people

Ayan Chakrabarti
Ayan Chakrabarti   [CV]
Director
Assistant Professor, CSE
Zhihao Xia
Zhihao Xia
PhD. Student
(2017-Present)
Former Members & Visitors
Annie Lee
Annie Lee
WashU BSMS CSE, 2020.
Jiahao Li
Jiahao Li
WashU MS CSE, 2020.
Next: TTIC PhD.
Xiaochen Zhou
Xiaochen Zhou
WashU MS CSE, 2020.
Fangying Zhai
Fangying Zhai
WashU MS CSE, 2020.
Patrick Sullivan
Patrick Sullivan
WashU MS CSE, 2017
Next: Boeing
Kyle Yee
Kyle Yee
REU Student WashU
Summer 2018
From UG @ Swarthmore
Zach Tian
Hanlin (Zach) Tian
Visiting Student WashU
Summer 2018
From UG @ Shandong
David Yunis
David Yunis
Visiting Student TTIC
2016-17
From UG @ UChicago
Francesco Pittaluga
Francesco Pittaluga
Visiting Student TTIC
Fall 2016
From PhD @ UFL
Igor Vasiljevic
Igor Vasiljevic
Visiting Student TTIC
2016-17
From MS @ UChicago
Jingyu Shao
Jingyu Shao
Visiting Student TTIC
Summer 2015
After UG @ Tsinghua

research

 

CVPR 2020 (oral)

Generating and Exploiting Probabilistic Monocular Depth Estimates

Zhihao Xia, Patrick Sullivan, Ayan Chakrabarti

 

CVPR 2020

Basis Prediction Networks for Effective Burst Denoising with Large Kernels

Zhihao Xia, Federico Perazzi, Michaƫl Gharbi, Kalyan Sunkavalli, Ayan Chakrabarti

 

AAAI 2020

Protecting Geolocation Privacy of Photo Collections

Jinghan Yang, Ayan Chakrabarti, Yevgeniy Vorobeychik

 

WACV 2020

Fast Deep Stereo with 2D Convolutional Processing of Cost Signatures

Kyle Yee, Ayan Chakrabarti

 

WACV 2020

Identifying Recurring Patterns with Deep Neural Networks for Natural Image Denoising

Zhihao Xia, Ayan Chakrabarti

 

NeurIPS 2019 (spotlight)

Training Image Estimators without Image Ground-Truth

Zhihao Xia, Ayan Chakrabarti

 

NeurIPS 2019

Backprop with Approximate Activations for Memory-efficient Network Training

Ayan Chakrabarti, Benjamin Moseley

 

ICCAD 2019 + TCAD

Neural Network-Inspired Analog-to-Digital Conversion to Achieve Super-Resolution with Low-Precision RRAM Devices

Weidong Cao, Liu Ke, Ayan Chakrabarti, Xuan Zhang

 

CVPR 2019

Learning to Separate Multiple Illuminants in a Single Image

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

 

ICRA 2019

Jointly Learning to Construct and Control Agents using Deep Re­infor­cement Learning

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

 

DATE 2019 + TCAD

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

Weidong Cao, Xin He, Ayan Chakrabarti, Xuan Zhang

 

WACV 2019

Learning Privacy Preserving Encod­ings through Adv­er­sarial Training

Francesco Pittaluga, Sanjeev J. Koppal, Ayan Chakrabarti

 

arXiv 2018

Stabilizing GAN Training with Multiple Random Projections

Behnam Neyshabur, Srinadh Bhojanapalli, Ayan Chakrabarti

 

IROS 2017

Jointly Optimizing Placement and Inference for Beacon-based Localization

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

 

arXiv 2017

Examining the Impact of Blur on Recognition by Conv­olut­ional Networks

Igor Vasiljevic, Ayan Chakrabarti, Gregory Shakhnarovich

 

NeurIPS 2016

Learning Sensor Multiplexing Design through Back-propagation

Ayan Chakrabarti

 

NeurIPS 2016

Depth from a Single Image by Harmonizing Overcomplete Local Network Predictions

Ayan Chakrabarti, Jingyu Shao, Gregory Shakhnarovich

 

3DV 2016 (oral)

Single-image RGB Photometric Stereo With Spatially-varying Albedo

Ayan Chakrabarti, Kalyan Sunkavalli

 

ECCV 2016

A Neural Approach to Blind Motion Deblurring

Ayan Chakrabarti

 

NeurIPS 2015 (spotlight)

Color Constancy by Learning to Predict Chromaticity from Luminance

Ayan Chakrabarti

 

CVPR 2015

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

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

 

PAMI 2015

From Shading to Local Shape

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

 

PAMI 2014

Modeling Radiometric Uncertainty for Vision with Tone-mapped Color Images

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

 

ICCP 2014

Rethinking Color Cameras

Ayan Chakrabarti, William T. Freeman, Todd Zickler

 

ECCV 2012

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

Ayan Chakrabarti, Todd Zickler

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 © 2020, Ayan Chakrabarti.