22 citations · 44 across the 9 of their papers we have counts for
9 papers
Triple Correlations-Guided Label Supplementation for Unbiased Video Scene Graph Generation
Wenqing Wang, Kaifeng Gao, Yawei Luo +5
Video-based scene graph generation (VidSGG) is an approach that aims to represent video content in a dynamic graph by identifying visual entities and their relationships. Due to th…
Improving Reference-based Distinctive Image Captioning with Contrastive Rewards
Yangjun Mao, Jun Xiao, Dong Zhang +4
Distinctive Image Captioning (DIC) -- generating distinctive captions that describe the unique details of a target image -- has received considerable attention over the last few ye…
TreePrompt: Learning to Compose Tree Prompts for Explainable Visual Grounding
Chenchi Zhang, Jun Xiao, Lei Chen +2
Prompt tuning has achieved great success in transferring the knowledge from large pretrained vision-language models into downstream tasks, and has dominated the performance on visu…
Zero-shot Visual Relation Detection via Composite Visual Cues from Large Language Models
Lin Li, Jun Xiao, Guikun Chen +3
Pretrained vision-language models, such as CLIP, have demonstrated strong generalization capabilities, making them promising tools in the realm of zero-shot visual recognition. Vis…
Learning Combinatorial Prompts for Universal Controllable Image Captioning
Zhen Wang, Jun Xiao, Yueting Zhuang +3
Controllable Image Captioning (CIC) -- generating natural language descriptions about images under the guidance of given control signals -- is one of the most promising directions…
Label Semantic Knowledge Distillation for Unbiased Scene Graph Generation
Lin Li, Long Chen, Hanrong Shi +4
The Scene Graph Generation (SGG) task aims to detect all the objects and their pairwise visual relationships in a given image. Although SGG has achieved remarkable progress over th…
Rethinking the Evaluation of Unbiased Scene Graph Generation
Xingchen Li, Long Chen, Jian Shao +3
Current Scene Graph Generation (SGG) methods tend to predict frequent predicate categories and fail to recognize rare ones due to the severe imbalanced distribution of predicates.…
Rethinking the Reference-based Distinctive Image Captioning
Yangjun Mao, Long Chen, Zhihong Jiang +4
Distinctive Image Captioning (DIC) -- generating distinctive captions that describe the unique details of a target image -- has received considerable attention over the last few ye…
Explicit Image Caption Editing
Zhen Wang, Long Chen, Wenbo Ma +4
Given an image and a reference caption, the image caption editing task aims to correct the misalignment errors and generate a refined caption. However, all existing caption editing…