Conference, Symposium, and Workshop Papers (by author within year)

2024

• Mitigating Misattributions in Single-Photon Detector Arrays with Row-Column Readouts
  S. Bharadwaj, R. Kitichotkul, A. Agarwal, and V. K. Goyal, Optical Conf. Lasers and Electro-Optics (CLEO) Technical Digest, paper JTh2A.175, May 2024.

2023

• Snapshot Non-Light-of-Sight Imaging with an Active Corner Camera
  S. Seidel, H. Rueda-Chacón, I. Cusini, F. Villa, F. Zappa, C. Yu, and V. K. Goyal, Proc. Optica Computational Optical Sensing and Imaging, paper CTh3A.1, August 2023.

2022

• Absorption-Based Ranging from Ambient Thermal Radiation without Known Emissivities
  U. Dorken Gallastegi, H. Rueda-Chacón, M. J. Stevens, and V. K. Goyal, OSA Conf. Lasers and Electro-Optics (CLEO) Technical Digest, paper STh5J.3, May 2022.
• Double Your Corners, Double Your Fun: The Doorway Camera
  W. Krska, S. W. Seidel, C. Saunders, R. Czajkowski, C. Yu, J. Murray-Bruce, and V. K. Goyal, Proc. IEEE Int. Conf. Computational Photography, August 2022.
• Online Beam Current Estimation in Particle Beam Microscopy Through Time-Resolved Measurement
  S. W. Seidel, L. Watkins, M. Peng, A. Agarwal, C. C. Yu, and V. K. Goyal, Proc. 65th Int. Conf. Electron, Ion, Photon Beam Technologies and Nanofabrication, May-June 2022.

2021

• Convolutional Neural Network Denoising of Focused Ion Beam Micrographs
  M. Peng, M. Cokbas, U. Dorken Gallastegi, P. Ishwar, J. Konrad, B. Kulis, and V. K. Goyal, Proc. IEEE Machine Learning for Signal Processing Workshop, October 2021.
• Fast Computational Periscopy in Challenging Ambient Light Conditions through Optimized Preconditioning
  C. Saunders and V. K. Goyal, Proc. IEEE Int. Conf. Computational Photography, May 2021.
• Edge-Resolved Transient Imaging: Performance Analyses, Optimizations, and Simulations
  C. Saunders, W. Krska, J. Tachella, S. W. Seidel, J. Rapp, J. Murray-Bruce, Y. Altmann, S. McLaughlin, and V. K. Goyal, Proc. IEEE Int. Conf. Image Processing, pp. 2858-2862, September 2021.
• Edge-Resolved Transient Imaging
  C. Saunders, J. Rapp, J. Tachella, J. Murray-Bruce, Y. Altmann, J.-Y. Tourneret, S. McLaughlin, R. M. A. Dawson, F. N. C. Wong, and V. K. Goyal, OSA Conf. Lasers and Electro-Optics (CLEO) Technical Digest, paper JTu3A.96, May 2021.
• Robustness of Time-Resolved Measurement to Unknown and Variable Beam Current in Particle Beam Microscopy
  L. Watkins, S. W. Seidel, M. Peng, A. Agarwal, C. C. Yu, and V. K. Goyal, Proc. IEEE Int. Conf. Image Processing, pp. 3487-3491, September 2021.

2020

• Secondary Electron Count Imaging in a Scanning Electron Microscope
  A. Agarwal, J. Simonaitis, V. K. Goyal, and K. K. Berggren, Bull. Amer. Physical Soc., G10.00003, March 2020.
• Computing Images from Weak Optical Signals
  V. K. Goyal, Proc. IEEE Research and Applications of Photonics in Defense, August 2020.
• Predicting Dead Time Distortion for High-Flux Single-Photon Lidar
  J. Rapp, Y. Ma, R. M. A. Dawson, and V. K. Goyal, OSA Conf. Lasers and Electro-Optics (CLEO) Technical Digest, paper ATu3T.3, May 2020.
• Multi-Depth Computational Periscopy with an Ordinary Camera
  C. Saunders, R. Bose, J. Murray-Bruce, and V. K. Goyal, Proc. IEEE Int. Conf. Acoustics, Speech, & Signal Process., pp. 9299-9303, May 2020.

2019

• Implementing Conditional Re-illumination for Low-Damage Electron Microscopy
  A. Agarwal, J. Simonaitis, N. Abedzadeh, V. K. Goyal, and K. K. Berggren, Q-SORT 2019 Int. Conf. Quantum Imaging and Electron Beam Shaping, pp. 29-31, July 2019.
• Reduced Damage Electron Microscopy with Conditional Sample Re-illumination
  A. Agarwal, Y. van Staaden, V. K. Goyal, and K. K. Berggren, American Physical Society March Meeting, A23.00003, March 2019.
• Occlusion-Based Computational Periscopy with Consumer Cameras
  J. Murray-Bruce, C. Saunders, and V. K. Goyal, Wavelets & Sparsity XVIII, August 2019, Proc. SPIE vol. 11138.
• Dead Time Compensation for High-Flux Depth Imaging
  J. Rapp, Y. Ma, R. M. A. Dawson, and V. K. Goyal, Proc. IEEE Int. Conf. Acoustics, Speech, & Signal Process., pp. 7805-7809, May 2019.
• Markov Chain Modeling for High-Flux Single-Photon Detection with Dead Times
  J. Rapp, Y. Ma, R. M. A. Dawson, and V. K. Goyal, OSA Imaging and Applied Optics Technical Digest, paper MM2D.3, June 2019.
• Computational Periscopy without Time-Resolved Sensing
  C. Saunders, J. Murray-Bruce, and V. K. Goyal, OSA Imaging and Applied Optics Technical Digest, paper CM2A.4, June 2019.
• Corner Occluder Computational Periscopy: Estimating a Hidden Scene from a Single Photograph
  S. W. Seidel, Y. Ma, J. Murray-Bruce, C. Saunders, W. T. Freeman, C. Yu, and V. K. Goyal, Proc. IEEE Int. Conf. Computational Photography, pp. 25-33, May 2019.

