Publications

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Doctoral Dissertations

3D Reconstruction using Differential Imaging
Shumian Xin
Doctoral dissertation, Tech. Report CMU-RI-TR-22-73, Carnegie Mellon University, December 2022.
Self-Supervising Occlusions for Vision
Dinesh Narapureddy
Doctoral dissertation, Tech. Report CMU-RI-TR-22-72, Carnegie Mellon University, December 2022.
Active Robot Perception using Programmable Light Curtains
Siddhartha Ancha
Doctoral dissertation, Tech. Report CMU-ML-22-104, Carnegie Mellon University, August 2022.
Training Deep Networks with Material-Aware Supervision
Tiancheng Zhi
Doctoral dissertation, Tech. Report CMU-CS-21-138, Carnegie Mellon University, September 2021.
Vision with Small Baselines
Chao Liu
Doctoral dissertation, Tech. Report CMU-RI-TR-20-50, RI, Carnegie Mellon University, August 2020.
Exploiting Point Motion, Shape Deformation, and Semantic Priors for Dynamic 3D Reconstruction in the Wild
Minh P. Vo
Doctoral dissertation, Tech. Report CMU-RI-TR-19-73, RI, Carnegie Mellon University, August 2019.
Light Sheet Depth Imaging
Joe Bartels
Doctoral dissertation, Tech. Report, RI, Carnegie Mellon University, April 2019.
High Resolution 2D Imaging and 3D Scanning with Line Sensors
Jian Wang
Doctoral dissertation, Tech. Report, ECE, Carnegie Mellon University, August 2018.
Active Illumination in the Real World
Supreeth Achar
Doctoral dissertation, Tech. Report, Robotics Institute, Carnegie Mellon University, July, 2017.
Theory and Practice of Globally Optimal Deformation Estimation
Yuandong Tian
Doctoral dissertation, Tech. Report, Robotics Institute, Carnegie Mellon University, Sept, 2013.
Light and Water Drops
Peter Barnum
Doctoral dissertation, Tech. Report, Robotics Institute, Carnegie Mellon University, May, 2011.
Understanding and Recreating Visual Appearance under Natural Illumination
Jean-Francois Lalonde
Doctoral dissertation, Tech. Report, Robotics Institute, Carnegie Mellon University, January, 2011.
Scene Recovery and Rendering Techniques Under Global Light Transport
Mohit Gupta
Doctoral dissertation, Tech. Report, Robotics Institute, Carnegie Mellon University, November, 2010.
3D Reconstruction of Anatomical Structures using Endoscopic Imaging
Chenyu Wu
Doctoral dissertation, Tech. Report, Robotics Institute, Carnegie Mellon University, January, 2010.
Modeling Illumination for Scene Recovery through the Motion, Occlusion and Strobing of Light-Sources
Sanjeev Jagannatha Koppal
Doctoral dissertation, Tech. Report CMU-RI-TR-09-37, Robotics Institute, Carnegie Mellon University, August, 2009.
Models and Algorithms for Vision through the Atmosphere
Srinivasa G. Narasimhan
Doctoral dissertation, Computer Science Department, Columbia University, December, 2003.

Journal Publications

Semantically supervised appearance decomposition for virtual staging from a single panorama
Tiancheng Zhi, Bowei Chen, Ivaylo Boyadzhiev, Sing Bing Kang, Martial Hebert and Srinivasa G. Narasimhan
ACM Transactions on Graphics (SIGGRAPH), 2022.
Overcoming the tradeoff between confinement and focal distance using virtual ultrasonic optical waveguides
Matteo Giuseppe Scopelliti, Hengji Huang, Adithya Pediredla, Srinivasa G Narasimhan, Ioannis Gkioulekas, Maysamreza Chamanzar
Optics Express, Vol. 28, Issue 25, 2020.
Spatiotemporal Bundle Adjustment for Dynamic 3D Human Reconstruction in the Wild
Minh Vo, Yaser Sheikh and Srinivasa G. Narasimhan
IEEE Transactions on Pattern Analysis & Machine Intelligence, 2020.
