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20142022
most citedDeep Text Classification Can be Fooled

400 citations · 2.1k across the 33 of their papers we have counts for

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Showing 2020Show all

6 papers · 1 filter

cs.CV2020

Towards Annotation-Free Evaluation of Cross-Lingual Image Captioning

Aozhu Chen, Xinyi Huang, Hailan Lin +1

Cross-lingual image captioning, with its ability to caption an unlabeled image in a target language other than English, is an emerging topic in the multimedia field. In order to sa…

cs.CV2020★ 3 cited

Learning Two-Stream CNN for Multi-Modal Age-related Macular Degeneration Categorization

Weisen Wang, Xirong Li, Zhiyan Xu +4

This paper tackles automated categorization of Age-related Macular Degeneration (AMD), a common macular disease among people over 50. Previous research efforts mainly focus on AMD…

cs.CV2020

SEA: Sentence Encoder Assembly for Video Retrieval by Textual Queries

Xirong Li, Fangming Zhou, Chaoxi Xu +2

Retrieving unlabeled videos by textual queries, known as Ad-hoc Video Search (AVS), is a core theme in multimedia data management and retrieval. The success of AVS counts on cross-…

cs.CV2020★ 206 cited

Dual Encoding for Video Retrieval by Text

Jianfeng Dong, Xirong Li, Chaoxi Xu +4

This paper attacks the challenging problem of video retrieval by text. In such a retrieval paradigm, an end user searches for unlabeled videos by ad-hoc queries described exclusive…

cs.CV2020★ 17 cited

Feature Re-Learning with Data Augmentation for Video Relevance Prediction

Jianfeng Dong, Xun Wang, Leimin Zhang +3

Predicting the relevance between two given videos with respect to their visual content is a key component for content-based video recommendation and retrieval. Thanks to the increa…

cs.HC2020★ 2 cited

iCap: Interactive Image Captioning with Predictive Text

Zhengxiong Jia, Xirong Li

In this paper we study a brand new topic of interactive image captioning with human in the loop. Different from automated image captioning where a given test image is the sole inpu…