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ORCIDVignesh Ramanathan
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2020 – today
- 2024
[j5]Lakshmi Annamalai
, Vignesh Ramanathan, Chetan Singh Thakur:
EventMASK: A Frame-Free Rapid Human Instance Segmentation With Event Camera Through Constrained Mask Propagation. IEEE Robotics Autom. Lett. 9(4): 3948-3955 (2024)- 2023
- [c26]Adithya Krishna, Vignesh Ramanathan, Satyapreet Singh Yadav, Sahil Shah, André van Schaik, Mahesh Mehendale, Chetan Singh Thakur:
A Sparsity-driven tinyML Accelerator for Decoding Hand Kinematics in Brain-Computer Interfaces. BioCAS 2023: 1-5 - [c25]Filip Radenovic, Abhimanyu Dubey, Abhishek Kadian, Todor Mihaylov, Simon Vandenhende, Yash Patel, Yi Wen, Vignesh Ramanathan, Dhruv Mahajan:
Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training. CVPR 2023: 6967-6977 - [c24]Vignesh Ramanathan, Anmol Kalia, Vladan Petrovic, Yi Wen, Baixue Zheng, Baishan Guo, Rui Wang, Aaron Marquez, Rama Kovvuri, Abhishek Kadian, Amir Mousavi, Yiwen Song, Abhimanyu Dubey, Dhruv Mahajan:
PACO: Parts and Attributes of Common Objects. CVPR 2023: 7141-7151 - [c23]Jang Hyun Cho, Philipp Krähenbühl, Vignesh Ramanathan:
PartDistillation: Learning Parts from Instance Segmentation. CVPR 2023: 7152-7161 - [i13]Vignesh Ramanathan, Anmol Kalia, Vladan Petrovic, Yi Wen, Baixue Zheng, Baishan Guo, Rui Wang, Aaron Marquez, Rama Kovvuri, Abhishek Kadian, Amir Mousavi, Yiwen Song, Abhimanyu Dubey, Dhruv Mahajan:
PACO: Parts and Attributes of Common Objects. CoRR abs/2301.01795 (2023) - [i12]Filip Radenovic, Abhimanyu Dubey, Abhishek Kadian, Todor Mihaylov, Simon Vandenhende, Yash Patel, Yi Wen, Vignesh Ramanathan, Dhruv Mahajan:
Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training. CoRR abs/2301.02280 (2023) - [i11]Xiaoliang Dai, Ji Hou, Chih-Yao Ma, Sam S. Tsai, Jialiang Wang, Rui Wang, Peizhao Zhang, Simon Vandenhende, Xiaofang Wang, Abhimanyu Dubey, Matthew Yu, Abhishek Kadian, Filip Radenovic, Dhruv Mahajan, Kunpeng Li, Yue Zhao, Vladan Petrovic, Mitesh Kumar Singh, Simran Motwani, Yi Wen, Yiwen Song, Roshan Sumbaly, Vignesh Ramanathan, Zijian He, Peter Vajda, Devi Parikh:
Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack. CoRR abs/2309.15807 (2023) - [i10]Ivona Najdenkoska, Animesh Sinha, Abhimanyu Dubey, Dhruv Mahajan, Vignesh Ramanathan, Filip Radenovic:
Context Diffusion: In-Context Aware Image Generation. CoRR abs/2312.03584 (2023) - 2022
- [j4]Lakshmi Annamalai, Vignesh Ramanathan, Chetan Singh Thakur:
Event-LSTM: An Unsupervised and Asynchronous Learning-Based Representation for Event-Based Data. IEEE Robotics Autom. Lett. 7(2): 4678-4685 (2022) - 2021
- [c22]Qing Liu, Vignesh Ramanathan, Dhruv Mahajan, Alan L. Yuille, Zhenheng Yang:
Weakly Supervised Instance Segmentation for Videos With Temporal Mask Consistency. CVPR 2021: 13968-13978 - [c21]Abhimanyu Dubey, Vignesh Ramanathan, Alex Pentland, Dhruv Mahajan:
Adaptive Methods for Real-World Domain Generalization. CVPR 2021: 14340-14349 - [c20]Vignesh Ramanathan, Rui Wang, Dhruv Mahajan:
