activity
20172023
most citedFECANet: Boosting Few-Shot Semantic Segmentation with Feature-Enhanced Context-Aware Network

105 citations · 226 across the 10 of their papers we have counts for

collaborators

11 papers

cs.CV2023★ 105 cited

FECANet: Boosting Few-Shot Semantic Segmentation with Feature-Enhanced Context-Aware Network

Huafeng Liu, Pai Peng, Tao Chen +3

Few-shot semantic segmentation is the task of learning to locate each pixel of the novel class in the query image with only a few annotated support images. The current correlation-…

cs.CV2022★ 3 cited

Locate before Answering: Answer Guided Question Localization for Video Question Answering

Tianwen Qian, Ran Cui, Jingjing Chen +3

Video question answering (VideoQA) is an essential task in vision-language understanding, which has attracted numerous research attention recently. Nevertheless, existing works mos…

cs.CL2022★ 1 cited

An Efficient End-to-End Transformer with Progressive Tri-modal Attention for Multi-modal Emotion Recognition

Yang Wu, Pai Peng, Zhenyu Zhang +2

Recent works on multi-modal emotion recognition move towards end-to-end models, which can extract the task-specific features supervised by the target task compared with the two-pha…

cs.CL2022

Reprint: a randomized extrapolation based on principal components for data augmentation

Le Li, Jiale Wei, Pai Peng +3

Data scarcity and data imbalance have attracted a lot of attention in many fields. Data augmentation, explored as an effective approach to tackle them, can improve the robustness a…

cs.CV2022★ 41 cited

Video Moment Retrieval from Text Queries via Single Frame Annotation

Ran Cui, Tianwen Qian, Pai Peng +5

Video moment retrieval aims at finding the start and end timestamps of a moment (part of a video) described by a given natural language query. Fully supervised methods need complet…

cs.CV2021

PR-Net: Preference Reasoning for Personalized Video Highlight Detection

Runnan Chen, Penghao Zhou, Wenzhe Wang +4

Personalized video highlight detection aims to shorten a long video to interesting moments according to a user's preference, which has recently raised the community's attention. Cu…