Ayan Chakrabarti

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 64

Top Topics

Depth Estimates

Image Classification

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Sadeep Jayasumana, Srikumar Ramalingam, Andreas Veit, Daniel Glasner, Ayan Chakrabarti, Sanjiv Kumar
Rethinking FID: Towards a Better Evaluation Metric for Image Generation. CoRR (2024)
Ke Ye, Heinrich Jiang, Afshin Rostamizadeh, Ayan Chakrabarti, Giulia DeSalvo, Jean-François Kagy, Lazaros Karydas, Gui Citovsky, Sanjiv Kumar
SpacTor-T5: Pre-training T5 Models with Span Corruption and Replaced Token Detection. CoRR (2024)
Sadeep Jayasumana, Daniel Glasner, Srikumar Ramalingam, Andreas Veit, Ayan Chakrabarti, Sanjiv Kumar
SPEGTI: Structured Prediction for Efficient Generative Text-to-Image Models. CoRR (2023)
Gustavo Gratacós, Ayan Chakrabarti, Tao Ju
Tree Recovery by Dynamic Programming. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Tianrui Ma, Adith Jagadish Boloor, Xiangxing Yang, Weidong Cao, Patrick Williams, Nan Sun, Ayan Chakrabarti, Xuan Zhang
LeCA: In-Sensor Learned Compressive Acquisition for Efficient Machine Vision on the Edge. ISCA (2023)
Cyrus Rashtchian, Charles Herrmann, Chun-Sung Ferng, Ayan Chakrabarti, Dilip Krishnan, Deqing Sun, Da-Cheng Juan, Andrew Tomkins
Substance or Style: What Does Your Image Embedding Know? CoRR (2023)
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
Benchmarking Robustness to Adversarial Image Obfuscations. NeurIPS (2023)
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
Benchmarking Robustness to Adversarial Image Obfuscations. CoRR (2023)
Jiaming Qiu, Ruiqi Wang, Ayan Chakrabarti, Roch Guérin, Chenyang Lu
Adaptive Edge Offloading for Image Classification Under Rate Limit. CoRR (2022)
Shaojie Wang, Tong Wu, Ayan Chakrabarti, Yevgeniy Vorobeychik
Adversarial Robustness of Deep Sensor Fusion Models. WACV (2022)
Mingyang Xie, Manav Kulshrestha, Shaojie Wang, Jinghan Yang, Ayan Chakrabarti, Ning Zhang, Yevgeniy Vorobeychik
PROVES: Establishing Image Provenance using Semantic Signatures. WACV (2022)
Jiaming Qiu, Ruiqi Wang, Ayan Chakrabarti, Roch Guérin, Chenyang Lu
Adaptive Edge Offloading for Image Classification Under Rate Limit. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41 (11) (2022)
Tianrui Ma, Weidong Cao, Fei Qiao, Ayan Chakrabarti, Xuan Zhang
HOGEye: Neural Approximation of HOG Feature Extraction in RRAM-Based 3D-Stacked Image Sensors. ISLPED (2022)
Zhihao Xia, Michaël Gharbi, Federico Perazzi, Kalyan Sunkavalli, Ayan Chakrabarti
Deep Denoising of Flash and No-Flash Pairs for Photography in Low-Light Environments. CVPR (2021)
Srinadh Bhojanapalli, Ayan Chakrabarti, Andreas Veit, Michal Lukasik, Himanshu Jain, Frederick Liu, Yin-Wen Chang, Sanjiv Kumar
Leveraging redundancy in attention with Reuse Transformers. CoRR (2021)
Srinadh Bhojanapalli, Ayan Chakrabarti, Himanshu Jain, Sanjiv Kumar, Michal Lukasik, Andreas Veit
Eigen Analysis of Self-Attention and its Reconstruction from Partial Computation. CoRR (2021)
Adith Boloor, Tong Wu, Patrick Naughton, Ayan Chakrabarti, Xuan Zhang, Yevgeniy Vorobeychik
