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3DV

2020 1 paper
SF-UDA<sup>3D</sup>: Source-Free Unsupervised Domain Adaptation for LiDAR-Based 3D Object Detection

SF-UDA3D: Source-Free Unsupervised Domain Adaptation for LiDAR-Based 3D Object Detection

Cristiano Saltori, Stéphane Lathuiliére, Nicu Sebe, Elisa Ricci, Fabio Galasso

AAAI

2020 3 papers
Bi-Directional Generation for Unsupervised Domain Adaptation

Bi-Directional Generation for Unsupervised Domain Adaptation

Guanglei Yang, Haifeng Xia, Mingli Ding, Zhengming Ding
Business Entity Matching with Siamese Graph Convolutional Networks

Business Entity Matching with Siamese Graph Convolutional Networks

Evgeny Krivosheev, Mattia Atzeni, Katsiaryna Mirylenka, Paolo Scotton, Christoph Miksovic, Anton Zorin
Random Erasing Data Augmentation

Random Erasing Data Augmentation

Zhun Zhong, Liang Zheng, Guoliang Kang, Shaozi Li, Yi Yang

ACM MM

2020 1 paper
Dual In-painting Model for Unsupervised Gaze Correction and Animation in the Wild

Dual In-painting Model for Unsupervised Gaze Correction and Animation in the Wild

Jichao Zhang, Jingjing Chen, Hao Tang, Wei Wang, Yan Yan, Enver Sangineto, Nicu Sebe

ACM Multimedia

2020 1 paper
Class-Aware Modality Mix and Center-Guided Metric Learning for Visible-Thermal Person Re-Identification

Class-Aware Modality Mix and Center-Guided Metric Learning for Visible-Thermal Person Re-Identification

Yongguo Ling, Zhun Zhong, Zhiming Luo, Paolo Rota, Shaozi Li, Nicu Sebe

ECCV

2020 4 papers
Learning to Cluster under Domain Shift

Learning to Cluster under Domain Shift

On the usage of the trifocal tensor in motion segmentation

On the usage of the trifocal tensor in motion segmentation

Federica Arrigoni, Luca Magri, Tomas Pajdla
Online Continual Learning under Extreme Memory Constraints

Online Continual Learning under Extreme Memory Constraints

Towards Generalization Across Depth for Monocular 3D Object Detection

Towards Generalization Across Depth for Monocular 3D Object Detection

Andrea Simonelli, Samuel Rota Bulò, Lorenzo Porzi, Elisa Ricci, Peter Kontschieder
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