41 citations · 47 across the 10 of their papers we have counts for
4 papers · 1 filter
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…
CONE: An Efficient COarse-to-fiNE Alignment Framework for Long Video Temporal Grounding
Zhijian Hou, Wanjun Zhong, Lei Ji +6
This paper tackles an emerging and challenging problem of long video temporal grounding~(VTG) that localizes video moments related to a natural language (NL) query. Compared with s…
(Un)likelihood Training for Interpretable Embedding
Jiaxin Wu, Chong-Wah Ngo, Wing-Kwong Chan +1
Cross-modal representation learning has become a new normal for bridging the semantic gap between text and visual data. Learning modality agnostic representations in a continuous l…
Cross-lingual Adaptation for Recipe Retrieval with Mixup
Bin Zhu, Chong-Wah Ngo, Jingjing Chen +1
Cross-modal recipe retrieval has attracted research attention in recent years, thanks to the availability of large-scale paired data for training. Nevertheless, obtaining adequate…