Saif Iftekar Sayed

According to our database, Saif Iftekar Sayed authored at least 9 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A New Dataset and Approach for Timestamp Supervised Action Segmentation Using Human Object Interaction.

Saif Iftekar Sayed, Reza Ghoddoosian, Bhaskar Trivedi, Vassilis Athitsos

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Hierarchical Modeling for Task Recognition and Action Segmentation in Weakly-Labeled Instructional Videos.

Reza Ghoddoosian, Saif Iftekar Sayed, Vassilis Athitsos

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2021

Deep Feature Tracker: A Novel Application for Deep Convolutional Neural Networks.

Mostafa Parchami, Saif Iftekar Sayed

CoRR, 2021

Action Duration Prediction for Segment-Level Alignment of Weakly-Labeled Videos.

Reza Ghoddoosian, Saif Iftekar Sayed, Vassilis Athitsos

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Cross Your Body: a Cognitive Assessment System for Children.

Saif Iftekar Sayed, Vassilis Athitsos

Proceedings of the Advances in Visual Computing - 16th International Symposium, 2021

2019

Cognitive assessment in children through motion capture and computer vision: the cross-your-body task.

Saif Iftekar Sayed, Konstantinos Tsiakas, Morris Bell, Vassilis Athitsos, Fillia Makedon

Proceedings of the 6th international Workshop on Sensor-based Activity Recognition and Interaction, 2019

2018

Kinematic Estimation with Neural Networks for Robotic Manipulators.

Michail Theofanidis, Saif Iftekar Sayed, Joe Cloud, James Brady, Fillia Makedon

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

2017

VARM: Using Virtual Reality to Program Robotic Manipulators.

Michail Theofanidis, Saif Iftekar Sayed, Alexandros Lioulemes, Fillia Makedon

Proceedings of the 10th International Conference on PErvasive Technologies Related to Assistive Environments, 2017

Using deep autoencoders to learn robust domain-invariant representations for still-to-video face recognition.

Mostafa Parchami, Saman Bashbaghi, Eric Granger, Saif Iftekar Sayed

Proceedings of the 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2017