Gaidon, Adrien
Toyota Motor Corporation (Switzerland) · Toyota Research Institute
8 papers on CoChatORCID 0000-0001-8820-550X
Most cited papers
- Verified
VirtualWorlds as Proxy for Multi-object Tracking Analysis
Gaidon, A., Wang, Q., Cabon, Y., & Vig, E. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Video Surveillance and Tracking MethodsAdvanced Neural Network Applications
Cited by 1,079
- Verified
3D Packing for Self-Supervised Monocular Depth Estimation
Guizilini, V., Ambrus, R., Pillai, S., Raventos, A., & Gaidon, A. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Advanced Vision and ImagingAdvanced Neural Network Applications
Cited by 741
- Verified
Is Pseudo-Lidar needed for Monocular 3D Object detection?
Park, D., Ambrus, R., Guizilini, V., Li, J., & Gaidon, A. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
Advanced Neural Network ApplicationsAdvanced Vision and Imaging
Cited by 334
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Spatio-Temporal Graph for Video Captioning With Knowledge Distillation
Pan, B., Cai, H., Huang, D.-A., Lee, K.-H., Gaidon, A., Adeli, E., & Niebles, J. C. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition
Cited by 281
- Verified
Learning to Track with Object Permanence
Tokmakov, P., Li, J., Burgard, W., & Gaidon, A. (2021) · 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety
Cited by 226
- Verified
Self-supervised Learning is More Robust to Dataset Imbalance
Liu, H., HaoChen, J. Z., Gaidon, A., & Ma, T. (2021) · arXiv
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 84
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Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss
HaoChen, J. Z., Wei, C., Gaidon, A., & Ma, T. (2021) · arXiv
Domain Adaptation and Few-Shot LearningStochastic Gradient Optimization Techniques
Cited by 53
- Verified
Self-Supervised 3D Keypoint Learning for Ego-motion Estimation
Tang, J., Ambrus, R., Guizilini, V., Pillai, S., Kim, H., Jensfelt, P., & Gaidon, A. (2019) · arXiv
Robotics and Sensor-Based LocalizationAdvanced Vision and Imaging
Cited by 14
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