most citedPredicate correlation learning for scene graph generation

31 citations · 31 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Knowledge-aware Text-Image Retrieval for Remote Sensing Images

Li Mi, Xianjie Dai, Javiera Castillo-Navarro +1

Image-based retrieval in large Earth observation archives is challenging because one needs to navigate across thousands of candidate matches only with the query image as a guide. B…

cs.CV2024

ConGeo: Robust Cross-view Geo-localization across Ground View Variations

Li Mi, Chang Xu, Javiera Castillo-Navarro +4

Cross-view geo-localization aims at localizing a ground-level query image by matching it to its corresponding geo-referenced aerial view. In real-world scenarios, the task requires…

cs.CV2024

ConVQG: Contrastive Visual Question Generation with Multimodal Guidance

Li Mi, Syrielle Montariol, Javiera Castillo-Navarro +3

Asking questions about visual environments is a crucial way for intelligent agents to understand rich multi-faceted scenes, raising the importance of Visual Question Generation (VQ…

cs.CV2021★ 31 cited

Predicate correlation learning for scene graph generation

Leitian Tao, Li Mi, Nannan Li +3

For a typical Scene Graph Generation (SGG) method, there is often a large gap in the performance of the predicates' head classes and tail classes. This phenomenon is mainly caused…

cs.CV2021

SemCo: Toward Semantic Coherent Visual Relationship Forecasting

Yangjun Ou, Yao Liu, Li Mi +1

Visual Relationship Forecasting (VRF) aims to anticipate relations among objects without observing future visual content. The task relies on capturing and modeling the semantic coh…