Ashok Veeraraghavan
29 papers · 2013–2025 · 6 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (12)
🌉
Interdisciplinary Bridge
🌍
Conference Polyglot
(6)
🏃
Academic Marathon
(12)
🔬
Deep Specialist
(11)
🏆
Keyword Champion
(2)
🗃️
Keyword Collector
(109)
🚀
Conference Pioneer
💎
Century Club
(29)
🔥
Unstoppable
(8)
📈
Trend Setter
⚡
Prolific Year
(5)
Conferences
CVPR (11)
ICCV (7)
ECCV (6)
ICML (2)
NIPS (2)
MICCAI (1)
Top co-authors
Research topics
Keywords
image reconstruction
(6)
convolutional neural network
(4)
image restoration
(4)
depth estimation
(3)
non-line-of-sight imaging
(2)
energy efficiency
(2)
model compression
(2)
computational imaging
(2)
image processing
(2)
video processing
(2)
image denoising
(2)
scattering media
(2)
implicit neural representation
(2)
webly supervised learning
(2)
sparse representation
(1)
disparity estimation
(1)
neural network training
(1)
k-means clustering
(1)
compressive sensing
(1)
feature learning
(1)
Papers
Fit Pixels, Get Labels: Meta-Learned Implicit Networks for Image Segmentation
MICCAI 2025
Temporally Consistent Atmospheric Turbulence Mitigation with Neural Representations
NIPS 2024
Learning Transferable Features for Implicit Neural Representations
NIPS 2024
WaveMo: Learning Wavefront Modulations to See Through Scattering
CVPR 2024
Passive Snapshot Coded Aperture Dual-Pixel RGB-D Imaging
CVPR 2024
DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images
ECCV 2024
WIRE: Wavelet Implicit Neural Representations
CVPR 2023
Thermal Spread Functions (TSF): Physics-Guided Material Classification
CVPR 2023
Role of Transients in Two-Bounce Non-Line-of-Sight Imaging
CVPR 2023
ORCa: Glossy Objects As Radiance-Field Cameras
CVPR 2023
PANDORA: Polarization-Aided Neural Decomposition of Radiance
ECCV 2022
MINER: Multiscale Implicit Neural Representation
ECCV 2022
Learning Phase Mask for Privacy-Preserving Passive Depth Estimation
ECCV 2022
CodedStereo: Learned Phase Masks for Large Depth-of-Field Stereo
CVPR 2021
SACoD: Sensor Algorithm Co-Design Towards Efficient CNN-Powered Intelligent PhlatCam
ICCV 2021
How To Train Neural Networks for Flare Removal
ICCV 2021
The Benefit of Distraction: Denoising Camera-Based Physiological Measurements Using Inverse Attention
ICCV 2021
3PointTM: Faster Measurement of High-Dimensional Transmission Matrices
ECCV 2020
FreeCam3D: Snapshot Structured Light 3D with Freely-Moving Cameras
ECCV 2020
Towards Photorealistic Reconstruction of Highly Multiplexed Lensless Images
ICCV 2019
Convolutional Approximations to the General Non-Line-of-Sight Imaging Operator
ICCV 2019
prDeep: Robust Phase Retrieval with a Flexible Deep Network
ICML 2018
Webly Supervised Learning Meets Zero-Shot Learning: A Hybrid Approach for Fine-Grained Classification
CVPR 2018
Learning From Noisy Web Data With Category-Level Supervision
CVPR 2018
Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions
ICML 2018
ASP Vision: Optically Computing the First Layer of Convolutional Neural Networks Using Angle Sensitive Pixels
CVPR 2016
FPA-CS: Focal Plane Array-Based Compressive Imaging in Short-Wave Infrared
CVPR 2015
Depth Selective Camera: A Direct, On-Chip, Programmable Technique for Depth Selectivity in Photography
ICCV 2015
Towards Motion Aware Light Field Video for Dynamic Scenes
ICCV 2013