Search Results for author: Shohreh Kasaei

Found 19 papers, 2 papers with code

CHASE: Robust Visual Tracking via Cell-Level Differentiable Neural Architecture Search

no code implementations2 Jul 2021 Seyed Mojtaba Marvasti-Zadeh, Javad Khaghani, Li Cheng, Hossein Ghanei-Yakhdan, Shohreh Kasaei

A strong visual object tracker nowadays relies on its well-crafted modules, which typically consist of manually-designed network architectures to deliver high-quality tracking results.

Neural Architecture Search Semantic Segmentation +1

Rate-Distortion Analysis of Minimum Excess Risk in Bayesian Learning

no code implementations10 May 2021 Hassan Hafez-Kolahi, Behrad Moniri, Shohreh Kasaei, Mahdieh Soleymani Baghshah

For the upper bound, the optimization is further constrained to use $R$ bits from the training set, a setting which relates MER to information-theoretic bounds on the generalization gap in frequentist learning.

Generating Unrestricted Adversarial Examples via Three Parameters

no code implementations13 Mar 2021 Hanieh Naderi, Leili Goli, Shohreh Kasaei

It also reduces the model accuracy by an average of 73% on six datasets MNIST, FMNIST, SVHN, CIFAR10, CIFAR100, and ImageNet.

Adversarial Attack

Be Your Own Best Competitor! Multi-Branched Adversarial Knowledge Transfer

no code implementations9 Oct 2020 Mahdi Ghorbani, Fahimeh Fooladgar, Shohreh Kasaei

The proposed method has been devoted to both lightweight image classification and encoder-decoder architectures to boost the performance of small and compact models without incurring extra computational overhead at the inference process.

Image Classification Knowledge Distillation +2

Adaptive Exploitation of Pre-trained Deep Convolutional Neural Networks for Robust Visual Tracking

no code implementations29 Aug 2020 Seyed Mojtaba Marvasti-Zadeh, Hossein Ghanei-Yakhdan, Shohreh Kasaei

Third, the generalization of the proposed method is validated on various tracking datasets as well as CNN models with similar architectures.

Visual Tracking

COMET: Context-Aware IoU-Guided Network for Small Object Tracking

no code implementations4 Jun 2020 Seyed Mojtaba Marvasti-Zadeh, Javad Khaghani, Hossein Ghanei-Yakhdan, Shohreh Kasaei, Li Cheng

To address this problem, we introduce a context-aware IoU-guided tracker (COMET) that exploits a multitask two-stream network and an offline reference proposal generation strategy.

Object Tracking

Effective Fusion of Deep Multitasking Representations for Robust Visual Tracking

no code implementations3 Apr 2020 Seyed Mojtaba Marvasti-Zadeh, Hossein Ghanei-Yakhdan, Shohreh Kasaei, Kamal Nasrollahi, Thomas B. Moeslund

Then, the proposed method extracts deep semantic information from a fully convolutional FEN and fuses it with the best ResNet-based feature maps to strengthen the target representation in the learning process of continuous convolution filters.

Semantic Segmentation Visual Object Tracking +1

Lightweight Residual Densely Connected Convolutional Neural Network

1 code implementation2 Jan 2020 Fahimeh Fooladgar, Shohreh Kasaei

Extremely efficient convolutional neural network architectures are one of the most important requirements for limited-resource devices (such as embedded and mobile devices).

Pointwise Attention-Based Atrous Convolutional Neural Networks

no code implementations27 Dec 2019 Mobina Mahdavi, Fahimeh Fooladgar, Shohreh Kasaei

With the rapid progress of deep convolutional neural networks, in almost all robotic applications, the availability of 3D point clouds improves the accuracy of 3D semantic segmentation methods.

3D Semantic Segmentation

Deep Learning for Visual Tracking: A Comprehensive Survey

1 code implementation2 Dec 2019 Seyed Mojtaba Marvasti-Zadeh, Li Cheng, Hossein Ghanei-Yakhdan, Shohreh Kasaei

Second, popular visual tracking benchmarks and their respective properties are compared, and their evaluation metrics are summarized.

Visual Tracking

Do Compressed Representations Generalize Better?

no code implementations20 Sep 2019 Hassan Hafez-Kolahi, Shohreh Kasaei, Mahdiyeh Soleymani-Baghshah

In this paper, the constraint on the entropy $H(X)$ of the input variable $X$ is studied as a simplicity assumption.

Information Bottleneck and its Applications in Deep Learning

no code implementations7 Apr 2019 Hassan Hafez-Kolahi, Shohreh Kasaei

Information Theory (IT) has been used in Machine Learning (ML) from early days of this field.

A Novel Boundary Matching Algorithm for Video Temporal Error Concealment

no code implementations25 Oct 2016 Seyed Mojtaba Marvasti-Zadeh, Hossein Ghanei-Yakhdan, Shohreh Kasaei

It then uses a classic boundary matching criterion or the proposed boundary matching criterion adaptively to identify matching distortion in each boundary of candidate MB.

A Bayesian Framework for Sparse Representation-Based 3D Human Pose Estimation

no code implementations29 Nov 2014 Behnam Babagholami-Mohamadabadi, Amin Jourabloo, Ali Zarghami, Shohreh Kasaei

Our Bayesian framework estimates a posterior distribution for the sparse codes and the dictionaries from labeled training data.

3D Human Pose Estimation

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