Faheem Nizar

ORCID: 0009-0000-9494-3971
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About
Contact & Profiles
Research Areas
  • Industrial Vision Systems and Defect Detection
  • Advanced Vision and Imaging
  • CCD and CMOS Imaging Sensors
  • Visual Attention and Saliency Detection
  • Generative Adversarial Networks and Image Synthesis
  • Computer Graphics and Visualization Techniques

Indian Institute of Technology Kanpur
2024-2025

Ubiquitous applications of Deep neural networks (DNNs) in different artificial intelligence systems have led to their adoption solving challenging visualization problems recent years. While sophisticated DNNs offer an impressive generalization, it is imperative comprehend the quality, confidence, robustness, and uncertainty associated with prediction. A thorough understanding these quantities produces actionable insights that help application scientists make informed decisions....

10.1109/tvcg.2024.3406959 article EN IEEE Transactions on Visualization and Computer Graphics 2024-01-01

Ubiquitous applications of Deep neural networks (DNNs) in different artificial intelligence systems have led to their adoption solving challenging visualization problems recent years. While sophisticated DNNs offer an impressive generalization, it is imperative comprehend the quality, confidence, robustness, and uncertainty associated with prediction. A thorough understanding these quantities produces actionable insights that help application scientists make informed decisions....

10.48550/arxiv.2406.18545 preprint EN arXiv (Cornell University) 2024-05-22
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