DeepVision
Homogeneous Linear Inequality Constraints for Neural Network Activations-
[pdf]
[bibtex]@InProceedings{Frerix_2020_CVPR_Workshops,
author = {Frerix, Thomas and Niessner, Matthias and Cremers, Daniel},
title = {Homogeneous Linear Inequality Constraints for Neural Network Activations},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}
SUW-Learn: Joint Supervised, Unsupervised, Weakly Supervised Deep Learning for Monocular Depth Estimation-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Ren_2020_CVPR_Workshops,
author = {Ren, Haoyu and Raj, Aman and El-Khamy, Mostafa and Lee, Jungwon},
title = {SUW-Learn: Joint Supervised, Unsupervised, Weakly Supervised Deep Learning for Monocular Depth Estimation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}
Top-Down Networks: A Coarse-to-Fine Reimagination of CNNs-
[pdf]
[supp]
[bibtex]@InProceedings{Lelekas_2020_CVPR_Workshops,
author = {Lelekas, Ioannis and Tomen, Nergis and Pintea, Silvia L. and van Gemert, Jan C.},
title = {Top-Down Networks: A Coarse-to-Fine Reimagination of CNNs},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}
MUTE: Inter-Class Ambiguity Driven Multi-Hot Target Encoding for Deep Neural Network Design-
[pdf]
[bibtex]@InProceedings{Jaiswal_2020_CVPR_Workshops,
author = {Jaiswal, Mayoore S. and Kang, Bumsoo and Lee, Jinho and Cho, Minsik},
title = {MUTE: Inter-Class Ambiguity Driven Multi-Hot Target Encoding for Deep Neural Network Design},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}
SmoothMix: A Simple Yet Effective Data Augmentation to Train Robust Classifiers-
[pdf]
[bibtex]@InProceedings{Lee_2020_CVPR_Workshops,
author = {Lee, Jin-Ha and Zaheer, Muhammad Zaigham and Astrid, Marcella and Lee, Seung-Ik},
title = {SmoothMix: A Simple Yet Effective Data Augmentation to Train Robust Classifiers},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}
S2LD: Semi-Supervised Landmark Detection in Low-Resolution Images and Impact on Face Verification-
[pdf]
[supp]
[bibtex]@InProceedings{Kumar_2020_CVPR_Workshops,
author = {Kumar, Amit and Chellappa, Rama},
title = {S2LD: Semi-Supervised Landmark Detection in Low-Resolution Images and Impact on Face Verification},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}
P2L: Predicting Transfer Learning for Images and Semantic Relations-
[pdf]
[bibtex]@InProceedings{Bhattacharjee_2020_CVPR_Workshops,
author = {Bhattacharjee, Bishwaranjan and Kender, John R. and Hill, Matthew and Dube, Parijat and Huo, Siyu and Glass, Michael R. and Belgodere, Brian and Pankanti, Sharath and Codella, Noel and Watson, Patrick},
title = {P2L: Predicting Transfer Learning for Images and Semantic Relations},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}
Semi-Supervised Learning With Scarce Annotations-
[pdf]
[bibtex]@InProceedings{Rebuffi_2020_CVPR_Workshops,
author = {Rebuffi, Sylvestre-Alvise and Ehrhardt, Sebastien and Han, Kai and Vedaldi, Andrea and Zisserman, Andrew},
title = {Semi-Supervised Learning With Scarce Annotations},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}
Spatio-Temporal Action Detection and Localization Using a Hierarchical LSTM-
[pdf]
[bibtex]@InProceedings{Ramaswamy_2020_CVPR_Workshops,
author = {Ramaswamy, Akshaya and Seemakurthy, Karthik and Gubbi, Jayavardhana and Purushothaman, Balamuralidhar},
title = {Spatio-Temporal Action Detection and Localization Using a Hierarchical LSTM},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}
Can We Learn Heuristics for Graphical Model Inference Using Reinforcement Learning?-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Messaoud_2020_CVPR_Workshops,
author = {Messaoud, Safa and Kumar, Maghav and Schwing, Alexander G.},
title = {Can We Learn Heuristics for Graphical Model Inference Using Reinforcement Learning?},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}
Distilling Knowledge From Refinement in Multiple Instance Detection Networks-
[pdf]
[bibtex]@InProceedings{Zeni_2020_CVPR_Workshops,
author = {Zeni, Luis Felipe and Jung, Claudio R.},
title = {Distilling Knowledge From Refinement in Multiple Instance Detection Networks},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}
Robust One Shot Audio to Video Generation-
[pdf]
[bibtex]@InProceedings{Kumar_2020_CVPR_Workshops,
author = {Kumar, Neeraj and Goel, Srishti and Narang, Ankur and Hasan, Mujtaba},
title = {Robust One Shot Audio to Video Generation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}
Deflating Dataset Bias Using Synthetic Data Augmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Jaipuria_2020_CVPR_Workshops,
author = {Jaipuria, Nikita and Zhang, Xianling and Bhasin, Rohan and Arafa, Mayar and Chakravarty, Punarjay and Shrivastava, Shubham and Manglani, Sagar and Murali, Vidya N.},
title = {Deflating Dataset Bias Using Synthetic Data Augmentation},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
month = {June},
year = {2020}
}