Can Optical Trojans Assist Adversarial Perturbations? ICCVW (2021)
Srinadh Bhojanapalli, Ayan Chakrabarti, Daniel Glasner, Daliang Li, Thomas Unterthiner, Andreas Veit
Understanding Robustness of Transformers for Image Classification. ICCV (2021)
Weidong Cao, Ke Liu, Ayan Chakrabarti, Xuan Zhang
Evaluating Neural Network-Inspired Analog-to-Digital Conversion With Low-Precision RRAM. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40 (5) (2021)
Ayan Chakrabarti, Roch Guérin, Chenyang Lu, Jiangnan Liu
Real-Time Edge Classification: Optimal Offloading under Token Bucket Constraints. SEC (2021)
Mingyang Xie, Manav Kulshrestha, Shaojie Wang, Jinghan Yang, Ayan Chakrabarti, Ning Zhang, Yevgeniy Vorobeychik
PROVES: Establishing Image Provenance using Semantic Signatures. CoRR (2021)
Srinadh Bhojanapalli, Ayan Chakrabarti, Daniel Glasner, Daliang Li, Thomas Unterthiner, Andreas Veit
Understanding Robustness of Transformers for Image Classification. CoRR (2021)
Zhihao Xia, Federico Perazzi, Michaël Gharbi, Kalyan Sunkavalli, Ayan Chakrabarti
Basis Prediction Networks for Effective Burst Denoising With Large Kernels. CVPR (2020)
Zhihao Xia, Patrick Sullivan, Ayan Chakrabarti
Generating and Exploiting Probabilistic Monocular Depth Estimates. CVPR (2020)
Francesco Pittaluga, Zaid Tasneem, Justin Folden, Brevin Tilmon, Ayan Chakrabarti, Sanjeev J. Koppal
Towards a MEMS-based Adaptive LIDAR. 3DV (2020)
Jinghan Yang, Adith Boloor, Ayan Chakrabarti, Xuan Zhang, Yevgeniy Vorobeychik
Finding Physical Adversarial Examples for Autonomous Driving with Fast and Differentiable Image Compositing. CoRR (2020)
Zhihao Xia, Michaël Gharbi, Federico Perazzi, Kalyan Sunkavalli, Ayan Chakrabarti
Deep Denoising of Flash and No-Flash Pairs for Photography in Low-Light Environments. CoRR (2020)
Ayan Chakrabarti, Kalyan Sunkavalli, David A. Forsyth
Guest Editors' Introduction to the Special Section on Computational Photography. IEEE Trans. Pattern Anal. Mach. Intell. 42 (7) (2020)
Kyle Yee, Ayan Chakrabarti
Fast Deep Stereo with 2D Convolutional Processing of Cost Signatures. WACV (2020)
Jinghan Yang, Ayan Chakrabarti, Yevgeniy Vorobeychik
Protecting Geolocation Privacy of Photo Collections. AAAI (2020)
Ayan Chakrabarti, Roch Guérin, Chenyang Lu, Jiangnan Liu
Real-Time Edge Classification: Optimal Offloading under Token Bucket Constraints. CoRR (2020)
Francesco Pittaluga, Zaid Tasneem, Justin Folden, Brevin Tilmon, Ayan Chakrabarti, Sanjeev J. Koppal
A MEMS-based Foveating LIDAR to enable Real-time Adaptive Depth Sensing. CoRR (2020)
Weidong Cao, Xin He, Ayan Chakrabarti, Xuan Zhang
NeuADC: Neural Network-Inspired Synthesizable Analog-to-Digital Conversion. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (9) (2020)
Zhihao Xia, Ayan Chakrabarti
Identifying Recurring Patterns with Deep Neural Networks for Natural Image Denoising. WACV (2020)
Zhihao Xia, Federico Perazzi, Michaël Gharbi, Kalyan Sunkavalli, Ayan Chakrabarti
Basis Prediction Networks for Effective Burst Denoising with Large Kernels. CoRR (2019)
Charles B. Schaff, David Yunis, Ayan Chakrabarti, Matthew R. Walter
