Farshad Safavi

According to our database, Farshad Safavi authored at least 10 papers between 2021 and 2025.

Collaborative distances:

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

2025

Deep Fusion of Neurophysiological and Facial Features for Enhanced Emotion Detection.

Farshad Safavi, Vikas Reddy Venkannagari, Dev Parikh, Ramana Kumar Vinjamuri

IEEE Access, 2025

2024

Emerging Frontiers in Human-Robot Interaction.

Farshad Safavi, Parthan Olikkal, Dingyi Pei, Sadia Kamal, Helen Meyerson, Varsha Penumalee, Ramana Vinjamuri

J. Intell. Robotic Syst., June, 2024

Reg-Tune: A Regression-Focused Fine-Tuning Approach for Profiling Low Energy Consumption and Latency.

Arnab Neelim Mazumder, Farshad Safavi, Maryam Rahnemoonfar, Tinoosh Mohsenin

ACM Trans. Embed. Comput. Syst., May, 2024

Transformer-Based Emotion Recognition with EEG.

Kulin Patel, Farshad Safavi, Rajarathnam Chandramouli, Ramana Vinjamuri

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

Deep Multimodal Emotion Recognition: Fusion of Facial Features and Neurophysiological Signals.

Farshad Safavi, Vikas Reddy Venkannagari, Ramana Kumar Vinjamuri

Proceedings of the 20th IEEE International Conference on Body Sensor Networks, 2024

2023

Comparative Study of Real-Time Semantic Segmentation Networks in Aerial Images During Flooding Events.

Farshad Safavi, Maryam Rahnemoonfar

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Efficient Large-Scale Damage Assessment After Natural Disasters With UAVS and Deep Learning.

Maryam Rahnemoonfar, Farshad Safavi

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Towards Efficient Deep Learning Models for Facial Expression Recognition using Transformers.

Farshad Safavi, Kulin Patel, Ramana Kumar Vinjamuri

Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023

2022

Efficient Semantic Segmentation on Edge Devices.

Farshad Safavi, Irfan Ali, Venkatesh Dasari, Guanqun Song, Ting Zhu

CoRR, 2022

2021

Comparative Study Between Real-Time and Non-Real-Time Segmentation Models on Flooding Events.

Farshad Safavi, Tashnim Chowdhury, Maryam Rahnemoonfar

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021