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Deepak Mishra

Researcher at Indian Institute of Space Science and Technology

Publications -  239
Citations -  3444

Deepak Mishra is an academic researcher from Indian Institute of Space Science and Technology. The author has contributed to research in topics: Convolutional neural network & Deep learning. The author has an hindex of 16, co-authored 217 publications receiving 2520 citations. Previous affiliations of Deepak Mishra include Indian Institute of Technology Kanpur & Indian Institutes of Information Technology.

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Book ChapterDOI

The Visual Object Tracking VOT2016 Challenge Results

Matej Kristan, +140 more
TL;DR: The Visual Object Tracking challenge VOT2016 goes beyond its predecessors by introducing a new semi-automatic ground truth bounding box annotation methodology and extending the evaluation system with the no-reset experiment.
Book ChapterDOI

The sixth visual object tracking VOT2018 challenge results

Matej Kristan, +158 more
TL;DR: The Visual Object Tracking challenge VOT2018 is the sixth annual tracker benchmarking activity organized by the VOT initiative; results of over eighty trackers are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in the recent years.
Proceedings ArticleDOI

The Visual Object Tracking VOT2017 Challenge Results

Matej Kristan, +104 more
TL;DR: The Visual Object Tracking challenge VOT2017 is the fifth annual tracker benchmarking activity organized by the VOT initiative; results of 51 trackers are presented; many are state-of-the-art published at major computer vision conferences or journals in recent years.
Journal ArticleDOI

Exploring the learning capabilities of convolutional neural networks for robust image watermarking

Haribabu Kandi, +2 more
- 01 Mar 2017 - 
TL;DR: A novel learning based auto-encoder Convolutional Neural Network for non-blind watermarking which outperforms the existing frequency domain techniques in terms of imperceptibility and robustness adding new dimension of usage of CNNs towards security.
Journal ArticleDOI

Ultrasound Image Segmentation: A Deeply Supervised Network With Attention to Boundaries

Deepak Mishra, +3 more
- 01 Jun 2019 - 
TL;DR: A fully convolutional neural network with attentional deep supervision for the automatic and accurate segmentation of the ultrasound images with improvement in overall segmentation accuracy is developed.