206 citations · 265 across the 8 of their papers we have counts for
8 papers
WanJuan: A Comprehensive Multimodal Dataset for Advancing English and Chinese Large Models
Conghui He, Zhenjiang Jin, Chao Xu +6
The rise in popularity of ChatGPT and GPT-4 has significantly accelerated the development of large models, leading to the creation of numerous impressive large language models(LLMs…
Multiscale Positive-Unlabeled Detection of AI-Generated Texts
Yuchuan Tian, Hanting Chen, Xutao Wang +5
Recent releases of Large Language Models (LLMs), e.g. ChatGPT, are astonishing at generating human-like texts, but they may impact the authenticity of texts. Previous works propose…
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-…
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…
DTVNet+: A High-Resolution Scenic Dataset for Dynamic Time-lapse Video Generation
Jiangning Zhang, Chao Xu, Yong Liu +1
This paper presents a novel end-to-end dynamic time-lapse video generation framework, named DTVNet, to generate diversified time-lapse videos from a single landscape image conditio…
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…
Dual Encoding for Zero-Example Video Retrieval
Jianfeng Dong, Xirong Li, Chaoxi Xu +4
This paper attacks the challenging problem of zero-example video retrieval. In such a retrieval paradigm, an end user searches for unlabeled videos by ad-hoc queries described in n…
COCO-CN for Cross-Lingual Image Tagging, Captioning and Retrieval
Xirong Li, Chaoxi Xu, Xiaoxu Wang +4
This paper contributes to cross-lingual image annotation and retrieval in terms of data and baseline methods. We propose COCO-CN, a novel dataset enriching MS-COCO with manually wr…