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20182022
most citedDeep Sequential Feature Learning in Clinical Image Classification of Infectious Keratitis

67 citations · 192 across the 21 of their papers we have counts for

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Showing 2020Show all

9 papers · 1 filter

cs.LG2020★ 10 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.CL2020★ 6 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.CL2020★ 9 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…

eess.IV2020★ 67 cited

Deep Sequential Feature Learning in Clinical Image Classification of Infectious Keratitis

Yesheng Xu, Ming Kong, Wenjia Xie +7

Infectious keratitis is the most common entities of corneal diseases, in which pathogen grows in the cornea leading to inflammation and destruction of the corneal tissues. Infectio…

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…

cs.CL2020★ 13 cited

Quda: Natural Language Queries for Visual Data Analytics

Siwei Fu, Kai Xiong, Xiaodong Ge +3

The identification of analytic tasks from free text is critical for visualization-oriented natural language interfaces (V-NLIs) to suggest effective visualizations. However, it is…

cs.CL2020★ 13 cited

Generating Natural Language Adversarial Examples on a Large Scale with Generative Models

Yankun Ren, Jianbin Lin, Siliang Tang +4

Today text classification models have been widely used. However, these classifiers are found to be easily fooled by adversarial examples. Fortunately, standard attacking methods ge…

cs.CV2020★ 2 cited

Grounded and Controllable Image Completion by Incorporating Lexical Semantics

Shengyu Zhang, Tan Jiang, Qinghao Huang +7

In this paper, we present an approach, namely Lexical Semantic Image Completion (LSIC), that may have potential applications in art, design, and heritage conservation, among severa…