2018

• A Numerical Analysis of Interaction-free Measurement With a Shot-Noise-Limited Electron Source and Conditional Sample Re-illumination
  A. Agarwal, V. K. Goyal, and K. K. Berggren, American Physical Society March Meeting, T60.00343, March 2018.
• Optimal Stopping Times for Estimating Bernoulli Parameters with Applications to Active Imaging
  S. C. Medin, J. Murray-Bruce, and V. K. Goyal, Proc. IEEE Int.. Conf. Acoustics, Speech, & Signal Process., pp. 4429-4433, April 2018.
• Source Shot Noise Mitigation in Scanned Beam Microscopy
  M. Peng, J. Murray-Bruce, K. K. Berggren, and V. K. Goyal, Proc. 62nd Int. Conf. Electron, Ion, Photon Beam Technologies and Nanofabrication, May-June 2018.
• Dither-Enhanced Lidar
  J. Rapp, R. M. A. Dawson, and V. K. Goyal, OSA Imaging and Applied Optics Technical Digest, paper JW4A.38, June 2018.
• Improving LIDAR Depth Resolution with Dither
  J. Rapp, R. M. A. Dawson, and V. K. Goyal, Proc. IEEE Int. Conf. Image Process., pp. 1553-1557, October 2018.
  • Best Student Paper Award
• Team Decision Making with Social Learning: Human Subject Experiments
  J. B. Rhim and V. K. Goyal, Proc. IEEE Int.. Conf. Acoustics, Speech, & Signal Process., pp. 6971-6975, April 2018.

2017

• A Few Good Photons: Unmixing to Mitigate High Ambient Light Levels in Active Imaging
  V. K. Goyal, OSA Imaging and Applied Optics Technical Digest, paper MW4C.1, June 2017.
• Photon-Efficient Super-Resolution Laser Radar
  D. Shin, J. H. Shapiro, and V. K. Goyal, Wavelets & Sparsity XVII, August 2017, Proc. SPIE vol. 10394.

2016

• Computational Single-Photon Depth Imaging Without Transverse Regularization
  D. Shin, J. H. Shapiro, and V. K. Goyal, Proc. IEEE Int. Conf. Image Process., pp. 973-977, September 2016.
• Photon-Efficient Computational Imaging with a Single-Photon Camera
  D. Shin, F. Xu, D. Venkatraman, R. Lussana, F. Villa, F. Zappa, V. K. Goyal, F. N. C. Wong, and J. H. Shapiro, OSA Imaging and Applied Optics Technical Digest, paper CW5D.4, July 2016.

2015

• First-Photon Imaging and Few-Photon Imaging
  V. K. Goyal, OSA Imaging and Applied Optics Technical Digest, paper CT3F.1, June 2015.

2014

• Social Learning in Team Decision Making
  J. B. Rhim and V. K. Goyal, Proc. Collective Intelligence (Cambridge, MA), June 2014, paper 113.
• Computational 3D and Reflectivity Imaging with High Photon Efficiency
  D. Shin, A. Kirmani, V. K. Goyal, and J. H. Shapiro, Proc. IEEE Int. Conf. Image Process. (Paris, France), October 2014, pp. 46-50.
  • Winner of the 2014 Best Paper Award

2013

• 3dim: Compact and Low Power Time-of-Flight Sensor for 3D Capture Using Parametric Signal Processing
  A. Colaço, A. Kirmani, N.-W. Gong, T. McGarry, L. Watkins, and V. K. Goyal, Proc. Int. Image Sensor Workshop (Snowbird, UT), June 2013, pp. 349-352.
• Mime: Compact, Low-Power 3D Gesture Sensing for Interaction with Head-Mounted Displays
  A. Colaço, A. Kirmani, H. S. Yang, N.-W. Gong, C. Schmandt, and V. K. Goyal, Proc. 26th ACM Symp. User Interface Software and Technology (UIST) (St. Andrews, UK), October 2013, pp. 227-236.
• High Photon Efficiency Computational Range Imaging using Spatio-Temporal Statistical Regularization
  A. Kirmani, D. Venkatraman, A. Colaço, F. N. C. Wong, and V. K. Goyal, Proc. CLEO (San Jose, CA), June 2013, paper QF1B.2.
• Compact Low-Power 3D Imaging of Simple Planar Scenes Using Parametric Signal Processing
  J. Mei, A. Colaço, A. Kirmani, and V. K. Goyal, Conf. Rec. 47th Asilomar Conf. Signals, Systems, & Computers (Pacific Grove, CA), November 2013.
• Phase Unwrapping and Denoising for Time-of-Flight Imaging Using Generalized Approximate Message Passing
  J. Mei, A. Kirmani, A. Colaço, and V. K. Goyal, Proc. IEEE Int. Conf. Image Process. (Melbourne, Australia), September 2013, pp. 364-368.
• Keep Ballots Secret: On the Futility of Social Learning in Decision Making by Voting
  J. B. Rhim and V. K. Goyal, Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Process. (Vancouver, BC, Canada), May 2013, pp. 4231-4235.
• Social Teaching: Being Informative vs. Being Right in Sequential Decision Making
  J. B. Rhim and V. K. Goyal, Proc. IEEE Int. Symp. Information Theory (Istanbul, Turkey), July 2013, pp. 2602-2606.
• Parametric Poisson Process Imaging
  D. Shin, A. Kirmani, A. Colaço, and V. K. Goyal, Proc. IEEE Global Conf. Signal and Inform. Process. (Austin, TX), December 2013, pp. 1053-1056.
• Low-Rate Poisson Intensity Estimation Using Multiplexed Imaging
  D. Shin, A. Kirmani, and V. K. Goyal, Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Process. (Vancouver, BC, Canada), May 2013, pp. 1364-1368.
• Information in a Photon: Relating Entropy and Maximum-Likelihood Range Estimation Using Single-Photon Counting Detectors
  D. Shin, A. Kirmani, V. K. Goyal, and J. H. Shapiro, Proc. IEEE Int. Conf. Image Process. (Melbourne, Australia), September 2013, pp. 83-87.
• Rate Loss in Distributed Functional Source Coding
  J. Z. Sun and V. K. Goyal, Proc. IEEE Int. Symp. Information Theory (Istanbul, Turkey), July 2013, pp. 2364-2368.

