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20162020
most citedInteractive Reinforcement Learning for Object Grounding via Self-Talking

9 citations · 15 across the 3 of their papers we have counts for

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6 papers · 1 filter

cs.CV2019

Automatic Health Problem Detection from Gait Videos Using Deep Neural Networks

Rahil Mehrizi, Xi Peng, Shaoting Zhang +2

The aim of this study is developing an automatic system for detection of gait-related health problems using Deep Neural Networks (DNNs). The proposed system takes a video of patien…

cs.CV2019

Attention-driven Tree-structured Convolutional LSTM for High Dimensional Data Understanding

Bin Kong, Xin Wang, Junjie Bai +7

Modeling the sequential information of image sequences has been a vital step of various vision tasks and convolutional long short-term memory (ConvLSTM) has demonstrated its superb…

cs.CV20186 cited

Residual Attention based Network for Hand Bone Age Assessment

Eric Wu, Bin Kong, Xin Wang +8

Computerized automatic methods have been employed to boost the productivity as well as objectiveness of hand bone age assessment. These approaches make predictions according to the…

cs.CV2018

Quantized Densely Connected U-Nets for Efficient Landmark Localization

Zhiqiang Tang, Xi Peng, Shijie Geng +3

In this paper, we propose quantized densely connected U-Nets for efficient visual landmark localization. The idea is that features of the same semantic meanings are globally reused…

cs.CV2018

CR-GAN: Learning Complete Representations for Multi-view Generation

Yu Tian, Xi Peng, Long Zhao +2

Generating multi-view images from a single-view input is an essential yet challenging problem. It has broad applications in vision, graphics, and robotics. Our study indicates that…

cs.CV2016

Visual Tracking via Reliable Memories

Shu Wang, Shaoting Zhang, Wei Liu +1

In this paper, we propose a novel visual tracking framework that intelligently discovers reliable patterns from a wide range of video to resist drift error for long-term tracking t…