Jointly Learning to Construct and Control Agents using Deep Reinforcement Learning. ICRA (2019)
Francesco Pittaluga, Sanjeev J. Koppal, Ayan Chakrabarti
Learning Privacy Preserving Encodings Through Adversarial Training. WACV (2019)
Weidong Cao, Liu Ke, Ayan Chakrabarti, Xuan Zhang
Neural Network-Inspired Analog-to-Digital Conversion to Achieve Super-Resolution with Low-Precision RRAM Devices. ICCAD (2019)
Zhihao Xia, Ayan Chakrabarti
Training Image Estimators without Image Ground Truth. NeurIPS (2019)
Jinghan Yang, Ayan Chakrabarti, Yevgeniy Vorobeychik
Protecting Geolocation Privacy of Photo Collections. CoRR (2019)
Ayan Chakrabarti, Benjamin Moseley
Backprop with Approximate Activations for Memory-efficient Network Training. NeurIPS (2019)
Weidong Cao, Xin He, Ayan Chakrabarti, Xuan Zhang
NeuADC: Neural Network-Inspired RRAM-Based Synthesizable Analog-to-Digital Conversion with Reconfigurable Quantization Support. DATE (2019)
Weidong Cao, Liu Ke, Ayan Chakrabarti, Xuan Zhang
Neural Network-Inspired Analog-to-Digital Conversion to Achieve Super-Resolution with Low-Precision RRAM Devices. CoRR (2019)
Zhihao Xia, Patrick Sullivan, Ayan Chakrabarti
Generating and Exploiting Probabilistic Monocular Depth Estimates. CoRR (2019)
Ayan Chakrabarti, Benjamin Moseley
Backprop with Approximate Activations for Memory-efficient Network Training. CoRR (2019)
Kyle Yee, Ayan Chakrabarti
Fast Deep Stereo with 2D Convolutional Processing of Cost Signatures. CoRR (2019)
Zhuo Hui, Ayan Chakrabarti, Kalyan Sunkavalli, Aswin C. Sankaranarayanan
Learning to Separate Multiple Illuminants in a Single Image. CVPR (2019)
Zhihao Xia, Ayan Chakrabarti
Training Image Estimators without Image Ground-Truth. CoRR (2019)
Charles B. Schaff, David Yunis, Ayan Chakrabarti, Matthew R. Walter
Jointly Learning to Construct and Control Agents using Deep Reinforcement Learning. CoRR (2018)
Zhuo Hui, Ayan Chakrabarti, Kalyan Sunkavalli, Aswin C. Sankaranarayanan
Learning to Separate Multiple Illuminants in a Single Image. CoRR (2018)
Francesco Pittaluga, Sanjeev J. Koppal, Ayan Chakrabarti
Learning Privacy Preserving Encodings through Adversarial Training. CoRR (2018)
Zhihao Xia, Ayan Chakrabarti
Identifying Recurring Patterns with Deep Neural Networks for Natural Image Denoising. CoRR (2018)
Charles B. Schaff, David Yunis, Ayan Chakrabarti, Matthew R. Walter
Jointly Optimizing Placement and Inference for Beacon-based Localization. CoRR (2017)
Charles B. Schaff, David Yunis, Ayan Chakrabarti, Matthew R. Walter
Jointly optimizing placement and inference for beacon-based localization. IROS (2017)
Behnam Neyshabur, Srinadh Bhojanapalli, Ayan Chakrabarti
Stabilizing GAN Training with Multiple Random Projections. CoRR (2017)
Ayan Chakrabarti
A Neural Approach to Blind Motion Deblurring. ECCV (3) (2016)
Ayan Chakrabarti, Jingyu Shao, Gregory Shakhnarovich
Depth from a Single Image by Harmonizing Overcomplete Local Network Predictions. CoRR (2016)
Ayan Chakrabarti, Jingyu Shao, Greg Shakhnarovich
Depth from a Single Image by Harmonizing Overcomplete Local Network Predictions. NIPS (2016)
Ayan Chakrabarti
