ICCV 2021 Open Access Repository

When Graph Signal Processing Meets Computer Vision

Unsupervised Learning of Geometric Sampling Invariant Representations for 3D Point Clouds: Haolan Chen,

Shitong Luo,

Xiang Gao,

Wei Hu; [pdf]
[bibtex]
@InProceedings{Chen_2021_ICCV, author = {Chen, Haolan and Luo, Shitong and Gao, Xiang and Hu, Wei}, title = {Unsupervised Learning of Geometric Sampling Invariant Representations for 3D Point Clouds}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {893-903} }
Zero-Shot Learning via Contrastive Learning on Dual Knowledge Graphs: Jin Wang,

Bo Jiang; [pdf]
[bibtex]
@InProceedings{Wang_2021_ICCV, author = {Wang, Jin and Jiang, Bo}, title = {Zero-Shot Learning via Contrastive Learning on Dual Knowledge Graphs}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {885-892} }
Parameterized Pseudo-Differential Operators for Graph Convolutional Neural Networks: Kevin Potter,

Steven Sleder,

Matthew Smith,

Shehan Perera,

Alper Yilmaz,

John Tencer; [pdf]
[bibtex]
@InProceedings{Potter_2021_ICCV, author = {Potter, Kevin and Sleder, Steven and Smith, Matthew and Perera, Shehan and Yilmaz, Alper and Tencer, John}, title = {Parameterized Pseudo-Differential Operators for Graph Convolutional Neural Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {904-912} }
Moving Object Detection for Event-Based Vision Using Graph Spectral Clustering: Anindya Mondal,

Shashant R,

Jhony H. Giraldo,

Thierry Bouwmans,

Ananda S. Chowdhury; [pdf] [arXiv]
[bibtex]
@InProceedings{Mondal_2021_ICCV, author = {Mondal, Anindya and R, Shashant and Giraldo, Jhony H. and Bouwmans, Thierry and Chowdhury, Ananda S.}, title = {Moving Object Detection for Event-Based Vision Using Graph Spectral Clustering}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {876-884} }
Border-SegGCN: Improving Semantic Segmentation by Refining the Border Outline Using Graph Convolutional Network: Naina Dhingra,

George Chogovadze,

Andreas Kunz; [pdf] [supp]
[bibtex]
@InProceedings{Dhingra_2021_ICCV, author = {Dhingra, Naina and Chogovadze, George and Kunz, Andreas}, title = {Border-SegGCN: Improving Semantic Segmentation by Refining the Border Outline Using Graph Convolutional Network}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {865-875} }
Skeleton Graph Scattering Networks for 3D Skeleton-Based Human Motion Prediction: Maosen Li,

Siheng Chen,

Zihui Liu,

Zijing Zhang,

Lingxi Xie,

Qi Tian,

Ya Zhang; [pdf]
[bibtex]
@InProceedings{Li_2021_ICCV, author = {Li, Maosen and Chen, Siheng and Liu, Zihui and Zhang, Zijing and Xie, Lingxi and Tian, Qi and Zhang, Ya}, title = {Skeleton Graph Scattering Networks for 3D Skeleton-Based Human Motion Prediction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {854-864} }