Binghamton University
284 Papers
2.3K Citations
Zhongfei Zhang is an academic researcher from Binghamton University. The author has contributed to research in topics: Computer science & Image retrieval. The author has an hindex of 47, co-authored 280 publications. Previous affiliations of Zhongfei Zhang include University of Warwick & University at Buffalo.
Chat about Author
Papers
•Posted Content
Doubly Convolutional Neural Networks
TL;DR: This paper proposes doubly convolutional neural networks (DCNNs), which significantly improve the performance of CNNs by further exploring this idea and shows that DCNN can serve the dual purpose of building more accurate models and/or reducing the memory footprint without sacrificing the accuracy.
47
•Proceedings Article
Semantics-aware deep correspondence structure learning for robust person re-identification
Yaqing Zhang,Xi Li,Liming Zhao,Zhongfei Zhang +3 more
- 09 Jul 2016
TL;DR: A unified end-to-end deep learning scheme is set up to jointly optimize the processes of semantics-aware image representation learning and cross-person correspondence structure learning, leading to more reliable and robust person re-identification results in complicated scenarios.
45
SBAT: Video Captioning with Sparse Boundary-Aware Transformer
Tao Jin,Siyu Huang,Ming Chen,Yingming Li,Zhongfei Zhang +4 more
- 09 Jul 2020
TL;DR: Wang et al. as discussed by the authors proposed a sparse boundary-aware transformer (SBAT) to reduce the redundancy in video representation, which employs boundaryaware pooling operation for scores from multi-head attention and selects diverse features from different scenarios.
Geometric histogram: a distribution of geometric configurations of color subsets
TL;DR: In this paper, the concept of spatial distribution of a subset of colors, which is defined as the occurrence of different geometric configurations of the color set, is used to provide new clues for refining traditional color histogram.
43
•Posted Content
Dropout Training of Matrix Factorization and Autoencoder for Link Prediction in Sparse Graphs
Shuangfei Zhai,Zhongfei Zhang +1 more
TL;DR: In this article, the authors investigate both matrix factorization and autoencoder (AE) for link prediction in sparse graphs and propose MF+AE, a model that jointly trains MF and AE with shared parameters.