Search Results for author: Jesper Tegner

Found 7 papers, 5 papers with code

VLG-Net: Video-Language Graph Matching Network for Video Grounding

1 code implementation19 Nov 2020 Mattia Soldan, Mengmeng Xu, Sisi Qu, Jesper Tegner, Bernard Ghanem

Grounding language queries in videos aims at identifying the time interval (or moment) semantically relevant to a language query.

Graph Matching Moment Retrieval +3

Learning Heat Diffusion for Network Alignment

no code implementations10 Jul 2020 Sisi Qu, Mengmeng Xu, Bernard Ghanem, Jesper Tegner

EDNA uses the diffusion signal as a proxy for computing node similarities between networks.

Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model

1 code implementation16 Aug 2018 C. -H. Huck Yang, Fangyu Liu, Jia-Hong Huang, Meng Tian, Hiromasa Morikawa, I-Hung Lin, Yi-Chieh Liu, Hao-Hsiang Yang, Jesper Tegner

Automatic clinical diagnosis of retinal diseases has emerged as a promising approach to facilitate discovery in areas with limited access to specialists.

General Classification

A Novel Hybrid Machine Learning Model for Auto-Classification of Retinal Diseases

1 code implementation17 Jun 2018 C. -H. Huck Yang, Jia-Hong Huang, Fangyu Liu, Fang-Yi Chiu, Mengya Gao, Weifeng Lyu, I-Hung Lin M. D., Jesper Tegner

Automatic clinical diagnosis of retinal diseases has emerged as a promising approach to facilitate discovery in areas with limited access to specialists.

BIG-bench Machine Learning General Classification

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