Ramesh Raskar
32 papers · 2013–2026 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (47) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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(11)
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Renaissance Researcher
(6)
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Century Club Β· Bronze
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Research topics
Computer Vision
(16)
Analysis
(16)
Machine Learning
(11)
Artificial Intelligence
(9)
Application Areas
(6)
Core AI Β· Artificial Intelligence
(6)
Processing
(6)
Deep Learning
(5)
Optimization & Theory
(5)
Learning Paradigms
(4)
Mathematics & Optimization
(3)
Core AI Β· Computer Vision
(3)
Core Methods
(3)
Security & Privacy
(2)
Differential Privacy
(2)
Keywords
depth estimation
(7)
3d reconstruction
(4)
federated learning
(3)
differential privacy
(2)
data valuation
(2)
autonomous vehicle
(2)
sim-to-real transfer
(1)
image retrieval
(1)
conformal prediction
(1)
feature extraction
(1)
structure from motion
(1)
uncertainty quantification
(1)
knowledge representation
(1)
supervised learning
(1)
maximum entropy
(1)
distributed learning
(1)
manifold learning
(1)
expectation maximization
(1)
gradient aggregation
(1)
domain generalization
(1)
Papers
DENALI: A Dataset Enabling Non-Line-of-Sight Spatial Reasoning with Low-Cost LiDARs
CVPR 2026
Task-Driven Implicit Representations for Automated Design of LiDAR Systems
CVPR 2026
Blurred LiDAR for Sharper 3D: Robust Handheld 3D Scanning with Diffuse LiDAR and RGB
CVPR 2025
Co-Dream: Collaborative Dream Synthesis over Decentralized Models
AAAI 2025
Data Acquisition via Experimental Design for Data Markets
NeurIPS 2024
DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images
ECCV 2024
Incentive-Aware Federated Learning with Training-Time Model Rewards
ICLR 2024
PlatoNeRF: 3D Reconstruction in Plato's Cave via Single-View Two-Bounce Lidar
CVPR 2024
"SIMBA: Split Inference - Mechanisms, Benchmarks and Attacks"
ECCV 2024
DISeR: Designing Imaging Systems with Reinforcement Learning
ICCV 2023
Federated Conformal Predictors for Distributed Uncertainty Quantification
ICML 2023
Fundamentals of Task-Agnostic Data Valuation
AAAI 2023
ORCa: Glossy Objects As Radiance-Field Cameras
CVPR 2023
Posthoc privacy guarantees for collaborative inference with modified Propose-Test-Release
NeurIPS 2023
Role of Transients in Two-Bounce Non-Line-of-Sight Imaging
CVPR 2023
Towards Viewpoint Robustness in Bird's Eye View Segmentation
ICCV 2023
Decouple-and-Sample: Protecting Sensitive Information in Task Agnostic Data Release
ECCV 2022
Learning to Censor by Noisy Sampling
ECCV 2022
PrivateMail: Supervised Manifold Learning of Deep Features with Privacy for Image Retrieval
AAAI 2022
Towards Learning Neural Representations from Shadows
ECCV 2022
DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for Deep Neural Networks
CVPR 2021
Objects As Cameras: Estimating High-Frequency Illumination From Shadows
ICCV 2021
Deep Polarization Cues for Transparent Object Segmentation
CVPR 2020
Imaging Behind Occluders Using Two-Bounce Light
ECCV 2020
Maximum-Entropy Fine Grained Classification
NeurIPS 2018
Pairwise Confusion for Fine-Grained Visual Classification
ECCV 2018
Learning Gaze Transitions From Depth to Improve Video Saliency Estimation
ICCV 2017
Macroscopic Interferometry: Rethinking Depth Estimation With Frequency-Domain Time-Of-Flight
CVPR 2016
A Light Transport Model for Mitigating Multipath Interference in Time-of-Flight Sensors
CVPR 2015
Depth Map Estimation and Colorization of Anaglyph Images Using Local Color Prior and Reverse Intensity Distribution
ICCV 2015
Polarized 3D: High-Quality Depth Sensing With Polarization Cues
ICCV 2015
Discovering the Structure of a Planar Mirror System from Multiple Observations of a Single Point
CVPR 2013