Ayan Chakrabarti
19 papers · 2015–2024 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (49) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Topic Pioneer
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Topic Evolution
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Keyword Champion
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Renaissance Researcher
(5)
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Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Conference Pioneer
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Century Club Β· Bronze
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Trend Setter
ποΈ
Keyword Collector
(111)
Venues
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Research topics
Computer Vision
(17)
Machine Learning
(15)
Deep Learning
(11)
Analysis
(8)
Artificial Intelligence
(7)
Application Areas
(7)
Processing
(7)
Learning Types Β· Deep Learning
(6)
Architectures
(5)
Core AI Β· Artificial Intelligence
(5)
Core Methods
(5)
Learning Types Β· Machine Learning
(5)
Optimization & Theory
(4)
Core AI Β· Computer Vision
(3)
Computer Science
(2)
Keywords
neural network
(6)
image restoration
(4)
depth estimation
(4)
image classification
(3)
image denoising
(3)
probability distribution
(2)
deep neural network
(2)
adversarial robustness
(2)
convolutional neural network
(2)
monocular depth
(2)
stereo matching
(2)
image processing
(2)
blind deconvolution
(1)
structured prediction
(1)
vision transformer
(1)
transfer learning
(1)
benchmark evaluation
(1)
unsupervised learning
(1)
variational inference
(1)
adversarial machine learning
(1)
Papers
MarkovGen: Structured Prediction for Efficient Text-to-Image Generation
CVPR 2024
Rethinking FID: Towards a Better Evaluation Metric for Image Generation
CVPR 2024
Benchmarking Robustness to Adversarial Image Obfuscations
NeurIPS 2023
Adversarial Robustness of Deep Sensor Fusion Models
WACV 2022
PROVES: Establishing Image Provenance Using Semantic Signatures
WACV 2022
Deep Denoising of Flash and No-Flash Pairs for Photography in Low-Light Environments
CVPR 2021
Understanding Robustness of Transformers for Image Classification
ICCV 2021
Basis Prediction Networks for Effective Burst Denoising With Large Kernels
CVPR 2020
Fast Deep Stereo with 2D Convolutional Processing of Cost Signatures
WACV 2020
Generating and Exploiting Probabilistic Monocular Depth Estimates
CVPR 2020
Identifying Recurring Patterns with Deep Neural Networks for Natural Image Denoising
WACV 2020
Protecting Geolocation Privacy of Photo Collections
AAAI 2020
Backprop with Approximate Activations for Memory-efficient Network Training
NeurIPS 2019
Learning to Separate Multiple Illuminants in a Single Image
CVPR 2019
Training Image Estimators without Image Ground Truth
NeurIPS 2019
Depth from a Single Image by Harmonizing Overcomplete Local Network Predictions
NeurIPS 2016
Learning Sensor Multiplexing Design through Back-propagation
NeurIPS 2016
Color Constancy by Learning to Predict Chromaticity from Luminance
NeurIPS 2015
Low-Level Vision by Consensus in a Spatial Hierarchy of Regions
CVPR 2015