1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.CV2022★ 1 cited
An Efficient COarse-to-fiNE Alignment Framework @ Ego4D Natural Language Queries Challenge 2022
Zhijian Hou, Wanjun Zhong, Lei Ji +6
This technical report describes the CONE approach for Ego4D Natural Language Queries (NLQ) Challenge in ECCV 2022. We leverage our model CONE, an efficient window-centric COarse-to…
cs.CV2020
Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene Text
Difei Gao, Ke Li, Ruiping Wang +2
Answering questions that require reading texts in an image is challenging for current models. One key difficulty of this task is that rare, polysemous, and ambiguous words frequent…