activity
20172020
most citedCANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning

45 citations · 94 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV20201 cited

Vehicle Re-Identification Based on Complementary Features

Cunyuan Gao, Yi Hu, Yi Zhang +3

In this work, we present our solution to the vehicle re-identification (vehicle Re-ID) track in AI City Challenge 2020 (AIC2020). The purpose of vehicle Re-ID is to retrieve the sa…

cs.CV201942 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.CV201945 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.CV20171 cited

Efficient Eye Typing with 9-direction Gaze Estimation

Chi Zhang, Rui Yao, Jinpeng Cai

Vision based text entry systems aim to help disabled people achieve text communication using eye movement. Most previous methods have employed an existing eye tracker to predict ga…

cs.CV20175 cited

Efficient Dense Labeling of Human Activity Sequences from Wearables using Fully Convolutional Networks

Rui Yao, Guosheng Lin, Qinfeng Shi +1

Recognizing human activities in a sequence is a challenging area of research in ubiquitous computing. Most approaches use a fixed size sliding window over consecutive samples to ex…