research

Fast Deep Stereo with 2D Convolutional Processing of Cost Signatures

arXiv 2019

Kyle Yee, Ayan Chakrabarti

paper   project  

Backprop with Approximate Activations for Memory-efficient Network Training

arXiv 2019

Ayan Chakrabarti, Benjamin Moseley

paper   project  

Learning to Separate Multiple Illuminants in a Single Image

CVPR 2019

Zhuo Hui, Ayan Chakrabarti, Kalyan Sunkavalli, Aswin C. Sankaranarayanan

paper  

Jointly Learning to Construct and Control Agents using Deep Re­infor­cement Learning

ICRA 2019

Charles Schaff, David Yunis, Ayan Chakrabarti, Matthew R. Walter

paper   project  

NeuADC: Neural Network-Inspired RRAM-Based Syn­the­siz­able Analog-to-Digital Conversion with Re­conf­igur­able Quantization Support

DATE 2019

Weidong Cao, Xin He, Ayan Chakrabarti, Xuan Zhang

paper  

Identifying Recurring Patterns with Deep Neural Networks for Natural Image Denoising

arXiv 2018

Zhihao Xia, Ayan Chakrabarti

paper   project  

Learning Privacy Preserving Encodings through Adv­er­sarial Training

WACV 2019

Francesco Pittaluga, Sanjeev J. Koppal, Ayan Chakrabarti

paper  

Stabilizing GAN Training with Multiple Random Projections

arXiv 2017

Behnam Neyshabur, Srinadh Bhojanapalli, Ayan Chakrabarti

paper   project  

Jointly Optimizing Placement and Inference for Beacon-based Localization

IROS 2017

Charles Schaff, David Yunis, Ayan Chakrabarti, Matthew R. Walter

paper   project  

Examining the Impact of Blur on Recognition by Conv­olut­ional Networks

arXiv 2017

Igor Vasiljevic, Ayan Chakrabarti, Gregory Shakhnarovich

paper  

Learning Sensor Multiplexing Design through Back-propagation

NIPS 2016

Ayan Chakrabarti

paper   project  

Depth from a Single Image by Harmonizing Overcomplete Local Network Predictions

NIPS 2016

Ayan Chakrabarti, Jingyu Shao, Gregory Shakhnarovich

paper   project  

Single-image RGB Photometric Stereo With Spatially-varying Albedo

3DV 2016 (oral)

Ayan Chakrabarti, Kalyan Sunkavalli

paper   project  

A Neural Approach to Blind Motion Deblurring

ECCV 2016

Ayan Chakrabarti

paper   project  

Color Constancy by Learning to Predict Chromaticity from Luminance

NIPS 2015 (spotlight)

Ayan Chakrabarti

paper   project  

Low-level Vision by Consensus in a Spatial Hierarchy of Regions

CVPR 2015

Ayan Chakrabarti, Ying Xiong, Steven J. Gortler, Todd Zickler

paper   project  

From Shading to Local Shape

PAMI 2015

Ying Xiong, Ayan Chakrabarti, Ronen Basri, Steven J. Gortler, David W. Jacobs, Todd Zickler

paper   project  

Modeling Radiometric Uncertainty for Vision with Tone-mapped Color Images

PAMI 2014

Ayan Chakrabarti, Ying Xiong, Baochen Sun, Trevor Darrell, Daniel Scharstein, Todd Zickler, Kate Saenko

paper   project  

Rethinking Color Cameras

ICCP 2014

Ayan Chakrabarti, William T. Freeman, Todd Zickler

paper   project  

Depth and Deblurring from a Spectrally-varying Depth-of-Field

ECCV 2012

Ayan Chakrabarti, Todd Zickler

paper   project   video  

Color Constancy with Spatio-Spectral Statistics

PAMI 2012

Ayan Chakrabarti, Keigo Hirakawa, Todd Zickler

paper   project  

Statistics of Real-World Hyperspectral Images

CVPR 2011

Ayan Chakrabarti, Todd Zickler

paper   project  

Learning Object Color Models from Multi-view Constraints

CVPR 2011

Trevor Owens, Kate Saenko, Ayan Chakrabarti, Ying Xiong, Todd Zickler, Trevor Darrell

paper  

Analyzing Spatially-varying Blur

CVPR 2010

Ayan Chakrabarti, Todd Zickler, William T. Freeman

paper   project  

An Empirical Camera Model for Internet Color Vision

BMVC 2009

Ayan Chakrabarti, Daniel Scharstein, Todd Zickler

paper   project  

Color Constancy Beyond Bags of Pixels

CVPR 2008

Ayan Chakrabarti, Keigo Hirakawa, Todd Zickler

paper  

Effective Separation of Sparse and Non-sparse Image Features for Denoising

ICASSP 2008

Ayan Chakrabarti, Keigo Hirakawa

paper  

Super-Resolution of Face Images Using Kernel PCA-Based Prior

IEEE Transactions on Multimedia 2007

Ayan Chakrabarti, A.N. Rajagopalan, Rama Chellappa

paper  

Visual Inference with Statistical Models for Color and Texture

Ph.D. Dissertation, Harvard University, 2011

Ayan Chakrabarti

pdf  

people

Ayan Chakrabarti
Ayan Chakrabarti   [CV]
Director
Assistant Professor, CSE
Zhihao Xia
Zhihao Xia
PhD. Student
(2017-Present)
Former Members & Visitors
Kyle Yee
Kyle Yee
REU Student
(Summer 2018)
UG @ Swarthmore
Zach Tian
Hanlin (Zach) Tian
Visiting Student
(Summer 2018)
UG @ Shandong Univ.
Patrick Sullivan
Patrick Sullivan
MS CS, WashU 2017
David Yunis
David Yunis
Visiting Student TTIC
(2016-17)
UG @ UChicago
Francesco Pittaluga
Francesco Pittaluga
Visiting Student TTIC
(Fall 2016)
PhD. Student @ UFL
Igor Vasiljevic
Igor Vasiljevic
Visiting Student TTIC
(2016-17)
Next: PhD. Student, TTIC
Jingyu Shao
Jingyu Shao
Visiting Student TTIC
(Summer 2015)
Next: MS Stats, UCLA

Contact

Prof. Ayan Chakrabarti
Computer Science & Engineering
Washington University in St. Louis
1 Brookings Dr. CB #1045
St. Louis, MO 63130

Office: Jolley Hall 205
Copyright © 2019, Ayan Chakrabarti.