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Home/Authors/Ashok Veeraraghavan

Ashok Veeraraghavan

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 15, 2026, 7:01 AM AMS

16

papers

459

total citations

papers (16)

WIRE: Wavelet Implicit Neural Representations

How To Train Neural Networks for Flare Removal

PANDORA: Polarization-Aided Neural Decomposition of Radiance

CodedStereo: Learned Phase Masks for Large Depth-of-Field Stereo

ORCa: Glossy Objects As Radiance-Field Cameras

Thermal Spread Functions (TSF): Physics-Guided Material Classification

Role of Transients in Two-Bounce Non-Line-of-Sight Imaging

WaveMo: Learning Wavefront Modulations to See Through Scattering

Passive Snapshot Coded Aperture Dual-Pixel RGB-D Imaging

DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images

3PointTM: Faster Measurement of High-Dimensional Transmission Matrices

MINER: Multiscale Implicit Neural Representation

SACoD: Sensor Algorithm Co-Design Towards Efficient CNN-Powered Intelligent PhlatCam

The Benefit of Distraction: Denoising Camera-Based Physiological Measurements Using Inverse Attention

Learning Phase Mask for Privacy-Preserving Passive Depth Estimation

FreeCam3D: Snapshot Structured Light 3D with Freely-Moving Cameras