1.3k citations · 2.6k across the 51 of their papers we have counts for
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Deep Regression Forests for Age Estimation
Wei Shen, Yilu Guo, Yan Wang +3
Age estimation from facial images is typically cast as a nonlinear regression problem. The main challenge of this problem is the facial feature space w.r.t. ages is heterogeneous,…
Single-Shot Object Detection with Enriched Semantics
Zhishuai Zhang, Siyuan Qiao, Cihang Xie +3
We propose a novel single shot object detection network named Detection with Enriched Semantics (DES). Our motivation is to enrich the semantics of object detection features within…
Gradually Updated Neural Networks for Large-Scale Image Recognition
Siyuan Qiao, Zhishuai Zhang, Wei Shen +2
Depth is one of the keys that make neural networks succeed in the task of large-scale image recognition. The state-of-the-art network architectures usually increase the depths by c…
Few-Shot Image Recognition by Predicting Parameters from Activations
Siyuan Qiao, Chenxi Liu, Wei Shen +1
In this paper, we are interested in the few-shot learning problem. In particular, we focus on a challenging scenario where the number of categories is large and the number of examp…
ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond
Siyuan Qiao, Wei Shen, Weichao Qiu +2
Motivated by product detection in supermarkets, this paper studies the problem of object proposal generation in supermarket images and other natural images. We argue that estimatio…
Multi-stage Multi-recursive-input Fully Convolutional Networks for Neuronal Boundary Detection
Wei Shen, Bin Wang, Yuan Jiang +2
In the field of connectomics, neuroscientists seek to identify cortical connectivity comprehensively. Neuronal boundary detection from the Electron Microscopy (EM) images is often…