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

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

collaborators

16 papers

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.LG20217 cited

Deconvolutional Networks on Graph Data

Jia Li, Jiajin Li, Yang Liu +3

In this paper, we consider an inverse problem in graph learning domain -- ``given the graph representations smoothed by Graph Convolutional Network (GCN), how can we reconstruct th…

cs.CL20214 cited

A Short Study on Compressing Decoder-Based Language Models

Tianda Li, Yassir El Mesbahi, Ivan Kobyzev +6

Pre-trained Language Models (PLMs) have been successful for a wide range of natural language processing (NLP) tasks. The state-of-the-art of PLMs, however, are extremely large to b…

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.CL20212 cited

Improving Factual Consistency of Abstractive Summarization on Customer Feedback

Yang Liu, Yifei Sun, Vincent Gao

E-commerce stores collect customer feedback to let sellers learn about customer concerns and enhance customer order experience. Because customer feedback often contains redundant i…