Maryam Babaee

Publication Activity (10 Years)

Years Active: 2016-2019
Publications (10 Years): 14

Top Topics

Convolutional Neural Networks

Gait Recognition

Negative Matrix Factorization

Top Venues

Publications

Okan Köpüklü, Maryam Babaee, Stefan Hörmann, Gerhard Rigoll
Convolutional Neural Networks with Layer Reuse. CoRR (2019)
Okan Köpüklü, Maryam Babaee, Stefan Hörmann, Gerhard Rigoll
Convolutional Neural Networks with Layer Reuse. ICIP (2019)
Stefan Hörmann, Martin Knoche, Maryam Babaee, Okan Köpüklü, Gerhard Rigoll
Outlier-Robust Neural Aggregation Network for Video Face Identification. ICIP (2019)
Maryam Babaee, Yue Zhu, Okan Köpüklü, Stefan Hörmann, Gerhard Rigoll
Gait Energy Image Restoration Using Generative Adversarial Networks. ICIP (2019)
Maryam Babaee, Linwei Li, Gerhard Rigoll
Person identification from partial gait cycle using fully convolutional neural networks. Neurocomputing 338 (2019)
Maryam Babaee, Zimu Li, Gerhard Rigoll
A dual CNN-RNN for multiple people tracking. Neurocomputing 368 (2019)
Maryam Babaee, Zimu Li, Gerhard Rigoll
Occlusion Handling in Tracking Multiple People Using RNN. ICIP (2018)
Maryam Babaee, Ali Athar, Gerhard Rigoll
Multiple People Tracking Using Hierarchical Deep Tracklet Re-identification. CoRR (2018)
Maryam Babaee, Linwei Li, Gerhard Rigoll
Person Identification from Partial Gait Cycle Using Fully Convolutional Neural Network. CoRR (2018)
Maryam Babaee, Linwei Li, Gerhard Rigoll
Gait Recognition from Incomplete Gait Cycle. ICIP (2018)
Maryam Babaee, Linwei Li, Gerhard Rigoll
Gait Energy Image Reconstruction from Degraded Gait Cycle Using Deep Learning. ECCV Workshops (4) (2018)
Maryam Babaee, Gerhard Rigoll, Mohammadreza Babaee
Joint tracking and gait recognition of multiple people in video. ICIP (2017)
Maryam Babaee, Gerhard Rigoll
View-Invariant Gait Representation Using Joint Bayesian Regularized Non-negative Matrix Factorization. ICCV Workshops (2017)
Mohammadreza Babaee, Stefanos Tsoukalas, Maryam Babaee, Gerhard Rigoll, Mihai Datcu
Discriminative Nonnegative Matrix Factorization for dimensionality reduction. Neurocomputing 173 (2016)