Deep Learning for Geometric Computing
Evaluation of Latent Space Learning With Procedurally-Generated Datasets of Shapes-
[pdf]
[bibtex]@InProceedings{Ali_2021_ICCV, author = {Ali, Sharjeel and van Kaick, Oliver}, title = {Evaluation of Latent Space Learning With Procedurally-Generated Datasets of Shapes}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {2086-2094} }
Distance and Edge Transform for Skeleton Extraction-
[pdf]
[bibtex]@InProceedings{Tang_2021_ICCV, author = {Tang, Xiaojun and Zheng, Rui and Wang, Yinghao}, title = {Distance and Edge Transform for Skeleton Extraction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {2136-2141} }
3D Shapes Local Geometry Codes Learning With SDF-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yao_2021_ICCV, author = {Yao, Shun and Yang, Fei and Cheng, Yongmei and Mozerov, Mikhail G.}, title = {3D Shapes Local Geometry Codes Learning With SDF}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {2110-2117} }
SkeletonNetV2: A Dense Channel Attention Blocks for Skeleton Extraction-
[pdf]
[bibtex]@InProceedings{Nathan_2021_ICCV, author = {Nathan, Sabari and Kansal, Priya}, title = {SkeletonNetV2: A Dense Channel Attention Blocks for Skeleton Extraction}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {2142-2149} }
DISCO - U-Net Based Autoencoder Architecture With Dual Input Streams for Skeleton Image Drawing-
[pdf]
[bibtex]@InProceedings{Song_2021_ICCV, author = {Song, Soonyong and Bae, Heechul and Park, Junhee}, title = {DISCO - U-Net Based Autoencoder Architecture With Dual Input Streams for Skeleton Image Drawing}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {2128-2135} }
U-Net Based Skeletonization and Bag of Tricks-
[pdf]
[bibtex]@InProceedings{Nguyen_2021_ICCV, author = {Nguyen, Nam Hoang}, title = {U-Net Based Skeletonization and Bag of Tricks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {2105-2109} }
Investigating Transformers in the Decomposition of Polygonal Shapes As Point Collections-
[pdf]
[arXiv]
[bibtex]@InProceedings{Alfieri_2021_ICCV, author = {Alfieri, Andrea and Lin, Yancong and van Gemert, Jan C.}, title = {Investigating Transformers in the Decomposition of Polygonal Shapes As Point Collections}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {2076-2085} }
PatchAugment: Local Neighborhood Augmentation in Point Cloud Classification-
[pdf]
[bibtex]@InProceedings{Sheshappanavar_2021_ICCV, author = {Sheshappanavar, Shivanand Venkanna and Singh, Vinit Veerendraveer and Kambhamettu, Chandra}, title = {PatchAugment: Local Neighborhood Augmentation in Point Cloud Classification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {2118-2127} }
Towards Efficient Point Cloud Graph Neural Networks Through Architectural Simplification-
[pdf]
[arXiv]
[bibtex]@InProceedings{Tailor_2021_ICCV, author = {Tailor, Shyam A. and de Jong, Ren\'e and Azevedo, Tiago and Mattina, Matthew and Maji, Partha}, title = {Towards Efficient Point Cloud Graph Neural Networks Through Architectural Simplification}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {2095-2104} }
Learning Laplacians in Chebyshev Graph Convolutional Networks-
[pdf]
[bibtex]@InProceedings{Sahbi_2021_ICCV, author = {Sahbi, Hichem}, title = {Learning Laplacians in Chebyshev Graph Convolutional Networks}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) Workshops}, month = {October}, year = {2021}, pages = {2064-2075} }