activity
20182022
most citedWenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training

84 citations · 141 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CV2022

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…

cs.CV2021★ 84 cited

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…

cs.CV2020★ 10 cited

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.…

cs.CV2020★ 3 cited

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…

cs.CV2020★ 26 cited

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…

cs.CV2019

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…

cs.CV2019★ 5 cited

Unpaired Cross-lingual Image Caption Generation with Self-Supervised Rewards

Yuqing Song, Shizhe Chen, Yida Zhao +1

Generating image descriptions in different languages is essential to satisfy users worldwide. However, it is prohibitively expensive to collect large-scale paired image-caption dat…

cs.CV2019★ 9 cited

Activitynet 2019 Task 3: Exploring Contexts for Dense Captioning Events in Videos

Shizhe Chen, Yuqing Song, Yida Zhao +5

Contextual reasoning is essential to understand events in long untrimmed videos. In this work, we systematically explore different captioning models with various contexts for the d…

cs.CV2018★ 4 cited

RUC+CMU: System Report for Dense Captioning Events in Videos

Shizhe Chen, Yuqing Song, Yida Zhao +3

This notebook paper presents our system in the ActivityNet Dense Captioning in Video task (task 3). Temporal proposal generation and caption generation are both important to the de…