activity
20202022
most citedSpatial-Temporal Transformer for 3D Point Cloud Sequences

4 citations · 7 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CV2022

Iterative Geometry-Aware Cross Guidance Network for Stereo Image Inpainting

Ang Li, Shanshan Zhao, Qingjie Zhang +1

Currently, single image inpainting has achieved promising results based on deep convolutional neural networks. However, inpainting on stereo images with missing regions has not bee…

cs.CV20214 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.CV20212 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.CV20211 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…