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Conference and Workshop Papers
- 2024
[c15]Srikar Appalaraju, Peng Tang, Qi Dong, Nishant Sankaran, Yichu Zhou, R. Manmatha:
DocFormerv2: Local Features for Document Understanding. AAAI 2024: 709-718- [c14]Tianyang Zhao, Kunwar Yashraj Singh, Srikar Appalaraju, Peng Tang, Vijay Mahadevan, R. Manmatha, Ying Nian Wu:
No Head Left Behind - Multi-Head Alignment Distillation for Transformers. AAAI 2024: 7514-7524 - [c13]Yuan Gao, Kunyu Shi, Pengkai Zhu, Edouard Belval, Oren Nuriel, Srikar Appalaraju, Shabnam Ghadar, Zhuowen Tu, Vijay Mahadevan, Stefano Soatto:
Enhancing Vision-Language Pre-Training with Rich Supervisions. CVPR 2024: 13480-13491 - [c12]Ofir Abramovich, Niv Nayman, Sharon Fogel, Inbal Lavi, Ron Litman, Shahar Tsiper, Royee Tichauer, Srikar Appalaraju, Shai Mazor, R. Manmatha:
VisFocus: Prompt-Guided Vision Encoders for OCR-Free Dense Document Understanding. ECCV (8) 2024: 241-259 - [c11]Sungnyun Kim, Haofu Liao, Srikar Appalaraju, Peng Tang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan, Stefano Soatto:
DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models. EMNLP 2024: 3167-3193 - [c10]Peng Tang, Srikar Appalaraju, R. Manmatha, Yusheng Xie, Vijay Mahadevan:
Multiple-Question Multiple-Answer Text-VQA. NAACL (Industry Track) 2024: 73-88 - [c9]Peng Tang, Pengkai Zhu, Tian Li, Srikar Appalaraju, Vijay Mahadevan, R. Manmatha:
DEED: Dynamic Early Exit on Decoder for Accelerating Encoder-Decoder Transformer Models. NAACL-HLT (Findings) 2024: 116-131 - 2023
- [c8]Yoshinari Fujinuma, Siddharth Varia, Nishant Sankaran, Srikar Appalaraju, Bonan Min, Yogarshi Vyas:
A Multi-Modal Multilingual Benchmark for Document Image Classification. EMNLP (Findings) 2023: 14361-14376 - [c7]Xiaoshuai Hao, Yi Zhu, Srikar Appalaraju, Aston Zhang, Wanqian Zhang, Bo Li, Mu Li:
MixGen: A New Multi-Modal Data Augmentation. WACV (Workshops) 2023: 379-389 - 2022
- [c6]Ali Furkan Biten, Ron Litman, Yusheng Xie, Srikar Appalaraju, R. Manmatha:
LaTr: Layout-Aware Transformer for Scene-Text VQA. CVPR 2022: 16527-16537 - [c5]Chih-Hui Ho, Srikar Appalaraju, Bhavan Jasani, R. Manmatha, Nuno Vasconcelos:
YORO - Lightweight End to End Visual Grounding. ECCV Workshops (8) 2022: 3-23 - [c4]Chenge Li, István Fehérvári, Xiaonan Zhao, Ives Macêdo, Srikar Appalaraju:
SeeTek: Very Large-Scale Open-set Logo Recognition with Text-Aware Metric Learning. WACV 2022: 587-596 - 2021
- [c3]Srikar Appalaraju, Bhavan Jasani, Bhargava Urala Kota, Yusheng Xie, R. Manmatha:
DocFormer: End-to-End Transformer for Document Understanding. ICCV 2021: 973-983 - [c2]Yash Patel, Srikar Appalaraju, R. Manmatha:
Saliency Driven Perceptual Image Compression. WACV 2021: 227-236 - 2019
- [c1]István Fehérvári, Srikar Appalaraju:
Scalable Logo Recognition Using Proxies. WACV 2019: 715-725
Informal and Other Publications
- 2024
- [i21]Yuan Gao, Kunyu Shi, Pengkai Zhu, Edouard Belval, Oren Nuriel, Srikar Appalaraju, Shabnam Ghadar, Vijay Mahadevan, Zhuowen Tu, Stefano Soatto:
Enhancing Vision-Language Pre-training with Rich Supervisions. CoRR abs/2403.03346 (2024) - [i20]Varun Nagaraj Rao, Siddharth Choudhary, Aditya Deshpande, Ravi Kumar Satzoda, Srikar Appalaraju:
RAVEN: Multitask Retrieval Augmented Vision-Language Learning. CoRR abs/2406.19150 (2024) - [i19]Ofir Abramovich, Niv Nayman, Sharon Fogel, Inbal Lavi, Ron Litman, Shahar Tsiper, Royee Tichauer, Srikar Appalaraju, Shai Mazor, R. Manmatha:
VisFocus: Prompt-Guided Vision Encoders for OCR-Free Dense Document Understanding. CoRR abs/2407.12594 (2024) - [i18]Sungnyun Kim, Haofu Liao, Srikar Appalaraju, Peng Tang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan, Stefano Soatto:
DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models. CoRR abs/2410.03061 (2024) - 2023
- [i17]Yash Patel, Yusheng Xie, Yi Zhu, Srikar Appalaraju, R. Manmatha:
SimCon Loss with Multiple Views for Text Supervised Semantic Segmentation. CoRR abs/2302.03432 (2023) - [i16]Srikar Appalaraju, Peng Tang, Qi Dong, Nishant Sankaran, Yichu Zhou, R. Manmatha:
DocFormerv2: Local Features for Document Understanding. CoRR abs/2306.01733 (2023) - [i15]Yoshinari Fujinuma, Siddharth Varia, Nishant Sankaran, Srikar Appalaraju, Bonan Min, Yogarshi Vyas:
A Multi-Modal Multilingual Benchmark for Document Image Classification. CoRR abs/2310.16356 (2023) - [i14]Peng Tang, Srikar Appalaraju, R. Manmatha, Yusheng Xie, Vijay Mahadevan:
Multiple-Question Multiple-Answer Text-VQA. CoRR abs/2311.08622 (2023) - [i13]Peng Tang, Pengkai Zhu, Tian Li, Srikar Appalaraju, Vijay Mahadevan, R. Manmatha:
DEED: Dynamic Early Exit on Decoder for Accelerating Encoder-Decoder Transformer Models. CoRR abs/2311.08623 (2023) - 2022
- [i12]Simone Bombari, Alessandro Achille, Zijian Wang, Yu-Xiang Wang, Yusheng Xie, Kunwar Yashraj Singh, Srikar Appalaraju, Vijay Mahadevan, Stefano Soatto:
Towards Differential Relational Privacy and its use in Question Answering. CoRR abs/2203.16701 (2022) - [i11]Xiaoshuai Hao, Yi Zhu, Srikar Appalaraju, Aston Zhang, Wanqian Zhang, Bo Li, Mu Li:
MixGen: A New Multi-Modal Data Augmentation. CoRR abs/2206.08358 (2022) - [i10]Chih-Hui Ho
, Srikar Appalaraju, Bhavan Jasani, R. Manmatha, Nuno Vasconcelos:
YORO - Lightweight End to End Visual Grounding. CoRR abs/2211.07912 (2022) - 2021
- [i9]Srikar Appalaraju, Bhavan Jasani, Bhargava Urala Kota, Yusheng Xie, R. Manmatha:
DocFormer: End-to-End Transformer for Document Understanding. CoRR abs/2106.11539 (2021) - [i8]Ali Furkan Biten, Ron Litman, Yusheng Xie, Srikar Appalaraju, R. Manmatha:
LaTr: Layout-Aware Transformer for Scene-Text VQA. CoRR abs/2112.12494 (2021) - 2020
- [i7]Yash Patel, Srikar Appalaraju, R. Manmatha:
Hierarchical Auto-Regressive Model for Image Compression Incorporating Object Saliency and a Deep Perceptual Loss. CoRR abs/2002.04988 (2020) - [i6]Srikar Appalaraju, Yi Zhu, Yusheng Xie, István Fehérvári:
Towards Good Practices in Self-supervised Representation Learning. CoRR abs/2012.00868 (2020) - 2019
- [i5]Yash Patel, Srikar Appalaraju, R. Manmatha:
Deep Perceptual Compression. CoRR abs/1907.08310 (2019) - [i4]Yash Patel, Srikar Appalaraju, R. Manmatha:
Human Perceptual Evaluations for Image Compression. CoRR abs/1908.04187 (2019) - [i3]István Fehérvári, Avinash Ravichandran, Srikar Appalaraju:
Unbiased Evaluation of Deep Metric Learning Algorithms. CoRR abs/1911.12528 (2019) - 2018
- [i2]István Fehérvári, Srikar Appalaraju:
Scalable Logo Recognition using Proxies. CoRR abs/1811.08009 (2018) - 2017
- [i1]Srikar Appalaraju, Vineet Chaoji:
Image similarity using Deep CNN and Curriculum Learning. CoRR abs/1709.08761 (2017)
Coauthor Index
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