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20142023
most citedMining Fashion Outfit Composition Using An End-to-End Deep Learning Approach on Set Data

177 citations · 826 across the 39 of their papers we have counts for

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Showing 2019Show all

7 papers · 1 filter

cs.CV2019★ 1 cited

Progressive Learning Algorithm for Efficient Person Re-Identification

Zhen Li, Hanyang Shao, Nian Xue +2

This paper studies the problem of Person Re-Identification (ReID)for large-scale applications. Recent research efforts have been devoted to building complicated part models, which…

cs.CL2019★ 3 cited

Speech Sentiment Analysis via Pre-trained Features from End-to-end ASR Models

Zhiyun Lu, Liangliang Cao, Yu Zhang +2

In this paper, we propose to use pre-trained features from end-to-end ASR models to solve speech sentiment analysis as a down-stream task. We show that end-to-end ASR features, whi…

cs.CV2019★ 2 cited

Product Image Recognition with Guidance Learning and Noisy Supervision

Qing Li, Xiaojiang Peng, Liangliang Cao +3

This paper considers recognizing products from daily photos, which is an important problem in real-world applications but also challenging due to background clutters, category dive…

eess.IV2019★ 15 cited

Accurate and Robust Pulmonary Nodule Detection by 3D Feature Pyramid Network with Self-supervised Feature Learning

Jingya Liu, Liangliang Cao, Oguz Akin +1

Accurate detection of pulmonary nodules with high sensitivity and specificity is essential for automatic lung cancer diagnosis from CT scans. Although many deep learning-based algo…

eess.IV2019★ 1 cited

3DFPN-HS: 3D Feature Pyramid Network Based High Sensitivity and Specificity Pulmonary Nodule Detection

Jingya Liu, Liangliang Cao, Oguz Akin +1

Accurate detection of pulmonary nodules with high sensitivity and specificity is essential for automatic lung cancer diagnosis from CT scans. Although many deep learning-based algo…

cs.CV2019

Automatic adaptation of object detectors to new domains using self-training

Aruni RoyChowdhury, Prithvijit Chakrabarty, Ashish Singh +4

This work addresses the unsupervised adaptation of an existing object detector to a new target domain. We assume that a large number of unlabeled videos from this domain are readil…

cs.NI2019

Learning Deterministic Policy with Target for Power Control in Wireless Networks

Yujiao Lu, Hancheng Lu, Liangliang Cao +2

Inter-Cell Interference Coordination (ICIC) is a promising way to improve energy efficiency in wireless networks, especially where small base stations are densely deployed. However…