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Hanna Suominen

3 accepted papers

2022

CILex: An Investigation of Context Information for Lexical Substitution Methods

COLING 2022main

Lexical substitution, which aims to generate substitutes for a target word given a context, is an important natural language processing task useful in many applications. Due to the paucity of annotated data, existing methods for lexical substitution tend to rely on manually curated lexical resources…

2021

ARVo: Learning All-Range Volumetric Correspondence for Video Deblurring

CVPR 2021poster

Video deblurring models exploit consecutive frames to remove blurs from camera shakes and object motions. In order to utilize neighboring sharp patches, typical methods rely mainly on homography or optical flows to spatially align neighboring blurry frames. However, such explicit approaches are less…

Cited by 83PDFScholar
2020

TSPNet: Hierarchical Feature Learning via Temporal Semantic Pyramid for Sign Language Translation

NeurIPS 2020poster

Sign language translation (SLT) aims to interpret sign video sequences into text-based natural language sentences. Sign videos consist of continuous sequences of sign gestures with no clear boundaries in between. Existing SLT models usually represent sign visual features in a frame-wise manner so as…