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Ayan Chakrabarti
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2020 – today
- 2024
- [c39]Sadeep Jayasumana, Srikumar Ramalingam, Andreas Veit, Daniel Glasner, Ayan Chakrabarti, Sanjiv Kumar:
Rethinking FID: Towards a Better Evaluation Metric for Image Generation. CVPR 2024: 9307-9315 - [c38]Sadeep Jayasumana, Daniel Glasner, Srikumar Ramalingam, Andreas Veit, Ayan Chakrabarti, Sanjiv Kumar:
MarkovGen: Structured Prediction for Efficient Text-to-Image Generation. CVPR 2024: 9316-9325 - [i37]Sadeep Jayasumana, Srikumar Ramalingam, Andreas Veit, Daniel Glasner, Ayan Chakrabarti, Sanjiv Kumar:
Rethinking FID: Towards a Better Evaluation Metric for Image Generation. CoRR abs/2401.09603 (2024) - [i36]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 abs/2401.13160 (2024) - 2023
- [j9]Gustavo Gratacós
, Ayan Chakrabarti
Tree Recovery by Dynamic Programming. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15870-15882 (2023) - [c37]Tianrui Ma
LeCA: In-Sensor Learned Compressive Acquisition for Efficient Machine Vision on the Edge. ISCA 2023: 54:1-54:14 - [c36]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 - [i35]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 abs/2301.12993 (2023) - [i34]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 abs/2307.05610 (2023) - [i33]Sadeep Jayasumana, Daniel Glasner, Srikumar Ramalingam, Andreas Veit, Ayan Chakrabarti, Sanjiv Kumar:
SPEGTI: Structured Prediction for Efficient Generative Text-to-Image Models. CoRR abs/2308.10997 (2023) - 2022
- [j8]Jiaming Qiu
Adaptive Edge Offloading for Image Classification Under Rate Limit. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 3886-3897 (2022) - [c35]Tianrui Ma
HOGEye: Neural Approximation of HOG Feature Extraction in RRAM-Based 3D-Stacked Image Sensors. ISLPED 2022: 10:1-10:6 - [c34]Shaojie Wang, Tong Wu, Ayan Chakrabarti, Yevgeniy Vorobeychik:
Adversarial Robustness of Deep Sensor Fusion Models. WACV 2022: 1371-1380 - [c33]Mingyang Xie, Manav Kulshrestha, Shaojie Wang, Jinghan Yang, Ayan Chakrabarti, Ning Zhang, Yevgeniy Vorobeychik:
PROVES: Establishing Image Provenance using Semantic Signatures. WACV 2022: 3017-3026 - [i32]Jiaming Qiu, Ruiqi Wang, Ayan Chakrabarti, Roch Guérin, Chenyang Lu:
Adaptive Edge Offloading for Image Classification Under Rate Limit. CoRR abs/2208.00485 (2022) - 2021
- [j7]Weidong Cao
Evaluating Neural Network-Inspired Analog-to-Digital Conversion With Low-Precision RRAM. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(5): 808-821 (2021) - [c32]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: 2063-2072 - [c31]Srinadh Bhojanapalli, Ayan Chakrabarti, Daniel Glasner, Daliang Li, Thomas Unterthiner
Understanding Robustness of Transformers for Image Classification. ICCV 2021: 10211-10221 - [c30]Adith Boloor
Can Optical Trojans Assist Adversarial Perturbations? ICCVW 2021: 122-131 - [c29]Ayan Chakrabarti, Roch Guérin, Chenyang Lu, Jiangnan Liu:
Real-Time Edge Classification: Optimal Offloading under Token Bucket Constraints. SEC 2021: 41-54 - [i31]Srinadh Bhojanapalli, Ayan Chakrabarti, Daniel Glasner, Daliang Li, Thomas Unterthiner, Andreas Veit:
Understanding Robustness of Transformers for Image Classification. CoRR abs/2103.14586 (2021) - [i30]Srinadh Bhojanapalli, Ayan Chakrabarti, Himanshu Jain, Sanjiv Kumar, Michal Lukasik, Andreas Veit:
Eigen Analysis of Self-Attention and its Reconstruction from Partial Computation. CoRR abs/2106.08823 (2021) - [i29]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 abs/2110.06821 (2021) - [i28]Mingyang Xie, Manav Kulshrestha, Shaojie Wang, Jinghan Yang, Ayan Chakrabarti, Ning Zhang, Yevgeniy Vorobeychik:
PROVES: Establishing Image Provenance using Semantic Signatures. CoRR abs/2110.11411 (2021) - 2020
- [j6]Ayan Chakrabarti
Guest Editors' Introduction to the Special Section on Computational Photography. IEEE Trans. Pattern Anal. Mach. Intell. 42(7): 1545-1546 (2020) - [j5]Weidong Cao
