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20182022
most citedHSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning

84 citations · 176 across the 10 of their papers we have counts for

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9 papers · 1 filter

cs.CV2022

Exploring Motion and Appearance Information for Temporal Sentence Grounding

Daizong Liu, Xiaoye Qu, Pan Zhou +1

This paper addresses temporal sentence grounding. Previous works typically solve this task by learning frame-level video features and align them with the textual information. A maj…

cs.CV202184 cited

HSVA: Hierarchical Semantic-Visual Adaptation for Zero-Shot Learning

Shiming Chen, Guo-Sen Xie, Yang Liu +5

Zero-shot learning (ZSL) tackles the unseen class recognition problem, transferring semantic knowledge from seen classes to unseen ones. Typically, to guarantee desirable knowledge…

cs.CV20219 cited

Cross-Sentence Temporal and Semantic Relations in Video Activity Localisation

Jiabo Huang, Yang Liu, Shaogang Gong +1

Video activity localisation has recently attained increasing attention due to its practical values in automatically localising the most salient visual segments corresponding to the…

cs.CV2021

TEACHTEXT: CrossModal Generalized Distillation for Text-Video Retrieval

Ioana Croitoru, Simion-Vlad Bogolin, Marius Leordeanu +4

In recent years, considerable progress on the task of text-video retrieval has been achieved by leveraging large-scale pretraining on visual and audio datasets to construct powerfu…

cs.CV2020

QuerYD: A video dataset with high-quality text and audio narrations

Andreea-Maria Oncescu, João F. Henriques, Yang Liu +2

We introduce QuerYD, a new large-scale dataset for retrieval and event localisation in video. A unique feature of our dataset is the availability of two audio tracks for each video…

cs.CV202010 cited

The End-of-End-to-End: A Video Understanding Pentathlon Challenge (2020)

Samuel Albanie, Yang Liu, Arsha Nagrani +18

We present a new video understanding pentathlon challenge, an open competition held in conjunction with the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2020.…