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20182026
most citedEssential Tensor Learning for Multi-view Spectral Clustering

360 citations · 645 across the 47 of their papers we have counts for

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Showing 2023Show all

6 papers · 1 filter

cs.CV2023

Detecting and Grounding Multi-Modal Media Manipulation and Beyond

Rui Shao, Tianxing Wu, Jianlong Wu +2

Misinformation has become a pressing issue. Fake media, in both visual and textual forms, is widespread on the web. While various deepfake detection and text fake news detection me…

cs.CV2023★ 5 cited

Temporal Sentence Grounding in Streaming Videos

Tian Gan, Xiao Wang, Yan Sun +3

This paper aims to tackle a novel task - Temporal Sentence Grounding in Streaming Videos (TSGSV). The goal of TSGSV is to evaluate the relevance between a video stream and a given…

cs.LG2023

Neural Collapse Terminus: A Unified Solution for Class Incremental Learning and Its Variants

Yibo Yang, Haobo Yuan, Xiangtai Li +6

How to enable learnability for new classes while keeping the capability well on old classes has been a crucial challenge for class incremental learning. Beyond the normal case, lon…

cs.MM2023★ 28 cited

Self-Training Boosted Multi-Factor Matching Network for Composed Image Retrieval

Haokun Wen, Xuemeng Song, Jianhua Yin +3

The composed image retrieval (CIR) task aims to retrieve the desired target image for a given multimodal query, i.e., a reference image with its corresponding modification text. Th…

cs.IR2023★ 3 cited

OFAR: A Multimodal Evidence Retrieval Framework for Illegal Live-streaming Identification

Lin Dengtian, Ma Yang, Li Yuhong +3

Illegal live-streaming identification, which aims to help live-streaming platforms immediately recognize the illegal behaviors in the live-streaming, such as selling precious and e…

cs.MM2023★ 8 cited

Micro-video Tagging via Jointly Modeling Social Influence and Tag Relation

Xiao Wang, Tian Gan, Yinwei Wei +3

The last decade has witnessed the proliferation of micro-videos on various user-generated content platforms. According to our statistics, around 85.7\% of micro-videos lack annotat…