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Aswin C Sankaranarayanan

Assistant Professor, ECE
Carnegie Mellon University

mail. 5000 Forbes Ave, Porter B17, Pittsburgh, PA 15213

office. Porter B17
email. saswin -at- andrew .dot. cmu .dot. edu
phone. (412) 268 1087

image science lab @cmu

Our new lab website is at imagesci.ece.cmu.edu.

research

My research deals with understanding the interaction of light with materials, devising theories and imaging architectures to capture these interactions, and finally developing a deeper understanding of the world around us based on these interactions. While these interactions involve very high-dimensional signals, there are underlying structures that enable them to be modeled parsimoniously using low-dimensional models. My research identifies low-dimensional models for high-dimensional visual signals using both physics-based and learning-based formulates, and develop imaging architectures and algorithms that exploit these low-dimensional models for efficient sensing and inference.

compressive sensing and computational photography


Structured light using a 1D sensor
ECCV 2016

Fourier random features and compressive inference
CVPR 2016

Cross-scale predictive dictionaries
ICIP 2016

White balance using flash photography
ICCP 2016

FlatCam: Thin, lensless cameras using coded aperture and computation
ICCVW 2015, TCI 2017

LiSens: Scalable imaging architectures for video CS
ICCP 2015

FPACS: Video CS in short-wave infrared
CVPR 2015

Compressive epsilon photography
SIGGRAPH 2014

Video compressive sensing using spatial multiplexing cameras
ICCP 2012, SIIMS 2015

BlurBurst: Removing blur using multiple images

Compressive acquisition of linear dynamical systems
ECCV 2010, SIIMS 2013

SpaRCS: Compressive sensing of low rank and sparse matrices
NIPS 2011

Flutter shutter video camera for compressive sensing of high-speed videos
ICCP 2012

Compressive sensing for background subtraction
ECCV 2008

shape and reflectance estimation


Shape from two-bounce light paths
ICCP 2016

Small baseline photometric stereo
ICCV 2015

What a single light ray reveals about a transparent object?
ICIP 2015

Shape and spatially-varying reflectance from photometric stereo
ICCP 2015, PAMI 2017

Image invariants for smooth reflective surfaces
ECCV 2012

Specular surface reconstruction from sparse reflection correspondences
CVPR 2012

non-linear signal models


Learning manifolds in the wild
ACHA*

A convex approach for learning near-isometric linear embeddings
TSP 2015

Greedy feature selection for subspace clustering
JMLR 2013

Optical flow-based transport on image manifolds
ACHA 2014

multi-camera systems


Pose-invariant face recognition from multi-view videos
TIP 2014

Joint albedo estimation and pose tracking from video
PAMI 2013

Real time head pose tracking from multiple cameras with a generic model
AMFG 2010

Distributed detection, tracking and recognition using a network of video cameras
PIEEE 2008