Women in Computer Vision
BGT-Net: Bidirectional GRU Transformer Network for Scene Graph Generation-
[pdf]
[supp]
[bibtex]@InProceedings{Dhingra_2021_CVPR, author = {Dhingra, Naina and Ritter, Florian and Kunz, Andreas}, title = {BGT-Net: Bidirectional GRU Transformer Network for Scene Graph Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2150-2159} }
Collaborative Image and Object Level Features for Image Colourisation-
[pdf]
[bibtex]@InProceedings{Pucci_2021_CVPR, author = {Pucci, Rita and Micheloni, Christian and Martinel, Niki}, title = {Collaborative Image and Object Level Features for Image Colourisation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2160-2169} }
DeepDNet: Deep Dense Network for Depth Completion Task-
[pdf]
[bibtex]@InProceedings{Hegde_2021_CVPR, author = {Hegde, Girish and Pharale, Tushar and Jahagirdar, Soumya and Nargund, Vaishakh and Tabib, Ramesh Ashok and Mudenagudi, Uma and Vandrotti, Basavaraja and Dhiman, Ankit}, title = {DeepDNet: Deep Dense Network for Depth Completion Task}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2190-2199} }
On the Robustness of Monte Carlo Dropout Trained With Noisy Labels-
[pdf]
[arXiv]
[bibtex]@InProceedings{Goel_2021_CVPR, author = {Goel, Purvi and Chen, Li}, title = {On the Robustness of Monte Carlo Dropout Trained With Noisy Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2219-2228} }
RUIG: Realistic Underwater Image Generation Towards Restoration-
[pdf]
[bibtex]@InProceedings{Desai_2021_CVPR, author = {Desai, Chaitra and Tabib, Ramesh Ashok and Reddy, Sai Sudheer and Patil, Ujwala and Mudenagudi, Uma}, title = {RUIG: Realistic Underwater Image Generation Towards Restoration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2181-2189} }
PointDCCNet: 3D Object Categorization Network Using Point Cloud Decomposition-
[pdf]
[bibtex]@InProceedings{Katageri_2021_CVPR, author = {Katageri, Siddharth and Kulmi, Sameer and Tabib, Ramesh Ashok and Mudenagudi, Uma}, title = {PointDCCNet: 3D Object Categorization Network Using Point Cloud Decomposition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2200-2208} }
Contrastive Domain Adaptation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Thota_2021_CVPR, author = {Thota, Mamatha and Leontidis, Georgios}, title = {Contrastive Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2209-2218} }
CNN-Based Morphological Decomposition of X-Ray Images for Details and Defects Contrast Enhancement-
[pdf]
[bibtex]@InProceedings{Madmad_2021_CVPR, author = {Madmad, Tahani and Delinte, Nicolas and De Vleeschouwer, Christophe}, title = {CNN-Based Morphological Decomposition of X-Ray Images for Details and Defects Contrast Enhancement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2021}, pages = {2170-2180} }