Ayan Chakrabarti

According to our database, Ayan Chakrabarti authored at least 59 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

A Little Help Goes a Long Way: Efficient LLM Training by Leveraging Small LMs.

Ankit Singh Rawat, Veeranjaneyulu Sadhanala, Afshin Rostamizadeh, Ayan Chakrabarti, Wittawat Jitkrittum, Vladimir Feinberg, Seungyeon Kim, Hrayr Harutyunyan, Nikunj Saunshi, Zachary Nado, Rakesh Shivanna, Sashank J. Reddi, Aditya Krishna Menon, Rohan Anil, Sanjiv Kumar

CoRR, 2024

SpacTor-T5: Pre-training T5 Models with Span Corruption and Replaced Token Detection.

Ke Ye, Heinrich Jiang, Afshin Rostamizadeh, Ayan Chakrabarti, Giulia DeSalvo, Jean-François Kagy, Lazaros Karydas, Gui Citovsky, Sanjiv Kumar

CoRR, 2024

Rethinking FID: Towards a Better Evaluation Metric for Image Generation.

Sadeep Jayasumana, Srikumar Ramalingam, Andreas Veit, Daniel Glasner, Ayan Chakrabarti, Sanjiv Kumar

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

MarkovGen: Structured Prediction for Efficient Text-to-Image Generation.

Sadeep Jayasumana, Daniel Glasner, Srikumar Ramalingam, Andreas Veit, Ayan Chakrabarti, Sanjiv Kumar

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Tree Recovery by Dynamic Programming.

Gustavo Gratacós, Ayan Chakrabarti, Tao Ju

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

SPEGTI: Structured Prediction for Efficient Generative Text-to-Image Models.

Sadeep Jayasumana, Daniel Glasner, Srikumar Ramalingam, Andreas Veit, Ayan Chakrabarti, Sanjiv Kumar

CoRR, 2023

Substance or Style: What Does Your Image Embedding Know?

Cyrus Rashtchian, Charles Herrmann, Chun-Sung Ferng, Ayan Chakrabarti, Dilip Krishnan, Deqing Sun, Da-Cheng Juan, Andrew Tomkins

CoRR, 2023

Benchmarking Robustness to Adversarial Image Obfuscations.

Florian Stimberg, Ayan Chakrabarti, Chun-Ta Lu, Hussein Hazimeh, Otilia Stretcu, Wei Qiao, Yintao Liu, Merve Kaya, Cyrus Rashtchian, Ariel Fuxman, Mehmet Tek, Sven Gowal

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

LeCA: In-Sensor Learned Compressive Acquisition for Efficient Machine Vision on the Edge.

Tianrui Ma, Adith Jagadish Boloor, Xiangxing Yang, Weidong Cao, Patrick Williams, Nan Sun, Ayan Chakrabarti, Xuan Zhang

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

2022

Adaptive Edge Offloading for Image Classification Under Rate Limit.

Jiaming Qiu, Ruiqi Wang, Ayan Chakrabarti, Roch Guérin, Chenyang Lu

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

PROVES: Establishing Image Provenance using Semantic Signatures.

Mingyang Xie, Manav Kulshrestha, Shaojie Wang, Jinghan Yang, Ayan Chakrabarti, Ning Zhang, Yevgeniy Vorobeychik

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Adversarial Robustness of Deep Sensor Fusion Models.

Shaojie Wang, Tong Wu, Ayan Chakrabarti, Yevgeniy Vorobeychik

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

HOGEye: Neural Approximation of HOG Feature Extraction in RRAM-Based 3D-Stacked Image Sensors.

Tianrui Ma, Weidong Cao, Fei Qiao, Ayan Chakrabarti, Xuan Zhang

Proceedings of the ISLPED '22: ACM/IEEE International Symposium on Low Power Electronics and Design, Boston, MA, USA, August 1, 2022

2021

Evaluating Neural Network-Inspired Analog-to-Digital Conversion With Low-Precision RRAM.

Weidong Cao, Liu Ke, Ayan Chakrabarti, Xuan Zhang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021

Leveraging redundancy in attention with Reuse Transformers.

Srinadh Bhojanapalli, Ayan Chakrabarti, Andreas Veit, Michal Lukasik, Himanshu Jain, Frederick Liu, Yin-Wen Chang, Sanjiv Kumar

CoRR, 2021

Eigen Analysis of Self-Attention and its Reconstruction from Partial Computation.

Srinadh Bhojanapalli, Ayan Chakrabarti, Himanshu Jain, Sanjiv Kumar, Michal Lukasik, Andreas Veit

CoRR, 2021

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

Ayan Chakrabarti, Roch Guérin, Chenyang Lu, Jiangnan Liu

Proceedings of the 6th IEEE/ACM Symposium on Edge Computing, 2021

Can Optical Trojans Assist Adversarial Perturbations?

Adith Boloor, Tong Wu, Patrick Naughton, Ayan Chakrabarti, Xuan Zhang, Yevgeniy Vorobeychik

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Understanding Robustness of Transformers for Image Classification.

Srinadh Bhojanapalli, Ayan Chakrabarti, Daniel Glasner, Daliang Li, Thomas Unterthiner, Andreas Veit

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

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

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

NeuADC: Neural Network-Inspired Synthesizable Analog-to-Digital Conversion.