Self-supervised Multi-view Person Association and Its Applications
Minh Vo, Ersin Yumer, Kalyan Sunkavalli, Sunil Hadap, Yaser Sheikh and Srinivasa G. Narasimhan
IEEE Transactions on Pattern Analysis & Machine Intelligence, 2020.
RANUS: RGB and NIR Urban Scene Dataset for Deep Scene Parsing
Gyeongmin Choe, Seong-Heum Kim, Sunghoon Im, Joon-Young Lee, Srinivasa G. Narasimhan, In So Kweon
IEEE Robotics Automation Letters, Vol. 3, No. 3, 2018.
Epipolar Time of Flight Imaging
Supreeth Achar, Joe Bartels, William "Red" Whittaker, Kiriakos N. Kutulakos and Srinivasa G. Narasimhan
ACM Transactions on Graphics (SIGGRAPH), 2017.
Model Effectiveness Prediction and System Adaptation for Photometric Stereo in Murky Waters
Chourmouzios Tsiotsios, Tae-Kyun Kim, Andrew J. Davison and Srinivasa G. Narasimhan
Computer Vision and Image Understanding, Vol 150, pg. 126-138, September 2016.
Homogeneous Codes for Energy Efficient Illumination and Imaging
Matthew O'Toole, Supreeth Achar, Srinivasa G. Narasimhan and Kiriakos N. Kutulakos
ACM Transactions on Graphics (SIGGRAPH), Vol. 34, Issue 4, 2015.
Best Demo Award ICCP 2015
Best Demo Award CVPR 2015
Theory and Practice of Hierarchical Data Driven Descent for Optimal Deformation Estimation
Yuandong Tian and Srinivasa G. Narasimhan
International Journal of Computer Vision (IJCV), Vol. 115, Issue 1, pg. 44-67, October 2015.
Texture Illumination Separation for Single-shot Structured Light Reconstruction
Minh P. Vo, Srinivasa G. Narasimhan and Yaser Sheikh
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 38, Issue 2, pg. 390-404, June 2015.
Beyond Perspective Dual Photography with Illumination Masks
Sanjeev J. Koppal and Srinivasa G. Narasimhan
IEEE Transactions on Image Processing (TIP), Vol 24, Issue 7, pg. 2083-2097, 2015.
Automated Visual Yield Estimation in Vineyards
Stephen Nuske, Kyle Wilshusen, Supreeth Achar, Luke Yoder, Srinivasa G. Narasimhan and Sanjiv Singh
Journal of Field Robotics, Vol. 31, No. 5, pg. 837-860, Sept/Oct 2014.
Translucent Radiosity: Efficiently combining diffuse inter-reflections and subsurface scattering
Yu Sheng, Yulong Shi, Lili Wang and Srinivasa G. Narasimhan,
IEEE Transactions on Visualization and Computer Graphics, Vol. 20, No. 7, pg. 1009-1021, July 2014.
Non-Polynomial Galerkin Projection on Deformable Meshes
Matt Stanton, Yu Sheng, Martin Wicke, Federico Perazzi, Amos Yuen, Srinivasa G. Narasimhan and Adrien Treuille
ACM Transactions on Graphics (SIGGRAPH), Vol. 29, No. 4, July 2013.
A Practical Approach to 3D Scanning in the Presence of Interreflections, Subsurface Scattering and Defocus
Mohit Gupta, Amit Agrawal, Ashok Veeraraghavan and Srinivasa G. Narasimhan
International Journal of Computer Vision (IJCV), Special Issue on 3D Imaging, Processing and Modeling Techniques, Vol. 102, No. 1-3, March 2013.
Globally Optimal Estimation of Nonrigid Image Distortion
Yuandong Tian and Srinivasa G. Narasimhan
International Journal of Computer Vision (IJCV), Vol. 98, No. 3, July 2012.
A Combined Theory of Defocused Illumination and Global Light Transport
Mohit Gupta, Yuandong Tian, Srinivasa G. Narasimhan and Li Zhang
International Journal of Computer Vision (IJCV), Vol. 98, No. 2, June 2012.
