Mode of teaching based segmentation and annotation of video lectures. - Yogesh Singh Rawat; Chidansh Amitkumar Bhatt; Mohan S. Kankanhalli (CBMI, 2014)

Context-Based Photography Learning using Crowdsourced Images and Social Media. - Yogesh Singh Rawat; Mohan S. Kankanhalli (ACM Multimedia, 2014)

Real-Time Assistance in Multimedia Capture Using Social Media. - Yogesh Singh Rawat (ACM Multimedia, 2015)

Context-Aware Photography Learning for Smart Mobile Devices. - Yogesh Singh Rawat; Mohan S. Kankanhalli (ACM Trans. Multim. Comput. Commun. Appl., 2015)

ConTagNet: Exploiting User Context for Image Tag Recommendation. - Yogesh Singh Rawat; Mohan S. Kankanhalli (ACM Multimedia, 2016)

ClickSmart: A Context-Aware Viewpoint Recommendation System for Mobile Photography. - Yogesh Singh Rawat; Mohan S. Kankanhalli (IEEE Trans. Circuits Syst. Video Technol., 2017)

ThoughtViz: Visualizing Human Thoughts Using Generative Adversarial Network. - Praveen Tirupattur; Yogesh Singh Rawat; Concetto Spampinato; Mubarak Shah (ACM Multimedia, 2018)

VideoCapsuleNet: A Simplified Network for Action Detection. - Kevin Duarte; Yogesh S. Rawat; Mubarak Shah (NeurIPS, 2018)

Action and Object Detection for TRECVID. - Yogesh Singh Rawat; Aayush Jung Rana; Praveen Tirupattur; Mubarak Shah (TRECVID, 2018)

Time-Aware and View-Aware Video Rendering for Unsupervised Representation Learning. - Shruti Vyas; Yogesh S. Rawat; Mubarak Shah (CoRR, 2018)

Multi-modal Capsule Routing for Actor and Action Video Segmentation Conditioned on Natural Language Queries. - Bruce McIntosh; Kevin Duarte; Yogesh S. Rawat; Mubarak Shah (CoRR, 2018)

A Spring-Electric Graph Model for Socialized Group Photography. - Yogesh Singh Rawat; Mingli Song; Mohan S. Kankanhalli (IEEE Trans. Multim., 2018)

CapsuleVOS: Semi-Supervised Video Object Segmentation Using Capsule Routing. - Kevin Duarte; Yogesh S. Rawat; Mubarak Shah (ICCV, 2019)

An Online System for Real-Time Activity Detection in Untrimmed Surveillance Videos. - Aayush Jung Rana; Praveen Tirupattur; Mamshad Nayeem Rizve; Kevin Duarte; Ugur Demir; Yogesh S. Rawat; Mubarak Shah (TRECVID, 2019)

Visual-Textual Capsule Routing for Text-Based Video Segmentation. - Bruce McIntosh; Kevin Duarte; Yogesh S. Rawat; Mubarak Shah (CVPR, 2020)

A Recurrent Transformer Network for Novel View Action Synthesis. - Kara Marie Schatz; Erik Quintanilla; Shruti Vyas; Yogesh S. Rawat (ECCV (27), 2020)

Multi-view Action Recognition Using Cross-View Video Prediction. - Shruti Vyas; Yogesh S. Rawat; Mubarak Shah (ECCV (27), 2020)

TinyVIRAT: Low-resolution Video Action Recognition. - Ugur Demir; Yogesh S. Rawat; Mubarak Shah (ICPR, 2020)

Gabriella: An Online System for Real-Time Activity Detection in Untrimmed Security Videos. - Mamshad Nayeem Rizve; Ugur Demir; Praveen Tirupattur; Aayush Jung Rana; Kevin Duarte; Ishan R. Dave; Yogesh S. Rawat; Mubarak Shah (ICPR, 2020)

UCF-System: Activity Detection in Untrimmed Videos. - Ishan R. Dave; Zacchaeus Scheffer; Praveen Tirupattur; Yogesh S. Rawat; Mubarak Shah (TRECVID, 2020)

Gabriella: An Online System for Real-Time Activity Detection in Untrimmed Surveillance Videos. - Mamshad Nayeem Rizve; Ugur Demir; Praveen Tirupattur; Aayush Jung Rana; Kevin Duarte; Ishan R. Dave; Yogesh S. Rawat; Mubarak Shah (CoRR, 2020)

View-invariant action recognition. - Yogesh S. Rawat; Shruti Vyas (CoRR, 2020)

