Hierarchical Multi-channel Hidden Semi Markov Models. - Pradeep Natarajan; Ramakant Nevatia (IJCAI, 2007)

View and scale invariant action recognition using multiview shape-flow models. - Pradeep Natarajan; Ram Nevatia (CVPR, 2008)

Graphical Models for Representation and Recognition of Human Actions. - Pradeep Natarajan; Ramakant Nevatia (Machine Learning for Human Motion Analysis, 2010)

Learning 3D action models from a few 2D videos for view invariant action recognition. - Pradeep Natarajan; Vivek Kumar Singh 004; Ram Nevatia (CVPR, 2010)

Accurate person tracking through changing poses for multi-view action recognition. - Pradeep Natarajan; Prithviraj Banerjee; Ram Nevatia (ICVGIP, 2010)

Wavelet Band-pass Filters for Matching Multiple Templates in Real-time. - Yue Wu 001; Pradeep Natarajan; Joseph P. Noonan; Rohit Prasad; Premkumar Natarajan (BMVC, 2011)

Efficient Orthogonal Matching Pursuit using sparse random projections for scene and video classification. - Shiv Naga Prasad Vitaladevuni; Pradeep Natarajan; Rohit Prasad; Prem Natarajan (ICCV, 2011)

Baseline Dependent Percentile Features for Offline Arabic Handwriting Recognition. - Pradeep Natarajan; David Belanger 001; Rohit Prasad; Matin Kamali; Krishna Subramanian 001; Prem Natarajan (ICDAR, 2011)

Large-scale, real-time logo recognition in broadcast videos. - Pradeep Natarajan; Yue Wu 001; Shirin Saleem; Ehry MacRostie; Frederick Bernardin; Rohit Prasad; Prem Natarajan (ICME, 2011)

Unsupervised Audio Analysis for Categorizing Heterogeneous Consumer Domain Videos. - Pradeep Natarajan; Stavros Tsakalidis; Vasant Manohar; Rohit Prasad; Premkumar Natarajan (INTERSPEECH, 2011)

Audio-visual fusion using bayesian model combination for web video retrieval. - Vasant Manohar; Stavros Tsakalidis; Pradeep Natarajan; Rohit Prasad; Prem Natarajan (ACM Multimedia, 2011)

BBN VISER TRECVID 2011 Multimedia Event Detection System. - Pradeep Natarajan; Prem Natarajan; Vasant Manohar; Shuang Wu 003; Stavros Tsakalidis; Shiv Vitaladevuni; Xiaodan Zhuang; Rohit Prasad; Guangnan Ye; Dong Liu 001; I-Hong Jhuo; Shih-Fu Chang; et al. (TRECVID, 2011)

Developing a sensory-enhanced robot-aided motor training programme. - Wen Liu; Mukul Mukherjee; Soek Hun Kim; Hongzeng Liu; Pradeep Natarajan; Arvin Agah (Int. J. Mechatronics Autom., 2011)

Multimodal feature fusion for robust event detection in web videos. - Pradeep Natarajan; Shuang Wu 003; Shiv Naga Prasad Vitaladevuni; Xiaodan Zhuang; Stavros Tsakalidis; Unsang Park; Rohit Prasad; Premkumar Natarajan (CVPR, 2012)

Multi-channel Shape-Flow Kernel Descriptors for Robust Video Event Detection and Retrieval. - Pradeep Natarajan; Shuang Wu 003; Shiv Naga Prasad Vitaladevuni; Xiaodan Zhuang; Unsang Park; Rohit Prasad; Premkumar Natarajan (ECCV (2), 2012)

Robust Event Detection From Spoken Content In Consumer Domain Videos. - Stavros Tsakalidis; Xiaodan Zhuang; Roger Hsiao; Shuang Wu 003; Pradeep Natarajan; Rohit Prasad; Prem Natarajan (INTERSPEECH, 2012)

Compact Audio Representation for Event Detection in Consumer Media. - Xiaodan Zhuang; Stavros Tsakalidis; Shuang Wu 003; Pradeep Natarajan; Rohit Prasad; Prem Natarajan (INTERSPEECH, 2012)

BBNVISER : BBN VISER TRECVID 2012 Multimedia Event Detection and Multimedia Event Recounting Systems. - Pradeep Natarajan; Prem Natarajan; Shuang Wu 003; Xiaodan Zhuang; Amelio Vázquez Reina; Shiv Vitaladevuni; Kleovoulos Tsourides; Carl Andersen 001; Rohit Prasad; Guangnan Ye; Dong Liu 001; Shih-Fu Chang; et al. (TRECVID, 2012)

