Ayan Chakrabarti
19 papers · 2015–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Renaissance Researcher (7) π Conference Polyglot (5) π Academic Marathon (9) πΊοΈ Taxonomy Completionist (53)
πΊοΈ
Taxonomy Completionist
(53)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Keyword Champion
π§¬
Topic Evolution
π±
Topic Pioneer
π
Century Club
(19)
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(108)
π₯
Unstoppable
(6)
π
Trend Setter
π
Conference Pioneer
Conferences
CVPR (7)
NIPS (6)
WACV (4)
AAAI (1)
ICCV (1)
Top co-authors
Research topics
Keywords
neural network
(6)
image restoration
(4)
depth estimation
(4)
image classification
(3)
image denoising
(3)
adversarial robustness
(2)
probability distribution
(2)
monocular depth
(2)
deep neural network
(2)
image processing
(2)
convolutional neural network
(2)
stereo matching
(2)
compressive sensing
(1)
blind deconvolution
(1)
structured prediction
(1)
vision transformer
(1)
unsupervised learning
(1)
transfer learning
(1)
data augmentation
(1)
variational inference
(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
NIPS 2023
PROVES: Establishing Image Provenance Using Semantic Signatures
WACV 2022
Adversarial Robustness of Deep Sensor Fusion Models
WACV 2022
Understanding Robustness of Transformers for Image Classification
ICCV 2021
Deep Denoising of Flash and No-Flash Pairs for Photography in Low-Light Environments
CVPR 2021
Generating and Exploiting Probabilistic Monocular Depth Estimates
CVPR 2020
Protecting Geolocation Privacy of Photo Collections
AAAI 2020
Basis Prediction Networks for Effective Burst Denoising With Large Kernels
CVPR 2020
Fast Deep Stereo with 2D Convolutional Processing of Cost Signatures
WACV 2020
Identifying Recurring Patterns with Deep Neural Networks for Natural Image Denoising
WACV 2020
Learning to Separate Multiple Illuminants in a Single Image
CVPR 2019
Backprop with Approximate Activations for Memory-efficient Network Training
NIPS 2019
Training Image Estimators without Image Ground Truth
NIPS 2019
Depth from a Single Image by Harmonizing Overcomplete Local Network Predictions
NIPS 2016
Learning Sensor Multiplexing Design through Back-propagation
NIPS 2016
Low-Level Vision by Consensus in a Spatial Hierarchy of Regions
CVPR 2015
Color Constancy by Learning to Predict Chromaticity from Luminance
NIPS 2015