2012

• Compressive Depth Map Acquisition Using a Single Photon-Counting Detector: Parametric Signal Processing Meets Sparsity
  A. Colaço, A. Kirmani, G. A. Howland, J. C. Howell, and V. K. Goyal, Proc. IEEE Conf. Computer Vision and Pattern Recognition (Providence, RI), June 2012, pp. 96-102.
• CoDAC: Compressive Depth Acquisition using a Single Time-resolved Sensor
  A. Colaço, A. Kirmani, F. N. C. Wong, and V. K. Goyal, Proc. ACM SIGGRAPH (Los Angeles, CA), August 2012.
• Time-Stampless Adaptive Nonuniform Sampling for Stochastic Signals
  S. Feizi, V. K. Goyal, and M. Médard, Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Process. (Kyoto, Japan), March 2012, pp. 3809-3812.
• CoDAC: A Compressive Depth Acquisition Camera Framework
  A. Kirmani, A. Colaço, F. N. C. Wong, and V. K. Goyal, Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Process. (Kyoto, Japan), March 2012, pp. 5425-5428.
• CoDAC: Compressive Depth Acquisition using a Single Time-resolved Sensor
  A. Kirmani, A. Colaço, F. N. C. Wong, and V. K. Goyal, OSA Imaging and Applied Optics Technical Digest, paper JW3A.5, June 2012.
• Hybrid Generalized Approximate Message Passing with Applications to Structured Sparsity
  S. Rangan, A. K. Fletcher, V. K. Goyal, and P. Schniter, Proc. IEEE Int. Symp. Information Theory (Cambridge, MA), July 2012, pp. 1241-1245.
• Benefits of Collaboration and Diversity in Teams of Categorically-Thinking Decision Makers
  J. B. Rhim, L. R. Varshney, and V. K. Goyal, Proc. 7th IEEE Sensor Array and Multichannel Signal Processing Workshop (Hoboken, NJ), June 2012, pp. 181-184.
  • 1st Place in Student Paper Contest
• Chatting in Distributed Quantization Networks
  J. Z. Sun and V. K. Goyal, Proc. 50th Ann. Allerton Conf. Communication, Control, and Computing (Monticello, IL), October 2012.
• Dynamic Matrix Factorization: A State Space Approach
  J. Z. Sun, K. R. Varshney, and K. Subbian, Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Process. (Kyoto, Japan), March 2012, pp. 1897-1900.
• Experimental Comparison of SLM-based Traditional and Computational Ghost Imaging with Compressed Sensing
  D. Venkatraman, N. D. Hardy, V. Montazerhodjat, F. N. C. Wong, V. K. Goyal, and J. H. Shapiro, Proc. Conf. Lasers and Electro-Optics (San Jose, CA), May 2012.
• Greater Acceleration through Sparsity-Promoting GRAPPA Kernel Calibration
  D. S. Weller, J. R. Polimeni, L. Grady, L. L. Wald, E. Adalsteinsson, and V. K. Goyal, Proc. Int. Soc. Magnetic Resonance in Medicine Annual Meeting (Melbourne, Australia), May 2012.
• Accelerated Parallel Magnetic Resonance Imaging Reconstruction Using Joint Estimation with a Sparse Signal Model
  D. S. Weller, J. R. Polimeni, L. Grady, L. L. Wald, E. Adalsteinsson, and V. K. Goyal, Proc. IEEE Statistical Signal Process. Workshop (Ann Arbor, MI), August 2012.

