activity
20172020
most citedDeep Cross-Modal Correlation Learning for Audio and Lyrics in Music Retrieval

15 citations · 21 across the 4 of their papers we have counts for

collaborators

8 papers

cs.SD20203 cited

Automatic Neural Lyrics and Melody Composition

Gurunath Reddy Madhumani, Yi Yu, Florian Harscoët +2

In this paper, we propose a technique to address the most challenging aspect of algorithmic songwriting process, which enables the human community to discover original lyrics, and…

cs.IT2020

Performance Analysis of Millimeter Wave Wireless Power Transfer With Imperfect Beam Alignment

Man Wang, Chao Zhang, Xiaoming Chen +1

In this paper, the impact of imperfect beam alignment (IBA) on millimeter wave (mmWave) wireless power transfer (WPT) is investigated. We consider a mmWave WPT network, where the l…

cs.CV2019

Ensemble Super-Resolution with A Reference Dataset

Junjun Jiang, Yi Yu, Zheng Wang +3

By developing sophisticated image priors or designing deep(er) architectures, a variety of image Super-Resolution (SR) approaches have been proposed recently and achieved very prom…

cs.CV2018

Context-Patch Face Hallucination Based on Thresholding Locality-constrained Representation and Reproducing Learning

Junjun Jiang, Yi Yu, Suhua Tang +3

Face hallucination is a technique that reconstruct high-resolution (HR) faces from low-resolution (LR) faces, by using the prior knowledge learned from HR/LR face pairs. Most state…

cs.CV2018

Deep CNN Denoiser and Multi-layer Neighbor Component Embedding for Face Hallucination

Junjun Jiang, Yi Yu, Jinhui Hu +2

Most of the current face hallucination methods, whether they are shallow learning-based or deep learning-based, all try to learn a relationship model between Low-Resolution (LR) an…

cs.CV2018

Category-Based Deep CCA for Fine-Grained Venue Discovery from Multimodal Data

Yi Yu, Suhua Tang, Kiyoharu Aizawa +1

In this work, travel destination and business location are taken as venues. Discovering a venue by a photo is very important for context-aware applications. Unfortunately, few effo…