1 citations · 1 across the 3 of their papers we have counts for
4 papers
A Consistency-Based Loss for Deep Odometry Through Uncertainty Propagation
Hamed Damirchi, Rooholla Khorrambakht, Hamid D. Taghirad +1
The incremental poses computed through odometry can be integrated over time to calculate the pose of a device with respect to an initial location. The resulting global pose may be…
Deep Inertial Odometry with Accurate IMU Preintegration
Rooholla Khorrambakht, Chris Xiaoxuan Lu, Hamed Damirchi +2
Inertial Measurement Units (IMUs) are interceptive modalities that provide ego-motion measurements independent of the environmental factors. They are widely adopted in various auto…
Exploring Self-Attention for Visual Odometry
Hamed Damirchi, Rooholla Khorrambakht, Hamid D. Taghirad
Visual odometry networks commonly use pretrained optical flow networks in order to derive the ego-motion between consecutive frames. The features extracted by these networks repres…
ARC-Net: Activity Recognition Through Capsules
Hamed Damirchi, Rooholla Khorrambakht, Hamid Taghirad
Human Activity Recognition (HAR) is a challenging problem that needs advanced solutions than using handcrafted features to achieve a desirable performance. Deep learning has been p…