84 citations · 262 across the 47 of their papers we have counts for
6 papers · 1 filter
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.…
2nd Place Solution to ECCV 2020 VIPriors Object Detection Challenge
Yinzheng Gu, Yihan Pan, Shizhe Chen
In this report, we descibe our approach to the ECCV 2020 VIPriors Object Detection Challenge which took place from March to July in 2020. We show that by using state-of-the-art dat…
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…
YouMakeup VQA Challenge: Towards Fine-grained Action Understanding in Domain-Specific Videos
Shizhe Chen, Weiying Wang, Ludan Ruan +2
The goal of the YouMakeup VQA Challenge 2020 is to provide a common benchmark for fine-grained action understanding in domain-specific videos e.g. makeup instructional videos. We p…
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…
Say As You Wish: Fine-grained Control of Image Caption Generation with Abstract Scene Graphs
Shizhe Chen, Qin Jin, Peng Wang +1
Humans are able to describe image contents with coarse to fine details as they wish. However, most image captioning models are intention-agnostic which can not generate diverse des…