26 citations · 48 across the 6 of their papers we have counts for
9 papers
Progressive Learning for Image Retrieval with Hybrid-Modality Queries
Yida Zhao, Yuqing Song, Qin Jin
Image retrieval with hybrid-modality queries, also known as composing text and image for image retrieval (CTI-IR), is a retrieval task where the search intention is expressed in a…
WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training
Yuqi Huo, Manli Zhang, Guangzhen Liu +32
Multi-modal pre-training models have been intensively explored to bridge vision and language in recent years. However, most of them explicitly model the cross-modal interaction bet…
The End-of-End-to-End: A Video Understanding Pentathlon Challenge (2020)
Samuel Albanie, Yang Liu, Arsha Nagrani +18
We present a new video understanding pentathlon challenge, an open competition held in conjunction with the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020.…
Team RUC_AIM3 Technical Report at Activitynet 2020 Task 2: Exploring Sequential Events Detection for Dense Video Captioning
Yuqing Song, Shizhe Chen, Yida Zhao +1
Detecting meaningful events in an untrimmed video is essential for dense video captioning. In this work, we propose a novel and simple model for event sequence generation and explo…
Fine-grained Video-Text Retrieval with Hierarchical Graph Reasoning
Shizhe Chen, Yida Zhao, Qin Jin +1
Cross-modal retrieval between videos and texts has attracted growing attentions due to the rapid emergence of videos on the web. The current dominant approach for this problem is t…
Integrating Temporal and Spatial Attentions for VATEX Video Captioning Challenge 2019
Shizhe Chen, Yida Zhao, Yuqing Song +2
This notebook paper presents our model in the VATEX video captioning challenge. In order to capture multi-level aspects in the video, we propose to integrate both temporal and spat…