Photography and Exploration of Tourist Locations Based on Optimal Foraging Theory. - Yogesh Singh Rawat; Mubarak Shah; Mohan S. Kankanhalli (IEEE Trans. Circuits Syst. Video Technol., 2020)

SSA2D: Single Shot Actor-Action Detection in Videos (Student Abstract). - Aayush Jung Rana; Yogesh S. Rawat (AAAI, 2021)

LARNet: Latent Action Representation for Human Action Synthesis. - Naman Biyani; Aayush Jung Rana; Shruti Vyas; Yogesh S. Rawat (BMVC, 2021)

PLM: Partial Label Masking for Imbalanced Multi-Label Classification. - Kevin Duarte; Yogesh S. Rawat; Mubarak Shah (CVPR Workshops, 2021)

Modeling Multi-Label Action Dependencies for Temporal Action Localization. - Praveen Tirupattur; Kevin Duarte; Yogesh S. Rawat; Mubarak Shah (CVPR, 2021)

Novel View Video Prediction using a Dual Representation. - Sarah Shiraz; Krishna Regmi; Shruti Vyas; Yogesh S. Rawat; Mubarak Shah (ICIP, 2021)

Unsupervised Discriminative Embedding For Sub-Action Learning in Complex Activities. - Sirnam Swetha; Hilde Kuehne; Yogesh S. Rawat; Mubarak Shah (ICIP, 2021)

In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning. - Mamshad Nayeem Rizve; Kevin Duarte; Yogesh S. Rawat; Mubarak Shah (ICLR, 2021)

Trustworthy AI'21: 1st International Workshop on Trustworthy AI for Multimedia Computing. - Teddy Furon; Jingen Liu; Yogesh S. Rawat; Wei Zhang 031; Qi Zhao 001 (ACM Multimedia, 2021)

NoisyActions2M: A Multimedia Dataset for Video Understanding from Noisy Labels. - Mohit Sharma 004; Raj Aaryaman Patra; Harshal Desai; Shruti Vyas; Yogesh S. Rawat; Rajiv Ratn Shah (MMAsia, 2021)

Reformulating Zero-shot Action Recognition for Multi-label Actions. - Alec Kerrigan; Kevin Duarte; Yogesh S. Rawat; Mubarak Shah (NeurIPS, 2021)

We don't Need Thousand Proposals: Single Shot Actor-Action Detection in Videos. - Aayush Jung Rana; Yogesh S. Rawat (WACV, 2021)

TinyAction Challenge: Recognizing Real-world Low-resolution Activities in Videos. - Praveen Tirupattur; Aayush Jung Rana; Tushar Sangam; Shruti Vyas; Yogesh S. Rawat; Mubarak Shah (CoRR, 2021)

"Knights": First Place Submission for VIPriors21 Action Recognition Challenge at ICCV 2021. - Ishan R. Dave; Naman Biyani; Brandon Clark; Rohit Gupta 012; Yogesh S. Rawat; Mubarak Shah (CoRR, 2021)

Adversarial Learning for Personalized Tag Recommendation. - Erik Quintanilla; Yogesh S. Rawat; Andrey Sakryukin; Mubarak Shah; Mohan S. Kankanhalli (IEEE Trans. Multim., 2021)

SVGraph: Learning Semantic Graphs from Instructional Videos. - Madeline C. Schiappa; Yogesh S. Rawat (BigMM, 2022)

End-to-End Semi-Supervised Learning for Video Action Detection. - Akash Kumar 016; Yogesh Singh Rawat (CVPR, 2022)

Don't Pour Cereal into Coffee: Differentiable Temporal Logic for Temporal Action Segmentation. - Ziwei Xu 001; Yogesh S. Rawat; Yongkang Wong; Mohan S. Kankanhalli; Mubarak Shah (NeurIPS, 2022)

Are all Frames Equal? Active Sparse Labeling for Video Action Detection. - Aayush Jung Rana; Yogesh S. Rawat (NeurIPS, 2022)

Robustness Analysis of Video-Language Models Against Visual and Language Perturbations. - Madeline Schiappa; Shruti Vyas; Hamid Palangi; Yogesh S. Rawat; Vibhav Vineet (NeurIPS, 2022)

GabriellaV2: Towards better generalization in surveillance videos for Action Detection. - Ishan R. Dave; Zacchaeus Scheffer; Akash Kumar 016; Sarah Shiraz; Yogesh Singh Rawat; Mubarak Shah (WACV (Workshops), 2022)

Pose-guided Generative Adversarial Net for Novel View Action Synthesis. - Xianhang Li; Junhao Zhang; Kunchang Li 002; Shruti Vyas; Yogesh Singh Rawat (WACV, 2022)

