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2020 – today
- 2024
[j1]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:
DINOv2: Learning Robust Visual Features without Supervision. Trans. Mach. Learn. Res. 2024 (2024)- [c18]Jack Urbanek, Florian Bordes, Pietro Astolfi, Mary Williamson, Vasu Sharma, Adriana Romero-Soriano:
A Picture is Worth More Than 77 Text Tokens: Evaluating CLIP-Style Models on Dense Captions. CVPR 2024: 26690-26699 - [c17]Hu Xu, Saining Xie, Xiaoqing Ellen Tan, Po-Yao Huang, Russell Howes, Vasu Sharma, Shang-Wen Li, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer:
Demystifying CLIP Data. ICLR 2024 - [c16]Jacob Zhiyuan Fang, Skyler Zheng, Vasu Sharma, Robinson Piramuthu:
ε-ViLM : Efficient Video-Language Model via Masked Video Modeling with Semantic Vector-Quantized Tokenizer. WACV (Workshops) 2024: 529-540 - [i16]Sainbayar Sukhbaatar, Olga Golovneva, Vasu Sharma, Hu Xu, Xi Victoria Lin, Baptiste Rozière, Jacob Kahn, Daniel Li, Wen-tau Yih, Jason Weston, Xian Li:
Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM. CoRR abs/2403.07816 (2024) - [i15]Vasu Sharma, Karthik Padthe, Newsha Ardalani, Kushal Tirumala, Russell Howes, Hu Xu, Po-Yao Huang, Shang-Wen Li, Armen Aghajanyan, Gargi Ghosh, Luke Zettlemoyer:
Text Quality-Based Pruning for Efficient Training of Language Models. CoRR abs/2405.01582 (2024) - [i14]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:
An Introduction to Vision-Language Modeling. CoRR abs/2405.17247 (2024) - [i13]Niyar R. Barman, Krish Sharma, Ashhar Aziz, Shashwat Bajpai, Shwetangshu Biswas
, Vasu Sharma, Vinija Jain, Aman Chadha, Amit P. Sheth, Amitava Das:
The Brittleness of AI-Generated Image Watermarking Techniques: Examining Their Robustness Against Visual Paraphrasing Attacks. CoRR abs/2408.10446 (2024) - 2023
- [c15]Ching-Feng Yeh, Po-Yao Huang, Vasu Sharma, Shang-Wen Li, Gargi Ghosh:
Flap: Fast Language-Audio Pre-Training. ASRU 2023: 1-8 - [c14]Manan Khasgiwale, Vasu Sharma, Shivakant Mishra, Biljith Thadichi, Jaiber John, Rahul Khanna:
Shimmy: Accelerating Inter-Container Communication for the IoT Edge. GLOBECOM 2023: 4461-4466 - [c13]Po-Yao Huang, Vasu Sharma, Hu Xu, Chaitanya Ryali, Haoqi Fan, Yanghao Li, Shang-Wen Li, Gargi Ghosh, Jitendra Malik, Christoph Feichtenhofer:
MAViL: Masked Audio-Video Learners. NeurIPS 2023 - [c12]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:
Alexa Arena: A User-Centric Interactive Platform for Embodied AI. NeurIPS 2023 - [i12]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:
Alexa Arena: A User-Centric Interactive Platform for Embodied AI. CoRR abs/2303.01586 (2023) - [i11]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:
DINOv2: Learning Robust Visual Features without Supervision. CoRR abs/2304.07193 (2023) - [i10]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:
Alexa, play with robot: Introducing the First Alexa Prize SimBot Challenge on Embodied AI. CoRR abs/2308.05221 (2023) - [i9]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:
Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning. CoRR abs/2309.02591 (2023) - [i8]Hu Xu, Saining Xie, Xiaoqing Ellen Tan, Po-Yao Huang, Russell Howes, Vasu Sharma, Shang-Wen Li, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer:
Demystifying CLIP Data. CoRR abs/2309.16671 (2023) - [i7]Ching-Feng Yeh, Po-Yao Huang, Vasu Sharma, Shang-Wen Li, Gargi Ghosh:
FLAP: Fast Language-Audio Pre-training. CoRR abs/2311.01615 (2023) - [i6]Jacob Zhiyuan Fang, Skyler Zheng, Vasu Sharma, Robinson Piramuthu:
E-ViLM: Efficient Video-Language Model via Masked Video Modeling with Semantic Vector-Quantized Tokenizer. CoRR abs/2311.17267 (2023) - [i5]Jack Urbanek, Florian Bordes, Pietro Astolfi, Mary Williamson, Vasu Sharma, Adriana Romero-Soriano:
A Picture is Worth More Than 77 Text Tokens: Evaluating CLIP-Style Models on Dense Captions. CoRR abs/2312.08578 (2023) - 2022
- [c11]Ramit Sawhney, Megh Thakkar, Ritesh Soun, Atula Tejaswi Neerkaje, Vasu Sharma, Dipanwita Guhathakurta, Sudheer Chava:
Tweet Based Reach Aware Temporal Attention Network for NFT Valuation. EMNLP (Findings) 2022: 6321-6332 - [c10]Ramit Sawhney, Megh Thakkar, Vishwa Shah, Puneet Mathur, Vasu Sharma, Dinesh Manocha:
PISA: PoIncaré Saliency-Aware Interpolative Augmentation. INTERSPEECH 2022: 2663-2667 - [i4]Vasu Sharma, Prasoon Goyal, Kaixiang Lin, Govind Thattai, Qiaozi Gao, Gaurav S. Sukhatme:
CH-MARL: A Multimodal Benchmark for Cooperative, Heterogeneous Multi-Agent Reinforcement Learning. CoRR abs/2208.13626 (2022) - [i3]Po-Yao Huang, Vasu Sharma, Hu Xu, Chaitanya Ryali, Haoqi Fan, Yanghao Li, Shang-Wen Li, Gargi Ghosh, Jitendra Malik, Christoph Feichtenhofer:
MAViL: Masked Audio-Video Learners. CoRR abs/2212.08071 (2022)
2010 – 2019
- 2019
- [c9]Akshat Agarwal, Swaminathan Gurumurthy, Vasu Sharma, Mike Lewis, Katia P. Sycara:
Community Regularization of Visually-Grounded Dialog. AAMAS 2019: 1042-1050 - [c8]Ankit Parag Shah, Vasu Sharma, Vaibhav Vaibhav, Mahmoud Alismail, Louis-Philippe Morency:
Multimodal Behavioral Markers Exploring Suicidal Intent in Social Media Videos. ICMI 2019: 409-413 - [i2]Vasu Sharma, Ankita Kalra, Louis-Philippe Morency:
Induced Attention Invariance: Defending VQA Models against Adversarial Attacks. ViGIL@NeurIPS 2019 - 2018
- [c7]Vasu Sharma, Nitish Kulkarni, Srividya Pranavi, Gabriel Bayomi, Eric Nyberg, Teruko Mitamura:
BioAMA: Towards an End to End BioMedical Question Answering System. BioNLP 2018: 109-117 - [c6]Vasu Sharma, Harsh Sharma, Ankita Bishnu, Labhesh Patel:
Cyclegen: Cyclic consistency based product review generator from attributes. INLG 2018: 426-430 - [i1]Akshat Agarwal, Swaminathan Gurumurthy, Vasu Sharma, Katia P. Sycara:
Mind Your Language: Learning Visually Grounded Dialog in a Multi-Agent Setting. CoRR abs/1808.04359 (2018) - 2017
- [c5]Vasu Sharma, Ankita Bishnu, Labhesh Patel:
Segmentation Guided Attention Networks for Visual Question Answering. ACL (Student Research Workshop) 2017: 43-48 - 2016
- [c4]Vasu Sharma, Harish Karnick:
Automatic tagging and retrieval of E-Commerce products based on visual features. SRW@HLT-NAACL 2016: 22-28 - 2015
- [c3]Vasu Sharma:
A Deep Neural Network based approach for vocal extraction from songs. ICSIPA 2015: 116-121 - [c2]Vasu Sharma, Akshay Kumar, Nishant Agrawal, Puneet Singh, Rajat Kulshreshtha:
Image summarization using topic modelling. ICSIPA 2015: 226-231 - [c1]Vasu Sharma, Rajat Kulshreshtha, Puneet Singh, Nishant Agrawal, Akshay Kumar:
Analyzing Newspaper Crime Reports for Identification of Safe Transit Paths. HLT-NAACL 2015: 17-24
Coauthor Index
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last updated on 2024-10-08 20:31 CEST by the dblp team
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