activity
20162025
most citedA New Representation of Skeleton Sequences for 3D Action Recognition

790 citations · 1.6k across the 16 of their papers we have counts for

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Showing 2021Show all

6 papers · 1 filter

cs.CV2021★ 43 cited

Video Joint Modelling Based on Hierarchical Transformer for Co-summarization

Li Haopeng, Ke Qiuhong, Gong Mingming +1

Video summarization aims to automatically generate a summary (storyboard or video skim) of a video, which can facilitate large-scale video retrieval and browsing. Most of the exist…

cs.CV2021★ 4 cited

Spatial-Temporal Transformer for 3D Point Cloud Sequences

Yimin Wei, Hao Liu, Tingting Xie +2

Effective learning of spatial-temporal information within a point cloud sequence is highly important for many down-stream tasks such as 4D semantic segmentation and 3D action recog…

cs.CV2021★ 2 cited

The Multi-Modal Video Reasoning and Analyzing Competition

Haoran Peng, He Huang, Li Xu +15

In this paper, we introduce the Multi-Modal Video Reasoning and Analyzing Competition (MMVRAC) workshop in conjunction with ICCV 2021. This competition is composed of four differen…

cs.CV2021★ 1 cited

Noise Doesn't Lie: Towards Universal Detection of Deep Inpainting

Ang Li, Qiuhong Ke, Xingjun Ma +4

Deep image inpainting aims to restore damaged or missing regions in an image with realistic contents. While having a wide range of applications such as object removal and image rec…

cs.CV2021

HexCNN: A Framework for Native Hexagonal Convolutional Neural Networks

Yunxiang Zhao, Qiuhong Ke, Flip Korn +2

Hexagonal CNN models have shown superior performance in applications such as IACT data analysis and aerial scene classification due to their better rotation symmetry and reduced an…

cs.AI2021

Adversarial Interaction Attack: Fooling AI to Misinterpret Human Intentions

Nodens Koren, Qiuhong Ke, Yisen Wang +2

Understanding the actions of both humans and artificial intelligence (AI) agents is important before modern AI systems can be fully integrated into our daily life. In this paper, w…