Stebėti
Amir Zamir
Amir Zamir
Kiti vardaiAmir R. Zamir, Amir Roshan Zamir
Professor of Computer Science, EPFL
Patvirtintas el. paštas stanford.edu - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
101 human actions from videos in the wild
K Soomro, AR Zamir, M Shah
arXiv preprint arXiv:1212.0402, 2012
7067*2012
3d semantic parsing of large-scale indoor spaces
I Armeni, O Sener, AR Zamir, H Jiang, I Brilakis, M Fischer, S Savarese
Proceedings of the IEEE conference on computer vision and pattern …, 2016
21462016
Taskonomy: Disentangling task transfer learning
AR Zamir, A Sax, W Shen, LJ Guibas, J Malik, S Savarese
Proceedings of the IEEE conference on computer vision and pattern …, 2018
14902018
Structural-rnn: Deep learning on spatio-temporal graphs
A Jain, AR Zamir, S Savarese, A Saxena
Proceedings of the ieee conference on computer vision and pattern …, 2016
14392016
Joint 2D-3D semantic data for indoor scene understanding
I Armeni
arXiv preprint arXiv:1702.01105, 2017
10482017
Gibson env: Real-world perception for embodied agents
F Xia*, A Zamir*, Z He*, A Sax, J Malik, S Savarese
Proceedings of the IEEE conference on computer vision and pattern …, 2018
9292018
On evaluation of embodied navigation agents
P Anderson, A Chang, DS Chaplot, A Dosovitskiy, S Gupta, V Koltun, ...
arXiv preprint arXiv:1807.06757, 2018
8172018
THUMOS challenge: Action recognition with a large number of classes
YG Jiang, J Liu, AR Zamir, I Laptev, M Piccardi, M Shah, R Sukthankar
7942013
UCF101: A dataset of 101 human actions classes from videos in the wild
S Khurram
arXiv preprint arXiv: 1212.0402, 2012
7552012
The thumos challenge on action recognition for videos “in the wild”
H Idrees, AR Zamir, YG Jiang, A Gorban, I Laptev, R Sukthankar, M Shah
Computer Vision and Image Understanding 155, 1-23, 2017
6702017
Which tasks should be learned together in multi-task learning?
T Standley, A Zamir, D Chen, L Guibas, J Malik, S Savarese
International conference on machine learning, 9120-9132, 2020
6302020
GMCP-tracker: Global multi-object tracking using generalized minimum clique graphs
AR Zamir, A Dehghan, M Shah
Computer Vision–ECCV 2012, 343-356, 2012
519*2012
Accurate image localization using google street view
AR Zamir, M Shah
Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010
485*2010
3d scene graph: A structure for unified semantics, 3d space, and camera
I Armeni, ZY He, JY Gwak, AR Zamir, M Fischer, J Malik, S Savarese
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
3752019
Action recognition in realistic sports videos
K Soomro, AR Zamir
Computer vision in sports, 181-208, 2015
3452015
MultiMAE: Multi-modal multi-task masked autoencoders
R Bachmann, D Mizrahi, A Atanov, A Zamir
Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022
2832022
Omnidata: A scalable pipeline for making multi-task mid-level vision datasets from 3d scans
A Eftekhar, A Sax, J Malik, A Zamir
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
2662021
Feedback networks
AR Zamir, TL Wu, L Sun, WB Shen, BE Shi, J Malik, S Savarese
Proceedings of the IEEE conference on computer vision and pattern …, 2017
2592017
Image Geo-localization Based on Multiple Nearest Neighbor Feature Matching Using Generalized Graphs
AR Zamir, M Shah
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 1-1, 2014
2572014
Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks
JO Zhang, A Sax, A Zamir, L Guibas, J Malik
ECCV, 2020
2342020
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Straipsniai 1–20