Hi! I am a fourth-year PhD student at Texas A&M University, advised by Prof. Reza Langari and Prof. Zhengzhong Tu. Previously, I worked with Dr. Shu Kong and Gaurav Pandey. I earned my undergraduate degree in Mechanical Engineering from Politecnico di Torino. My current research is primarily centered on computer vision and language-vision models for self-driving car applications.

🔥 News

  • 2025.06  🎉🎉 Started as AI Engineer intern at Rivian and Volkswagen Company.
  • 2025.05  🎉🎉 Joined the TACO Group under the supervision of Dr. Zhengzhong Tu.
  • 2024.10  🎉🎉 Successfully demonstrated our first remote perception capabilities for the Mcity Demo Project [Link].
  • 2024.07  🎉🎉 Completed approximately 20 miles in autonomous mode under rainy weather conditions during the first AVA project demo on a public road.
  • 2024.06  🎉🎉 SwinMTL paper was accepted to IROS’24 [code].

📝 Publications

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CAST: Contrastive Adaptation and Distillation for Semi-Supervised Instance Segmentation Pardis Taghavi, Tian Liu, Renjie Li, Reza Langari, Zhengzhong Tu

  • CAST is a semi‐supervised knowledge distillation(SSKD) framework that compresses pretrained vision‐foundation models (VFMs) into compact expert networks by leveraging limited labeled data and abundant unlabeled data via stage‐wise fine‐tuning coupled with a contrastive self‐supervised loss.
IROS 2024
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SwinMTL: A Shared Architecture for Simultaneous Depth Estimation and Semantic Segmentation from Monocular Camera Images Pardis Taghavi, Reza Langari, Gaurav Pandey code | arXiv

  • A simple and effective multi-task learning framework that allows concurrent depth estimation and semantic segmentation using a single camera and without compromising computational efficiency.

Projects

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AVA: Autonomous Vehicles for All

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  • Lead of the Perception Team : Developed a perception system tailored for diverse route scenarios, including both urban and rural environments.
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MCITY 2.0 USE CASE AV PERCEPTION

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  • 3D point cloud generation and clustering techniques for improved object detection and scene understanding from a single RGB image.
  • Validated algorithm outputs through simulation and remote operation on a real autonomous test vehicle at MCity 2.0.

🎖 Honors and Awards

  • 2024.06 NSF Subaward for Autonomous Vehicle Perception Testing at MCity.
  • 2021.09 Graduated Summa Cum Laude from Politecnico di Torino University.
  • 2018.09 Won TOPolito Scholarship: Awarded to the top 10 students of the engineering school.

📖 Education

  • 2022.01 - present, PhD Student, Texas A&M University
  • 2018.09 - 2021.09, Bachelor’s Degree, Politecnico di Torino University