NeuADC: Neural Network-Inspired Synthesizable Analog-to-Digital Conversion. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(9): 1841-1854 (2020) - [c28]Francesco Pittaluga, Zaid Tasneem, Justin Folden, Brevin Tilmon, Ayan Chakrabarti, Sanjeev J. Koppal:
Towards a MEMS-based Adaptive LIDAR. 3DV 2020: 1216-1226 - [c27]Jinghan Yang, Ayan Chakrabarti, Yevgeniy Vorobeychik:
Protecting Geolocation Privacy of Photo Collections. AAAI 2020: 524-531 - [c26]Zhihao Xia, Patrick Sullivan, Ayan Chakrabarti:
Generating and Exploiting Probabilistic Monocular Depth Estimates. CVPR 2020: 62-71 - [c25]Zhihao Xia, Federico Perazzi, Michaël Gharbi, Kalyan Sunkavalli, Ayan Chakrabarti:
Basis Prediction Networks for Effective Burst Denoising With Large Kernels. CVPR 2020: 11841-11850 - [c24]Kyle Yee, Ayan Chakrabarti:
Fast Deep Stereo with 2D Convolutional Processing of Cost Signatures. WACV 2020: 183-191 - [c23]Zhihao Xia, Ayan Chakrabarti:
Identifying Recurring Patterns with Deep Neural Networks for Natural Image Denoising. WACV 2020: 2415-2423 - [i27]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 abs/2003.09545 (2020) - [i26]Jinghan Yang, Adith Boloor, Ayan Chakrabarti, Xuan Zhang
Finding Physical Adversarial Examples for Autonomous Driving with Fast and Differentiable Image Compositing. CoRR abs/2010.08844 (2020) - [i25]Ayan Chakrabarti, Roch Guérin, Chenyang Lu, Jiangnan Liu:
Real-Time Edge Classification: Optimal Offloading under Token Bucket Constraints. CoRR abs/2010.13737 (2020) - [i24]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 abs/2012.05116 (2020)
2010 – 2019
- 2019
- [c22]Zhuo Hui, Ayan Chakrabarti, Kalyan Sunkavalli, Aswin C. Sankaranarayanan:
Learning to Separate Multiple Illuminants in a Single Image. CVPR 2019: 3780-3789 - [c21]Weidong Cao
NeuADC: Neural Network-Inspired RRAM-Based Synthesizable Analog-to-Digital Conversion with Reconfigurable Quantization Support. DATE 2019: 1477-1482 - [c20]Weidong Cao
Neural Network-Inspired Analog-to-Digital Conversion to Achieve Super-Resolution with Low-Precision RRAM Devices. ICCAD 2019: 1-7 - [c19]Charles B. Schaff, David Yunis, Ayan Chakrabarti, Matthew R. Walter:
Jointly Learning to Construct and Control Agents using Deep Reinforcement Learning. ICRA 2019: 9798-9805 - [c18]Ayan Chakrabarti, Benjamin Moseley:
Backprop with Approximate Activations for Memory-efficient Network Training. NeurIPS 2019: 2426-2435 - [c17]Zhihao Xia, Ayan Chakrabarti:
Training Image Estimators without Image Ground Truth. NeurIPS 2019: 2436-2446 - [c16]Francesco Pittaluga, Sanjeev J. Koppal, Ayan Chakrabarti:
Learning Privacy Preserving Encodings Through Adversarial Training. WACV 2019: 791-799 - [i23]Ayan Chakrabarti, Benjamin Moseley:
Backprop with Approximate Activations for Memory-efficient Network Training. CoRR abs/1901.07988 (2019) - [i22]Kyle Yee, Ayan Chakrabarti:
Fast Deep Stereo with 2D Convolutional Processing of Cost Signatures. CoRR abs/1903.04939 (2019) - [i21]Zhihao Xia, Patrick Sullivan, Ayan Chakrabarti:
Generating and Exploiting Probabilistic Monocular Depth Estimates. CoRR abs/1906.05739 (2019) - [i20]Zhihao Xia, Ayan Chakrabarti:
Training Image Estimators without Image Ground-Truth. CoRR abs/1906.05775 (2019) - [i19]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 abs/1911.12815 (2019) - [i18]Jinghan Yang, Ayan Chakrabarti, Yevgeniy Vorobeychik:
Protecting Geolocation Privacy of Photo Collections. CoRR abs/1912.02085 (2019) - [i17]Zhihao Xia, Federico Perazzi, Michaël Gharbi, Kalyan Sunkavalli, Ayan Chakrabarti:
Basis Prediction Networks for Effective Burst Denoising with Large Kernels. CoRR abs/1912.04421 (2019) - 2018
- [i16]Charles B. Schaff, David Yunis, Ayan Chakrabarti, Matthew R. Walter:
Jointly Learning to Construct and Control Agents using Deep Reinforcement Learning. CoRR abs/1801.01432 (2018) - [i15]Francesco Pittaluga, Sanjeev J. Koppal, Ayan Chakrabarti:
Learning Privacy Preserving Encodings through Adversarial Training. CoRR abs/1802.05214 (2018) - [i14]Zhihao Xia, Ayan Chakrabarti:
Identifying Recurring Patterns with Deep Neural Networks for Natural Image Denoising. CoRR abs/1806.05229 (2018) - [i13]Zhuo Hui, Ayan Chakrabarti, Kalyan Sunkavalli, Aswin C. Sankaranarayanan:
