# WaveX: Frequency-Domain Explainability of CNNs

> Explaining what a CNN sees one frequency band at a time, in the Fourier and wavelet domains.

- Year: 2026
- Period: January–May 2026
- Type: research
- Stack: Integrated Gradients, Grad-CAM, Wavelets, Fourier analysis
- Guide: Prof. Amit Sethi, IIT Bombay

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- Frequency-aware Integrated Gradients in the Fourier and wavelet domains.
  Fourier-filtered baselines, and subband interpolation with IDWT
  reconstruction, isolate which spatial-frequency bands carry a class's
  attribution.
- Activation-matching masks trained with a Grad-CAM-guided loss, giving compact
  explanations that preserve the class.
- Extended that mask optimisation to polar-frequency Fourier masks and
  level-wise wavelet masks.