3.7k citations · 13.3k across the 162 of their papers we have counts for
25 papers · 1 filter
BT-Nets: Simplifying Deep Neural Networks via Block Term Decomposition
Guangxi Li, Jinmian Ye, Haiqin Yang +3
Recently, deep neural networks (DNNs) have been regarded as the state-of-the-art classification methods in a wide range of applications, especially in image classification. Despite…
Weaving Multi-scale Context for Single Shot Detector
Yunpeng Chen, Jianshu Li, Bin Zhou +2
Aggregating context information from multiple scales has been proved to be effective for improving accuracy of Single Shot Detectors (SSDs) on object detection. However, existing m…
Nonconvex Sparse Spectral Clustering by Alternating Direction Method of Multipliers and Its Convergence Analysis
Canyi Lu, Jiashi Feng, Zhouchen Lin +1
Spectral Clustering (SC) is a widely used data clustering method which first learns a low-dimensional embedding of data by computing the eigenvectors of the normalized Laplacia…
Improving Object Detection from Scratch via Gated Feature Reuse
Zhiqiang Shen, Honghui Shi, Jiahui Yu +7
In this paper, we present a simple and parameter-efficient drop-in module for one-stage object detectors like SSD when learning from scratch (i.e., without pre-trained models). We…
Personalized and Occupational-aware Age Progression by Generative Adversarial Networks
Siyu Zhou, Weiqiang Zhao, Jiashi Feng +4
Face age progression, which aims to predict the future looks, is important for various applications and has been received considerable attentions. Existing methods and datasets are…
Integrated Face Analytics Networks through Cross-Dataset Hybrid Training
Jianshu Li, Shengtao Xiao, Fang Zhao +5
Face analytics benefits many multimedia applications. It consists of a number of tasks, such as facial emotion recognition and face parsing, and most existing approaches generally…