11 citations · 19 across the 6 of their papers we have counts for
6 papers
UniQ: Unified Decoder with Task-specific Queries for Efficient Scene Graph Generation
Xinyao Liao, Wei Wei, Dangyang Chen +1
Scene Graph Generation(SGG) is a scene understanding task that aims at identifying object entities and reasoning their relationships within a given image. In contrast to prevailing…
Detection-based Intermediate Supervision for Visual Question Answering
Yuhang Liu, Daowan Peng, Wei Wei +3
Recently, neural module networks (NMNs) have yielded ongoing success in answering compositional visual questions, especially those involving multi-hop visual and logical reasoning.…
An Empirical Study on the Language Modal in Visual Question Answering
Daowan Peng, Wei Wei, Xian-Ling Mao +2
Generalization beyond in-domain experience to out-of-distribution data is of paramount significance in the AI domain. Of late, state-of-the-art Visual Question Answering (VQA) mode…
STAGE: Span Tagging and Greedy Inference Scheme for Aspect Sentiment Triplet Extraction
Shuo Liang, Wei Wei, Xian-Ling Mao +3
Aspect Sentiment Triplet Extraction (ASTE) has become an emerging task in sentiment analysis research, aiming to extract triplets of the aspect term, its corresponding opinion term…
End-to-end speaker diarization with transformer
Yongquan Lai, Xin Tang, Yuanyuan Fu +1
Speaker diarization is connected to semantic segmentation in computer vision. Inspired from MaskFormer \cite{cheng2021per} which treats semantic segmentation as a set-prediction pr…
Visual-Semantic Transformer for Scene Text Recognition
Xin Tang, Yongquan Lai, Ying Liu +2
Modeling semantic information is helpful for scene text recognition. In this work, we propose to model semantic and visual information jointly with a Visual-Semantic Transformer (V…