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Mohammadreza Zolfaghari

University of Freiburg

A Comprehensive Study of Deep Video Action Recognition

Dec 11, 2020
Yi Zhu, Xinyu Li, Chunhui Liu, Mohammadreza Zolfaghari, Yuanjun Xiong, Chongruo Wu, Zhi Zhang, Joseph Tighe, R. Manmatha, Mu Li

* Technical report. Code and model zoo can be found at https://cv.gluon.ai/model_zoo/action_recognition.html 

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COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning

Nov 01, 2020
Simon Ging, Mohammadreza Zolfaghari, Hamed Pirsiavash, Thomas Brox

* 27 pages, 5 figures, 19 tables. To be published in the 34th conference on Neural Information Processing Systems (NeurIPS 2020). The first two authors contributed equally to this work 

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Multi-Variate Temporal GAN for Large Scale Video Generation

Apr 04, 2020
Andres Muñoz, Mohammadreza Zolfaghari, Max Argus, Thomas Brox

* 13 pages, 13 figures 

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Learning Representations for Predicting Future Activities

May 09, 2019
Mohammadreza Zolfaghari, Özgün Çiçek, Syed Mohsin Ali, Farzaneh Mahdisoltani, Can Zhang, Thomas Brox

* 14 pages, ICCV 2019 submission, Code and Models: https://github.com/lmb-freiburg/PreFAct 

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ECO: Efficient Convolutional Network for Online Video Understanding

May 07, 2018
Mohammadreza Zolfaghari, Kamaljeet Singh, Thomas Brox

* Submitted to ECCV 2018. 17 pages, 7 figures, Supplementary Material, https://github.com/mzolfaghari/ECO-efficient-video-understanding 

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Orientation-boosted Voxel Nets for 3D Object Recognition

Oct 19, 2017
Nima Sedaghat, Mohammadreza Zolfaghari, Ehsan Amiri, Thomas Brox

* BMVC'17 version. Added some experiments + auto-alignment of Modelnet40 

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Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection

May 26, 2017
Mohammadreza Zolfaghari, Gabriel L. Oliveira, Nima Sedaghat, Thomas Brox

* 10 pages, 7 figures, ICCV 2017 submission 

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Hybrid Learning of Optical Flow and Next Frame Prediction to Boost Optical Flow in the Wild

Apr 07, 2017
Nima Sedaghat, Mohammadreza Zolfaghari, Thomas Brox


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