Estimation of natural illumination from a single outdoor image
Jean-Francois Lalonde, Alexei A. Efros, and Srinivasa G. Narasimhan
International Journal of Computer Vision (IJCV), Vol. 98, No. 2, June 2012.
Exploiting DLP Illumination Dithering for Reconstruction and Photography of High-speed Scenes
Sanjeev Jagannatha Koppal, Shuntaro Yamazaki and Srinivasa G. Narasimhan
International Journal of Computer Vision, Vol. 96, No. 1, January 2012.
A Multi-layered Display with Water Drops
Peter C. Barnum, Srinivasa G. Narasimhan and Takeo Kanade
ACM Transactions on Graphics (SIGGRAPH), Vol. 29, No. 4, July 2010.
What Do the Sun and Sky Tell Us About the Camera?
Jean-Francois Lalonde, Srinivasa. G. Narasimhan, and Alexei. A. Efros
International Journal on Computer Vision (IJCV), Vol. 88, No. 1, pg 24-51, May 2010.
Analysis of Rain and Snow in Frequency Space
Peter C. Barnum, Srinivasa G. Narasimhan, and Takeo Kanade
International Journal of Computer Vision (IJCV), Vol. 86, No. 2-3, pg 256-274, 2010.
A Multi-Image Shape-from-Shading Framework for Near-Lighting Perspective Endoscopes
Chenyu Wu, Srinivasa G. Narasimhan, and Branislav Jaramaz
International Journal of Computer Vision (IJCV), Vol. 86, No. 2-3, pg 211-228, 2010.
A Full Geometric and Photometric Calibration Method for Oblique-viewing Endoscope
Chenyu Wu, Branislav Jaramaz and Srinivasa G. Narasimhan
Computer Aided Surgery, Vol 15(1-3), pg 19-31, 2010.
Webcam Clip Art: Appearance and Illuminant Transfer from Time-lapse Sequences
Jean-Francois Lalonde, Alexei A. Efros, and Srinivasa G. Narasimhan
ACM Transactions on Graphics (SIGGRAPH Asia 2009), Vol. 28, No. 5, December, 2009.
Appearance Derivatives for Iso-normal Clustering of Scenes
Sanjeev Jagannatha Koppal and Srinivasa G. Narasimhan
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 31, No. 8, August 2009.
The Theory and Practice of Coplanar Shadowgram Imaging for Acquiring Visual Hulls of Intricate Objects
Shuntaro Yamazaki, Srinivasa G. Narasimhan, Simon Baker and Takeo Kanade
International Journal on Computer Vision (IJCV), Vol. 81, No. 3, pg 259-280, March 2009.
Acquiring Scattering Properties of Participating Media by Dilution
Srinivasa G. Narasimhan, Mohit Gupta, Craig Donner, Ravi Ramamoorthi, Shree Nayar, and Henrik Wann Jensen
ACM Trasactions on Graphics (SIGGRAPH 2006), Vol. 25, No. 3, July, 2006.
A Practical Analytic Single Scattering Model for Real-time Rendering
Bo Sun, Ravi Ramamoorthi, Srinivasa G. Narasimhan, and Shree K. Nayar
ACM Transactions on Graphics (SIGGRAPH), Vol. 24, No. 3, August, 2005.
Enhancing Resolution Along Multiple Imaging Dimensions Using Assorted Pixels
Srinivasa G. Narasimhan and Shree K. Nayar
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 27, No. 4, April 2005, pp. 518 - 530.
Contrast Restoration of Weather Degraded Images
Srinivasa G. Narasimhan and Shree K. Nayar
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 25, No. 6, June 2003, pp. 713 - 724.
Polarization-based vision through haze
Yoav Y. Schechner, Srinivasa G. Narasimhan, and Shree K. Nayar
Applied Optics, Vol. 42, No. 3, January, 2003.
Vision and the Atmosphere
Srinivasa G. Narasimhan and Shree K. Nayar
International Journal of Computer Vision (IJCV), Vol. 48, No. 3, 2002, pp. 233-254.