Graph based multimodal word clustering for video event detection. - Aravind Namandi Vembu; Pradeep Natarajan; Shuang Wu 003; Rohit Prasad; Prem Natarajan (ICASSP, 2013)

Audio self organized units for high-level event detection. - Xiaodan Zhuang; Shuang Wu 003; Pradeep Natarajan; Rohit Prasad; Prem Natarajan (INTERSPEECH, 2013)

Compact bag-of-words visual representation for effective linear classification. - Xiaodan Zhuang; Shuang Wu 003; Pradeep Natarajan (ACM Multimedia, 2013)

BBN VISER TRECVID 2013 Multimedia Event Detection and Multimedia Event Recounting Systems. - Pradeep Natarajan; Shuang Wu 003; Florian Luisier; Xiaodan Zhuang; Manasvi Tickoo; Guangnan Ye; Dong Liu 001; Shih-Fu Chang; Imran Saleemi; Mubarak Shah; Vlad I. Morariu; Larry Davis 001; et al. (TRECVID, 2013)

Ridge Regression based classifiers for large scale class imbalanced datasets. - Devansh Arpit; Shuang Wu 003; Pradeep Natarajan; Rohit Prasad; Premkumar Natarajan (WACV, 2013)

Scene image categorization and video event detection using Naive Bayes Nearest Neighbor. - Shiv Naga Prasad Vitaladevuni; Pradeep Natarajan; Shuang Wu 003; Xiaodan Zhuang; Rohit Prasad; Premkumar Natarajan (WACV, 2013)

Hierarchical multi-channel hidden semi Markov graphical models for activity recognition. - Pradeep Natarajan; Ramakant Nevatia (Comput. Vis. Image Underst., 2013)

Zero-Shot Event Detection Using Multi-modal Fusion of Weakly Supervised Concepts. - Shuang Wu 003; Sravanthi Bondugula; Florian Luisier; Xiaodan Zhuang; Pradeep Natarajan (CVPR, 2014)

Text Classification via iVector Based Feature Representation. - Shengxin Zha; Xujun Peng; Huaigu Cao; Xiaodan Zhuang; Pradeep Natarajan; Prem Natarajan (Document Analysis Systems, 2014)

Text detection and recognition in natural scenes and consumer videos. - Arpit Jain; Xujun Peng; Xiaodan Zhuang; Pradeep Natarajan; Huaigu Cao (ICASSP, 2014)

Effective representations for leveraging language content in multimedia event detection. - Shuang Wu 003; Xiaodan Zhuang; Pradeep Natarajan (ICASSP, 2014)

A constrained optimization approach to combining multiple non-local means denoising estimates. - Brian H. Tracey; Eric L. Miller 001; Yue Wu 001; Pradeep Natarajan; Joseph P. Noonan (Signal Process., 2014)

Keypoints-aware Object Detection. - Ayush Jaiswal; Simranjit Singh 003; Yue Wu 001; Pradeep Natarajan; Premkumar Natarajan (Preregister@NeurIPS, 2020)

Error Detection in Large-Scale Natural Language Understanding Systems Using Transformer Models. - Rakesh Chada; Pradeep Natarajan; Darshan Fofadiya; Prathap Ramachandra (ACL/IJCNLP (Findings), 2021)

Style-Aware Normalized Loss for Improving Arbitrary Style Transfer. - Jiaxin Cheng; Ayush Jaiswal; Yue Wu 001; Pradeep Natarajan; Prem Natarajan (CVPR, 2021)

FewshotQA: A simple framework for few-shot learning of question answering tasks using pre-trained text-to-text models. - Rakesh Chada; Pradeep Natarajan (EMNLP (1), 2021)

Adversarial Mask Generation for Preserving Visual Privacy. - Aayush Gupta; Ayush Jaiswal; Yue Wu 001; Vivek Yadav; Pradeep Natarajan (FG, 2021)

Class-agnostic Object Detection. - Ayush Jaiswal; Yue Wu 001; Pradeep Natarajan; Premkumar Natarajan (WACV, 2021)

Enhancing Fairness in Face Detection in Computer Vision Systems by Demographic Bias Mitigation. - Yu Yang; Aayush Gupta; Jianwei Feng; Prateek Singhal; Vivek Yadav; Yue Wu 001; Pradeep Natarajan; Varsha Hedau; Jungseock Joo (AIES, 2022)

One-Stage Object Referring with Gaze Estimation. - Jianhang Chen; Xu Zhang 022; Yue Wu 001; Shalini Ghosh; Pradeep Natarajan; Shih-Fu Chang; Jan P. Allebach (CVPR Workshops, 2022)

