12 citations · 23 across the 9 of their papers we have counts for
10 papers
Beyond Coarse-Grained Matching in Video-Text Retrieval
Aozhu Chen, Hazel Doughty, Xirong Li +1
Video-text retrieval has seen significant advancements, yet the ability of models to discern subtle differences in captions still requires verification. In this paper, we introduce…
D&M: Enriching E-commerce Videos with Sound Effects by Key Moment Detection and SFX Matching
Jingyu Liu, Minquan Wang, Ye Ma +5
Videos showcasing specific products are increasingly important for E-commerce. Key moments naturally exist as the first appearance of a specific product, presentation of its distin…
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…
Renmin University of China at TRECVID 2022: Improving Video Search by Feature Fusion and Negation Understanding
Xirong Li, Aozhu Chen, Ziyue Wang +4
We summarize our TRECVID 2022 Ad-hoc Video Search (AVS) experiments. Our solution is built with two new techniques, namely Lightweight Attentional Feature Fusion (LAFF) for combini…
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…
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…