Learning to Separate Multiple Illuminants in a Single Image. CoRR abs/1811.12481 (2018) - 2017
- [c15]Charles B. Schaff, David Yunis, Ayan Chakrabarti
Jointly optimizing placement and inference for beacon-based localization. IROS 2017: 6609-6616 - [i12]Charles B. Schaff, David Yunis, Ayan Chakrabarti, Matthew R. Walter:
Jointly Optimizing Placement and Inference for Beacon-based Localization. CoRR abs/1703.08612 (2017) - [i11]Behnam Neyshabur, Srinadh Bhojanapalli, Ayan Chakrabarti:
Stabilizing GAN Training with Multiple Random Projections. CoRR abs/1705.07831 (2017) - 2016
- [c14]Ayan Chakrabarti
Single-Image RGB Photometric Stereo with Spatially-Varying Albedo. 3DV 2016: 258-266 - [c13]Ayan Chakrabarti
A Neural Approach to Blind Motion Deblurring. ECCV (3) 2016: 221-235 - [c12]Ayan Chakrabarti, Jingyu Shao, Greg Shakhnarovich:
Depth from a Single Image by Harmonizing Overcomplete Local Network Predictions. NIPS 2016: 2658-2666 - [c11]Ayan Chakrabarti:
Learning Sensor Multiplexing Design through Back-propagation. NIPS 2016: 3081-3089 - [i10]Ayan Chakrabarti:
A Neural Approach to Blind Motion Deblurring. CoRR abs/1603.04771 (2016) - [i9]Ayan Chakrabarti:
Learning Sensor Multiplexing Design through Back-propagation. CoRR abs/1605.07078 (2016) - [i8]Ayan Chakrabarti, Jingyu Shao, Gregory Shakhnarovich:
Depth from a Single Image by Harmonizing Overcomplete Local Network Predictions. CoRR abs/1605.07081 (2016) - [i7]Ayan Chakrabarti, Kalyan Sunkavalli:
Single-image RGB Photometric Stereo With Spatially-varying Albedo. CoRR abs/1609.04079 (2016) - [i6]Igor Vasiljevic, Ayan Chakrabarti, Gregory Shakhnarovich:
Examining the Impact of Blur on Recognition by Convolutional Networks. CoRR abs/1611.05760 (2016) - 2015
- [j4]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): 67-79 (2015) - [c10]Ayan Chakrabarti
Low-level vision by consensus in a spatial hierarchy of regions. CVPR 2015: 4009-4017 - [c9]Ayan Chakrabarti:
Color Constancy by Learning to Predict Chromaticity from Luminance. NIPS 2015: 163-171 - [i5]Ayan Chakrabarti:
Color Constancy by Learning to Predict Chromaticity from Luminance. CoRR abs/1506.02167 (2015) - 2014
- [j3]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): 2185-2198 (2014) - [c8]Ayan Chakrabarti
Rethinking color cameras. ICCP 2014: 1-8 - [i4]Ayan Chakrabarti, Ying Xiong, Steven J. Gortler, Todd E. Zickler:
Low-level Vision by Consensus in a Spatial Hierarchy of Regions. CoRR abs/1411.4894 (2014) - 2013
- [i3]Ying Xiong, Ayan Chakrabarti, Ronen Basri, Steven J. Gortler, David W. Jacobs, Todd E. Zickler:
From Shading to Local Shape. CoRR abs/1310.2916 (2013) - [i2]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 abs/1311.6887 (2013) - 2012
- [j2]Ayan Chakrabarti, Keigo Hirakawa, Todd E. Zickler:
Color Constancy with Spatio-Spectral Statistics. IEEE Trans. Pattern Anal. Mach. Intell. 34(8): 1509-1519 (2012) - [c7]Ayan Chakrabarti
Depth and Deblurring from a Spectrally-Varying Depth-of-Field. ECCV (5) 2012: 648-661 - [i1]Ayan Chakrabarti, Todd E. Zickler:
Image Restoration with Signal-dependent Camera Noise. CoRR abs/1204.2994 (2012) - 2011
- [c6]Trevor Owens, Kate Saenko, Ayan Chakrabarti
Learning object color models from multi-view constraints. CVPR 2011: 169-176 - [c5]Ayan Chakrabarti
Statistics of real-world hyperspectral images. CVPR 2011: 193-200 - 2010
- [c4]Ayan Chakrabarti
Analyzing spatially-varying blur. CVPR 2010: 2512-2519
2000 – 2009
- 2009
- [c3]Ayan Chakrabarti
An Empirical Camera Model for Internet Color Vision. BMVC 2009: 1-11 - 2008
- [c2]Ayan Chakrabarti
Color constancy beyond bags of pixels. CVPR 2008 - [c1]Ayan Chakrabarti
Effective separation of sparse and non-sparse image features for denoising. ICASSP 2008: 857-860 - 2007
- [j1]Ayan Chakrabarti
Super-Resolution of Face Images Using Kernel PCA-Based Prior. IEEE Trans. Multim. 9(4): 888-892 (2007)
Coauthor Index
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last updated on 2024-10-04 20:00 CEST by the dblp team
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