Srikar Appalaraju

According to our database, Srikar Appalaraju authored at least 21 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Enhancing Vision-Language Pre-training with Rich Supervisions.

Yuan Gao, Kunyu Shi, Pengkai Zhu, Edouard Belval, Oren Nuriel, Srikar Appalaraju, Shabnam Ghadar, Vijay Mahadevan, Zhuowen Tu, Stefano Soatto

CoRR, 2024

No Head Left Behind - Multi-Head Alignment Distillation for Transformers.

Tianyang Zhao, Kunwar Yashraj Singh, Srikar Appalaraju, Peng Tang, Vijay Mahadevan, R. Manmatha, Ying Nian Wu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

DocFormerv2: Local Features for Document Understanding.

Srikar Appalaraju, Peng Tang, Qi Dong, Nishant Sankaran, Yichu Zhou, R. Manmatha

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

DEED: Dynamic Early Exit on Decoder for Accelerating Encoder-Decoder Transformer Models.

Peng Tang, Pengkai Zhu, Tian Li, Srikar Appalaraju, Vijay Mahadevan, R. Manmatha

CoRR, 2023

Multiple-Question Multiple-Answer Text-VQA.

Peng Tang, Srikar Appalaraju, R. Manmatha, Yusheng Xie, Vijay Mahadevan

CoRR, 2023

SimCon Loss with Multiple Views for Text Supervised Semantic Segmentation.

Yash Patel, Yusheng Xie, Yi Zhu, Srikar Appalaraju, R. Manmatha

CoRR, 2023

MixGen: A New Multi-Modal Data Augmentation.

Xiaoshuai Hao, Yi Zhu, Srikar Appalaraju, Aston Zhang, Wanqian Zhang, Bo Li, Mu Li

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2023

A Multi-Modal Multilingual Benchmark for Document Image Classification.

Yoshinari Fujinuma, Siddharth Varia, Nishant Sankaran, Srikar Appalaraju, Bonan Min, Yogarshi Vyas

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Towards Differential Relational Privacy and its use in Question Answering.

Simone Bombari, Alessandro Achille, Zijian Wang, Yu-Xiang Wang, Yusheng Xie, Kunwar Yashraj Singh, Srikar Appalaraju, Vijay Mahadevan, Stefano Soatto

CoRR, 2022

SeeTek: Very Large-Scale Open-set Logo Recognition with Text-Aware Metric Learning.

Chenge Li, István Fehérvári, Xiaonan Zhao, Ives Macêdo, Srikar Appalaraju

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

YORO - Lightweight End to End Visual Grounding.

Chih-Hui Ho, Srikar Appalaraju, Bhavan Jasani, R. Manmatha, Nuno Vasconcelos

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

LaTr: Layout-Aware Transformer for Scene-Text VQA.

Ali Furkan Biten, Ron Litman, Yusheng Xie, Srikar Appalaraju, R. Manmatha

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Saliency Driven Perceptual Image Compression.

Yash Patel, Srikar Appalaraju, R. Manmatha

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

DocFormer: End-to-End Transformer for Document Understanding.

Srikar Appalaraju, Bhavan Jasani, Bhargava Urala Kota, Yusheng Xie, R. Manmatha

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Towards Good Practices in Self-supervised Representation Learning.

Srikar Appalaraju, Yi Zhu, Yusheng Xie, István Fehérvári

CoRR, 2020

Hierarchical Auto-Regressive Model for Image Compression Incorporating Object Saliency and a Deep Perceptual Loss.

Yash Patel, Srikar Appalaraju, R. Manmatha

CoRR, 2020

2019

Unbiased Evaluation of Deep Metric Learning Algorithms.

István Fehérvári, Avinash Ravichandran, Srikar Appalaraju

CoRR, 2019

Human Perceptual Evaluations for Image Compression.

Yash Patel, Srikar Appalaraju, R. Manmatha

CoRR, 2019

Deep Perceptual Compression.

Yash Patel, Srikar Appalaraju, R. Manmatha

CoRR, 2019

Scalable Logo Recognition Using Proxies.

István Fehérvári, Srikar Appalaraju

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

2017

Image similarity using Deep CNN and Curriculum Learning.

Srikar Appalaraju, Vineet Chaoji

CoRR, 2017