Ayan Chakrabarti

research

∙ 07/10/2023

Substance or Style: What Does Your Image Embedding Know?

Probes are small networks that predict properties of underlying data fro...

0 Cyrus Rashtchian, et al. ∙

research

∙ 01/30/2023

Benchmarking Robustness to Adversarial Image Obfuscations

Automated content filtering and moderation is an important tool that all...

0 Florian Stimberg, et al. ∙

research

∙ 07/31/2022

Adaptive Edge Offloading for Image Classification Under Rate Limit

This paper considers a setting where embedded devices are used to acquir...

0 JiaMing Qiu, et al. ∙

research

∙ 10/21/2021

PROVES: Establishing Image Provenance using Semantic Signatures

Modern AI tools, such as generative adversarial networks, have transform...

0 Mingyang Xie, et al. ∙

research

∙ 03/26/2021

Understanding Robustness of Transformers for Image Classification

Deep Convolutional Neural Networks (CNNs) have long been the architectur...

0 Srinadh Bhojanapalli, et al. ∙

research

∙ 12/09/2020

Deep Denoising of Flash and No-Flash Pairs for Photography in Low-Light Environments

We introduce a neural network-based method to denoise pairs of images ta...

1 Zhihao Xia, et al. ∙

research

∙ 10/26/2020

Real-Time Edge Classification: Optimal Offloading under Token Bucket Constraints

To deploy machine learning-based algorithms for real-time applications w...

0 Ayan Chakrabarti, et al. ∙

research

∙ 10/17/2020

Finding Physical Adversarial Examples for Autonomous Driving with Fast and Differentiable Image Compositing

There is considerable evidence that deep neural networks are vulnerable ...

0 Jinghan Yang, et al. ∙

research

∙ 03/21/2020

A MEMS-based Foveating LIDAR to enable Real-time Adaptive Depth Sensing

Most active depth sensors sample their visual field using a fixed patter...

8 Francesco Pittaluga, et al. ∙

research

∙ 12/09/2019

Basis Prediction Networks for Effective Burst Denoising with Large Kernels

Bursts of images exhibit significant self-similarity across both time an...

7 Zhihao Xia, et al. ∙

research

∙ 12/04/2019

Protecting Geolocation Privacy of Photo Collections

People increasingly share personal information, including their photos a...

6 Jinghan Yang, et al. ∙

research

∙ 11/28/2019

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

Recent works propose neural network- (NN-) inspired analog-to-digital co...

0 Weidong Cao, et al. ∙

research

∙ 06/13/2019

Training Image Estimators without Image Ground-Truth

Deep neural networks have been very successful in image estimation appli...

7 Zhihao Xia, et al. ∙

research

∙ 06/13/2019

Generating and Exploiting Probabilistic Monocular Depth Estimates

Despite the remarkable success of modern monocular depth estimation meth...

5 Zhihao Xia, et al. ∙

research

∙ 03/08/2019

Fast Deep Stereo with 2D Convolutional Processing of Cost Signatures

Modern neural network-based algorithms are able to produce highly accura...

0 Kyle Yee, et al. ∙

research

∙ 01/23/2019

Backprop with Approximate Activations for Memory-efficient Network Training

Larger and deeper neural network architectures deliver improved accuracy...

0 Ayan Chakrabarti, et al. ∙

research

∙ 11/29/2018

Learning to Separate Multiple Illuminants in a Single Image

We present a method to separate a single image captured under two illumi...

4 Zhuo Hui, et al. ∙

research

∙ 06/13/2018

Identifying Recurring Patterns with Deep Neural Networks for Natural Image Denoising

While there is a vast diversity in the patterns and textures that occur ...

4 Zhihao Xia, et al. ∙

research

∙ 02/14/2018

Learning Privacy Preserving Encodings through Adversarial Training

We present a framework to learn privacy-preserving encodings of images (...

0 Francesco Pittaluga, et al. ∙

research

∙ 01/04/2018

Jointly Learning to Construct and Control Agents using Deep Reinforcement Learning

The physical design of a robot and the policy that controls its motion a...

0 Charles Schaff, et al. ∙

research

∙ 05/22/2017

Stabilizing GAN Training with Multiple Random Projections

Training generative adversarial networks is unstable in high-dimensions ...

0 Behnam Neyshabur, et al. ∙

research

∙ 11/17/2016

Examining the Impact of Blur on Recognition by Convolutional Networks

State-of-the-art algorithms for many semantic visual tasks are based on ...

0 Igor Vasiljevic, et al. ∙

research

∙ 09/14/2016

Single-image RGB Photometric Stereo With Spatially-varying Albedo

We present a single-shot system to recover surface geometry of objects w...

0 Ayan Chakrabarti, et al. ∙

research

∙ 05/23/2016

Depth from a Single Image by Harmonizing Overcomplete Local Network Predictions

A single color image can contain many cues informative towards different...

0 Ayan Chakrabarti, et al. ∙

research

∙ 05/23/2016

Learning Sensor Multiplexing Design through Back-propagation

Recent progress on many imaging and vision tasks has been driven by the ...

0 Ayan Chakrabarti, et al. ∙

research

∙ 03/15/2016

A Neural Approach to Blind Motion Deblurring

We present a new method for blind motion deblurring that uses a neural n...

0 Ayan Chakrabarti, et al. ∙

research

∙ 06/06/2015

Color Constancy by Learning to Predict Chromaticity from Luminance

Color constancy is the recovery of true surface color from observed colo...

0 Ayan Chakrabarti, et al. ∙

research

∙ 11/18/2014

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

We introduce a multi-scale framework for low-level vision, where the goa...

0 Ayan Chakrabarti, et al. ∙

research

∙ 11/27/2013

Modeling Radiometric Uncertainty for Vision with Tone-mapped Color Images

To produce images that are suitable for display, tone-mapping is widely ...

0 Ayan Chakrabarti, et al. ∙

research

∙ 10/10/2013

From Shading to Local Shape

We develop a framework for extracting a concise representation of the sh...

0 Ying Xiong, et al. ∙

research

∙ 04/13/2012

Image Restoration with Signal-dependent Camera Noise

This article describes a fast iterative algorithm for image denoising an...

0 Ayan Chakrabarti, et al. ∙

Ayan Chakrabarti

Featured Co-authors