| Deep complex networks C Trabelsi, O Bilaniuk, Y Zhang, D Serdyuk, S Subramanian, JF Santos, ... International Conference on Learning Representations (ICLR'2018), 2017 | 113 | 2017 |
| Realtime video classification using dense hof/hog JRR Uijlings, IC Duta, N Rostamzadeh, N Sebe Proceedings of international conference on multimedia retrieval, 145, 2014 | 45 | 2014 |
| Time matters!: capturing variation in time in video using fisher kernels I Mironica, J Uijlings, N Rostamzadeh, B Ionescu, N Sebe Proceedings of the 21st ACM international conference on multimedia, 701-704, 2013 | 22 | 2013 |
| Where are the blobs: Counting by localization with point supervision IH Laradji, N Rostamzadeh, PO Pinheiro, D Vazquez, M Schmidt Proceedings of the European Conference on Computer Vision (ECCV), 547-562, 2018 | 20 | 2018 |
| Daily living activities recognition via efficient high and low level cues combination and fisher kernel representation N Rostamzadeh, G Zen, I Mironică, J Uijlings, N Sebe International Conference on Image Analysis and Processing, 431-441, 2013 | 18 | 2013 |
| Deep prior A Lacoste, T Boquet, N Rostamzadeh, B Oreshkin, W Chung, D Krueger Advances in Neural Information Processing Systems (NIPS'17) Bayesian Deep …, 2017 | 15* | 2017 |
| Fashion-Gen: The Generative Fashion Dataset and Challenge N Rostamzadeh, S Hosseini, T Boquet, W Stokowiec, Y Zhang, C Jauvin, ... ICML workshop, 2018 | 12 | 2018 |
| Hierarchical Adversarially Learned Inference MI Belghazi, S Rajeswar, O Mastropietro, N Rostamzadeh, J Mitrovic, ... ICML workshop, 2018 | 10 | 2018 |
| It's all about habits: Exploiting multi-task clustering for activities of daily living analysis Y Yan, E Ricci, N Rostamzadeh, N Sebe Image Processing (ICIP), 2014 IEEE International Conference on, 1071-1075, 2014 | 7 | 2014 |
| A multi-task learning framework for time-continuous emotion estimation from crowd annotations MK Abadi, A Abad, R Subramanian, N Rostamzadeh, E Ricci, ... Proceedings of the 2014 International ACM Workshop on Crowdsourcing for …, 2014 | 6 | 2014 |
| Enhanced semantic descriptors for functional scene categorization G Zen, N Rostamzadeh, J Staiano, E Ricci, N Sebe Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 6 | 2012 |
| Cluster Encoding for Modelling Temporal Variation in Video N Rostamzadeh, J Uijlings, I Mironica, MK Abadi, B Ionescu, N Sebe ICIP, 2015 | 4 | 2015 |
| Adaptive Cross-Modal Few-Shot Learning C Xing, N Rostamzadeh, BN Oreshkin, PO Pinheiro Advances in Neural Information Processing Systems 2019 (NeurIPS'19), 2019 | 3 | 2019 |
| Adversarial framing for image and video classification M Zajac, K Zołna, N Rostamzadeh, PO Pinheiro Proceedings of the AAAI Conference on Artificial Intelligence 33, 10077-10078, 2019 | 2 | 2019 |
| Reinforced Imitation in Heterogeneous Action Space K Zolna, N Rostamzadeh, Y Bengio, S Ahn, PO Pinheiro arXiv preprint arXiv:1904.03438, 2019 | 2 | 2019 |
| Instance Segmentation with Point Supervision IH Laradji, N Rostamzadeh, PO Pinheiro, D Vazquez, M Schmidt arXiv preprint arXiv:1906.06392, 2019 | 1 | 2019 |
| Action recognition using accelerated local descriptors and temporal variation N Rostamzadeh, J Uijlings, N Sebe THUMOS: ICCV Workshop on Action Recognition with a Large Number of Classes 7, 2013 | 1 | 2013 |
| Neural Multisensory Scene Inference JH Lim, P O. Pinheiro, N Rostamzadeh, C Pal, S Ahn Advances in Neural Information Processing Systems (NeurIPS'19), 2019 | | 2019 |
| Retrieving Signals with Deep Complex Extractors C Trabelsi, O Bilaniuk, O Dia, Y Zhang, M Ravanelli, J Binas, ... Advances in Neural Information Processing Systems (NeurIPS'19) Deep Inverse …, 2019 | | 2019 |
| Fine-grained zero-shot recognition with metric rescaling B N. Oreshkin, N Rostamzadeh, P Pinheiro, C Pal arXiv preprint arXiv:1906.11892, 2019 | | 2019 |
Chris PalProfessor, Polytechnique Montréal & Mila, Element AI, Canada CIFAR AI ChairVerified email at polymtl.ca
