1 code implementation • 2 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.
1 code implementation • 24 Oct 2023 • Rudraksh Kapil, Seyed Mojtaba Marvasti-Zadeh, Nadir Erbilgin, Nilanjan Ray
Accurate detection of individual tree crowns from remote sensing data poses a significant challenge due to the dense nature of forest canopy and the presence of diverse environmental variations, e. g., overlapping canopies, occlusions, and varying lighting conditions.
1 code implementation • 2 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.
1 code implementation • 15 Jul 2022 • Rudraksh Kapil, Seyed Mojtaba Marvasti-Zadeh, Devin Goodsman, Nilanjan Ray, Nadir Erbilgin
Bark beetle outbreaks can dramatically impact forest ecosystems and services around the world.
no code implementations • 25 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.
no code implementations • 3 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.
no code implementations • 6 Apr 2020 • Seyed Mojtaba Marvasti-Zadeh, Hossein Ghanei-Yakhdan, Shohreh Kasaei
In recent years, visual tracking methods that are based on discriminative correlation filters (DCF) have been very promising.
no code implementations • 6 Apr 2020 • Seyed Mojtaba Marvasti-Zadeh, Hossein Ghanei-Yakhdan, Shohreh Kasaei
In recent years, the background-aware correlation filters have achie-ved a lot of research interest in the visual target tracking.
no code implementations • 4 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.
no code implementations • 29 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.
no code implementations • 10 Jul 2022 • Seyed Mojtaba Marvasti-Zadeh, Mohammad N. S. Jahromi, Javad Khaghani, Devin Goodsman, Nilanjan Ray, Nadir Erbilgin
In nature, the collective behavior of animals, such as flying birds is dominated by the interactions between individuals of the same species.
no code implementations • 7 Oct 2022 • Seyed Mojtaba Marvasti-Zadeh, Devin Goodsman, Nilanjan Ray, Nadir Erbilgin
This paper provides a comprehensive review of past and current advances in the early detection of bark beetle-induced tree mortality from three primary perspectives: bark beetle & host interactions, RS, and ML/DL.
no code implementations • 23 Nov 2022 • Seyed Mojtaba Marvasti-Zadeh, Devin Goodsman, Nilanjan Ray, Nadir Erbilgin
Visual explanation of ``black-box'' models allows researchers in explainable artificial intelligence (XAI) to interpret the model's decisions in a human-understandable manner.
Explainable artificial intelligence Explainable Artificial Intelligence (XAI)
no code implementations • 25 Jul 2023 • Seyed Mojtaba Marvasti-Zadeh, Nilanjan Ray, Nadir Erbilgin
Extensive experiments demonstrate the superior performance of our approach over state-of-the-art SSOD methods.