Search Results for author: Seyed Mojtaba Marvasti-Zadeh

Found 8 papers, 1 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

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

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

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.

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