40 citations · 45 across the 7 of their papers we have counts for
7 papers
Tell2Design: A Dataset for Language-Guided Floor Plan Generation
Sicong Leng, Yang Zhou, Mohammed Haroon Dupty +3
We consider the task of generating designs directly from natural language descriptions, and consider floor plan generation as the initial research area. Language conditional genera…
UMMAFormer: A Universal Multimodal-adaptive Transformer Framework for Temporal Forgery Localization
Rui Zhang, Hongxia Wang, Mingshan Du +3
The emergence of artificial intelligence-generated content (AIGC) has raised concerns about the authenticity of multimedia content in various fields. However, existing research for…
Zero-shot Nuclei Detection via Visual-Language Pre-trained Models
Yongjian Wu, Yang Zhou, Jiya Saiyin +5
Large-scale visual-language pre-trained models (VLPM) have proven their excellent performance in downstream object detection for natural scenes. However, zero-shot nuclei detection…
FLamE: Few-shot Learning from Natural Language Explanations
Yangqiaoyu Zhou, Yiming Zhang, Chenhao Tan
Natural language explanations have the potential to provide rich information that in principle guides model reasoning. Yet, recent work by Lampinen et al. (2022) has shown limited…
GNNFormer: A Graph-based Framework for Cytopathology Report Generation
Yang-Fan Zhou, Kai-Lang Yao, Wu-Jun Li
Cytopathology report generation is a necessary step for the standardized examination of pathology images. However, manually writing detailed reports brings heavy workloads for path…
Medical Phrase Grounding with Region-Phrase Context Contrastive Alignment
Zhihao Chen, Yang Zhou, Anh Tran +8
Medical phrase grounding (MPG) aims to locate the most relevant region in a medical image, given a phrase query describing certain medical findings, which is an important task for…
Few-shot Fine-grained Image Classification via Multi-Frequency Neighborhood and Double-cross Modulation
Hegui Zhu, Zhan Gao, Jiayi Wang +2
Traditional fine-grained image classification typically relies on large-scale training samples with annotated ground-truth. However, some sub-categories have few available samples…