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Conference on Computer Vision and Pattern Recognition (CVPR 2024)

IEEE/CVF

Robotics and AI   -   Conference, Workshop, Courses

Time: From June 17, 2024 to June 21, 2024

Event Location: United States of America     (Seattle WA)


Key Points:

The premier annual computer vision event

Comprising the main conference and several co-located workshops and short course

Provides an exceptional value for students, academics and industry researchers

Event Description and Details

Papers in the main technical program must describe high-quality, original research. Topics of interest include all aspects of computer vision and pattern recognition including, but not limited to:

  • 3D from multi-view and sensors  
  • 3D from single images  
  • Adversarial attack and defense
  • Autonomous driving
  • Biometrics  
  • Computational imaging  
  • Computer vision for social good  
  • Computer vision theory  
  • Datasets and evaluation  
  • Deep learning architectures and techniques  
  • Document analysis and understanding  
  • Efficient and scalable vision  
  • Embodied vision: Active agents, simulation
  • Explainable computer vision  
  • Humans: Face, body, pose, gesture,
  • movement
  • Image and video synthesis and generation  
  • Low-level vision  
  • Machine learning (other than deep learning)
  • Medical and biological vision, cell microscopy 
  • Multimodal learning
  • Optimization methods (other than deep
  • learning)
  • Photogrammetry and remote sensing  
  • Physics-based vision and shape-from-X  
  • Recognition: Categorization, detection,
  • retrieval  
  • Representation learning  
  • Robotics  
  • Scene analysis and understanding  
  • Segmentation, grouping and shape analysis  
  • Self-& semi-& meta-& unsupervised learning
  • Transfer/ low-shot/ continual/ long-tail
  • learning  
  • Transparency, fairness, accountability, privacy
  • and ethics in vision  
  • Video: Action and event understanding 
  • Video: Low-level analysis, motion, and
  • tracking  
  • Vision + graphics  
  • Vision, language, and reasoning  
  • Vision applications and systems

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