متابعة
Adrien Gaidon
Adrien Gaidon
Adjunct Professor, Stanford
بريد إلكتروني تم التحقق منه على stanford.edu - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss‏
K Cao, C Wei, A Gaidon, N Arechiga, T Ma‏
Advances in Neural Information Processing Systems, 2019‏
19642019
Virtual worlds as proxy for multi-object tracking analysis‏
A Gaidon, Q Wang, Y Cabon, E Vig‏
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016‏
14282016
3D packing for self-supervised monocular depth estimation‏
V Guizilini, R Ambrus, S Pillai, A Raventos, A Gaidon‏
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2020‏
8422020
Exploring the Limitations of Behavior Cloning for Autonomous Driving‏
F Codevilla, E Santana, AM López, A Gaidon‏
Proceedings of the IEEE International Conference on Computer Vision, 2019‏
6692019
It Is Not the Journey but the Destination: Endpoint Conditioned Trajectory Prediction‏
K Mangalam, H Girase, S Agarwal, KH Lee, E Adeli, J Malik, A Gaidon‏
European Conference on Computer Vision (ECCV), 2020‏
5452020
Is pseudo-lidar needed for monocular 3d object detection?‏
D Park, R Ambrus, V Guizilini, J Li, A Gaidon‏
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021‏
3682021
Spatio-Temporal Graph for Video Captioning with Knowledge Distillation‏
B Pan, H Cai, DA Huang, KH Lee, A Gaidon, E Adeli, JC Niebles‏
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2020‏
3452020
Provable guarantees for self-supervised deep learning with spectral contrastive loss‏
JZ HaoChen, C Wei, A Gaidon, T Ma‏
Advances in neural information processing systems 34, 5000-5011, 2021‏
3362021
Roi-10d: Monocular lifting of 2d detection to 6d pose and metric shape‏
F Manhardt, W Kehl, A Gaidon‏
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019‏
3272019
Semantically-Guided Representation Learning for Self-Supervised Monocular Depth‏
V Guizilini, R Hou, J Li, R Ambrus, A Gaidon‏
ICLR, 2020‏
2782020
Temporal Localization of Actions with Actoms‏
A Gaidon, Z Harchaoui, C Schmid‏
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013‏
2752013
Superdepth: Self-supervised, super-resolved monocular depth estimation‏
S Pillai, R Ambrus, A Gaidon‏
ICRA, 2019‏
2582019
Learning to track with object permanence‏
P Tokmakov, J Li, W Burgard, A Gaidon‏
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021‏
2532021
Differentiable rendering: A survey‏
H Kato, D Beker, M Morariu, T Ando, T Matsuoka, W Kehl, A Gaidon‏
arXiv preprint arXiv:2006.12057, 2020‏
2182020
Actom sequence models for efficient action detection‏
A Gaidon, Z Harchaoui, C Schmid‏
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2011‏
2132011
Spatiotemporal relationship reasoning for pedestrian intent prediction‏
B Liu, E Adeli, Z Cao, KH Lee, A Shenoi, A Gaidon, JC Niebles‏
IEEE Robotics and Automation Letters 5 (2), 3485-3492, 2020‏
2022020
Self-supervised Learning is More Robust to Dataset Imbalance‏
H Liu, JZ HaoChen, A Gaidon, T Ma‏
International Conference on Learning Representations (ICLR'22), 2022‏
1902022
Revisiting the" video" in video-language understanding‏
S Buch, C Eyzaguirre, A Gaidon, J Wu, L Fei-Fei, JC Niebles‏
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022‏
1842022
Procedural generation of videos to train deep action recognition networks‏
C Roberto de Souza, A Gaidon, Y Cabon, A Manuel Lopez‏
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017‏
1762017
SPIGAN: Privileged adversarial learning from simulation‏
KH Lee, G Ros, J Li, A Gaidon‏
ICLR, 2019‏
1462019
يتعذر على النظام إجراء العملية في الوقت الحالي. عاود المحاولة لاحقًا.
مقالات 1–20