Conference Publications

Active Velocity Estimation using Light Curtains via Self-Supervised Multi-Armed Bandits
Sidhartha Ancha, Gaurav Pathak, Ji Zhang, Srinivasa G. Narasimhan and David Held
Robotics Science and Systems (RSS), 2023.
Megahertz light steering without moving parts
Adithya Pediredla, Srinivasa Narasimhan, Maysamreza Chamanzar and Ioannis Gkioulekas
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
Learned Two-Plane Perspective Prior based Image Resampling for Efficient Object Detection
Anurag Ghosh, Dinesh Reddy Narapureddy, Christoph Mertz and Srinivasa G. Narasimhan
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
Analyzing Physical Impacts using Transient Surface Wave Imaging
Tianyuan Zhang, Mark Sheinin, Dorian Chan, Mark Rau, Matthew O'Toole and Srinivasa G. Narasimhan
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
Learning Continuous Implicit Representation for Near-Periodic Patterns
Bowei Chen, Tiancheng Zhi, Martial Hebert and Srinivasa G. Narasimhan
European Conference on Computer Vision (ECCV), 2022.
Holocurtains: Programming Light Curtains via Binary Holography
Dorian Chan, Srinivasa G. Narasimhan and Matthew O'Toole,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Dual-Shutter Optical Vibration Sensing
Mark Sheinin, Dorian Chan, Matthew O'Toole and Srinivasa G. Narasimhan,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Best Paper Honorable Mention Award
WALT: Watch and Learn 2D Amodal Representation from Time-Lapse Imagery
Dinesh N. Reddy, Robert Tamburo and Srinivasa G. Narasimhan,
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Active Safety Envelopes using Light Curtains with Probabilistic Guarantees
Siddharth Ancha, Gaurav Pathak, Srinivasa G. Narasimhan and David Held,
Robotics Science and Systems (RSS), 2021.
Exploiting & Refining Depth Distributions with Triangulation Light Curtains
Yaadhav Raaj, Siddharth Ancha, Robert Tamburo, David Held and Srinivasa G. Narasimhan
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
TesseTrack: End-to-End Learnable Multi-Person Articulated 3D Pose Tracking
N Dinesh Reddy, Laurent Guigues, Leonid Pischulini, Jayan Eledath and Srinivasa G. Narasimhan
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
Traffic4D: Single View Longitudinal 4D Reconstruction of Repetitious Activity using Self-Supervised Experts
Fangyu Li, N. Dinesh Reddy, Xudong Chen and Srinivasa G. Narasimhan
IEEE Intelligent Vehicles Symposium (IV), 2021.
Best Paper Award
Deconvolving Diffraction for Fast Imaging of Sparse Scenes
Mark Sheinin, Matthew O'Toole, Srinivasa G. Narasimhan
IEEE International Conference on Computational Photography (ICCP), 2021.
Diffraction Line Imaging
Mark Sheinin, Dinesh Reddy, Matthew O'Toole, and Srinivasa G. Narasimhan
European Conference on Computer Vision (ECCV), 2020.
Active Perception Using Light Curtains for Autonomous Driving
Siddharth Ancha, Yaadhav Raaj, Peiyun Hu, Srinivasa G. Narasimhan, David Held
European Conference on Computer Vision, 2020.
TexMesh: Reconstructing Detailed Human Texture and Geometry from Monocular Video
Tiancheng Zhi, Christoph Lassner, Tony Tung, Carsten Stoll, Srinivasa Narasimhan, and Minh Vo
European Conference on Computer Vision (ECCV), 2020.
4D Visualization of Dynamic Events from Unconstrained Multi-View Videos
Aayush Bansal, Minh Vo, Yaser Sheikh, Deva Ramanan, and Srinivasa G. Narasimhan
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
High Resolution Diffuse Optical Tomography using Short Range Indirect Subsurface Imaging
Chao Liu, Akash Maity, Artur W. Dubrawski, Ashutosh Sabharwal, Srinivasa G. Narasimhan.