2011

• Joint Bayesian Compressed Sensing for Multi-contrast Reconstruction
  B. Belgic, V. K. Goyal, and E. Adalsteinsson, Proc. Int. Soc. Magnetic Resonance in Medicine Annual Meeting (Montreal, Canada), May 2011, p. 71.
• Energy-Efficient Time-Stampless Adaptive Nonuniform Sampling
  S. Feizi, G. Angelopoulos, V. K. Goyal, and M. Médard, Proc. IEEE Sensors Conf. (Baltimore, MD), March 2011.
• Performance Regimes of Uncoded Linear Communications over AWGN Channels
  S. Jakubczak, J. Z. Sun, D. Katabi, and V. K. Goyal, Proc. 45th Ann. Conf. Information Sciences & Systems (Limerick, Ireland), October 2011.
• Message-Passing Estimation from Quantized Samples
  U. Kamilov, V. K. Goyal, and S. Rangan, Proc. 4th Workshop on Signal Process. with Adaptive Sparse Structured Representations (SPARS 2011) (Edinburgh, Scotland, UK), June 2011, p. 58.
• Optimal Quantization for Compressive Sensing under Message Passing Reconstruction
  U. Kamilov, V. K. Goyal, and S. Rangan, Proc. IEEE Int. Symp. Information Theory (St. Petersburg, Russia), July-August 2011, pp. 390-394.
• Generalized Approximate Message Passing Estimation from Quantized Samples
  U. Kamilov, V. K. Goyal, and S. Rangan, Proc. 4th IEEE Int. Workshop on Computational Adv. in Multi-Sensor Adaptive Process. (CAMSAP 2011) (San Juan, Puerto Rico), December 2011, pp. 365-368.
• Diffuse Imaging: Replacing Lenses and Mirrors with Omnitemporal Cameras
  A. Kirmani, H. Jeelani, V. Montazerhodjat, and V. K. Goyal, Wavelets & Sparsity XIV (San Diego, CA), August 2011, Proc. SPIE vol. 8138.
• Malleable Coding with Fixed Segment Reuse
  J. Kusuma, L. R. Varshney, and V. K. Goyal, Proc. IEEE Int. Symp. Information Theory (St. Petersburg, Russia), July-August 2011, pp. 692-696.
• Collaboration in Distributed Hypothesis Testing with Quantized Prior Probabilities
  J. B. Rhim, L. R. Varshney, and V. K. Goyal, Proc. IEEE Data Compression Conf. (Snowbird, UT), March 2011, pp. 303-312.
• Conflict in Distributed Hypothesis Testing with Quantized Prior Probabilities
  J. B. Rhim, L. R. Varshney, and V. K. Goyal, Proc. IEEE Data Compression Conf. (Snowbird, UT), March 2011, pp. 313-322.
• Distributed Decision Making by Categorically-Thinking Agents
  J. B. Rhim, L. R. Varshney, and V. K. Goyal, Proc. NIPS Workshop on Decision Making with Multiple Imperfect Decision Makers (Sierra Nevada, Spain), December 2011.
• Scalar Quantization for Relative Error
  J. Z. Sun and V. K. Goyal, Proc. IEEE Data Compression Conf. (Snowbird, UT), March 2011, pp. 293-302.
  • Winner of the 2011 Capocelli Prize (best student-authored paper)
• Categorical Decision Making by People, Committees, and Crowds
  L. R. Varshney, J. B. Rhim, K. R. Varshney, and V. K. Goyal, Proc. Information Theory and Applications Workshop (La Jolla, CA), February 2011.
• Evaluating Sparsity Penalty Functions for Combined Compressed Sensing and Parallel MRI
  D. S. Weller, J. R. Polimeni, L. Grady, L. L. Wald, E. Adalsteinsson, and V. K. Goyal, Proc. 8th IEEE Int. Symp. Biomedical Imaging: From Nano to Macro (Chicago, IL), March-April 2011, pp. 1589-1592.
  • Student Paper Competition Finalist
• SpRING: Sparse Reconstruction of Images using the Nullspace method and GRAPPA
  D. S. Weller, J. R. Polimeni, L. Grady, L. L. Wald, E. Adalsteinsson, and V. K. Goyal, Proc. Int. Soc. Magentic Resonance in Medicine Annual Meeting (Montreal, Canada), May 2011, p. 2861.
• Combined Compressed Sensing and Parallel MRI Compared for Uniform and Random Cartesian Undersampling of k-Space
  D. S. Weller, J. R. Polimeni, L. Grady, L. L. Wald, E. Adalsteinsson, and V. K. Goyal, Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process. (Prague, Czech Republic), May 2011, pp. 553-556.
• Regularizing GRAPPA Using Simultaneous Sparsity to Recover De-noised Images
  D. S. Weller, J. R. Polimeni, L. Grady, L. L. Wald, E. Adalsteinsson, and V. K. Goyal, Wavelets & Sparsity XIV (San Diego, CA), August 2011, Proc. SPIE vol. 8138.

2010

• Locally Adaptive Sampling
  S. Feizi, V. K. Goyal, and M. Medard, Proc. 48th Ann. Allerton Conf. Communication, Control, and Computing (Monticello, IL), September-October 2010, pp. 152-159.
• Frame Permutation Quantization
  H. Q. Nguyen, V. K. Goyal, and L. R. Varshney, Proc. Conf. Information Sciences & Systems (Princeton, NJ), March 2010.
• Extension of Replica Analysis to MAP Estimation with Applications to Compressed Sensing
  S. Rangan, A. K. Fletcher, and V. K. Goyal, Proc. IEEE Int. Symp. Information Theory (Austin, TX), June 2010, pp. 1543-1547.
• Distributed Inference Networks with Costly Wires
  L. R. Varshney, Proc. Amer. Control Conf. (Baltimore, MD), June-July 2010.
• Combining Nonconvex Compressed Sensing and GRAPPA Using the Nullspace Method
  D. S. Weller, J. R. Polimeni, L. J. Grady, L. L. Wald, E. Adalsteinsson, and V. K. Goyal, Proc. Int. Soc. Magentic Resonance in Medicine Annual Meeting (Stockholm, Sweden), May 2010.

