Embedded Vision
Phase Selective Convolution-
[pdf]
[supp]
[bibtex]@InProceedings{Lin_2021_CVPR, author = {Lin, Jamie Menjay and Noorzad, Parham and Yang, Yang and Kwak, Nojun and Porikli, Fatih}, title = {Phase Selective Convolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {3199-3208} }
Automotive Radar Interference Mitigation With Unfolded Robust PCA Based on Residual Overcomplete Auto-Encoder Blocks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ristea_2021_CVPR, author = {Ristea, Nicolae-Catalin and Anghel, Andrei and Ionescu, Radu Tudor and Eldar, Yonina C.}, title = {Automotive Radar Interference Mitigation With Unfolded Robust PCA Based on Residual Overcomplete Auto-Encoder Blocks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {3209-3214} }
Combining Weight Pruning and Knowledge Distillation for CNN Compression-
[pdf]
[bibtex]@InProceedings{Aghli_2021_CVPR, author = {Aghli, Nima and Ribeiro, Eraldo}, title = {Combining Weight Pruning and Knowledge Distillation for CNN Compression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {3191-3198} }
Depth Distillation: Unsupervised Metric Depth Estimation for UAVs by Finding Consensus Between Kinematics, Optical Flow and Deep Learning-
[pdf]
[bibtex]@InProceedings{Pirvu_2021_CVPR, author = {Pirvu, Mihai and Robu, Victor and Licaret, Vlad and Costea, Dragos and Marcu, Alina and Slusanschi, Emil and Sukthankar, Rahul and Leordeanu, Marius}, title = {Depth Distillation: Unsupervised Metric Depth Estimation for UAVs by Finding Consensus Between Kinematics, Optical Flow and Deep Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {3215-3223} }
CASSOD-Net: Cascaded and Separable Structures of Dilated Convolution for Embedded Vision Systems and Applications-
[pdf]
[bibtex]@InProceedings{Chen_2021_CVPR, author = {Chen, Tse-Wei and Wang, Deyu and Tao, Wei and Wen, Dongchao and Yin, Lingxiao and Ito, Tadayuki and Osa, Kinya and Kato, Masami}, title = {CASSOD-Net: Cascaded and Separable Structures of Dilated Convolution for Embedded Vision Systems and Applications}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {3182-3190} }