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Srikar Appalaraju
Srikar Appalaraju
Principal Scientist, AWS
Verified email at amazon.com
Title
Cited by
Cited by
Year
DocFormer: End-to-End Transformer for Document Understanding
RM Srikar Appalaraju, Bhavan Jasani, Bhargava Urala Kota, Yusheng Xie
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
198*2021
Image similarity using Deep CNN and Curriculum Learning
S Appalaraju, V Chaoji
GHCI 2017, 2017
922017
Latr: Layout-aware transformer for scene-text vqa
AF Biten, R Litman, Y Xie, S Appalaraju, R Manmatha
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
712022
Scalable logo recognition using proxies
I Fehérvári, S Appalaraju
2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 715-725, 2019
582019
Mixgen: A new multi-modal data augmentation
X Hao, Y Zhu, S Appalaraju, A Zhang, W Zhang, B Li, M Li
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
492023
Saliency Driven Perceptual Image Compression
Y Patel, S Appalaraju, R Manmatha
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021
402021
Artificial intelligence system for image similarity analysis using optimized image pair selection and multi-scale convolutional neural networks
S Appalaraju, VS Chaoji
US Patent 10,467,526, 2019
372019
Deep perceptual compression
Y Patel, S Appalaraju, R Manmatha
arXiv preprint arXiv:1907.08310, 2019
282019
Unbiased evaluation of deep metric learning algorithms
I Fehervari, A Ravichandran, S Appalaraju
arXiv preprint arXiv:1911.12528, 2019
272019
Human perceptual evaluations for image compression
Y Patel, S Appalaraju, R Manmatha
arXiv preprint arXiv:1908.04187, 2019
272019
Towards Good Practices in Self-supervised Representation Learning
S Appalaraju, Y Zhu, Y Xie, I Fehérvári
Neural Information Processing Systems (NeurIPS Self-Supervision Workshop 2020), 2020
192020
Seetek: Very large-scale open-set logo recognition with text-aware metric learning
C Li, I Fehérvári, X Zhao, I Macedo, S Appalaraju
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022
112022
Yoro-lightweight end to end visual grounding
CH Ho, S Appalaraju, B Jasani, R Manmatha, N Vasconcelos
European Conference on Computer Vision, 3-23, 2022
102022
Identifying Software Products to Test
S Appalaraju, A Wanjari, V Bhargava
US Patent 10,089,661, 2018
92018
Learned lossy image compression codec
S Appalaraju, R Manmatha, Y Patel
US Patent 10,909,728, 2021
82021
Hierarchical auto-regressive model for image compression incorporating object saliency and a deep perceptual loss
Y Patel, S Appalaraju, R Manmatha
arXiv preprint arXiv:2002.04988 7, 2020
82020
Image similarity using deep CNN and curriculum learning. arXiv 2017
S Appalaraju, V Chaoji
arXiv preprint arXiv:1709.08761, 0
7
DocFormerv2: Local Features for Document Understanding
S Appalaraju, P Tang, Q Dong, N Sankaran, Y Zhou, R Manmatha
arXiv preprint arXiv:2306.01733, 2023
62023
Latr: Layout-aware transformer for scene-text vqa. In 2022 IEEE
AF Biten, R Litman, Y Xie, S Appalaraju, R Manmatha
CVF Conference on Computer Vision and Pattern Recognition (CVPR), 16527-16537, 2022
62022
Simcon loss with multiple views for text supervised semantic segmentation
Y Patel, Y Xie, Y Zhu, S Appalaraju, R Manmatha
arXiv preprint arXiv:2302.03432, 2023
52023
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