ARC-Net: Activity Recognition Through Capsules. - Hamed Damirchi; Rooholla Khorrambakht; Hamid D. Taghirad (ICMLA, 2020)

Preintegrated IMU Features For Efficient Deep Inertial Odometry. - Rooholla Khorrambakht; Hamed Damirchi; Hamid D. Taghirad (CoRR, 2020)

Exploring Self-Attention for Visual Odometry. - Hamed Damirchi; Rooholla Khorrambakht; Hamid D. Taghirad (CoRR, 2020)

Deep Inertial Odometry with Accurate IMU Preintegration. - Rooholla Khorrambakht; Chris Xiaoxuan Lu; Hamed Damirchi; Zhenghua Chen; Zhengguo Li (CoRR, 2021)

A Consistency-Based Loss for Deep Odometry Through Uncertainty Propagation. - Hamed Damirchi; Rooholla Khorrambakht; Hamid D. Taghirad; Behzad Moshiri (ICRA, 2023)

Graph-Based Visual-Kinematic Fusion and Monte Carlo Initialization for Fast-Deployable Cable-Driven Robots. - Rooholla Khorrambakht; Hamed Damirchi; M. R. Dindarloo; A. Saki; S. A. Khalilpour; Hamid D. Taghirad; Stephan Weiss 002 (IROS, 2023)

Independent Modular Networks. - Hamed Damirchi; Forest Agostinelli; Pooyan Jamshidi (CoRR, 2023)

Zero-shot Retrieval: Augmenting Pre-trained Models with Search Engines. - Hamed Damirchi; Cristian Rodriguez Opazo; Ehsan Abbasnejad; Damien Teney; Javen Qinfeng Shi; Stephen Gould; Anton van den Hengel (CoRR, 2023)

Unveiling Backbone Effects in CLIP: Exploring Representational Synergies and Variances. - Cristian Rodriguez Opazo; Edison Marrese-Taylor; Ehsan Abbasnejad; Hamed Damirchi; Ignacio M. De La Jara; Felipe Bravo-Marquez; Anton van den Hengel (CoRR, 2023)

Action Capsules: Human skeleton action recognition. - Ali Farajzadeh Bavil; Hamed Damirchi; Hamid D. Taghirad (Comput. Vis. Image Underst., 2023)

Synergy and Diversity in CLIP: Enhancing Performance Through Adaptive Backbone Ensembling. - Cristian Rodriguez Opazo; Ehsan Abbasnejad; Damien Teney; Hamed Damirchi; Edison Marrese-Taylor; Anton van den Hengel (ICLR, 2025)