FashionVLP: Vision Language Transformer for Fashion Retrieval with Feedback. - Sonam Goenka; Zhaoheng Zheng; Ayush Jaiswal; Rakesh Chada; Yue Wu 001; Varsha Hedau; Pradeep Natarajan (CVPR, 2022)

CGF: Constrained Generation Framework for Query Rewriting in Conversational AI. - Jie Hao; Yang Liu; Xing Fan; Saurabh Gupta 008; Saleh Soltan; Rakesh Chada; Pradeep Natarajan; Chenlei Guo; Gökhan Tür (EMNLP (Industry Track), 2022)

Improving Large-Scale Conversational Assistants using Model Interpretation based Training Sample Selection. - Stefan Schroedl; Manoj Kumar 007; Kiana Hajebi; Morteza Ziyadi; Sriram Venkatapathy; Anil Ramakrishna; Rahul Gupta 001; Pradeep Natarajan (EMNLP (Industry Track), 2022)

Asd-Transformer: Efficient Active Speaker Detection Using Self And Multimodal Transformers. - Gourav Datta; Tyler Etchart; Vivek Yadav; Varsha Hedau; Pradeep Natarajan; Shih-Fu Chang (ICASSP, 2022)

Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems. - Jack FitzGerald; Shankar Ananthakrishnan; Konstantine Arkoudas; Davide Bernardi; Abhishek Bhagia; Claudio Delli Bovi; Jin Cao 003; Rakesh Chada; Amit Chauhan; Luoxin Chen; Anurag Dwarakanath; Satyam Dwivedi; et al. (KDD, 2022)

Model Monitoring in Practice: Lessons Learned and Open Challenges. - Krishnaram Kenthapadi; Himabindu Lakkaraju; Pradeep Natarajan; Mehrnoosh Sameki (KDD, 2022)

FPI: Failure Point Isolation in Large-scale Conversational Assistants. - Rinat Khaziev; Usman Shahid; Tobias Röding; Rakesh Chada; Emir Kapanci; Pradeep Natarajan (NAACL-HLT (Industry Papers), 2022)

Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems. - Jack FitzGerald; Shankar Ananthakrishnan; Konstantine Arkoudas; Davide Bernardi; Abhishek Bhagia; Claudio Delli Bovi; Jin Cao 003; Rakesh Chada; Amit Chauhan; Luoxin Chen; Anurag Dwarakanath; Satyam Dwivedi; et al. (CoRR, 2022)

User-Controllable Arbitrary Style Transfer via Entropy Regularization. - Jiaxin Cheng; Yue Wu 001; Ayush Jaiswal; Xu Zhang 022; Pradeep Natarajan; Prem Natarajan (AAAI, 2023)

Adversarial Robustness for Large Language NER models using Disentanglement and Word Attributions. - Xiaomeng Jin; Bhanukiran Vinzamuri; Sriram Venkatapathy; Heng Ji; Pradeep Natarajan (EMNLP (Findings), 2023)

FashionNTM: Multi-turn Fashion Image Retrieval via Cascaded Memory. - Anwesan Pal; Sahil Wadhwa; Ayush Jaiswal; Xu Zhang; Yue Wu; Rakesh Chada; Pradeep Natarajan; Henrik I. Christensen (ICCV, 2023)

Performance and Failure Cause Estimation for Machine Learning Systems in the Wild. - Xiruo Liu; Furqan Khan; Yue Niu; Pradeep Natarajan; Rinat Khaziev; Salman Avestimehr; Prateek Singhal (ICVS, 2023)

Tutorials at The Web Conference 2023. - Valeria Fionda; Olaf Hartig; Reyhaneh Abdolazimi; Sihem Amer-Yahia; Hongzhi Chen; Xiao Chen 016; Peng Cui 001; Jeffrey Dalton 001; Xin Luna Dong; Lisette Espín-Noboa; Wenqi Fan; Manuela Fritz; et al. (WWW (Companion Volume), 2023)

MoMo: A shared encoder Model for text, image and multi-Modal representations. - Rakesh Chada; Zhaoheng Zheng; Pradeep Natarajan (CoRR, 2023)

HVCLIP: High-Dimensional Vector in CLIP for Unsupervised Domain Adaptation. - Noranart Vesdapunt; Kah Kuen Fu; Yue Wu; Xu Zhang; Pradeep Natarajan (ECCV (66), 2024)

A statistical framework for multi-trait rare variant analysis in large-scale whole-genome sequencing studies. - Xihao Li; Han Chen; Margaret Sunitha Selvaraj; Eric Van Buren; Hufeng Zhou; Yuxuan Wang 008; Ryan Sun; Zachary R. McCaw; Zhi Yu; Min-Zhi Jiang; Daniel DiCorpo; Sheila M. Gaynor; et al. (Nat. Comput. Sci., 2025)