A Neural Approach to Blind Motion Deblurring. CoRR (2016)
Igor Vasiljevic, Ayan Chakrabarti, Gregory Shakhnarovich
Examining the Impact of Blur on Recognition by Convolutional Networks. CoRR (2016)
Ayan Chakrabarti, Kalyan Sunkavalli
Single-Image RGB Photometric Stereo with Spatially-Varying Albedo. 3DV (2016)
Ayan Chakrabarti
Learning Sensor Multiplexing Design through Back-propagation. CoRR (2016)
Ayan Chakrabarti, Kalyan Sunkavalli
Single-image RGB Photometric Stereo With Spatially-varying Albedo. CoRR (2016)
Ayan Chakrabarti
Learning Sensor Multiplexing Design through Back-propagation. NIPS (2016)
Ying Xiong, Ayan Chakrabarti, Ronen Basri, Steven J. Gortler, David W. Jacobs, Todd E. Zickler
From Shading to Local Shape. IEEE Trans. Pattern Anal. Mach. Intell. 37 (1) (2015)
Ayan Chakrabarti, Ying Xiong, Steven J. Gortler, Todd E. Zickler
Low-level vision by consensus in a spatial hierarchy of regions. CVPR (2015)
Ayan Chakrabarti
Color Constancy by Learning to Predict Chromaticity from Luminance. NIPS (2015)
Ayan Chakrabarti
Color Constancy by Learning to Predict Chromaticity from Luminance. CoRR (2015)
Ayan Chakrabarti, William T. Freeman, Todd E. Zickler
Rethinking color cameras. ICCP (2014)
Ayan Chakrabarti, Ying Xiong, Steven J. Gortler, Todd E. Zickler
Low-level Vision by Consensus in a Spatial Hierarchy of Regions. CoRR (2014)
Ayan Chakrabarti, Ying Xiong, Baochen Sun, Trevor Darrell, Daniel Scharstein, Todd E. Zickler, Kate Saenko
Modeling Radiometric Uncertainty for Vision with Tone-Mapped Color Images. IEEE Trans. Pattern Anal. Mach. Intell. 36 (11) (2014)
Ying Xiong, Ayan Chakrabarti, Ronen Basri, Steven J. Gortler, David W. Jacobs, Todd E. Zickler
From Shading to Local Shape. CoRR (2013)
Ayan Chakrabarti, Ying Xiong, Baochen Sun, Trevor Darrell, Daniel Scharstein, Todd E. Zickler, Kate Saenko
Modeling Radiometric Uncertainty for Vision with Tone-mapped Color Images. CoRR (2013)
Ayan Chakrabarti, Keigo Hirakawa, Todd E. Zickler
Color Constancy with Spatio-Spectral Statistics. IEEE Trans. Pattern Anal. Mach. Intell. 34 (8) (2012)
Ayan Chakrabarti, Todd E. Zickler
Image Restoration with Signal-dependent Camera Noise CoRR (2012)
Ayan Chakrabarti, Todd E. Zickler
Depth and Deblurring from a Spectrally-Varying Depth-of-Field. ECCV (5) (2012)
Trevor Owens, Kate Saenko, Ayan Chakrabarti, Ying Xiong, Todd E. Zickler, Trevor Darrell
Learning object color models from multi-view constraints. CVPR (2011)
Ayan Chakrabarti, Todd E. Zickler
Statistics of real-world hyperspectral images. CVPR (2011)
Ayan Chakrabarti, Todd E. Zickler, William T. Freeman
Analyzing spatially-varying blur. CVPR (2010)
Ayan Chakrabarti, Daniel Scharstein, Todd E. Zickler
An Empirical Camera Model for Internet Color Vision. BMVC (2009)
Ayan Chakrabarti, Keigo Hirakawa, Todd E. Zickler
Color constancy beyond bags of pixels. CVPR (2008)
Ayan Chakrabarti, Keigo Hirakawa
Effective separation of sparse and non-sparse image features for denoising. ICASSP (2008)
Ayan Chakrabarti, A. N. Rajagopalan, Rama Chellappa
Super-Resolution of Face Images Using Kernel PCA-Based Prior. IEEE Trans. Multim. 9 (4) (2007)