Video Action Detection: Analysing Limitations and Challenges. - Rajat Modi; Aayush Jung Rana; Akash Kumar 016; Praveen Tirupattur; Shruti Vyas; Yogesh Singh Rawat; Mubarak Shah (CoRR, 2022)

Large-scale Robustness Analysis of Video Action Recognition Models. - Madeline C. Schiappa; Naman Biyani; Shruti Vyas; Hamid Palangi; Vibhav Vineet; Yogesh S. Rawat (CoRR, 2022)

Multi-modal Robustness Analysis Against Language and Visual Perturbations. - Madeline C. Schiappa; Shruti Vyas; Hamid Palangi; Yogesh S. Rawat; Vibhav Vineet (CoRR, 2022)

Hybrid Active Learning via Deep Clustering for Video Action Detection. - Aayush Jung Rana; Yogesh S. Rawat (CVPR, 2023)

A Large-Scale Robustness Analysis of Video Action Recognition Models. - Madeline Chantry Schiappa; Naman Biyani; Prudvi Kamtam; Shruti Vyas; Hamid Palangi; Vibhav Vineet; Yogesh S. Rawat (CVPR, 2023)

Efficiently Robustify Pre-Trained Models. - Nishant Jain; Harkirat S. Behl; Yogesh Singh Rawat; Vibhav Vineet (ICCV, 2023)

PRAT: PRofiling Adversarial aTtacks. - Rahul Ambati; Naveed Akhtar; Ajmal Mian; Yogesh S. Rawat (ICCV (Workshops), 2023)

Revealing the unseen: Benchmarking video action recognition under occlusion. - Shresth Grover; Vibhav Vineet; Yogesh S. Rawat (NeurIPS, 2023)

On Occlusions in Video Action Detection: Benchmark Datasets And Training Recipes. - Rajat Modi; Vibhav Vineet; Yogesh S. Rawat (NeurIPS, 2023)

Probing Conceptual Understanding of Large Visual-Language Models. - Madeline Chantry Schiappa; Michael Cogswell; Ajay Divakaran; Yogesh Singh Rawat (CoRR, 2023)

Benchmarking self-supervised video representation learning. - Akash Kumar 016; Ashlesha Kumar; Vibhav Vineet; Yogesh Singh Rawat (CoRR, 2023)

Robustness Analysis on Foundational Segmentation Models. - Madeline Chantry Schiappa; Sachidanand VS; Yunhao Ge; Ondrej Miksik; Yogesh S. Rawat; Vibhav Vineet (CoRR, 2023)

Semi-supervised Active Learning for Video Action Detection. - Aayush Jung Singh; Aayush Jung Rana; Akash Kumar 016; Shruti Vyas; Yogesh Singh Rawat (CoRR, 2023)

EZ-CLIP: Efficient Zeroshot Video Action Recognition. - Shahzad Ahmad; Sukalpa Chanda; Yogesh S. Rawat (CoRR, 2023)

Self-Supervised Learning for Videos: A Survey. - Madeline C. Schiappa; Yogesh S. Rawat; Mubarak Shah (ACM Comput. Surv., 2023)

Semi-supervised Active Learning for Video Action Detection. - Ayush Singh; Aayush Jung Rana; Akash Kumar 016; Shruti Vyas; Yogesh Singh Rawat (AAAI, 2024)

Activity-Biometrics: Person Identification from Daily Activities. - Shehreen Azad; Yogesh Singh Rawat (CVPR, 2024)

Probing Conceptual Understanding of Large Visual-Language Models. - Madeline Schiappa; Raiyaan Abdullah; Shehreen Azad; Jared Claypoole; Michael Cogswell; Ajay Divakaran; Yogesh S. Rawat (CVPR Workshops, 2024)

Robustness Analysis on Foundational Segmentation Models. - Madeline Chantry Schiappa; Shehreen Azad; Sachidanand VS; Yunhao Ge; Ondrej Miksik; Yogesh S. Rawat; Vibhav Vineet (CVPR Workshops, 2024)

Navigating Hallucinations for Reasoning of Unintentional Activities. - Shresth Grover; Vibhav Vineet; Yogesh S. Rawat (EMNLP (Findings), 2024)

AirSketch: Generative Motion to Sketch. - Hui Xian Grace Lim; Xuanming Cui; Yogesh S. Rawat; Ser Nam Lim (NeurIPS, 2024)

Asynchronous Perception Machine for Efficient Test Time Training. - Rajat Modi; Yogesh S. Rawat (NeurIPS, 2024)

PV-S3: Advancing Automatic Photovoltaic Defect Detection using Semi-Supervised Semantic Segmentation of Electroluminescence Images. - Abhishek Jha; Yogesh S. Rawat; Shruti Vyas (CoRR, 2024)

