17 citations · 29 across the 5 of their papers we have counts for
5 papers
Less is More: Understanding Word-level Textual Adversarial Attack via n-gram Frequency Descend
Ning Lu, Shengcai Liu, Zhirui Zhang +3
Word-level textual adversarial attacks have demonstrated notable efficacy in misleading Natural Language Processing (NLP) models. Despite their success, the underlying reasons for…
MAFNet: A Multi-Attention Fusion Network for RGB-T Crowd Counting
Pengyu Chen, Junyu Gao, Yuan Yuan +1
RGB-Thermal (RGB-T) crowd counting is a challenging task, which uses thermal images as complementary information to RGB images to deal with the decreased performance of unimodal RG…
DR.VIC: Decomposition and Reasoning for Video Individual Counting
Tao Han, Lei Bai, Junyu Gao +2
Pedestrian counting is a fundamental tool for understanding pedestrian patterns and crowd flow analysis. Existing works (e.g., image-level pedestrian counting, crossline crowd coun…
Where Does It Exist: Spatio-Temporal Video Grounding for Multi-Form Sentences
Zhu Zhang, Zhou Zhao, Yang Zhao +3
In this paper, we consider a novel task, Spatio-Temporal Video Grounding for Multi-Form Sentences (STVG). Given an untrimmed video and a declarative/interrogative sentence depictin…
Weakly-Supervised Video Moment Retrieval via Semantic Completion Network
Zhijie Lin, Zhou Zhao, Zhu Zhang +2
Video moment retrieval is to search the moment that is most relevant to the given natural language query. Existing methods are mostly trained in a fully-supervised setting, which r…