67 citations · 193 across the 23 of their papers we have counts for
26 papers
Survey: Transformer based Video-Language Pre-training
Ludan Ruan, Qin Jin
Inspired by the success of transformer-based pre-training methods on natural language tasks and further computer vision tasks, researchers have begun to apply transformer to video…
Product-oriented Machine Translation with Cross-modal Cross-lingual Pre-training
Yuqing Song, Shizhe Chen, Qin Jin +3
Translating e-commercial product descriptions, a.k.a product-oriented machine translation (PMT), is essential to serve e-shoppers all over the world. However, due to the domain spe…
Question-controlled Text-aware Image Captioning
Anwen Hu, Shizhe Chen, Qin Jin
For an image with multiple scene texts, different people may be interested in different text information. Current text-aware image captioning models are not able to generate distin…
ICECAP: Information Concentrated Entity-aware Image Captioning
Anwen Hu, Shizhe Chen, Qin Jin
Most current image captioning systems focus on describing general image content, and lack background knowledge to deeply understand the image, such as exact named entities or concr…
MMGCN: Multimodal Fusion via Deep Graph Convolution Network for Emotion Recognition in Conversation
Jingwen Hu, Yuchen Liu, Jinming Zhao +1
Emotion recognition in conversation (ERC) is a crucial component in affective dialogue systems, which helps the system understand users' emotions and generate empathetic responses.…
Team RUC_AIM3 Technical Report at ActivityNet 2021: Entities Object Localization
Ludan Ruan, Jieting Chen, Yuqing Song +2
Entities Object Localization (EOL) aims to evaluate how grounded or faithful a description is, which consists of caption generation and object grounding. Previous works tackle this…