3 citations · 4 across the 4 of their papers we have counts for
4 papers
Semantic Segmentation on VSPW Dataset through Contrastive Loss and Multi-dataset Training Approach
Min Yan, Qianxiong Ning, Qian Wang
Video scene parsing incorporates temporal information, which can enhance the consistency and accuracy of predictions compared to image scene parsing. The added temporal dimension e…
Adapting Knowledge for Few-shot Table-to-Text Generation
Zhixin Guo, Minyxuan Yan, Jiexing Qi +4
Pretrained language models (PLMs) have made remarkable progress in table-to-text generation tasks. However, the lack of domain-specific knowledge makes it challenging to bridge the…
Few-Shot Table-to-Text Generation with Prompt Planning and Knowledge Memorization
Zhixin Guo, Minyxuan Yan, Jiexing Qi +5
Pre-trained language models (PLM) have achieved remarkable advancement in table-to-text generation tasks. However, the lack of labeled domain-specific knowledge and the topology ga…
Nondiscriminatory Treatment: a straightforward framework for multi-human parsing
Min Yan, Guoshan Zhang, Tong Zhang +1
Multi-human parsing aims to segment every body part of every human instance. Nearly all state-of-the-art methods follow the "detection first" or "segmentation first" pipelines. Dif…