PreDet: Large-scale weakly supervised pre-training for detection. ICCV 2021: 2845-2855 - [i9]Qing Liu, Vignesh Ramanathan, Dhruv Mahajan, Alan L. Yuille, Zhenheng Yang:
Weakly Supervised Instance Segmentation for Videos with Temporal Mask Consistency. CoRR abs/2103.12886 (2021) - [i8]Abhimanyu Dubey, Vignesh Ramanathan, Alex Pentland, Dhruv Mahajan:
Adaptive Methods for Real-World Domain Generalization. CoRR abs/2103.15796 (2021) - [i7]Lakshmi Annamalai, Vignesh Ramanathan, Chetan Singh Thakur:
Event-LSTM: An Unsupervised and Asynchronous Learning-based Representation for Event-based Data. CoRR abs/2105.04216 (2021) - 2020
- [c19]Vignesh Ramanathan, Rui Wang, Dhruv Mahajan:
DLWL: Improving Detection for Lowshot Classes With Weakly Labelled Data. CVPR 2020: 9339-9349 - [c18]Rui Wang, Dhruv Mahajan, Vignesh Ramanathan:
What Leads to Generalization of Object Proposals? ECCV Workshops (2) 2020: 464-478 - [c17]Vignesh Ramanathan, Pritesh Dwivedi, Bharath Katabathuni, Anirban Chakraborty, Chetan Singh Thakur:
QUICKSAL: A small and sparse visual saliency model for efficient inference in resource constrained hardware. WACV 2020: 1667-1677 - [i6]Rui Wang, Dhruv Mahajan, Vignesh Ramanathan:
What leads to generalization of object proposals? CoRR abs/2008.05700 (2020)
2010 – 2019
- 2019
- [c16]Zhenheng Yang, Dhruv Mahajan, Deepti Ghadiyaram, Ram Nevatia, Vignesh Ramanathan:
Activity Driven Weakly Supervised Object Detection. CVPR 2019: 2917-2926 - [i5]Zhenheng Yang, Dhruv Mahajan, Deepti Ghadiyaram, Ram Nevatia, Vignesh Ramanathan:
Activity Driven Weakly Supervised Object Detection. CoRR abs/1904.01665 (2019) - 2018
- [c15]De-An Huang, Vignesh Ramanathan, Dhruv Mahajan, Lorenzo Torresani, Manohar Paluri, Li Fei-Fei, Juan Carlos Niebles:
What Makes a Video a Video: Analyzing Temporal Information in Video Understanding Models and Datasets. CVPR 2018: 7366-7375 - [c14]Dhruv Mahajan, Ross B. Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, Laurens van der Maaten:
Exploring the Limits of Weakly Supervised Pretraining. ECCV (2) 2018: 185-201 - [i4]Dhruv Mahajan, Ross B. Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, Laurens van der Maaten:
Exploring the Limits of Weakly Supervised Pretraining. CoRR abs/1805.00932 (2018) - 2017
- [c13]Serena Yeung, Vignesh Ramanathan, Olga Russakovsky, Liyue Shen, Greg Mori, Li Fei-Fei:
Learning to Learn from Noisy Web Videos. CVPR 2017: 7455-7463 - [p3]Alexandre Alahi, Vignesh Ramanathan, Li Fei-Fei:
Tracking Millions of Humans in Crowded Spaces. Group and Crowd Behavior for Computer Vision 2017: 115-135 - [p2]Alexandre Alahi, Vignesh Ramanathan, Kratarth Goel, Alexandre Robicquet, Amir A. Sadeghian, Li Fei-Fei, Silvio Savarese:
Learning to Predict Human Behavior in Crowded Scenes. Group and Crowd Behavior for Computer Vision 2017: 183-207 - [i3]Serena Yeung, Vignesh Ramanathan, Olga Russakovsky, Liyue Shen, Greg Mori, Li Fei-Fei:
Learning to Learn from Noisy Web Videos. CoRR abs/1706.02884 (2017) - 2016
- [c12]Alexandre Alahi, Kratarth Goel, Vignesh Ramanathan, Alexandre Robicquet, Li Fei-Fei, Silvio Savarese:
Social LSTM: Human Trajectory Prediction in Crowded Spaces. CVPR 2016: 961-971 - [c11]Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija, Alexander N. Gorban, Kevin Murphy, Li Fei-Fei:
Detecting Events and Key Actors in Multi-person Videos. CVPR 2016: 3043-3053 - 2015
- [c10]Vignesh Ramanathan, Congcong Li, Jia Deng, Wei Han, Zhen Li, Kunlong Gu, Yang Song, Samy Bengio, Chuck Rosenberg, Li Fei-Fei:
Learning semantic relationships for better action retrieval in images. CVPR 2015: 1100-1109 - [c9]Vignesh Ramanathan, Kevin D. Tang, Greg Mori, Li Fei-Fei:
Learning Temporal Embeddings for Complex Video Analysis. ICCV 2015: 4471-4479 - [i2]Vignesh Ramanathan, Kevin D. Tang, Greg Mori, Li Fei-Fei:
Learning Temporal Embeddings for Complex Video Analysis. CoRR abs/1505.00315 (2015) - [i1]Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija, Alexander N. Gorban, Kevin Murphy, Li Fei-Fei:
Detecting events and key actors in multi-person videos. CoRR abs/1511.02917 (2015) - 2014
- [j3]Arijit Sur, Vignesh Ramanathan, Jayanta Mukherjee:
Pixel rearrangement based statistical restoration scheme reducing embedding noise. Multim. Tools Appl. 68(3): 805-825 (2014) - [c8]Alexandre Alahi, Vignesh Ramanathan, Li Fei-Fei:
Socially-Aware Large-Scale Crowd Forecasting. CVPR 2014: 2211-2218 - [c7]Vignesh Ramanathan, Armand Joulin, Percy Liang, Li Fei-Fei:
Linking People in Videos with "Their" Names Using Coreference Resolution. ECCV (1) 2014: 95-110 - [p1]Vignesh Ramanathan, Bangpeng Yao, Li Fei-Fei:
Social Role Recognition for Human Event Understanding. Human-Centered Social Media Analytics 2014: 75-93 - 2013
- [c6]Vignesh Ramanathan, Bangpeng Yao, Li Fei-Fei:
Social Role Discovery in Human Events. CVPR 2013: 2475-2482 - [c5]Vignesh Ramanathan, Percy Liang, Li Fei-Fei:
Video Event Understanding Using Natural Language Descriptions. ICCV 2013: 905-912 - [c4]Sangmin Oh, A. G. Amitha Perera, Ilseo Kim, Megha Pandey, Kevin J. Cannons, Hossein Hajimirsadeghi, Arash Vahdat, Greg Mori, Ben Miller, Scott McCloskey, You-Chi Cheng, Zhen Huang, Chin-Hui Lee, Chenliang Xu, Rohit Kumar, Wei Chen, Jason J. Corso, Li Fei-Fei, Daphne Koller, Vignesh Ramanathan, Kevin Tang, Armand Joulin, Alexandre Alahi:
TRECVID 2013 GENIE: Multimedia Event Detection and Recounting. TRECVID 2013 - 2012
- [j2]Arijit Sur, Vignesh Ramanathan, Jayanta Mukherjee:
Secure Steganography Using Randomized Cropping. Trans. Data Hiding Multim. Secur. 7: 82-95 (2012) - [c3]Kevin D. Tang, Vignesh Ramanathan, Li Fei-Fei, Daphne Koller:
Shifting Weights: Adapting Object Detectors from Image to Video. NIPS 2012: 647-655 - 2011
- [c2]Vignesh Ramanathan, Axel Pinz:
Active Object Categorization on a Humanoid Robot. VISAPP 2011: 235-241 - [c1]Vignesh Ramanathan, Shaunak Mishra, Pabitra Mitra:
Quadtree decomposition based extended vector space model for image retrieval. WACV 2011: 139-144 - 2010
- [j1]Vignesh Ramanathan, Byung Tae Oh, C.-C. Jay Kuo:
Fast Non-Local Means (NLM) Computation With Probabilistic Early Termination. IEEE Signal Process. Lett. 17(3): 277-280 (2010)
Coauthor Index
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