Foundation Models for Video Understanding: A Survey. - Neelu Madan; Andreas Møgelmose; Rajat Modi; Yogesh S. Rawat; Thomas B. Moeslund (CoRR, 2024)

GeoMeter: Probing Depth and Height Perception of Large Visual-Language Models. - Shehreen Azad; Yash Jain; Rishit Garg; Yogesh S. Rawat; Vibhav Vineet (CoRR, 2024)

Stable Mean Teacher for Semi-supervised Video Action Detection. - Akash Kumar 016; Sirshapan Mitra; Yogesh Singh Rawat (AAAI, 2025)

A Large-Scale Analysis on Contextual Self-Supervised Video Representation Learning. - Akash Kumar 016; Ashlesha Kumar; Vibhav Vineet; Yogesh S. Rawat (CVPR Workshops, 2025)

Understanding Depth and Height Perception in Large Visual-Language Models. - Shehreen Azad; Yash Jain; Rishit Garg; Vibhav Vineet; Yogesh S. Rawat (CVPR Workshops, 2025)

HierarQ: Task-Aware Hierarchical Q-Former for Enhanced Video Understanding. - Shehreen Azad; Vibhav Vineet; Yogesh Singh Rawat (CVPR, 2025)

STPro: Spatial and Temporal Progressive Learning for Weakly Supervised Spatio-Temporal Grounding. - Aaryan Garg; Akash Kumar 016; Yogesh S. Rawat (CVPR, 2025)

DIFFER: Disentangling Identity Features via Semantic Cues for Clothes-Changing Person Re-ID. - Xin Liang; Yogesh S. Rawat (CVPR, 2025)

Contextual Self-paced Learning for Weakly Supervised Spatio-Temporal Video Grounding. - Akash Kumar 016; Zsolt Kira; Yogesh S. Rawat (ICLR, 2025)

Lr0.Fm: low-Resolution Zero-Shot Classification Benchmark for Foundation Models. - Priyank Pathak; Shyam Marjit; Shruti Vyas; Yogesh S. Rawat (ICLR, 2025)

PULSE: Physiological Understanding with Liquid Signal Extraction. - Shahzad Ahmad; Sania Bano; Sachin Verma; Yogesh Singh Rawat; Sukalpa Chanda; Santosh Kumar Vipparthi; Subrahmanyam Murala (WACV, 2025)

Advancing automatic photovoltaic defect detection using semi-supervised semantic segmentation of electroluminescence images. - Abhishek Jha; Yogesh S. Rawat; Shruti Vyas (Eng. Appl. Artif. Intell., 2025)

T2L: Efficient Zero-Shot Action Recognition with Temporal Token Learning. - Shahzad Ahmad; Sukalpa Chanda; Yogesh S. Rawat (Trans. Mach. Learn. Res., 2025)

Scaling Open-Vocabulary Action Detection. - Zhen Hao Sia; Yogesh Singh Rawat (CoRR, 2025)

Coarse Attribute Prediction with Task Agnostic Distillation for Real World Clothes Changing ReID. - Priyank Pathak; Yogesh S. Rawat (CoRR, 2025)

MolVision: Molecular Property Prediction with Vision Language Models. - Deepan Adak; Yogesh Singh Rawat; Shruti Vyas (CoRR, 2025)

Colors See Colors Ignore: Clothes Changing ReID with Color Disentanglement. - Priyank Pathak; Yogesh S. Rawat (CoRR, 2025)

DisenQ: Disentangling Q-Former for Activity-Biometrics. - Shehreen Azad; Yogesh S. Rawat (CoRR, 2025)

Punching Bag vs. Punching Person: Motion Transferability in Videos. - Raiyaan Abdullah; Jared Claypoole; Michael Cogswell; Ajay Divakaran; Yogesh S. Rawat (CoRR, 2025)

iSafetyBench: A video-language benchmark for safety in industrial environment. - Raiyaan Abdullah; Yogesh Singh Rawat; Shruti Vyas (CoRR, 2025)

Re:Verse - Can Your VLM Read a Manga? - Aaditya Baranwal; Madhav Kataria; Naitik Agrawal; Yogesh S. Rawat; Shruti Vyas (CoRR, 2025)

GaitCrafter: Diffusion Model for Biometric Preserving Gait Synthesis. - Sirshapan Mitra; Yogesh S. Rawat (CoRR, 2025)

OmViD: Omni-supervised active learning for video action detection. - Aayush Jung Rana; Akash Kumar 016; Vibhav Vineet; Yogesh S. Rawat (CoRR, 2025)