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Mihir Jain
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2020 – today
- 2023
- [c21]Juntae Lee, Mihir Jain, Sungrack Yun:
Few-Shot Common Action Localization via Cross-Attentional Fusion of Context and Temporal Dynamics. ICCV 2023: 10180-10189 - [i9]Mihir Jain, Kashish Jain, Sandip Mane:
Machine Learning to Estimate Gross Loss of Jewelry for Wax Patterns. CoRR abs/2301.02872 (2023) - [i8]Mihir Jain:
Lung Diseases Image Segmentation using Faster R-CNNs. CoRR abs/2309.06386 (2023) - 2022
- [c20]Jun-Tae Lee, Sungrack Yun, Mihir Jain:
Leaky Gated Cross-Attention for Weakly Supervised Multi-Modal Temporal Action Localization. WACV 2022: 817-826 - 2021
- [c19]Mihir Jain, Haitam Ben Yahia, Amir Ghodrati, Amirhossein Habibian, Fatih Porikli:
Conditional Model Selection for Efficient Video Understanding. BMVC 2021: 312 - [c18]Mihir Jain, Tanmay Sharma, Aman, Shruti Singh
, Mayank Singh:
Genealogical Tree Construction of Research Paper. COMAD/CODS 2021: 435 - [c17]Kirill Gavrilyuk, Mihir Jain, Ilia Karmanov, Cees G. M. Snoek:
Motion-Augmented Self-Training for Video Recognition at Smaller Scale. ICCV 2021: 10409-10418 - [c16]Hanul Kim, Mihir Jain, Jun-Tae Lee, Sungrack Yun, Fatih Porikli:
Efficient Action Recognition via Dynamic Knowledge Propagation. ICCV 2021: 13699-13708 - [c15]Jun-Tae Lee, Mihir Jain, Hyoungwoo Park, Sungrack Yun:
Cross-Attentional Audio-Visual Fusion for Weakly-Supervised Action Localization. ICLR 2021 - [i7]Kirill Gavrilyuk, Mihir Jain, Ilia Karmanov, Cees G. M. Snoek:
Motion-Augmented Self-Training for Video Recognition at Smaller Scale. CoRR abs/2105.01646 (2021) - 2020
- [j4]Victor Escorcia
Guess where? Actor-supervision for spatiotemporal action localization. Comput. Vis. Image Underst. 192: 102886 (2020) - [c14]Mihir Jain, Amir Ghodrati, Cees G. M. Snoek:
ActionBytes: Learning From Trimmed Videos to Localize Actions. CVPR 2020: 1168-1177 - [i6]Noureldien Hussein
TimeGate: Conditional Gating of Segments in Long-range Activities. CoRR abs/2004.01808 (2020)
2010 – 2019
- 2019
- [i5]Mihir Jain, Kyle Brown, Ahmed K. Sadek:
Multi-Fidelity Recursive Behavior Prediction. CoRR abs/1901.01831 (2019) - 2018
- [j3]Zhenyang Li, Kirill Gavrilyuk, Efstratios Gavves, Mihir Jain, Cees G. M. Snoek:
VideoLSTM convolves, attends and flows for action recognition. Comput. Vis. Image Underst. 166: 41-50 (2018) - [i4]Victor Escorcia
Guess Where? Actor-Supervision for Spatiotemporal Action Localization. CoRR abs/1804.01824 (2018) - 2017
- [j2]Mihir Jain
Tubelets: Unsupervised Action Proposals from Spatiotemporal Super-Voxels. Int. J. Comput. Vis. 124(3): 287-311 (2017) - 2016
- [i3]Zhenyang Li, Efstratios Gavves, Mihir Jain, Cees G. M. Snoek:
VideoLSTM Convolves, Attends and Flows for Action Recognition. CoRR abs/1607.01794 (2016) - [i2]Mihir Jain, Jan C. van Gemert, Hervé Jégou, Patrick Bouthemy, Cees G. M. Snoek:
Tubelets: Unsupervised action proposals from spatiotemporal super-voxels. CoRR abs/1607.02003 (2016) - 2015
- [j1]Mihir Jain, Hervé Jégou, Patrick Bouthemy:
Improved Motion Description for Action Classification. Frontiers ICT 2: 28 (2015) - [c13]Jan C. van Gemert, Mihir Jain, Ella Gati, Cees G. M. Snoek:
APT: Action localization proposals from dense trajectories. BMVC 2015: 177.1-177.12 - [c12]Mihir Jain, Jan C. van Gemert, Cees G. M. Snoek:
What do 15, 000 object categories tell us about classifying and localizing actions? CVPR 2015: 46-55 - [c11]Mihir Jain, Jan C. van Gemert, Thomas Mensink
Objects2action: Classifying and Localizing Actions without Any Video Example. ICCV 2015: 4588-4596 - [i1]Mihir Jain, Jan C. van Gemert, Thomas Mensink, Cees G. M. Snoek:
Objects2action: Classifying and localizing actions without any video example. CoRR abs/1510.06939 (2015) - 2014
- [b1]Mihir Jain:
Enhanced image and video representation for visual recognition. University of Rennes 1, France, 2014 - [c10]Mihir Jain, Jan C. van Gemert, Hervé Jégou, Patrick Bouthemy, Cees G. M. Snoek:
Action Localization with Tubelets from Motion. CVPR 2014: 740-747 - 2013
- [c9]Mihir Jain, Hervé Jégou, Patrick Bouthemy:
Better Exploiting Motion for Better Action Recognition. CVPR 2013: 2555-2562 - [c8]Cees G. M. Snoek, Koen E. A. van de Sande, Daniel Fontijne, AmirHossein Habibian, Mihir Jain, Svetlana Kordumova, Zhenyang Li, Masoud Mazloom, Silvia L. Pintea, Ran Tao, Dennis C. Koelma, Arnold W. M. Smeulders:
The MediaMill at TRECVID 2013: : Searching concepts, Objects, Instances and events in video. TRECVID 2013 - 2012
- [c7]Mihir Jain, Rachid Benmokhtar, Hervé Jégou, Patrick Gros:
Hamming embedding similarity-based image classification. ICMR 2012: 19 - 2011
- [c6]Mihir Jain, Hervé Jégou, Patrick Gros:
Asymmetric hamming embedding: taking the best of our bits for large scale image search. ACM Multimedia 2011: 1441-1444 - 2010
- [c5]Mihir Jain, C. V. Jawahar
Characteristic pattern discovery in videos. ICVGIP 2010: 306-313
2000 – 2009
- 2009
- [c4]Mihir Jain, Sreekanth Vempati, Chandrika Pulla, C. V. Jawahar
Example based video filters. CIVR 2009 - [c3]Sreekanth Vempati, Mihir Jain, Omkar M. Parkhi, C. V. Jawahar, Marcin Marszalek, Andrea Vedaldi, Andrew Zisserman:
Oxford-IIIT TRECVID 2009 Notebook paper. TRECVID 2009 - 2008
- [c2]James Philbin, Manuel J. Marín-Jiménez, Siddharth Srinivasan, Andrew Zisserman, Mihir Jain, Sreekanth Vempati, K. Pramod Sankar, C. V. Jawahar:
Oxford/IIIT TRECVID 2008 - Notebook paper. TRECVID 2008 - [c1]Mihir Jain, Suman K. Mitra, Naresh Jotwani:
Eye Detection Using Line Edge Map Template. VISAPP (2) 2008: 152-157
Coauthor Index
aka: Cees G. M. Snoek
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