IEEE International Conference on Computational Photography (ICCP) 2020
Best Paper Honorable Mention Award
Agile Depth Sensing Using Triangulation Light Curtains
Joseph R. Bartels, Jian Wang, William L. Whittaker, Srinivasa G. Narasimhan
International Conference on Computer Vision (ICCV), 2019.
A Theory of Fermat Paths for Non-Line-of-Sight Shape Reconstruction
Shumian Xin, Sotiris Nousias, Kiriakos N. Kutulakos, Aswin C. Sankaranarayanan, Srinivasa G. Narasimhan, Ioannis Gkioulekas
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
Best Paper Award
Neural RGB->D Sensing: Depth and Uncertainty from a Video Camera
Chao Liu, Jinwei Gu, Kihwan Kim, Srinivasa G. Narasimhan, Jan Kautz
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
Best Paper Finalist
Occlusion-Net: 2D/3D Occluded Keypoint Localization Using Graph Networks
N Dinesh Reddy, Minh Vo, Srinivasa G. Narasimhan
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
Multispectral Imaging for Fine-Grained Recognition of Powders on Complex Backgrounds
Tiancheng Zhi, Bernardo R. Pires, Martial Hebert, Srinivasa G. Narasimhan
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019.
Quantifying the Benefits of Dynamic Partial Reconfiguration for Embedded Vision Applications
Marie Nguyen, Robert Tamburo, Srinivasa Narasimhan and James C. Hoe
IEEE International Symposium on Field-Programmable Logic and Applications (FPL 2019).
Programmable Triangulation Light Curtains
Jian Wang, Joe Bartels, William Whittaker, Aswin C. Sankaranarayanan, Srinivasa G. Narasimhan
European Conference on Computer Vision (ECCV), 2018.
Near-Light Photometric Stereo using Circularly Placed Point Light Sources
Chao Liu, Srinivasa G. Narasimhan and Artur W. Dubrawski
IEEE International Conference on Computational Photography (ICCP), 2018.
Acquiring and Characterizing Plane-to-Ray Indirect Light Transport
Hiroyuki Kubo, Suren Jayasuriya, Takafumi Iwaguchi, Takuya Funatomi, Yasuhiro Mukaigawa and Srinivasa G. Narasimhan
IEEE International Conference on Computational Photography (ICCP), 2018.
CarFusion: Combining Part Detection and Point Tracking for Dynamic 3D Reconstruction of Vehicles
N Dinesh Reddy, Minh Vo, Srinivasa G. Narasimhan
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
Deep Material-aware Cross-spectral Stereo Matching
Tiancheng Zhi, Bernardo R. Pires, Martial Hebert, Srinivasa G. Narasimhan
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
The Geometry of First-Returning Photons for Non-Line-of-Sight Imaging
Chia-Yin Tsai, Kyros Kutulakos, Srinivasa G. Narasimhan, Aswin C. Sankaranarayanan
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
Matting and Depth Recovery of Thin Structures using a Focal Stack
Chao Liu, Srinivasa G. Narasimhan, Artur Dubrawski
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
Dual Structured Light 3D Using a 1D Sensor
Jian Wang, Aswin C. Sankaranarayanan, Mohit Gupta and Srinivasa G. Narasimhan
European Conference on Computer Vision (ECCV), 2016.
Spatiotemporal Bundle Adjustment for Dynamic Scene Reconstruction
Minh P. Vo, Srinivasa G. Narasimhan and Yaser Sheikh
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
Simultaneous Estimation of Near IR BRDF and Surface Detail
Gyeongmin Choe, Srinivasa G. Narasimhan and In-So Kweon
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
Performance Characterization of Reactive Visual Systems
Subhagato Dutta, Abhishek Chugh, Robert Tamburo, Anthony Rowe, and Srinivasa G. Narasimhan
IEEE International Conference on Computational Photography (ICCP), 2015.
