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20132023
most citedLearning Depth from Single Monocular Images Using Deep Convolutional Neural Fields

1.3k citations · 2.8k across the 97 of their papers we have counts for

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Showing 2019Show all

5 papers · 1 filter

cs.CV2019★ 10 cited

A Dilated Inception Network for Visual Saliency Prediction

Sheng Yang, Guosheng Lin, Qiuping Jiang +1

Recently, with the advent of deep convolutional neural networks (DCNN), the improvements in visual saliency prediction research are impressive. One possible direction to approach t…

cs.CV2019★ 42 cited

Video Object Segmentation and Tracking: A Survey

Rui Yao, Guosheng Lin, Shixiong Xia +2

Object segmentation and object tracking are fundamental research area in the computer vision community. These two topics are diffcult to handle some common challenges, such as occl…

cs.CV2019★ 6 cited

Towards Robust Curve Text Detection with Conditional Spatial Expansion

Zichuan Liu, Guosheng Lin, Sheng Yang +3

It is challenging to detect curve texts due to their irregular shapes and varying sizes. In this paper, we first investigate the deficiency of the existing curve detection methods…

cs.CV2019★ 45 cited

CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning

Chi Zhang, Guosheng Lin, Fayao Liu +2

Recent progress in semantic segmentation is driven by deep Convolutional Neural Networks and large-scale labeled image datasets. However, data labeling for pixel-wise segmentation…

cs.LG2019★ 58 cited

On Lightweight Privacy-Preserving Collaborative Learning for IoT Objects

Linshan Jiang, Rui Tan, Xin Lou +1

The Internet of Things (IoT) will be a main data generation infrastructure for achieving better system intelligence. This paper considers the design and implementation of a practic…