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Event-LSTM: An Unsupervised and Asynchronous Learning-based Representation for Event-based Data

May 10, 2021
Lakshmi Annamalai, Vignesh Ramanathan, Chetan Singh Thakur

* 7 pages, 8 figures, 2 tables 

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Adaptive Methods for Real-World Domain Generalization

Mar 30, 2021
Abhimanyu Dubey, Vignesh Ramanathan, Alex Pentland, Dhruv Mahajan

* To appear as an oral presentation in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021. v2 corrects double printing of appendix 

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Weakly Supervised Instance Segmentation for Videos with Temporal Mask Consistency

Mar 23, 2021
Qing Liu, Vignesh Ramanathan, Dhruv Mahajan, Alan Yuille, Zhenheng Yang

* 14 pages, 8 figures, accepted by CVPR 2021 

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What leads to generalization of object proposals?

Aug 13, 2020
Rui Wang, Dhruv Mahajan, Vignesh Ramanathan

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Activity Driven Weakly Supervised Object Detection

Apr 02, 2019
Zhenheng Yang, Dhruv Mahajan, Deepti Ghadiyaram, Ram Nevatia, Vignesh Ramanathan

* CVPR'19 camera ready 

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Exploring the Limits of Weakly Supervised Pretraining

May 02, 2018
Dhruv Mahajan, Ross Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, Laurens van der Maaten

* Technical report 

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Learning to Learn from Noisy Web Videos

Jun 09, 2017
Serena Yeung, Vignesh Ramanathan, Olga Russakovsky, Liyue Shen, Greg Mori, Li Fei-Fei

* To appear in CVPR 2017 

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Detecting events and key actors in multi-person videos

Mar 17, 2016
Vignesh Ramanathan, Jonathan Huang, Sami Abu-El-Haija, Alexander Gorban, Kevin Murphy, Li Fei-Fei

* Accepted for publication in CVPR'16 

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Learning Temporal Embeddings for Complex Video Analysis

May 02, 2015
Vignesh Ramanathan, Kevin Tang, Greg Mori, Li Fei-Fei

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