activity
20182021
most citedMSCFNet: A Lightweight Network With Multi-Scale Context Fusion for Real-Time Semantic Segmentation

9 citations · 18 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2021★ 9 cited

MSCFNet: A Lightweight Network With Multi-Scale Context Fusion for Real-Time Semantic Segmentation

Guangwei Gao, Guoan Xu, Yi Yu +3

In recent years, how to strike a good trade-off between accuracy and inference speed has become the core issue for real-time semantic segmentation applications, which plays a vital…

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.AI2018★ 2 cited

Deep Knowledge Tracing and Dynamic Student Classification for Knowledge Tracing

Sein Minn, Yi Yu, Michel C. Desmarais +2

In Intelligent Tutoring System (ITS), tracing the student's knowledge state during learning has been studied for several decades in order to provide more supportive learning instru…

cs.CV2018★ 2 cited

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★ 5 cited

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…