2009

• Orthogonal Matching Pursuit from Noisy Measurements: A New Analysis
  A. K. Fletcher and S. Rangan, Proc. 23rd Ann. Conf. Neural Information Processing Systems (Vancouver, Canada), December 2009.
• A Sparsity Detection Framework for On-Off Random Access Channels
  A. K. Fletcher, S. Rangan, and V. K. Goyal, Proc. IEEE Int. Symp. Information Theory (Seoul, Korea), June-July 2009, pp. 169-173.
  DOI: 10.1109/ISIT.2009.5205769
• A Multi-Sensor Compressed Sensing Receiver: Performance Bounds and Simulated Results
  B. Miller, J. Goodman, K. Forsythe, J. Z. Sun, and V. K. Goyal, Conf. Rec. 43rd Asilomar Conf. Signals, Systems, & Computers (Pacific Grove, CA), November 2009, pp. 1571-1575.
• On Concentric Spherical Codes and Permutation Codes with Multiple Initial Codewords
  H. Q. Nguyen, V. K. Goyal, and L. R. Varshney, Proc. IEEE Int. Symp. Information Theory (Seoul, Korea), June-July 2009, pp. 2038-2042.
  DOI: 10.1109/ISIT.2009.5205511
• Asymptotic Analysis of MAP Estimation via the Replica Method and Compressed Sensing
  S. Rangan, A. K. Fletcher, and V. K. Goyal, Proc. 23rd Ann. Conf. Neural Information Processing Systems (Vancouver, Canada), December 2009.
• Optimal Quantization of Random Measurements in Compressed Sensing
  J. Z. Sun and V. K. Goyal, Proc. IEEE Int. Symp. Information Theory (Seoul, Korea), June-July 2009, pp. 6-10.
  DOI: 10.1109/ISIT.2009.5205695
• Quantization for Compressed Sensing Reconstruction
  J. Z. Sun and V. K. Goyal, Proc. 8th Int. Conf. Sampling Theory and Applications (Marseille, France), May 2009.
• Estimating Signals with Finite Rate of Innovation From Noisy Samples: A Stochastic Algorithm
  V. F. Y. Tan and V. K. Goyal, Proc. 8th Int. Conf. Sampling Theory and Applications (Marseille, France), May 2009.
• Malleable Coding with Edit-Distance Cost
  L. R. Varshney, J. Kusuma, and V. K. Goyal, Proc. IEEE Int. Symp. Information Theory (Seoul, Korea), June-July 2009, pp. 204-208.
  DOI: 10.1109/ISIT.2009.5205494
• Channels That Die
  L. R. Varshney, S. K. Mitter, and V. K. Goyal, Proc. 47th Ann. Allerton Conf. Communication, Control, and Computing (Monticello, IL), September-October 2009.
• Jitter Compensation in Sampling Via Polynomial Least Squares Estimation
  D. S. Weller and V. K. Goyal, Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process. (Taipei, Taiwan), April 2009, pp. 3341-3344.
  DOI: 10.1109/ICASSP.2009.4960340

2008

• Mode Compression of Transmit and Receive Arrays for Parallel Imaging at 7T
  V. Alagappan, K. Setsompop, J. R. Polimeni, A. Potthast, A. C. Zelinski, G. C. Wiggins, U. J. Fontius, F. Schmitt, E. Adalsteinsson, and L. L. Wald, Proc. Int. Soc. Magnetic Resonance in Medicine Annual Meeting (Toronto, Canada), May 2008, p. 619.
• On Subspace Structure in Source and Channel Coding
  A. K. Fletcher, S. Rangan, and V. K. Goyal, Proc. IEEE Int. Symp. Information Theory (Toronto, Canada), July 2008, pp. 1982-1986.
  DOI: 10.1109/ISIT.2008.4595336
• Resolution Limits of Sparse Coding in High Dimensions
  A. K. Fletcher, S. Rangan, and V. K. Goyal, Proc. 22nd Ann. Conf. Neural Information Processing Systems (Vancouver, Canada), December 2008, pp. 449-456.
• Reconstruction of Channelized Facies Using Sparsity Constraints
  B. Jafarpour, V. K. Goyal. and W. T. Freeman, Proc. Soc. Exploration Geophysicists Annual Meeting (Las Vegas, NV), November 2008, pp. 1546-1550.
  DOI: 10.1190/1.3059208
• High-Resolution Distributed Functional Quantization
  V. Misra, V. K. Goyal, and L. R. Varshney, Proc. Information Theory and Applications Workshop (La Jolla, CA), January-February 2008, pp. 531-534.
  DOI: 10.1109/ITA.2008.4601035
• High-Resolution Functional Quantization
  V. Misra, V. K. Goyal, and L. R. Varshney, Proc. IEEE Data Compression Conf. (Snowbird, UT), March 2008, pp. 113-122.
  DOI: 10.1109/DCC.2008.100
• Minimum Mean Bayes Risk Error Quantization of Prior Probabilities
  K. R. Varshney and L. R. Varshney, Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process. (Las Vegas, NV), April 2008, pp. 3445-3448.
  DOI: 10.1109/ICASSP.2008.4518392
• Meeting Shannon: Information-Theoretic Thinking in Engineering and Science
  L. R. Varshney, Proc. IEEE Information Theory Workshop (Porto, Portugal), May 2008, p. 5.
• Transporting Information and Energy Simultaneously
  L. R. Varshney, Proc. IEEE Int. Symp. Information Theory (Toronto, Canada), July 2008, pp. 1612-1616.
  DOI: 10.1109/ISIT.2008.4595260
• Sparsity-Enforced Coil Array Mode Compression for Parallel Transmission
  A. C. Zelinski, V. Alagappan, V. K. Goyal, E. Adalsteinsson, and L. L. Wald, Proc. Int. Soc. Magnetic Resonance in Medicine Annual Meeting (Toronto, Canada), May 2008, p. 1302.
• Specific Absorption Rate Studies of the Parallel Transmission of Inner-Volume Selective Excitations at 7 Tesla
  A. C. Zelinski, L. M. Angelone, V. K. Goyal, G. Bonmassar, E. Adalsteinsson, and L. L. Wald, Proc. Int. Soc. Magnetic Resonance in Medicine Annual Meeting (Toronto, Canada), May 2008, p. 1315.
• Sparsity in MRI RF Excitation Pulse Design
  A. C. Zelinski, V. K. Goyal, E. Adalsteinsson, and L. L. Wald, Proc. Conf. Information Sciences & Systems (Princeton, NJ), March 2008, pp. 252-257.
  DOI: 10.1109/CISS.2008.4558531
• Fast, Accurate Calculation of Maximum Local N-Gram Specific Absorption Rate
  A. C. Zelinski, V. K. Goyal, E. Adalsteinsson, and L. L. Wald, Proc. Int. Soc. Magnetic Resonance in Medicine Annual Meeting (Toronto, Canada), May 2008, p. 1188.
• Sparsity-Enforced Joint Spiral Trajectory & RF Excitation Pulse Design
  A. C. Zelinski, V. K. Goyal, L. L. Wald, and E. Adalsteinsson, Proc. Int. Soc. Magnetic Resonance in Medicine Annual Meeting (Toronto, Canada), May 2008, p. 1303.
• In Vivo B1+ Inhomogeneity Mitigation at 7 Tesla using Sparsity-Enforced Spatially-Tailored Slice-Selective Excitation Pulses
  A. C. Zelinski, K. Setsompop, V. Alagappan, V. K. Goyal, L. L. Wald, and E. Adalsteinsson, Proc. Int. Soc. Magnetic Resonance in Medicine Annual Meeting (Toronto, Canada), May 2008, p. 620.

