Image similarity using Deep CNN and Curriculum Learning. - Srikar Appalaraju; Vineet Chaoji (CoRR, 2017)

Scalable Logo Recognition Using Proxies. - István Fehérvári; Srikar Appalaraju (WACV, 2019)

Deep Perceptual Compression. - Yash Patel; Srikar Appalaraju; R. Manmatha (CoRR, 2019)

Human Perceptual Evaluations for Image Compression. - Yash Patel; Srikar Appalaraju; R. Manmatha (CoRR, 2019)

Unbiased Evaluation of Deep Metric Learning Algorithms. - István Fehérvári; Avinash Ravichandran; Srikar Appalaraju (CoRR, 2019)

Hierarchical Auto-Regressive Model for Image Compression Incorporating Object Saliency and a Deep Perceptual Loss. - Yash Patel; Srikar Appalaraju; R. Manmatha (CoRR, 2020)

Towards Good Practices in Self-supervised Representation Learning. - Srikar Appalaraju; Yi Zhu; Yusheng Xie; István Fehérvári (CoRR, 2020)

DocFormer: End-to-End Transformer for Document Understanding. - Srikar Appalaraju; Bhavan Jasani; Bhargava Urala Kota; Yusheng Xie; R. Manmatha (ICCV, 2021)

Saliency Driven Perceptual Image Compression. - Yash Patel; Srikar Appalaraju; R. Manmatha (WACV, 2021)

LaTr: Layout-Aware Transformer for Scene-Text VQA. - Ali Furkan Biten; Ron Litman; Yusheng Xie; Srikar Appalaraju; R. Manmatha (CVPR, 2022)

YORO - Lightweight End to End Visual Grounding. - Chih-Hui Ho; Srikar Appalaraju; Bhavan Jasani; R. Manmatha; Nuno Vasconcelos (ECCV Workshops (8), 2022)

SeeTek: Very Large-Scale Open-set Logo Recognition with Text-Aware Metric Learning. - Chenge Li; István Fehérvári; Xiaonan Zhao; Ives Macêdo; Srikar Appalaraju (WACV, 2022)

Towards Differential Relational Privacy and its use in Question Answering. - Simone Bombari; Alessandro Achille; Zijian Wang 002; Yu-Xiang Wang 003; Yusheng Xie; Kunwar Yashraj Singh; Srikar Appalaraju; Vijay Mahadevan; Stefano Soatto (CoRR, 2022)

A Multi-Modal Multilingual Benchmark for Document Image Classification. - Yoshinari Fujinuma; Siddharth Varia; Nishant Sankaran; Srikar Appalaraju; Bonan Min; Yogarshi Vyas (EMNLP (Findings), 2023)

MixGen: A New Multi-Modal Data Augmentation. - Xiaoshuai Hao; Yi Zhu 001; Srikar Appalaraju; Aston Zhang; Wanqian Zhang; Bo Li 063; Mu Li 003 (WACV (Workshops), 2023)

SimCon Loss with Multiple Views for Text Supervised Semantic Segmentation. - Yash Patel; Yusheng Xie; Yi Zhu 001; Srikar Appalaraju; R. Manmatha (CoRR, 2023)

DocFormerv2: Local Features for Document Understanding. - Srikar Appalaraju; Peng Tang; Qi Dong; Nishant Sankaran; Yichu Zhou; R. Manmatha (AAAI, 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 (AAAI, 2024)

Enhancing Vision-Language Pre-Training with Rich Supervisions. - Yuan Gao; Kunyu Shi; Pengkai Zhu; Edouard Belval; Oren Nuriel; Srikar Appalaraju; Shabnam Ghadar; Zhuowen Tu; Vijay Mahadevan; Stefano Soatto (CVPR, 2024)

VisFocus: Prompt-Guided Vision Encoders for OCR-Free Dense Document Understanding. - Ofir Abramovich; Niv Nayman; Sharon Fogel; Inbal Lavi; Ron Litman; Shahar Tsiper; Royee Tichauer; Srikar Appalaraju; Shai Mazor; R. Manmatha (ECCV (8), 2024)

DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models. - Sungnyun Kim; Haofu Liao; Srikar Appalaraju; Peng Tang; Zhuowen Tu; Ravi Kumar Satzoda; R. Manmatha; Vijay Mahadevan; Stefano Soatto (EMNLP, 2024)

Multiple-Question Multiple-Answer Text-VQA. - Peng Tang; Srikar Appalaraju; R. Manmatha; Yusheng Xie; Vijay Mahadevan (NAACL (Industry Track), 2024)

DEED: Dynamic Early Exit on Decoder for Accelerating Encoder-Decoder Transformer Models. - Peng Tang; Pengkai Zhu; Tian Li; Srikar Appalaraju; Vijay Mahadevan; R. Manmatha (NAACL-HLT (Findings), 2024)

RAVEN: Multitask Retrieval Augmented Vision-Language Learning. - Varun Nagaraj Rao; Siddharth Choudhary; Aditya Deshpande; Ravi Kumar Satzoda; Srikar Appalaraju (CoRR, 2024)

R-VLM: Region-Aware Vision Language Model for Precise GUI Grounding. - Joonhyung Park; Peng Tang; Sagnik Das; Srikar Appalaraju; Kunwar Yashraj Singh; R. Manmatha; Shabnam Ghadar (ACL (Findings), 2025)

Turbocharging Web Automation: The Impact of Compressed History States. - Xiyue Zhu; Peng Tang; Haofu Liao; Srikar Appalaraju (ACL (Findings), 2025)

On the Analysis and Distillation of Emergent Outlier Properties in Pre-trained Language Models. - Tianyang Zhao; Kunwar Yashraj Singh; Srikar Appalaraju; Peng Tang; Ying Nian Wu; Li Erran Li (NAACL (Long Papers), 2025)