Real-time Visual Analysis of Microvascular Blood Flow for Critical Care
Chao Liu, Hernando Gomez, Srinivasa G. Narasimhan, Artur Dubrawski, Michael Pinsky and Brian Zuckerbraun
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
Programmable Automotive Headlights
Robert Tamburo, Eriko Nurvitadhi, Abhishek Chugh, Mei Chen, Anthony Rowe, Takeo Kanade and Srinivasa G. Narasimhan
European Conference of Computer Vision (ECCV), 2014.
Passive Tomography of Turbulence Strength
Marina Alterman, Yoav Schechner, Minh Vo and Srinivasa G. Narasimhan
European Conference of Computer Vision (ECCV), 2014.
Multi-Focus Structured Light for Recovering Scene Shape and Global Illumination
Supreeth Achar and Srinivasa G. Narasimhan
European Conference of Computer Vision (ECCV), 2014.
Hierarchical Data Driven Descent for Efficient Optimal Deformation Estimation
Yuandong Tian and Srinivasa G. Narasimhan
International Conference of Computer Vision (ICCV), 2013.
Marr Prize Honorable Mention Award.
Compensating for Motion During Direct-Global Separation
Supreeth Achar, Steve Nuske and Srinivasa G. Narasimhan
International Conference of Computer Vision (ICCV), 2013.
A Practical Analytic Model for the Radiosity of Translucent Scenes
Yu Sheng, Yulong Shi, Lili Wang and Srinivasa G. Narasimhan
In ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (I3D), 2013.
Best Paper Runner Up Award
Exploring the Spatial Hierarchy of Mixture Models for Human Pose Estimation
Yuandong Tian, Larry Zitnick and Srinivasa G. Narasimhan
In Proc. European Conference on Computer Vision (ECCV), 2012.
Depth from Optical Turbulence
Yuandong Tian, Srinivasa G. Narasimhan and Alan Van Nevel
In Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012.
Modeling and Calibrating Visual Yield Estimates in Vineyards
Stephen Nuske, Kamal Gupta, Srinivasa G. Narasimhan and Sanjiv Singh
International Conference on Field and Service Robotics (FSR), 2012.
Fast Reactive Illumination through Rain and Snow
Raoul de Charette, Robert Tamburo, Peter Barnum, Anthony Rowe, Takeo Kanade and Srinivasa G. Narasimhan
IEEE International Conference on Computational Photography (ICCP), April 2012.
Best Paper Honorable Mention Award
Yield Estimation in Vineyards by Visual Grape Detection
Stephen Nuske, Supreeth Achar, Terry Bates, Srinivasa G. Narasimhan, and Sanjiv Singh
In Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2011.
Rectification and 3D Reconstruction of Curved Document Images
Yuandong Tian and Srinivasa G. Narasimhan
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2011.
Structured Light 3D Scanning under Global Illumination
Mohit Gupta, Amit Agrawal, Ashok Veeraraghavan and Srinivasa G. Narasimhan
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2011.
Flexible Voxels for Motion-Aware Videography
Mohit Gupta, Amit Agrawal, Ashok Veeraraghavan and Srinivasa G. Narasimhan
European Conference on Computer Vision (ECCV), September 2010.
Detecting ground shadows from outdoor consumer photographs
Jean-Francois Lalonde, Alexei. A. Efros and Srinivasa G. Narasimhan
European Conference on Computer Vision (ECCV), September 2010.
A Globally Optimal Data-driven Algorithm for Image Distortion Estimation
Yuandong Tian and Srinivasa G. Narasimhan
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2010.
Optimal Coded Sampling for Temporal Super-Resolution
Amit Agrawal, Mohit Gupta, Ashok Veeraraghavan and Srinivasa G. Narasimhan
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2010.
Estimating Natural Illumination from a Single Outdoor Image
Jean-Francois Lalonde, Alexei A. Efros, and Srinivasa G. Narasimhan
IEEE International Conference on Computer Vision (ICCV), October, 2009.
Seeing through Water: Image Restoration using Model-based Tracking
Yuandong Tian and Srinivasa G. Narasimhan
IEEE International Conference on Computer Vision (ICCV), October, 2009.
