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Taylor Mordan
Taylor Mordan
Postdoctoral researcher, EPFL
Verified email at epfl.ch - Homepage
Title
Cited by
Cited by
Year
Wildcat: Weakly supervised learning of deep convnets for image classification, pointwise localization and segmentation
T Durand, T Mordan, N Thome, M Cord
Proceedings of the IEEE conference on computer vision and pattern …, 2017
3932017
Ttt++: When does self-supervised test-time training fail or thrive?
Y Liu, P Kothari, B Van Delft, B Bellot-Gurlet, T Mordan, A Alahi
Advances in Neural Information Processing Systems 34, 21808-21820, 2021
1702021
Revisiting multi-task learning with rock: a deep residual auxiliary block for visual detection
T Mordan, N Thome, G Henaff, M Cord
Advances in neural information processing systems 31, 2018
632018
Pedestrian intention prediction: A convolutional bottom-up multi-task approach
H Razali, T Mordan, A Alahi
Transportation research part C: emerging technologies 130, 103259, 2021
482021
End-to-end learning of latent deformable part-based representations for object detection
T Mordan, N Thome, G Henaff, M Cord
International Journal of Computer Vision 127, 1659-1679, 2019
412019
Detecting 32 pedestrian attributes for autonomous vehicles
T Mordan, M Cord, P Pérez, A Alahi
IEEE transactions on intelligent transportation systems 23 (8), 11823-11835, 2021
242021
Deformable part-based fully convolutional network for object detection
T Mordan, N Thome, M Cord, G Henaff
arXiv preprint arXiv:1707.06175, 2017
242017
Learning decoupled representations for human pose forecasting
B Parsaeifard, S Saadatnejad, Y Liu, T Mordan, A Alahi
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
212021
A generic diffusion-based approach for 3d human pose prediction in the wild
S Saadatnejad, A Rasekh, M Mofayezi, Y Medghalchi, S Rajabzadeh, ...
2023 IEEE International Conference on Robotics and Automation (ICRA), 8246-8253, 2023
162023
Do pedestrians pay attention? eye contact detection in the wild
Y Belkada, L Bertoni, R Caristan, T Mordan, A Alahi
arXiv preprint arXiv:2112.04212, 2021
142021
Monstereo: When monocular and stereo meet at the tail of 3d human localization
L Bertoni, S Kreiss, T Mordan, A Alahi
2021 IEEE International Conference on Robotics and Automation (ICRA), 5126-5132, 2021
102021
A shared representation for photorealistic driving simulators
S Saadatnejad, S Li, T Mordan, A Alahi
arXiv preprint arXiv:2112.05134, 2021
72021
Pedestrian stop and go forecasting with hybrid feature fusion
D Guo, T Mordan, A Alahi
2022 International Conference on Robotics and Automation (ICRA), 940-947, 2022
22022
Toward Reliable Human Pose Forecasting with Uncertainty
S Saadatnejad, M Mirmohammadi, M Daghyani, P Saremi, YZ Benisi, ...
arXiv preprint arXiv:2304.06707, 2023
12023
Simple yet effective action recognition for autonomous driving
W Xiong, L Bertoni, T Mordan, A Alahi
11th Triennial Symposium on Transportation Analysis Conference (TRISTAN XI), 2022
12022
Bilinear Multimodal Discriminator for Adversarial Domain Adaptation with Privileged Information
T Mordan, A Saporta, A Alahi, M Cord, P Pérez
Proceedings of the 9th Symposium of the European Association for Research in …, 2020
12020
Visualisation des réseaux de neurones
T Robert, T Mordan, R Cadene, M Cord
2018
Transfer Learning par extraction de features dans un CNN
T Robert, T Mordan, R Cadene, M Cord
2018
Conception d'architectures profondes pour l'interprétation de données visuelles
T Mordan
Sorbonne université, 2018
2018
Designing Deep Architectures for Visual Understanding
T Mordan
EDITE, 2018
2018
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Articles 1–20