Generating and Exploiting Probabilistic Monocular Depth Estimates

Zhihao Xia, Patrick Sullivan, Ayan Chakrabarti

Basis Prediction Networks for Effective Burst Denoising with Large Kernels

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

Protecting Geolocation Privacy of Photo Collections

Jinghan Yang, Ayan Chakrabarti, Yevgeniy Vorobeychik

Fast Deep Stereo with 2D Convolutional Processing of Cost Signatures

Kyle Yee, Ayan Chakrabarti

Identifying Recurring Patterns with Deep Neural Networks for Natural Image Denoising

Zhihao Xia, Ayan Chakrabarti

Training Image Estimators without Image Ground-Truth

Zhihao Xia, Ayan Chakrabarti

Backprop with Approximate Activations for Memory-efficient Network Training

Ayan Chakrabarti, Benjamin Moseley

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

Weidong Cao, Liu Ke, Ayan Chakrabarti, Xuan Zhang

Learning to Separate Multiple Illuminants in a Single Image

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

Jointly Learning to Construct and Control Agents using Deep Re­infor­cement Learning

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

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

Weidong Cao, Xin He, Ayan Chakrabarti, Xuan Zhang

Learning Privacy Preserving Encod­ings through Adv­er­sarial Training

Francesco Pittaluga, Sanjeev J. Koppal, Ayan Chakrabarti

Stabilizing GAN Training with Multiple Random Projections

Behnam Neyshabur, Srinadh Bhojanapalli, Ayan Chakrabarti

Jointly Optimizing Placement and Inference for Beacon-based Localization

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

Examining the Impact of Blur on Recognition by Conv­olut­ional Networks

Igor Vasiljevic, Ayan Chakrabarti, Gregory Shakhnarovich

Learning Sensor Multiplexing Design through Back-propagation

Ayan Chakrabarti

Depth from a Single Image by Harmonizing Overcomplete Local Network Predictions

Ayan Chakrabarti, Jingyu Shao, Gregory Shakhnarovich

Single-image RGB Photometric Stereo With Spatially-varying Albedo

Ayan Chakrabarti, Kalyan Sunkavalli

A Neural Approach to Blind Motion Deblurring

Ayan Chakrabarti

Color Constancy by Learning to Predict Chromaticity from Luminance

Ayan Chakrabarti

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

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

From Shading to Local Shape

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

Modeling Radiometric Uncertainty for Vision with Tone-mapped Color Images

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

Rethinking Color Cameras

Ayan Chakrabarti, William T. Freeman, Todd Zickler

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

Ayan Chakrabarti, Todd Zickler