2007

• A Degenerate Birdcage Coil for Parallel Excitation
  V. Alagappan, J. Nistler, E. Adalsteinsson, K. Setsompop, U. Fontius, A. Zelinski, M. Vester, G. Wiggins, F. Hebrank, W. Renz, F. Schmitt, and L. Wald, Proc. Int. Soc. Magnetic Resonance in Medicine Annual Meeting (Berlin, Germany), May 2007, p. 1028.
• Comparison of Three Transmit Arrays for Parallel Transmit
  V. Alagappan, E. Adalsteinsson, K. Setsompop, U. Fontius, A. Zelinski, G. Wiggins, F. Hebrank, F. Schmitt, and L. Wald, Proc. Int. Soc. Magnetic Resonance in Medicine Annual Meeting (Berlin, Germany), May 2007, p. 165.
• Integer Polar Coordinates for Compression
  D. E. Ba and V. K. Goyal, Proc. IEEE Int. Symp. Information Theory (Nice, France), June 2007, pp. 1116-1120.
• Rate-Distortion Bounds for Sparse Approximation
  A. K. Fletcher, S. Rangan, and V. K. Goyal, Proc. IEEE Statistical Signal Process. Workshop (Madison, WI), August 2007, pp. 254-258.
  DOI: 10.1109/SSP.2007.4301258
• On the Rate-Distortion Performance of Compressed Sensing
  A. K. Fletcher, S. Rangan, and V. K. Goyal, Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Process. (Honolulu, HI), April 2007, vol. III, pp. 885-888.
  DOI: 10.1109/ICASSP.2007.366822
• High Flip Angle Slice Selective Parallel RF Excitation on an 8-Channel System at 3T
  K. Setsompop, A. C. Zelinski, V. A. Alagappan, U. J. Fontius, F. Hebrank, F. Schmitt, L. L. Wald, and E. Adalsteinsson, Proc. Int. Soc. Magnetic Resonance in Medicine Annual Meeting (Berlin, Germany), May 2007.
• In vivo Parallel RF Excitation with B0 Correction
  K. Setsompop, A. C. Zelinski, V. A. Alagappan, J. Nistler, U. J. Fontius, F. Hebrank, F. Schmitt, L. L. Wald, and E. Adalsteinsson, Proc. Int. Soc. Magnetic Resonance in Medicine Annual Meeting (Berlin, Germany), May 2007.
• Sparse Spokes Selective Design for B1 Inhomogeneity Correction at 7T
  K. Setsompop, A. C. Zelinski, V. K. Goyal, L. L. Wald, and E. Adalsteinsson, Proc. Int. Soc. Magnetic Resonance in Medicine Annual Meeting (Berlin, Germany), May 2007.
• Performance of LDPC Codes Under Noisy Message-Passing Decoding
  L. R. Varshney, Proc. IEEE Information Theory Workshop (Lake Tahoe, CA), September 2007, p. 178.
  DOI: 10.1109/ITW.2007.4313070
• On Optimal Information Storage in Synapses
  L. R. Varshney, D. B. Chklovskii, Proc. IEEE Information Theory Workshop (Lake Tahoe, CA), September 2007, p. 408.
  DOI: 10.1109/ITW.2007.4313109
• On Universal Coding of Unordered Data
  L. R. Varshney and V. K. Goyal, Proc. Workshop on Information Theory & Applications (La Jolla, CA), Jan.-Feb. 2007.
  DOI: 10.1109/ITA.2007.4357578
• Designing RF Pulses with Optimal Specific Absorption Rate (SAR) Characteristics and Exploring Excitation Fidelity, SAR and Pulse Duration Tradeoffs
  A. C. Zelinski, V. K. Goyal, L. Angelone, G. Bonmassar, L. L. Wald, and E. Adalsteinsson, Proc. Int. Soc. Magnetic Resonance in Medicine Annual Meeting (Berlin, Germany), May 2007.
• Pulse Design Methods for Reduction of Specific Absorption Rate in Parallel RF Excitation
  A. C. Zelinski, K. Setsompop, V. Alagappan, B. A. Gagoski, L. M. Angelone, G. Bonmassar, U. Fontius, F. Schmitt, E. Adalsteinsson, and L. L. Wald, Proc. Int. Soc. Magnetic Resonance in Medicine Annual Meeting (Berlin, Germany), May 2007.
• Designing Fast 3-D RF Excitations by Optimizing the Number, Placement and Weighting of Spokes in K-Space via a Sparsity-Enforcement Algorithm
  A. C. Zelinski, K. Setsompop, V. K. Goyal, V. Alagappan, U. Fontius, F. Schmitt, L. L. Wald, and E. Adalsteinsson, Proc. Int. Soc. Magnetic Resonance in Medicine Annual Meeting (Berlin, Germany), May 2007.
• RF Pulse Design Methods for Reduction of Image Artifacts in Parallel RF Excitation: Comparison of 3 Techniques on a 3T Parallel Excitation System with 8 Channels
  A. C. Zelinski, L. L. Wald, K. Setsompop, V. Alagappan, B. A. Gagoski, F. Hebrank, U. Fontius, F. Schmitt, and E. Adalsteinsson, Proc. Int. Soc. Magnetic Resonance in Medicine Annual Meeting (Berlin, Germany), May 2007.

