4 citations · 5 across the 5 of their papers we have counts for
5 papers
NEUCORE: Neural Concept Reasoning for Composed Image Retrieval
Shu Zhao, Huijuan Xu
Composed image retrieval which combines a reference image and a text modifier to identify the desired target image is a challenging task, and requires the model to comprehend both…
Weakly-Supervised Temporal Action Detection for Fine-Grained Videos with Hierarchical Atomic Actions
Zhi Li, Lu He, Huijuan Xu
Action understanding has evolved into the era of fine granularity, as most human behaviors in real life have only minor differences. To detect these fine-grained actions accurately…
Disentangled Action Recognition with Knowledge Bases
Zhekun Luo, Shalini Ghosh, Devin Guillory +3
Action in video usually involves the interaction of human with objects. Action labels are typically composed of various combinations of verbs and nouns, but we may not have trainin…
Syntax Controlled Knowledge Graph-to-Text Generation with Order and Semantic Consistency
Jin Liu, Chongfeng Fan, Fengyu Zhou +1
The knowledge graph (KG) stores a large amount of structural knowledge, while it is not easy for direct human understanding. Knowledge graph-to-text (KG-to-text) generation aims to…
Translating Videos to Natural Language Using Deep Recurrent Neural Networks
Subhashini Venugopalan, Huijuan Xu, Jeff Donahue +3
Solving the visual symbol grounding problem has long been a goal of artificial intelligence. The field appears to be advancing closer to this goal with recent breakthroughs in deep…