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ORCIDYogesh S. Rawat
Yogesh Singh Rawat
Person information
- affiliation: University of Central Florida, Center for Research in Computer Vision, Orlando, FL, USA
- affiliation (PhD): National University of Singapore, Singapore
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2020 – today
- 2024
[c40]Ayush Singh, Aayush J. Rana, Akash Kumar, Shruti Vyas, Yogesh Singh Rawat:
Semi-supervised Active Learning for Video Action Detection. AAAI 2024: 4891-4899- [i34]Shresth Grover, Vibhav Vineet, Yogesh S. Rawat:
Navigating Hallucinations for Reasoning of Unintentional Activities. CoRR abs/2402.19405 (2024) - [i33]Shehreen Azad, Yogesh Singh Rawat:
Activity-Biometrics: Person Identification from Daily Activities. CoRR abs/2403.17360 (2024) - 2023
- [j6]Madeline C. Schiappa
, Yogesh S. Rawat, Mubarak Shah:
Self-Supervised Learning for Videos: A Survey. ACM Comput. Surv. 55(13s): 288:1-288:37 (2023) - [c39]Madeline Chantry Schiappa, Naman Biyani, Prudvi Kamtam, Shruti Vyas, Hamid Palangi, Vibhav Vineet, Yogesh S. Rawat:
A Large-Scale Robustness Analysis of Video Action Recognition Models. CVPR 2023: 14698-14708 - [c38]Aayush Jung Rana, Yogesh S. Rawat:
Hybrid Active Learning via Deep Clustering for Video Action Detection. CVPR 2023: 18867-18877 - [c37]Nishant Jain, Harkirat S. Behl, Yogesh Singh Rawat, Vibhav Vineet:
Efficiently Robustify Pre-Trained Models. ICCV 2023: 5482-5492 - [c36]Rahul Ambati, Naveed Akhtar, Ajmal Mian, Yogesh S. Rawat:
PRAT: PRofiling Adversarial aTtacks. ICCV (Workshops) 2023: 3669-3678 - [c35]Shresth Grover, Vibhav Vineet, Yogesh S. Rawat:
Revealing the unseen: Benchmarking video action recognition under occlusion. NeurIPS 2023 - [c34]Rajat Modi, Vibhav Vineet, Yogesh S. Rawat:
On Occlusions in Video Action Detection: Benchmark Datasets And Training Recipes. NeurIPS 2023 - [i32]Madeline Chantry Schiappa, Michael Cogswell, Ajay Divakaran, Yogesh Singh Rawat:
Probing Conceptual Understanding of Large Visual-Language Models. CoRR abs/2304.03659 (2023) - [i31]Akash Kumar, Ashlesha Kumar, Vibhav Vineet, Yogesh Singh Rawat:
Benchmarking self-supervised video representation learning. CoRR abs/2306.06010 (2023) - [i30]Madeline Chantry Schiappa, Sachidanand VS, Yunhao Ge, Ondrej Miksik, Yogesh S. Rawat, Vibhav Vineet:
Robustness Analysis on Foundational Segmentation Models. CoRR abs/2306.09278 (2023) - [i29]Nishant Jain, Harkirat S. Behl, Yogesh Singh Rawat, Vibhav Vineet:
Efficiently Robustify Pre-trained Models. CoRR abs/2309.07499 (2023) - [i28]Rahul Ambati, Naveed Akhtar, Ajmal Mian, Yogesh Singh Rawat:
PRAT: PRofiling Adversarial aTtacks. CoRR abs/2309.11111 (2023) - [i27]Aayush Jung Singh, Aayush J. Rana, Akash Kumar, Shruti Vyas, Yogesh Singh Rawat:
Semi-supervised Active Learning for Video Action Detection. CoRR abs/2312.07169 (2023) - [i26]Shahzad Ahmad, Sukalpa Chanda, Yogesh S. Rawat:
EZ-CLIP: Efficient Zeroshot Video Action Recognition. CoRR abs/2312.08010 (2023) - 2022
- [c33]Madeline C. Schiappa, Yogesh S. Rawat:
SVGraph: Learning Semantic Graphs from Instructional Videos. BigMM 2022: 45-52 - [c32]Akash Kumar, Yogesh Singh Rawat:
End-to-End Semi-Supervised Learning for Video Action Detection. CVPR 2022: 14680-14690 - [c31]Ziwei Xu, Yogesh S. Rawat, Yongkang Wong, Mohan S. Kankanhalli, Mubarak Shah:
Don't Pour Cereal into Coffee: Differentiable Temporal Logic for Temporal Action Segmentation. NeurIPS 2022 - [c30]Aayush Jung Rana, Yogesh S. Rawat:
Are all Frames Equal? Active Sparse Labeling for Video Action Detection. NeurIPS 2022 - [c29]Madeline Schiappa, Shruti Vyas, Hamid Palangi, Yogesh S. Rawat, Vibhav Vineet:
Robustness Analysis of Video-Language Models Against Visual and Language Perturbations. NeurIPS 2022 - [c28]Ishan R. Dave, Zacchaeus Scheffer, Akash Kumar, Sarah Shiraz, Yogesh Singh Rawat, Mubarak Shah:
GabriellaV2: Towards better generalization in surveillance videos for Action Detection. WACV (Workshops) 2022: 122-132 - [c27]Xianhang Li, Junhao Zhang, Kunchang Li, Shruti Vyas, Yogesh Singh Rawat:
Pose-guided Generative Adversarial Net for Novel View Action Synthesis. WACV 2022: 3103-3112 - [i25]Akash Kumar, Yogesh Singh Rawat:
End-to-End Semi-Supervised Learning for Video Action Detection. CoRR abs/2203.04251 (2022) - [i24]Rajat Modi, Aayush Jung Rana, Akash Kumar, Praveen Tirupattur, Shruti Vyas, Yogesh Singh Rawat, Mubarak Shah:
Video Action Detection: Analysing Limitations and Challenges. CoRR abs/2204.07892 (2022) - [i23]Madeline C. Schiappa, Yogesh S. Rawat, Mubarak Shah:
Self-Supervised Learning for Videos: A Survey. CoRR abs/2207.00419 (2022) - [i22]Madeline C. Schiappa, Naman Biyani, Shruti Vyas, Hamid Palangi, Vibhav Vineet, Yogesh S. Rawat:
Large-scale Robustness Analysis of Video Action Recognition Models. CoRR abs/2207.01398 (2022) - [i21]Madeline C. Schiappa, Shruti Vyas, Hamid Palangi, Yogesh S. Rawat, Vibhav Vineet:
Multi-modal Robustness Analysis Against Language and Visual Perturbations. CoRR abs/2207.02159 (2022) - [i20]Madeline C. Schiappa, Yogesh S. Rawat:
SVGraph: Learning Semantic Graphs from Instructional Videos. CoRR abs/2207.08001 (2022) - 2021
- [j5]Erik Quintanilla, Yogesh S. Rawat, Andrey Sakryukin, Mubarak Shah, Mohan S. Kankanhalli:
Adversarial Learning for Personalized Tag Recommendation. IEEE Trans. Multim. 23: 1083-1094 (2021) - [c26]Aayush Jung Rana, Yogesh S. Rawat:
SSA2D: Single Shot Actor-Action Detection in Videos (Student Abstract). AAAI 2021: 15875-15876 - [c25]Naman Biyani, Aayush Jung Rana, Shruti Vyas, Yogesh S. Rawat:
LARNet: Latent Action Representation for Human Action Synthesis. BMVC 2021: 258 - [c24]Praveen Tirupattur, Kevin Duarte, Yogesh S. Rawat, Mubarak Shah:
Modeling Multi-Label Action Dependencies for Temporal Action Localization. CVPR 2021: 1460-1470 - [c23]Kevin Duarte, Yogesh S. Rawat, Mubarak Shah:
PLM: Partial Label Masking for Imbalanced Multi-Label Classification. CVPR Workshops 2021: 2739-2748 - [c22]Sirnam Swetha, Hilde Kuehne, Yogesh S. Rawat, Mubarak Shah:
Unsupervised Discriminative Embedding For Sub-Action Learning in Complex Activities. ICIP 2021: 2588-2592 - [c21]Sarah Shiraz, Krishna Regmi, Shruti Vyas, Yogesh S. Rawat, Mubarak Shah:
Novel View Video Prediction using a Dual Representation. ICIP 2021: 2698-2702 - [c20]Mamshad Nayeem Rizve, Kevin Duarte, Yogesh S. Rawat, Mubarak Shah:
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning. ICLR 2021 - [c19]Teddy Furon, Jingen Liu, Yogesh S. Rawat, Wei Zhang, Qi Zhao:
Trustworthy AI'21: 1st International Workshop on Trustworthy AI for Multimedia Computing. ACM Multimedia 2021: 5708-5709 - [c18]Mohit Sharma, Raj Aaryaman Patra, Harshal Desai, Shruti Vyas, Yogesh S. Rawat, Rajiv Ratn Shah:
NoisyActions2M: A Multimedia Dataset for Video Understanding from Noisy Labels. MMAsia 2021: 50:1-50:5 - [c17]Alec Kerrigan, Kevin Duarte, Yogesh S. Rawat, Mubarak Shah:
Reformulating Zero-shot Action Recognition for Multi-label Actions. NeurIPS 2021: 25566-25577 - [c16]Aayush Jung Rana, Yogesh S. Rawat:
We don't Need Thousand Proposals: Single Shot Actor-Action Detection in Videos. WACV 2021: 2959-2968 - [e1]Teddy Furon, Jingen Liu, Yogesh S. Rawat, Wei Zhang, Qi Zhao:
Trustworthy AI'21: Proceedings of the 1st International Workshop on Trustworthy AI for Multimedia Computing, Virtual Event, China, 24 October 2021. ACM 2021, ISBN 978-1-4503-8674-6 [contents] - [i19]Mamshad Nayeem Rizve, Kevin Duarte, Yogesh S. Rawat, Mubarak Shah:
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning. CoRR abs/2101.06329 (2021) - [i18]Praveen Tirupattur, Kevin Duarte, Yogesh S. Rawat, Mubarak Shah:
Modeling Multi-Label Action Dependencies for Temporal Action Localization. CoRR abs/2103.03027 (2021) - [i17]Sirnam Swetha, Hilde Kuehne, Yogesh S. Rawat, Mubarak Shah:
Unsupervised Discriminative Embedding for Sub-Action Learning in Complex Activities. CoRR abs/2105.00067 (2021) - [i16]Kevin Duarte, Yogesh S. Rawat, Mubarak Shah:
PLM: Partial Label Masking for Imbalanced Multi-label Classification. CoRR abs/2105.10782 (2021) - [i15]Sarah Shiraz, Krishna Regmi, Shruti Vyas, Yogesh S. Rawat, Mubarak Shah:
Novel View Video Prediction Using a Dual Representation. CoRR abs/2106.03956 (2021) - [i14]Praveen Tirupattur, Aayush Jung Rana, Tushar Sangam, Shruti Vyas, Yogesh S. Rawat, Mubarak Shah:
TinyAction Challenge: Recognizing Real-world Low-resolution Activities in Videos. CoRR abs/2107.11494 (2021) - [i13]Mohit Sharma, Raj Patra, Harshal Desai, Shruti Vyas, Yogesh S. Rawat, Rajiv Ratn Shah:
NoisyActions2M: A Multimedia Dataset for Video Understanding from Noisy Labels. CoRR abs/2110.06827 (2021) - [i12]Ishan R. Dave, Naman Biyani, Brandon Clark, Rohit Gupta, Yogesh S. Rawat, Mubarak Shah:
"Knights": First Place Submission for VIPriors21 Action Recognition Challenge at ICCV 2021. CoRR abs/2110.07758 (2021) - [i11]Xianhang Li, Junhao Zhang, Kunchang Li, Shruti Vyas, Yogesh S. Rawat:
Pose-guided Generative Adversarial Net for Novel View Action Synthesis. CoRR abs/2110.07993 (2021) - [i10]Naman Biyani, Aayush Jung Rana, Shruti Vyas, Yogesh S. Rawat:
LARNet: Latent Action Representation for Human Action Synthesis. CoRR abs/2110.10899 (2021) - 2020
- [j4]Yogesh Singh Rawat, Mubarak Shah, Mohan S. Kankanhalli:
Photography and Exploration of Tourist Locations Based on Optimal Foraging Theory. IEEE Trans. Circuits Syst. Video Technol. 30(7): 2276-2287 (2020) - [c15]Bruce McIntosh, Kevin Duarte, Yogesh S. Rawat, Mubarak Shah:
Visual-Textual Capsule Routing for Text-Based Video Segmentation. CVPR 2020: 9939-9948 - [c14]Kara Marie Schatz, Erik Quintanilla, Shruti Vyas, Yogesh S. Rawat:
A Recurrent Transformer Network for Novel View Action Synthesis. ECCV (27) 2020: 410-426 - [c13]Shruti Vyas, Yogesh S. Rawat, Mubarak Shah:
Multi-view Action Recognition Using Cross-View Video Prediction. ECCV (27) 2020: 427-444 - [c12]Mamshad Nayeem Rizve, Ugur Demir, Praveen Tirupattur, Aayush Jung Rana, Kevin Duarte, Ishan R. Dave, Yogesh S. Rawat, Mubarak Shah:
Gabriella: An Online System for Real-Time Activity Detection in Untrimmed Security Videos. ICPR 2020: 4237-4244 - [c11]Ugur Demir, Yogesh S. Rawat, Mubarak Shah:
TinyVIRAT: Low-resolution Video Action Recognition. ICPR 2020: 7387-7394 - [c10]Ishan R. Dave, Zacchaeus Scheffer, Praveen Tirupattur, Yogesh S. Rawat, Mubarak Shah:
UCF-System: Activity Detection in Untrimmed Videos. TRECVID 2020 - [i9]Erik Quintanilla, Yogesh S. Rawat, Andrey Sakryukin, Mubarak Shah, Mohan S. Kankanhalli:
Adversarial Learning for Personalized Tag Recommendation. CoRR abs/2004.00698 (2020) - [i8]Mamshad Nayeem Rizve, Ugur Demir, Praveen Tirupattur, Aayush Jung Rana, Kevin Duarte, Ishan R. Dave, Yogesh S. Rawat, Mubarak Shah:
Gabriella: An Online System for Real-Time Activity Detection in Untrimmed Surveillance Videos. CoRR abs/2004.11475 (2020) - [i7]Ugur Demir, Yogesh S. Rawat, Mubarak Shah:
TinyVIRAT: Low-resolution Video Action Recognition. CoRR abs/2007.07355 (2020) - [i6]Yogesh S. Rawat, Shruti Vyas:
View-invariant action recognition. CoRR abs/2009.00638 (2020) - [i5]Aayush Jung Rana, Yogesh S. Rawat:
We don't Need Thousand Proposals: Single Shot Actor-Action Detection in Videos. CoRR abs/2011.10927 (2020)
2010 – 2019
- 2019
- [c9]Kevin Duarte, Yogesh S. Rawat, Mubarak Shah:
CapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule Routing. ICCV 2019: 8479-8488 - [c8]Aayush Jung Rana, Praveen Tirupattur, Mamshad Nayeem Rizve, Kevin Duarte, Ugur Demir, Yogesh S. Rawat, Mubarak Shah:
An Online System for Real-Time Activity Detection in Untrimmed Surveillance Videos. TRECVID 2019 - [i4]Kevin Duarte, Yogesh S. Rawat, Mubarak Shah:
CapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule Routing. CoRR abs/1910.00132 (2019) - 2018
- [j3]Yogesh Singh Rawat, Mingli Song, Mohan S. Kankanhalli:
A Spring-Electric Graph Model for Socialized Group Photography. IEEE Trans. Multim. 20(3): 754-766 (2018) - [c7]Praveen Tirupattur, Yogesh Singh Rawat, Concetto Spampinato, Mubarak Shah:
ThoughtViz: Visualizing Human Thoughts Using Generative Adversarial Network. ACM Multimedia 2018: 950-958 - [c6]Kevin Duarte, Yogesh S. Rawat, Mubarak Shah:
VideoCapsuleNet: A Simplified Network for Action Detection. NeurIPS 2018: 7621-7630 - [c5]Yogesh Singh Rawat, Aayush Jung Rana, Praveen Tirupattur, Mubarak Shah:
Action and Object Detection for TRECVID. TRECVID 2018 - [i3]Kevin Duarte, Yogesh S. Rawat, Mubarak Shah:
VideoCapsuleNet: A Simplified Network for Action Detection. CoRR abs/1805.08162 (2018) - [i2]Shruti Vyas, Yogesh S. Rawat, Mubarak Shah:
Time-Aware and View-Aware Video Rendering for Unsupervised Representation Learning. CoRR abs/1811.10699 (2018) - [i1]Bruce McIntosh, Kevin Duarte, Yogesh S. Rawat, Mubarak Shah:
Multi-modal Capsule Routing for Actor and Action Video Segmentation Conditioned on Natural Language Queries. CoRR abs/1812.00303 (2018) - 2017
- [j2]Yogesh Singh Rawat, Mohan S. Kankanhalli:
ClickSmart: A Context-Aware Viewpoint Recommendation System for Mobile Photography. IEEE Trans. Circuits Syst. Video Technol. 27(1): 149-158 (2017) - 2016
- [c4]Yogesh Singh Rawat, Mohan S. Kankanhalli:
ConTagNet: Exploiting User Context for Image Tag Recommendation. ACM Multimedia 2016: 1102-1106 - 2015
- [j1]Yogesh Singh Rawat, Mohan S. Kankanhalli:
Context-Aware Photography Learning for Smart Mobile Devices. ACM Trans. Multim. Comput. Commun. Appl. 12(1s): 19:1-19:24 (2015) - [c3]Yogesh Singh Rawat:
Real-Time Assistance in Multimedia Capture Using Social Media. ACM Multimedia 2015: 641-644 - 2014
- [c2]Yogesh Singh Rawat, Chidansh Amitkumar Bhatt, Mohan S. Kankanhalli:
Mode of teaching based segmentation and annotation of video lectures. CBMI 2014: 1-4 - [c1]Yogesh Singh Rawat, Mohan S. Kankanhalli:
Context-Based Photography Learning using Crowdsourced Images and Social Media. ACM Multimedia 2014: 217-220
Coauthor Index
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last updated on 2024-04-25 01:20 CEST by the dblp team
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