Vasu Sharma

According to our database, Vasu Sharma authored at least 31 papers between 2015 and 2024.

Collaborative distances:

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

2024

DINOv2: Learning Robust Visual Features without Supervision.

Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy V. Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, Mido Assran, Nicolas Ballas, Wojciech Galuba, Russell Howes, Po-Yao Huang, Shang-Wen Li, Ishan Misra, Michael Rabbat, Vasu Sharma, Gabriel Synnaeve, Hu Xu, Hervé Jégou, Julien Mairal, Patrick Labatut, Armand Joulin, Piotr Bojanowski

Trans. Mach. Learn. Res., 2024

The Brittleness of AI-Generated Image Watermarking Techniques: Examining Their Robustness Against Visual Paraphrasing Attacks.

Niyar R. Barman, Krish Sharma, Ashhar Aziz, Shashwat Bajpai, Shwetangshu Biswas, Vasu Sharma, Vinija Jain, Aman Chadha, Amit P. Sheth, Amitava Das

CoRR, 2024

An Introduction to Vision-Language Modeling.

Florian Bordes, Richard Yuanzhe Pang, Anurag Ajay, Alexander C. Li, Adrien Bardes, Suzanne Petryk, Oscar Mañas, Zhiqiu Lin, Anas Mahmoud, Bargav Jayaraman, Mark Ibrahim, Melissa Hall, Yunyang Xiong, Jonathan Lebensold, Candace Ross, Srihari Jayakumar, Chuan Guo, Diane Bouchacourt, Haider Al-Tahan, Karthik Padthe, Vasu Sharma, Hu Xu, Xiaoqing Ellen Tan, Megan Richards, Samuel Lavoie, Pietro Astolfi, Reyhane Askari Hemmat, Jun Chen, Kushal Tirumala, Rim Assouel, Mazda Moayeri, Arjang Talattof, Kamalika Chaudhuri, Zechun Liu, Xilun Chen, Quentin Garrido, Karen Ullrich, Aishwarya Agrawal, Kate Saenko, Asli Celikyilmaz, Vikas Chandra

CoRR, 2024

Text Quality-Based Pruning for Efficient Training of Language Models.

Vasu Sharma, Karthik Padthe, Newsha Ardalani, Kushal Tirumala, Russell Howes, Hu Xu, Po-Yao Huang, Shang-Wen Li, Armen Aghajanyan, Gargi Ghosh, Luke Zettlemoyer

CoRR, 2024

Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM.

Sainbayar Sukhbaatar, Olga Golovneva, Vasu Sharma, Hu Xu, Xi Victoria Lin, Baptiste Rozière, Jacob Kahn, Daniel Li, Wen-tau Yih, Jason Weston, Xian Li

CoRR, 2024

ε-ViLM : Efficient Video-Language Model via Masked Video Modeling with Semantic Vector-Quantized Tokenizer.

Jacob Zhiyuan Fang, Skyler Zheng, Vasu Sharma, Robinson Piramuthu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024

Demystifying CLIP Data.

Hu Xu, Saining Xie, Xiaoqing Ellen Tan, Po-Yao Huang, Russell Howes, Vasu Sharma, Shang-Wen Li, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer

Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Picture is Worth More Than 77 Text Tokens: Evaluating CLIP-Style Models on Dense Captions.

Jack Urbanek, Florian Bordes, Pietro Astolfi, Mary Williamson, Vasu Sharma, Adriana Romero-Soriano

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

E-ViLM: Efficient Video-Language Model via Masked Video Modeling with Semantic Vector-Quantized Tokenizer.

Jacob Zhiyuan Fang, Skyler Zheng, Vasu Sharma, Robinson Piramuthu

CoRR, 2023

Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning.

Lili Yu, Bowen Shi, Ramakanth Pasunuru, Benjamin Muller, Olga Golovneva, Tianlu Wang, Arun Babu, Binh Tang, Brian Karrer, Shelly Sheynin, Candace Ross, Adam Polyak, Russell Howes, Vasu Sharma, Puxin Xu, Hovhannes Tamoyan, Oron Ashual, Uriel Singer, Shang-Wen Li, Susan Zhang, Richard James, Gargi Ghosh, Yaniv Taigman, Maryam Fazel-Zarandi, Asli Celikyilmaz, Luke Zettlemoyer, Armen Aghajanyan

CoRR, 2023

Alexa, play with robot: Introducing the First Alexa Prize SimBot Challenge on Embodied AI.

Hangjie Shi, Leslie Ball, Govind Thattai, Desheng Zhang, Lucy Hu, Qiaozi Gao, Suhaila Shakiah, Xiaofeng Gao, Aishwarya Padmakumar, Bofei Yang, Cadence Chung, Dinakar Guthy, Gaurav S. Sukhatme, Karthika Arumugam, Matthew Wen, Osman Ipek, Patrick Lange, Rohan Khanna, Shreyas Pansare, Vasu Sharma, Chao Zhang, Cris Flagg, Daniel Pressel, Lavina Vaz, Luke Dai, Prasoon Goyal, Sattvik Sahai, Shaohua Liu, Yao Lu, Anna Gottardi, Shui Hu, Yang Liu, Dilek Hakkani-Tur, Kate Bland, Heather Rocker, James Jeun, Yadunandana Rao, Michael Johnston, Akshaya Iyengar, Arindam Mandal, Prem Natarajan, Reza Ghanadan

CoRR, 2023

DINOv2: Learning Robust Visual Features without Supervision.

Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy V. Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel Haziza, Francisco Massa, Alaaeldin El-Nouby, Mahmoud Assran, Nicolas Ballas, Wojciech Galuba, Russell Howes, Po-Yao Huang, Shang-Wen Li, Ishan Misra, Michael G. Rabbat, Vasu Sharma, Gabriel Synnaeve, Hu Xu, Hervé Jégou, Julien Mairal, Patrick Labatut, Armand Joulin, Piotr Bojanowski

CoRR, 2023

Alexa Arena: A User-Centric Interactive Platform for Embodied AI.

Qiaozi Gao, Govind Thattai, Xiaofeng Gao, Suhaila Shakiah, Shreyas Pansare, Vasu Sharma, Gaurav S. Sukhatme, Hangjie Shi, Bofei Yang, Desheng Zheng, Lucy Hu, Karthika Arumugam, Shui Hu, Matthew Wen, Dinakar Guthy, Cadence Chung, Rohan Khanna, Osman Ipek, Leslie Ball, Kate Bland, Heather Rocker, Yadunandana Rao, Michael Johnston, Reza Ghanadan, Arindam Mandal, Dilek Hakkani-Tür, Prem Natarajan

CoRR, 2023

Alexa Arena: A User-Centric Interactive Platform for Embodied AI.

Qiaozi Gao, Govind Thattai, Suhaila Shakiah, Xiaofeng Gao, Shreyas Pansare, Vasu Sharma, Gaurav S. Sukhatme, Hangjie Shi, Bofei Yang, Desheng Zhang, Lucy Hu, Karthika Arumugam, Shui Hu, Matthew Wen, Dinakar Guthy, Shunan Chung, Rohan Khanna, Osman Ipek, Leslie Ball, Kate Bland, Heather Rocker, Michael Johnston, Reza Ghanadan, Dilek Hakkani-Tur, Prem Natarajan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MAViL: Masked Audio-Video Learners.

Po-Yao Huang, Vasu Sharma, Hu Xu, Chaitanya Ryali, Haoqi Fan, Yanghao Li, Shang-Wen Li, Gargi Ghosh, Jitendra Malik, Christoph Feichtenhofer

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Shimmy: Accelerating Inter-Container Communication for the IoT Edge.

Manan Khasgiwale, Vasu Sharma, Shivakant Mishra, Biljith Thadichi, Jaiber John, Rahul Khanna

Proceedings of the IEEE Global Communications Conference, 2023

Flap: Fast Language-Audio Pre-Training.

Ching-Feng Yeh, Po-Yao Huang, Vasu Sharma, Shang-Wen Li, Gargi Ghosh

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2022

CH-MARL: A Multimodal Benchmark for Cooperative, Heterogeneous Multi-Agent Reinforcement Learning.

Vasu Sharma, Prasoon Goyal, Kaixiang Lin, Govind Thattai, Qiaozi Gao, Gaurav S. Sukhatme

CoRR, 2022

PISA: PoIncaré Saliency-Aware Interpolative Augmentation.

Ramit Sawhney, Megh Thakkar, Vishwa Shah, Puneet Mathur, Vasu Sharma, Dinesh Manocha

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Tweet Based Reach Aware Temporal Attention Network for NFT Valuation.

Ramit Sawhney, Megh Thakkar, Ritesh Soun, Atula Tejaswi Neerkaje, Vasu Sharma, Dipanwita Guhathakurta, Sudheer Chava

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2019

Induced Attention Invariance: Defending VQA Models against Adversarial Attacks.

Vasu Sharma, Ankita Kalra, Louis-Philippe Morency

Proceedings of the Visually Grounded Interaction and Language (ViGIL), 2019

Multimodal Behavioral Markers Exploring Suicidal Intent in Social Media Videos.

Ankit Parag Shah, Vasu Sharma, Vaibhav Vaibhav, Mahmoud Alismail, Louis-Philippe Morency

Proceedings of the International Conference on Multimodal Interaction, 2019

Community Regularization of Visually-Grounded Dialog.

Akshat Agarwal, Swaminathan Gurumurthy, Vasu Sharma, Mike Lewis, Katia P. Sycara

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

Mind Your Language: Learning Visually Grounded Dialog in a Multi-Agent Setting.

Akshat Agarwal, Swaminathan Gurumurthy, Vasu Sharma, Katia P. Sycara

CoRR, 2018

Cyclegen: Cyclic consistency based product review generator from attributes.

Vasu Sharma, Harsh Sharma, Ankita Bishnu, Labhesh Patel

Proceedings of the 11th International Conference on Natural Language Generation, 2018

BioAMA: Towards an End to End BioMedical Question Answering System.

Vasu Sharma, Nitish Kulkarni, Srividya Pranavi, Gabriel Bayomi, Eric Nyberg, Teruko Mitamura

Proceedings of the BioNLP 2018 workshop, Melbourne, Australia, July 19, 2018, 2018

2017

Segmentation Guided Attention Networks for Visual Question Answering.

Vasu Sharma, Ankita Bishnu, Labhesh Patel

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Automatic tagging and retrieval of E-Commerce products based on visual features.

Vasu Sharma, Harish Karnick

Proceedings of the Student Research Workshop, 2016

2015

Analyzing Newspaper Crime Reports for Identification of Safe Transit Paths.

Vasu Sharma, Rajat Kulshreshtha, Puneet Singh, Nishant Agrawal, Akshay Kumar

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Image summarization using topic modelling.

Vasu Sharma, Akshay Kumar, Nishant Agrawal, Puneet Singh, Rajat Kulshreshtha

Proceedings of the 2015 IEEE International Conference on Signal and Image Processing Applications, 2015

A Deep Neural Network based approach for vocal extraction from songs.

Vasu Sharma

Proceedings of the 2015 IEEE International Conference on Signal and Image Processing Applications, 2015