Built-in foreground/background prior for weakly-supervised semantic segmentation F Saleh, MS Aliakbarian, M Salzmann, L Petersson, S Gould, JM Alvarez
European conference on computer vision, 413-432, 2016
157 2016 UC-Net: Uncertainty inspired RGB-D saliency detection via conditional variational autoencoders J Zhang, DP Fan, Y Dai, S Anwar, FS Saleh, T Zhang, N Barnes
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
145 2020 Encouraging lstms to anticipate actions very early M Sadegh Aliakbarian, F Sadat Saleh, M Salzmann, B Fernando, ...
Proceedings of the IEEE International Conference on Computer Vision, 280-289, 2017
138 2017 Effective use of synthetic data for urban scene semantic segmentation FS Saleh, MS Aliakbarian, M Salzmann, L Petersson, JM Alvarez
European Conference on Computer Vision, 86-103, 2018
116 2018 Proposal-free temporal moment localization of a natural-language query in video using guided attention C Rodriguez, E Marrese-Taylor, FS Saleh, H Li, S Gould
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020
66 2020 Uncertainty inspired RGB-D saliency detection J Zhang, DP Fan, Y Dai, S Anwar, F Saleh, S Aliakbarian, N Barnes
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
44 2021 A Stochastic Conditioning Scheme for Diverse Human Motion Prediction S Aliakbarian, FS Saleh, M Salzmann, L Petersson, S Gould
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
42 2020 Bringing background into the foreground: Making all classes equal in weakly-supervised video semantic segmentation FS Saleh, MS Aliakbarian, M Salzmann, L Petersson, JM Alvarez
2017 IEEE international conference on computer vision (ICCV), 2125-2135, 2017
38 2017 Incorporating network built-in priors in weakly-supervised semantic segmentation FS Saleh, MS Aliakbarian, M Salzmann, L Petersson, JM Alvarez, S Gould
IEEE transactions on pattern analysis and machine intelligence 40 (6), 1382-1396, 2017
37 2017 Probabilistic tracklet scoring and inpainting for multiple object tracking F Saleh, S Aliakbarian, H Rezatofighi, M Salzmann, S Gould
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
22 * 2021 VIENA MS Aliakbarian, FS Saleh, M Salzmann, B Fernando, L Petersson, ...
Asian Conference on Computer Vision, 449-466, 2018
19 2018 The ikea asm dataset: Understanding people assembling furniture through actions, objects and pose Y Ben-Shabat, X Yu, F Saleh, D Campbell, C Rodriguez-Opazo, H Li, ...
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021
18 2021 Joint learning of social groups, individuals action and sub-group activities in videos M Ehsanpour, A Abedin, F Saleh, J Shi, I Reid, H Rezatofighi
European Conference on Computer Vision, 177-195, 2020
17 2020 Contextually Plausible and Diverse 3D Human Motion Prediction S Aliakbarian, FS Saleh, L Petersson, S Gould, M Salzmann
arXiv preprint arXiv:1912.08521, 2019
14 * 2019 Deep action-and context-aware sequence learning for activity recognition and anticipation MS Aliakbarian, F Saleh, B Fernando, M Salzmann, L Petersson, ...
arXiv preprint arXiv:1611.05520, 2016
13 2016 Optimal supervised feature extraction in internet traffic classification MS Aliakbarian, A Fanian, FS Saleh, TA Gulliver
2013 IEEE Pacific Rim Conference on Communications, Computers and Signal …, 2013
10 2013 Learning variations in human motion via mix-and-match perturbation MS Aliakbarian, FS Saleh, M Salzmann, L Petersson, S Gould, ...
arXiv preprint arXiv:1908.00733, 2019
2 2019 JRDB-Act: A Large-scale Multi-modal Dataset for Spatio-temporal Action, Social Group and Activity Detection M Ehsanpour, F Saleh, S Savarese, I Reid, H Rezatofighi
arXiv preprint arXiv:2106.08827, 2021
1 2021 Semantically Plausible and Diverse 3D Human Motion Prediction S Aliakbarian, FS Saleh, M Salzmann, L Petersson, S Gould
2020 Semantic Scene Segmentation with Minimal Labeling Effort F Saleh
The Australian National University, 2020
2020 
Sadegh AliakbarianMicrosoftVahvistettu sähköpostiosoite verkkotunnuksessa microsoft.com