Shadow Cameras: Reciprocal Views from Illumination Masks
Sanjeev Jagannatha Koppal and Srinivasa G. Narasimhan
IEEE International Conference on Computer Vision (ICCV), September, 2009.
De-(Focusing) on Global Light Transport for Active Scene Recovery
Mohit Gupta, Yuandong Tian, Srinivasa G. Narasimhan and Li Zhang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009.
Temporal Dithering of Illumination for Fast Active Vision
Srinivasa G. Narasimhan, Sanjeev Jagannatha Koppal, and Shuntaro Yamazaki
European Conference on Computer Vision (ECCV), October, 2008.
On Controlling Light Transport in Poor Visibility Environments
Mohit Gupta, Srinivasa G. Narasimhan, and Yoav Y. Schechner
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.
Shape Reconstruction from Endoscopic Images
Chenyu Wu, Srinivasa G. Narasimhan, and Branislav Jaramaz
8th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery (CAOS' 08), June, 2008.
What does the sky tell us about the camera?
Jean-Francois Lalonde, Srinivasa G. Narasimhan, and Alexei A. Efros
European Conference on Computer Vision (ECCV), 2008.
Coplanar Shadowgrams for Acquiring Visual Hulls of Intricate Objects
Shuntaro Yamazaki, Srinivasa G. Narasimhan, Simon Baker, and Takeo Kanade
IEEE International Conference on Computer Vision (ICCV), October, 2007.
Novel Depth Cues from Uncalibrated Near-field Lighting
Sanjeev Jagannatha Koppal and Srinivasa G. Narasimhan
IEEE International Conference on Computer Vision (ICCV), October, 2007.
Legendre Fluids: A Unified Framework for Analytic Reduced Space Modeling and Rendering of Participating Media
Mohit Gupta and Srinivasa G. Narasimhan
Eurographics/ ACM SIGGRAPH Symposium on Computer Animation (2007), August, 2007.
Clustering Appearance for Scene Analysis
Sanjeev Jagannatha Koppal and Srinivasa G. Narasimhan
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June, 2006, pp. 1323 - 1330.
Structured Light in Scattering Media
Srinivasa G. Narasimhan, Shree K. Nayar, Bo Sun, and Sanjeev Jagannatha Koppal
IEEE International Conference on Computer Vision (ICCV), October, 2005, pp. 420 - 427.
Structured light methods for underwater imaging: light stripe scanning and photometric stereo
Srinivasa G. Narasimhan and Shree K. Nayar
Proceedings of MTS/IEEE OCEANS, September, 2005, pp. 2610 - 2617.
A Class of Photometric Invariants: Separating Material from Shape and Illumination
Srinivasa G. Narasimhan, Visvanathan Ramesh, and Shree K. Nayar
IEEE International Conference on Computer Vision (ICCV), October, 2003, pp. 1387 - 1394.
Shedding Light on the Weather
Srinivasa G. Narasimhan and Shree K. Nayar
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June, 2003, pp. 665 - 672.
Assorted Pixels : Multi-Sampled Imaging With Structural Models
Shree K. Nayar and Srinivasa G. Narasimhan
European Conference on Computer Vision (ECCV), June, 2002.
All the Images of an Outdoor Scene
Srinivasa G. Narasimhan, Chi Wang, and Shree K. Nayar
European Conference on Computer Vision (ECCV), LNCS 2352, 2002, pp. 148-162.
Instant Dehazing of Images Using Polarization
Yoav Y. Schechner, Srinivasa G. Narasimhan, and Shree K. Nayar
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June, 2001, pp. 325 - 332.
Removing Weather Effects from Monochrome Images
Srinivasa G. Narasimhan and Shree K. Nayar
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June, 2001, pp. 186 - 193.
Chromatic Framework for Vision in Bad Weather
Srinivasa G. Narasimhan and Shree K. Nayar
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June, 2000, pp. 598 - 605.
Best Paper Honorable Mention Award
Vision in Bad Weather
Shree K. Nayar and Srinivasa G. Narasimhan
IEEE International Conference on Computer Vision (ICCV), September, 1999, pp. 820 - 827.

