Search Results for author: Mehdi Noroozi

Found 10 papers, 3 papers with code

Taylor Swift: Taylor Driven Temporal Modeling for Swift Future Frame Prediction

no code implementations27 Oct 2021 Mohammad Saber Pourheydari, Mohsen Fayyaz, Emad Bahrami, Mehdi Noroozi, Juergen Gall

While recurrent neural networks (RNNs) demonstrate outstanding capabilities in future video frame prediction, they model dynamics in a discrete time space and sequentially go through all frames until the desired future temporal step is reached.

Long Short View Feature Decomposition via Contrastive Video Representation Learning

no code implementations ICCV 2021 Nadine Behrmann, Mohsen Fayyaz, Juergen Gall, Mehdi Noroozi

We argue that a single representation to capture both types of features is sub-optimal, and propose to decompose the representation space into stationary and non-stationary features via contrastive learning from long and short views, i. e. long video sequences and their shorter sub-sequences.

Action Recognition Action Segmentation +2

Self-labeled Conditional GANs

no code implementations3 Dec 2020 Mehdi Noroozi

This paper introduces a novel and fully unsupervised framework for conditional GAN training in which labels are automatically obtained from data.

3D CNNs with Adaptive Temporal Feature Resolutions

1 code implementation CVPR 2021 Mohsen Fayyaz, Emad Bahrami, Ali Diba, Mehdi Noroozi, Ehsan Adeli, Luc van Gool, Juergen Gall

While the GFLOPs of a 3D CNN can be decreased by reducing the temporal feature resolution within the network, there is no setting that is optimal for all input clips.

Action Recognition

Boosting Self-Supervised Learning via Knowledge Transfer

no code implementations CVPR 2018 Mehdi Noroozi, Ananth Vinjimoor, Paolo Favaro, Hamed Pirsiavash

We use this framework to design a novel self-supervised task, which achieves state-of-the-art performance on the common benchmarks in PASCAL VOC 2007, ILSVRC12 and Places by a significant margin.

Fine-tuning Object Detection +2

Reflection Separation and Deblurring of Plenoptic Images

no code implementations22 Aug 2017 Paramanand Chandramouli, Mehdi Noroozi, Paolo Favaro

In this paper, we address the problem of reflection removal and deblurring from a single image captured by a plenoptic camera.

Deblurring Depth Estimation +1

Motion Deblurring in the Wild

no code implementations5 Jan 2017 Mehdi Noroozi, Paramanand Chandramouli, Paolo Favaro

The task of image deblurring is a very ill-posed problem as both the image and the blur are unknown.

Deblurring Image Deblurring

Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles

6 code implementations30 Mar 2016 Mehdi Noroozi, Paolo Favaro

By following the principles of self-supervision, we build a convolutional neural network (CNN) that can be trained to solve Jigsaw puzzles as a pretext task, which requires no manual labeling, and then later repurposed to solve object classification and detection.

Object Classification Representation Learning +1

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