352 citations · 690 across the 42 of their papers we have counts for
9 papers · 1 filter
Music Grounding by Short Video
Zijie Xin, Minquan Wang, Jingyu Liu +4
Adding proper background music helps complete a short video to be shared. Previous work tackles the task by video-to-music retrieval (V2MR), aiming to find the most suitable music…
ASR-enhanced Multimodal Representation Learning for Cross-Domain Product Retrieval
Ruixiang Zhao, Jian Jia, Yan Li +5
E-commerce is increasingly multimedia-enriched, with products exhibited in a broad-domain manner as images, short videos, or live stream promotions. A unified and vectorized cross-…
CLIPRerank: An Extremely Simple Method for Improving Ad-hoc Video Search
Aozhu Chen, Fangming Zhou, Ziyuan Wang +1
Ad-hoc Video Search (AVS) enables users to search for unlabeled video content using on-the-fly textual queries. Current deep learning-based models for AVS are trained to optimize h…
ChinaOpen: A Dataset for Open-world Multimodal Learning
Aozhu Chen, Ziyuan Wang, Chengbo Dong +5
This paper introduces ChinaOpen, a dataset sourced from Bilibili, a popular Chinese video-sharing website, for open-world multimodal learning. While the state-of-the-art multimodal…
Learn to Understand Negation in Video Retrieval
Ziyue Wang, Aozhu Chen, Fan Hu +1
Negation is a common linguistic skill that allows human to express what we do NOT want. Naturally, one might expect video retrieval to support natural-language queries with negatio…
Towards Making a Trojan-horse Attack on Text-to-Image Retrieval
Fan Hu, Aozhu Chen, Xirong Li
While deep learning based image retrieval is reported to be vulnerable to adversarial attacks, existing works are mainly on image-to-image retrieval with their attacks performed at…
Lightweight Attentional Feature Fusion: A New Baseline for Text-to-Video Retrieval
Fan Hu, Aozhu Chen, Ziyue Wang +3
In this paper we revisit feature fusion, an old-fashioned topic, in the new context of text-to-video retrieval. Different from previous research that considers feature fusion only…
What Matters for Ad-hoc Video Search? A Large-scale Evaluation on TRECVID
Aozhu Chen, Fan Hu, Zihan Wang +2
For quantifying progress in Ad-hoc Video Search (AVS), the annual TRECVID AVS task is an important international evaluation. Solutions submitted by the task participants vary in te…
Improving Fake News Detection by Using an Entity-enhanced Framework to Fuse Diverse Multimodal Clues
Peng Qi, Juan Cao, Xirong Li +7
Recently, fake news with text and images have achieved more effective diffusion than text-only fake news, raising a severe issue of multimodal fake news detection. Current studies…