WELCOME TO OLESKIW LAB

Advancing intelligent perception at the University of Regina. We specialize in computer vision, machine learning, and scene understanding to solve real-world challenges.

ABOUT US

Our lab focuses on deep learning for image analysis, visual tracking, and object detection, building algorithms that enhance the accuracy and efficiency of these tasks. Through extensive research and experimentation, we have developed innovative techniques that allow for real-time processing and analysis of visual data, enabling advanced applications in various fields.

RESEARCH

  • Visual Perception & Deep Learning
    • Application of CNNs and transformers for image classification
    • Challenges in data efficiency and interpretability
  • 3D Scene Understanding
    • SLAM systems, depth estimation, semantic mapping
    • Use in autonomous robotics
  • Human-AI Interaction
    • Gaze tracking, gesture recognition, wearable vision systems
    • Ongoing collaboration with HCI researchers

PUBLICATIONS

2025

Forward and backward masking of naturalistic texture
L Palmieri, TD Oleskiw, JA Movshon
Journal of Vision 25 (9), 2839-2839

Foundations of visual form selectivity in macaque areas V1 and V2
TD Oleskiw, JD Lieber, EP Simoncelli, JA Movshon
bioRxiv, 2024.03. 04.583307

View More

PROJECTS

  • Project Title: Smart Urban Vision
  • Duration: Jan 2023 – Dec 2025
  • Team: Dr. Smith, 2 PhD students
  • Funding: NSERC Discovery Grant
  • Overview: Enhancing pedestrian and traffic recognition in variable weather conditions

NEWS & EVENTS

  • Blog Posts:
    • May 2025: Our team presented three papers at CVPR!
    • Feb 2025: New collaboration with XYZ Robotics launched.
  • Event Listings:
    • Upcoming: Seminar on Vision Transformers – July 18, 2025
    • Past: Lab Retreat & Workshop – March 2025

CONTACT US

  • Lab Location:
    Vision Laboratory, Dept. of Computer Science U of R
  • Email:
    General inquiries: oleskiw(at)uregina(dot)ca

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