activity
20182022
most citedRun Away From your Teacher: Understanding BYOL by a Novel Self-Supervised Approach

10 citations · 38 across the 12 of their papers we have counts for

collaborators

18 papers

cs.LG20227 cited

RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning

Yun Zhu, Jianhao Guo, Fei Wu +1

Graph contrastive learning has gained significant progress recently. However, existing works have rarely explored non-aligned node-node contrasting. In this paper, we propose a nov…

cs.LG202010 cited

Run Away From your Teacher: Understanding BYOL by a Novel Self-Supervised Approach

Haizhou Shi, Dongliang Luo, Siliang Tang +2

Recently, a newly proposed self-supervised framework Bootstrap Your Own Latent (BYOL) seriously challenges the necessity of negative samples in contrastive learning frameworks. BYO…

cs.CV2020

MGD-GAN: Text-to-Pedestrian generation through Multi-Grained Discrimination

Shengyu Zhang, Donghui Wang, Zhou Zhao +3

In this paper, we investigate the problem of text-to-pedestrian synthesis, which has many potential applications in art, design, and video surveillance. Existing methods for text-t…

cs.CL20206 cited

Two Step Joint Model for Drug Drug Interaction Extraction

Siliang Tang, Qi Zhang, Tianpeng Zheng +7

When patients need to take medicine, particularly taking more than one kind of drug simultaneously, they should be alarmed that there possibly exists drug-drug interaction. Interac…

cs.CL20209 cited

Topic Adaptation and Prototype Encoding for Few-Shot Visual Storytelling

Jiacheng Li, Siliang Tang, Juncheng Li +4

Visual Storytelling~(VIST) is a task to tell a narrative story about a certain topic according to the given photo stream. The existing studies focus on designing complex models, wh…

cs.CV2020

NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results

Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte +87

This paper reviews the NTIRE 2020 challenge on real image denoising with focus on the newly introduced dataset, the proposed methods and their results. The challenge is a new versi…