Workshop Publications

Separating Texture and Illumination for Single-Shot Structured Light Reconstruction,
Minh P. Vo, Srinivasa G. Narasimhan and Yaser Sheikh
IEEE International Workshop on Computational Cameras and Displays (PROCAMS) in conjunction with CVPR, 2014.
A Low-power Structured Light Sensor for Outdoor scene reconstruction and Dominant material identification
Christoph Mertz, Sanjeev Jagannatha Koppal, Solomon Sia and Srinivasa G. Narasimhan
IEEE Workshop on Projector-Camera Systems (PROCAMS), in conjunction with CVPR, June 2012.
A Projector-Camera System for Creating a Display with Water Drops
Peter C. Barnum, Srinivasa G. Narasimhan and Takeo Kanade
IEEE Workshop on Projector-Camera Systems (PROCAMS), in conjunction with CVPR, June 2009.
Best Paper Award
Illustrating motion through DLP Photography
Sanjeev Jagannatha Koppal and Srinivasa G. Narasimhan
IEEE Workshop on Projector-Camera Systems (PROCAMS), in conjunction with CVPR, June 2009.
Shape-from-Shading under Near Point Lighting and Partial views for Orthopedic Endoscopy
Chenyu Wu, Srinivasa G. Narasimhan, and Branislav Jaramaz
IEEE Workshop on Photometric Analysis For Computer Vision (PACV), in conjunction with ICCV, October, 2007.
Adobe Best Paper Award
Spatio-Temporal Frequency Analysis for Removing Rain and Snow from Videos
Peter Barnum, Takeo Kanade, and Srinivasa G. Narasimhan
IEEE Workshop on Photometric Analysis For Computer Vision (PACV), in conjunction with ICCV, October, 2007.
Interactive Deweathering of an Image using Physical Models
Srinivasa G. Narasimhan and Shree K. Nayar
IEEE Workshop on Color and Photometric Methods in Computer Vision, in Conjunction with ICCV, October, 2003.

Technical Reports

Detailed Derivation of Theory of Hierarchical Data-driven Descent
Yuandong Tian and Srinivasa G. Narasimhan
Tech. report, Robotics Institute, Carnegie Mellon University, December, 2013.
Camera parameters estimation from hand-labelled sun positions in image sequences
Jean-Francois Lalonde, Srinivasa G. Narasimhan, and Alexei A. Efros
Tech. report CMU-RI-TR-08-32, Robotics Institute, Carnegie Mellon University, July, 2008.
On Using Shadowgrams for Visual Hull Reconstruction
Shuntaro Yamazaki, Srinivasa G. Narasimhan, Simon Baker, and Takeo Kanade
Tech. report CMU-RI-TR-07-29, Robotics Institute, Carnegie Mellon University, August, 2007.
Legendre polynomials Triple Product Integral and lower-degree approximation of polynomials using Chebyshev polynomials
Mohit Gupta and Srinivasa G. Narasimhan
Tech. Report CMU-RI-TR-07-22, Robotics Institute, Carnegie Mellon University, May, 2007.
Taylor Series of Appearance Functions
Sanjeev Jagannatha Koppal, Ankur Datta, Srinivasa G. Narasimhan, and Ko Nishino
Tech. Report CMU-RI-TR-08-39, Robotics Institute, Carnegie Mellon University, May, 2006.
Analytic Rendering of Multiple Scattering in Participating Media
Srinivasa G. Narasimhan, Ravi Ramamoorthi and Shree K. Nayar
Columbia University Technical Report 2004.

Patents

Method and Apparatus for Enhancing Data Resolution
Srinivasa G. Narasimhan and Shree K. Nayar
United States Patent 7,149,262, December 12, 2006.
Systems and Methods for Modeling the Impact of a Medium on the Appearances of Encompassed Light Sources
Srinivasa G. Narasimhan and Shree K. Nayar
United States Patent 7,106,327, September 12, 2006.