2006

• Nonlinear Transform Coding:  Polar Coordinates Revisited
  D. E. Ba and V. K. Goyal, Proc. IEEE Data Compression Conf. (Snowbird, UT), March 2006, p. 438.
  DOI: 10.1109/DCC.2006.55
• Causal and Strictly Causal Estimation for Jump Linear Systems:   An LMI Analysis
  A. K. Fletcher, S. Rangan, V. K. Goyal, and K. Ramchandran, Proc. Conf. Information Sciences & Systems (Princeton, NJ), March 2006, pp. 1302-1307.
  DOI: 10.1109/CISS.2006.286665
• Multichannel Sampling of Parametric Signals with a Successive Approximation Property
  J. Kusuma and V. K. Goyal, Proc. IEEE Int. Conf. on Image Process. (Atlanta, GA), October 2006, pp. 1265-1268.
  DOI: 10.1109/ICIP.2006.312575
• Signal Parameter Estimation in the Presence of Timing Noise
  J. Kusuma and V. K. Goyal, Proc. Conf. Information Sciences & Systems (Princeton, NJ), March 2006, pp. 984-989.
  DOI: 10.1109/CISS.2006.286609
• Toward a Source Coding Theory for Sets
  L. R. Varshney and V. K. Goyal, Proc. IEEE Data Compression Conf. (Snowbird, UT), March 2006.
  DOI: 10.1109/DCC.2006.78
  • Winner of the 2006 Capocelli Prize (best student-authored paper)
• Ordered and Disordered Source Coding
  L. R. Varshney and V. K. Goyal, Proc. Workshop on Information Theory & Its Applications (La Jolla, CA), February 2006.
• Denoising Hyperspectral Imagery and Recovering Junk Bands using Wavelets and Sparse Approximation
  A. C. Zelinski, V. K. Goyal, Proc. IEEE Int. Geoscience and Remote Sensing Symp. (IGARSS) (Denver, CO), August 2006, pp. 387-390.
  DOI: 10.1109/IGARSS.2006.104
  • Finalist in Student Prize Paper Competition

2005

• Sparse Approximation, Denoising, and Large Random Frames
  A. K. Fletcher, S. Rangan, and V. K. Goyal, Proc. Wavelets XI, part of the 2005 SPIE Optics & Photonics (San Diego, CA), July-Aug. 2005, vol. 5914.
  DOI: 10.1117/12.615772
• Analysis of Denoising by Sparse Approximation with Random Frame Asymptotics
  A. K. Fletcher, S. Rangan, V. K. Goyal, and K. Ramchandran, Proc. IEEE Int. Symp. on Information Theory (Adelaide, Australia), September 2005, pp. 1706-1710.
  DOI: 10.1109/ISIT.2005.1523636

2004

• Estimation from Lossy Sensor Data:  Jump Linear Modeling and Kalman Filtering
  A. K. Fletcher, S. Rangan, and V. K. Goyal, Proc. Information Process. in Sensor Networks (Berkeley, CA) April 2004, pp. 251-258.
  DOI: 10.1145/984622.984659
• Robust Predictive Quantization:  A New Analysis and Optimization Framework
  A. K. Fletcher, S. Rangan, V. K. Goyal, and K. Ramchandran, Proc. IEEE Int. Symp. on Information Theory (Chicago, IL), June-July 2004, p. 427.
  DOI: 10.1109/ISIT.2004.1365466
• Optimized Filtering and Reconstruction in Predictive Quantization with Losses
  A. K. Fletcher, S. Rangan, V. K. Goyal, and K. Ramchandran, Proc. IEEE Int. Conf. on Image Process. (Singapore), October 2004, pp. 3245-3248.
  DOI: 10.1109/ICIP.2004.1421805

2003

• Iterative Projective Wavelet Methods for Denoising
  A. K. Fletcher, V. K. Goyal, and K. Ramchandran, Proc. Wavelets X , part of the 2003 SPIE Int. Symp. on Optical Science & Technology (San Diego, CA), August 2003, vol. 5207, pp. 9-15.
  DOI: 10.1117/12.507250
• On Multivariate Estimation by Thresholding
  A. K. Fletcher, V. K. Goyal, and K. Ramchandran, Proc. IEEE Int. Conf. on Image Process. (Barcelona, Spain), September 2003, vol. 1, pp. 61-64.
  DOI: 10.1109/ICIP.2003.1246898

2002

• Wavelet Denoising by Recursive Cycle Spinning
  A. K. Fletcher, K. Ramchandran, and V. K. Goyal, Proc. IEEE Int. Conf. on Image Process. (Rochester, NY), September 2002, vol. 2, pp. 873-876.
  DOI: 10.1109/ICIP.2002.1040090
• Theorems and Counterexamples in Transform Coding
  V. K. Goyal, Proc. DIMACS Workshop on Source Coding and Harmonic Analysis (New Brunswick, NJ), May 2002.
• Wave and Equation Based Rate Control Using Multicast Round Trip Time
  M. Luby, V. K. Goyal, S. Skaria, and G. B. Horn, Proc. ACM SIGCOMM (Pittsburgh, PA), August 2002.
  DOI: 10.1145/964725.633044