Weidong Cao, Xin He, Ayan Chakrabarti, Xuan Zhang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

Guest Editors' Introduction to the Special Section on Computational Photography.

Ayan Chakrabarti, Kalyan Sunkavalli, David A. Forsyth

IEEE Trans. Pattern Anal. Mach. Intell., 2020

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

Jinghan Yang, Adith Boloor, Ayan Chakrabarti, Xuan Zhang, Yevgeniy Vorobeychik

CoRR, 2020

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

Francesco Pittaluga, Zaid Tasneem, Justin Folden, Brevin Tilmon, Ayan Chakrabarti, Sanjeev J. Koppal

CoRR, 2020

Fast Deep Stereo with 2D Convolutional Processing of Cost Signatures.

Kyle Yee, Ayan Chakrabarti

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Identifying Recurring Patterns with Deep Neural Networks for Natural Image Denoising.

Zhihao Xia, Ayan Chakrabarti

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Generating and Exploiting Probabilistic Monocular Depth Estimates.

Zhihao Xia, Patrick Sullivan, Ayan Chakrabarti

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Basis Prediction Networks for Effective Burst Denoising With Large Kernels.

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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Protecting Geolocation Privacy of Photo Collections.

Jinghan Yang, Ayan Chakrabarti, Yevgeniy Vorobeychik

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Towards a MEMS-based Adaptive LIDAR.

Francesco Pittaluga, Zaid Tasneem, Justin Folden, Brevin Tilmon, Ayan Chakrabarti, Sanjeev J. Koppal

Proceedings of the 8th International Conference on 3D Vision, 2020

2019

Learning Privacy Preserving Encodings Through Adversarial Training.

Francesco Pittaluga, Sanjeev J. Koppal, Ayan Chakrabarti

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Training Image Estimators without Image Ground Truth.

Zhihao Xia, Ayan Chakrabarti

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Backprop with Approximate Activations for Memory-efficient Network Training.

Ayan Chakrabarti, Benjamin Moseley

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Jointly Learning to Construct and Control Agents using Deep Reinforcement Learning.

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

Proceedings of the International Conference on Robotics and Automation, 2019

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

Weidong Cao, Liu Ke, Ayan Chakrabarti, Xuan Zhang

Proceedings of the International Conference on Computer-Aided Design, 2019

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

Weidong Cao, Xin He, Ayan Chakrabarti, Xuan Zhang

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

Learning to Separate Multiple Illuminants in a Single Image.

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2017

Stabilizing GAN Training with Multiple Random Projections.

Behnam Neyshabur, Srinadh Bhojanapalli, Ayan Chakrabarti

CoRR, 2017

Jointly optimizing placement and inference for beacon-based localization.

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

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

2016

Examining the Impact of Blur on Recognition by Convolutional Networks.

Igor Vasiljevic, Ayan Chakrabarti, Gregory Shakhnarovich

CoRR, 2016

Depth from a Single Image by Harmonizing Overcomplete Local Network Predictions.

Ayan Chakrabarti, Jingyu Shao, Greg Shakhnarovich

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Learning Sensor Multiplexing Design through Back-propagation.

Ayan Chakrabarti

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

A Neural Approach to Blind Motion Deblurring.

Ayan Chakrabarti

Proceedings of the Computer Vision - ECCV 2016, 2016

Single-Image RGB Photometric Stereo with Spatially-Varying Albedo.

Ayan Chakrabarti, Kalyan Sunkavalli

Proceedings of the Fourth International Conference on 3D Vision, 2016

2015

From Shading to Local Shape.

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

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Color Constancy by Learning to Predict Chromaticity from Luminance.

Ayan Chakrabarti

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Low-level vision by consensus in a spatial hierarchy of regions.

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Modeling Radiometric Uncertainty for Vision with Tone-Mapped Color Images.

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

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Rethinking color cameras.

Ayan Chakrabarti, William T. Freeman, Todd E. Zickler

Proceedings of the 2014 IEEE International Conference on Computational Photography, 2014

2012

Color Constancy with Spatio-Spectral Statistics.

Ayan Chakrabarti, Keigo Hirakawa, Todd E. Zickler

IEEE Trans. Pattern Anal. Mach. Intell., 2012

Image Restoration with Signal-dependent Camera Noise

Ayan Chakrabarti, Todd E. Zickler

CoRR, 2012

Depth and Deblurring from a Spectrally-Varying Depth-of-Field.

Ayan Chakrabarti, Todd E. Zickler

Proceedings of the Computer Vision - ECCV 2012, 2012

2011

Learning object color models from multi-view constraints.

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

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Statistics of real-world hyperspectral images.

Ayan Chakrabarti, Todd E. Zickler

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Analyzing spatially-varying blur.

Ayan Chakrabarti, Todd E. Zickler, William T. Freeman

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009

An Empirical Camera Model for Internet Color Vision.

Ayan Chakrabarti, Daniel Scharstein, Todd E. Zickler

Proceedings of the British Machine Vision Conference, 2009

2008

Effective separation of sparse and non-sparse image features for denoising.

Ayan Chakrabarti, Keigo Hirakawa

Proceedings of the IEEE International Conference on Acoustics, 2008

Color constancy beyond bags of pixels.

Ayan Chakrabarti, Keigo Hirakawa, Todd E. Zickler

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

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

Ayan Chakrabarti, A. N. Rajagopalan, Rama Chellappa

IEEE Trans. Multim., 2007