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20172020
most citedSEP-Nets: Small and Effective Pattern Networks

14 citations · 23 across the 4 of their papers we have counts for

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5 papers · 1 filter

cs.CV20205 cited

Robust Partial Matching for Person Search in the Wild

Yingji Zhong, Xiaoyu Wang, Shiliang Zhang

Various factors like occlusions, backgrounds, etc., would lead to misaligned detected bounding boxes , e.g., ones covering only portions of human body. This issue is common but ove…

cs.CV20193 cited

Progressive Learning of Low-Precision Networks

Zhengguang Zhou, Wengang Zhou, Xutao Lv +3

Recent years have witnessed the great advance of deep learning in a variety of vision tasks. Many state-of-the-art deep neural networks suffer from large size and high complexity,…

cs.CV2018

Deep Regionlets: Blended Representation and Deep Learning for Generic Object Detection

Hongyu Xu, Xutao Lv, Xiaoyu Wang +3

In this paper, we propose a novel object detection algorithm named "Deep Regionlets" by integrating deep neural networks and a conventional detection schema for accurate generic ob…

cs.CV20181 cited

RED-Net: A Recurrent Encoder-Decoder Network for Video-based Face Alignment

Xi Peng, Rogerio S. Feris, Xiaoyu Wang +1

We propose a novel method for real-time face alignment in videos based on a recurrent encoder-decoder network model. Our proposed model predicts 2D facial point heat maps regulariz…

cs.CV201714 cited

SEP-Nets: Small and Effective Pattern Networks

Zhe Li, Xiaoyu Wang, Xutao Lv +1

While going deeper has been witnessed to improve the performance of convolutional neural networks (CNN), going smaller for CNN has received increasing attention recently due to its…