2001

• Quantized Oversampled Filter Banks with Erasures
  P. L. Dragotti, J. Kovačević, and V. K. Goyal, Proc. Data Compression Conf. (Snowbird, UT), March 2001, pp. 173-182.
  DOI: 10.1109/DCC.2001.917148
• Optimal Permutation Codes for Uniform Sources
  V. K. Goyal, S. A. Savari, and W. Wang, Proc. IEEE Int. Symp. on Information Theory (Washington, DC), June 2001, p. 30.
  DOI: 10.1109/ISIT.2001.935893
• Bounds on the Achievable Region for Certain Multiple Description Coding Problems
  R. Venkataramani, G. Kramer, and V. K. Goyal, Proc. IEEE Int. Symp. on Information Theory (Washington, DC), June 2001, p. 148.
  DOI: 10.1109/ISIT.2001.936011
• Successive Refinement on Trees: A Special Case of a New MD Coding Region
  R. Venkataramani, G. Kramer, and V. K. Goyal, Proc. Data Compression Conf. (Snowbird, UT), March 2001, pp. 293-301.
  DOI: 10.1109/DCC.2001.917160

2000

• High-Rate Transform Coding: How High is High, and Does it Matter?
  V. K. Goyal, Proc. IEEE Int. Symp. on Information Theory (Sorrento, Italy), June 2000, p. 207.
  DOI: 10.1109/ISIT.2000.866505
• Multiple Description Lattice Vector Quantization: Variations and Extensions
  J. A. Kelner, V. K. Goyal, and J. Kovačević, Proc. Data Compression Conf. (Snowbird, UT), March 2000, pp. 480-489.
  DOI: 10.1109/DCC.2000.838188

1999

• Quantized Frame Expansions as Source-Channel Codes for Erasure Channels
  V. K. Goyal, J. Kovačević, and M. Vetterli, Proc. Data Compression Conf. (Snowbird, UT), March 1999, pp. 326-335.
  DOI: 10.1109/DCC.1999.755682

1998

• Optimal Multiple-Description Transform Coding of Gaussian Vectors
  V. K. Goyal and J. Kovačević, Proc. Data Compression Conf. (Snowbird, UT), March 1998, pp. 388-397.
  DOI: 10.1109/DCC.1998.672173
• Block Transform Adaptation By Stochastic Gradient Descent
  V. K. Goyal and M. Vetterli, Proc. IEEE Digital Signal Process. Workshop (Bryce Canyon, UT), August 1998.
• Multiple Description Transform Coding: Robustness to Erasures Using Tight Frame Expansions
  V. K. Goyal, J. Kovačević, and M. Vetterli, Proc. IEEE Int. Symp. on Information Theory (Cambridge, MA), August 1998, p. 408.
  DOI: 10.1109/ISIT.1998.709013
• Quantized Frame Expansions as Source-Channel Codes for Erasure Channels
  V. K. Goyal, J. Kovačević, and M. Vetterli, Proc. Wavelets & Applications Workshop (Ascona, Switzerland), Sept.-Oct. 1998.
• Multiple Description Transform Coding of Images
  V. K. Goyal, J. Kovačević, R. Arean, and M. Vetterli, Proc. IEEE Int. Conf. on Image Process. (Chicago, IL), October 1998, vol. 1, pp. 674-678.
  DOI: 10.1109/ICIP.1998.723588
• Manipulating Rates, Complexity, and Error-Resilience with Discrete Transforms
  V. K. Goyal and M. Vetterli, Conf. Rec. 32nd Asilomar Conf. on Signals, Systems, & Computers (Pacific Grove, CA), November 1998, vol. 1, pp. 457-461.
  DOI: 10.1109/ACSSC.1998.750905
• Multiple Descriptions: Source-Channel Coding Methods for Communications
  J. Kovačević and V. K. Goyal, Proc. 10th Tyrrhenian Int. Workshop on Digital Communication: Multimedia Communication (Ischia, Italy), September 1998.

1997

• Dependent Coding in Quantized Matching Pursuit
  V. K. Goyal and M. Vetterli, Proc. SPIE Conf. on Visual Communications and Image Process. (San Jose, CA), February 1997, vol. 3024, pt. 1, pp. 2-12.
  DOI: 10.1117/12.263177
• Universal Transform Coding Based On Backward Adaptation
  V. K. Goyal, J. Zhuang, and M. Vetterli, Proc. Data Compression Conf. (Snowbird, UT), March 1997, pp. 231-240.
  DOI: 10.1109/DCC.1997.582046
• Computation-Distortion Characteristics of Block Transform Coding
  V. K. Goyal and M. Vetterli, Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Process. (Munich, Germany), April 1997, vol. 4, pp. 2729-2732.
  DOI: 10.1109/ICASSP.1997.595353
• Computation-Distortion Characteristics of JPEG Encoding and Decoding
  V. K. Goyal and M. Vetterli, Conf. Rec. 31st Asilomar Conf. on Signals, Systems, & Computers (Pacific Grove, CA), November 1997, vol. 1, pp. 229-233.
  DOI: 10.1109/ACSSC.1997.680170

1996

• Consistency in Quantized Matching Pursuit
  V. K. Goyal and M. Vetterli, Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Process. (Atlanta, GA), May 1996, vol. 3, pp. 1787-1790.
  DOI: 10.1109/ICASSP.1996.544213
• Efficient Representations with Quantized Matching Pursuit
  V. K. Goyal, M. Vetterli, and N. T. Thao, Proc. Int. Conf. Analysis & Optimization of Systems: Images, Wavelets & PDEs (Paris, France), June 1996, pp. 305-311.
• Transform Coding using Adaptive Bases and Quantization
  V. K. Goyal, J. Zhuang, M. Vetterli, and C. Chan, Proc. IEEE Int. Conf. Image Process. (Lausanne, Switzerland), September 1996, vol. II, pp. 365-368.
  DOI: 10.1109/ICIP.1996.560834

1995

• Quantization of Overcomplete Expansions
  V. K. Goyal, M. Vetterli, and N. T. Thao, Proc. Data Compression Conf. (Snowbird, UT), March 1995, pp. 13-22.
  DOI: 10.1109/DCC.1995.515491