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Pradeep Natarajan
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2020 – today
- 2024
- [c47]Noranart Vesdapunt, Kah Kuen Fu, Yue Wu, Xu Zhang, Pradeep Natarajan:
HVCLIP: High-Dimensional Vector in CLIP for Unsupervised Domain Adaptation. ECCV (66) 2024: 36-54 - 2023
- [c46]Jiaxin Cheng, Yue Wu, Ayush Jaiswal, Xu Zhang, Pradeep Natarajan, Prem Natarajan:
User-Controllable Arbitrary Style Transfer via Entropy Regularization. AAAI 2023: 433-441 - [c45]Xiaomeng Jin, Bhanukiran Vinzamuri, Sriram Venkatapathy, Heng Ji, Pradeep Natarajan:
Adversarial Robustness for Large Language NER models using Disentanglement and Word Attributions. EMNLP (Findings) 2023: 12437-12450 - [c44]Anwesan Pal, Sahil Wadhwa, Ayush Jaiswal, Xu Zhang, Yue Wu, Rakesh Chada, Pradeep Natarajan, Henrik I. Christensen:
FashionNTM: Multi-turn Fashion Image Retrieval via Cascaded Memory. ICCV 2023: 11289-11300 - [c43]Xiruo Liu, Furqan Khan, Yue Niu, Pradeep Natarajan, Rinat Khaziev, Salman Avestimehr, Prateek Singhal:
Performance and Failure Cause Estimation for Machine Learning Systems in the Wild. ICVS 2023: 377-390 - [c42]Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu:
Tutorials at The Web Conference 2023. WWW (Companion Volume) 2023: 648-658 - [i7]Rakesh Chada, Zhaoheng Zheng, Pradeep Natarajan:
MoMo: A shared encoder Model for text, image and multi-Modal representations. CoRR abs/2304.05523 (2023) - [i6]Anwesan Pal, Sahil Wadhwa, Ayush Jaiswal, Xu Zhang, Yue Wu, Rakesh Chada, Pradeep Natarajan, Henrik I. Christensen:
FashionNTM: Multi-turn Fashion Image Retrieval via Cascaded Memory. CoRR abs/2308.10170 (2023) - 2022
- [c41]Yu Yang, Aayush Gupta, Jianwei Feng, Prateek Singhal, Vivek Yadav, Yue Wu, Pradeep Natarajan, Varsha Hedau, Jungseock Joo:
Enhancing Fairness in Face Detection in Computer Vision Systems by Demographic Bias Mitigation. AIES 2022: 813-822 - [c40]Jianhang Chen, Xu Zhang, Yue Wu, Shalini Ghosh, Pradeep Natarajan, Shih-Fu Chang, Jan P. Allebach:
One-Stage Object Referring with Gaze Estimation. CVPR Workshops 2022: 5017-5026 - [c39]Sonam Goenka, Zhaoheng Zheng, Ayush Jaiswal, Rakesh Chada, Yue Wu, Varsha Hedau, Pradeep Natarajan:
FashionVLP: Vision Language Transformer for Fashion Retrieval with Feedback. CVPR 2022: 14085-14095 - [c38]Stefan Schroedl, Manoj Kumar, Kiana Hajebi, Morteza Ziyadi, Sriram Venkatapathy, Anil Ramakrishna, Rahul Gupta, Pradeep Natarajan:
Improving Large-Scale Conversational Assistants using Model Interpretation based Training Sample Selection. EMNLP (Industry Track) 2022: 371-378 - [c37]Jie Hao, Yang Liu, Xing Fan, Saurabh Gupta, Saleh Soltan, Rakesh Chada, Pradeep Natarajan, Chenlei Guo, Gökhan Tür:
CGF: Constrained Generation Framework for Query Rewriting in Conversational AI. EMNLP (Industry Track) 2022: 475-483 - [c36]Gourav Datta, Tyler Etchart, Vivek Yadav, Varsha Hedau, Pradeep Natarajan, Shih-Fu Chang:
Asd-Transformer: Efficient Active Speaker Detection Using Self And Multimodal Transformers. ICASSP 2022: 4568-4572 - [c35]Jack FitzGerald, Shankar Ananthakrishnan, Konstantine Arkoudas, Davide Bernardi, Abhishek Bhagia, Claudio Delli Bovi, Jin Cao, Rakesh Chada, Amit Chauhan, Luoxin Chen, Anurag Dwarakanath, Satyam Dwivedi, Turan Gojayev, Karthik Gopalakrishnan, Thomas Gueudré, Dilek Hakkani-Tur, Wael Hamza, Jonathan J. Hüser, Kevin Martin Jose, Haidar Khan, Beiye Liu, Jianhua Lu, Alessandro Manzotti, Pradeep Natarajan, Karolina Owczarzak, Gokmen Oz, Enrico Palumbo, Charith Peris, Chandana Satya Prakash, Stephen Rawls, Andy Rosenbaum, Anjali Shenoy, Saleh Soltan, Mukund Harakere Sridhar, Lizhen Tan, Fabian Triefenbach, Pan Wei, Haiyang Yu, Shuai Zheng, Gökhan Tür, Prem Natarajan:
Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems. KDD 2022: 2893-2902 - [c34]Krishnaram Kenthapadi, Himabindu Lakkaraju, Pradeep Natarajan, Mehrnoosh Sameki:
Model Monitoring in Practice: Lessons Learned and Open Challenges. KDD 2022: 4800-4801 - [c33]Rinat Khaziev, Usman Shahid, Tobias Röding, Rakesh Chada, Emir Kapanci, Pradeep Natarajan:
FPI: Failure Point Isolation in Large-scale Conversational Assistants. NAACL-HLT (Industry Papers) 2022: 141-148 - [i5]Jack FitzGerald, Shankar Ananthakrishnan, Konstantine Arkoudas, Davide Bernardi, Abhishek Bhagia, Claudio Delli Bovi, Jin Cao, Rakesh Chada, Amit Chauhan, Luoxin Chen, Anurag Dwarakanath, Satyam Dwivedi, Turan Gojayev, Karthik Gopalakrishnan, Thomas Gueudré, Dilek Hakkani-Tur, Wael Hamza, Jonathan J. Hüser, Kevin Martin Jose, Haidar Khan, Beiye Liu, Jianhua Lu, Alessandro Manzotti, Pradeep Natarajan, Karolina Owczarzak, Gokmen Oz, Enrico Palumbo, Charith Peris, Chandana Satya Prakash, Stephen Rawls, Andy Rosenbaum, Anjali Shenoy, Saleh Soltan, Mukund Harakere Sridhar, Liz Tan, Fabian Triefenbach, Pan Wei, Haiyang Yu, Shuai Zheng, Gökhan Tür, Prem Natarajan:
Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems. CoRR abs/2206.07808 (2022) - 2021
- [c32]Rakesh Chada, Pradeep Natarajan, Darshan Fofadiya, Prathap Ramachandra:
Error Detection in Large-Scale Natural Language Understanding Systems Using Transformer Models. ACL/IJCNLP (Findings) 2021: 498-503 - [c31]Jiaxin Cheng, Ayush Jaiswal, Yue Wu, Pradeep Natarajan, Prem Natarajan:
Style-Aware Normalized Loss for Improving Arbitrary Style Transfer. CVPR 2021: 134-143 - [c30]Rakesh Chada, Pradeep Natarajan:
FewshotQA: A simple framework for few-shot learning of question answering tasks using pre-trained text-to-text models. EMNLP (1) 2021: 6081-6090 - [c29]Aayush Gupta, Ayush Jaiswal, Yue Wu, Vivek Yadav, Pradeep Natarajan:
Adversarial Mask Generation for Preserving Visual Privacy. FG 2021: 1-5 - [c28]Ayush Jaiswal, Yue Wu, Pradeep Natarajan, Premkumar Natarajan:
Class-agnostic Object Detection. WACV 2021: 918-927 - [i4]Jiaxin Cheng, Ayush Jaiswal, Yue Wu, Pradeep Natarajan, Prem Natarajan:
Style-Aware Normalized Loss for Improving Arbitrary Style Transfer. CoRR abs/2104.10064 (2021) - [i3]Rakesh Chada, Pradeep Natarajan, Darshan Fofadiya, Prathap Ramachandra:
Error Detection in Large-Scale Natural Language Understanding Systems Using Transformer Models. CoRR abs/2109.01754 (2021) - [i2]Rakesh Chada, Pradeep Natarajan:
FewshotQA: A simple framework for few-shot learning of question answering tasks using pre-trained text-to-text models. CoRR abs/2109.01951 (2021) - 2020
- [c27]Ayush Jaiswal, Simranjit Singh, Yue Wu, Pradeep Natarajan, Premkumar Natarajan:
Keypoints-aware Object Detection. Preregister@NeurIPS 2020: 62-72 - [i1]Ayush Jaiswal, Yue Wu, Pradeep Natarajan, Premkumar Natarajan:
Class-agnostic Object Detection. CoRR abs/2011.14204 (2020)
2010 – 2019
- 2014
- [j3]Brian H. Tracey, Eric L. Miller, Yue Wu, Pradeep Natarajan, Joseph P. Noonan:
A constrained optimization approach to combining multiple non-local means denoising estimates. Signal Process. 103: 60-68 (2014) - [c26]Shuang Wu, Sravanthi Bondugula, Florian Luisier, Xiaodan Zhuang, Pradeep Natarajan:
Zero-Shot Event Detection Using Multi-modal Fusion of Weakly Supervised Concepts. CVPR 2014: 2665-2672 - [c25]Shengxin Zha, Xujun Peng, Huaigu Cao, Xiaodan Zhuang, Pradeep Natarajan, Prem Natarajan:
Text Classification via iVector Based Feature Representation. Document Analysis Systems 2014: 151-155 - [c24]Arpit Jain, Xujun Peng, Xiaodan Zhuang, Pradeep Natarajan, Huaigu Cao:
Text detection and recognition in natural scenes and consumer videos. ICASSP 2014: 1245-1249 - [c23]Shuang Wu, Xiaodan Zhuang, Pradeep Natarajan:
Effective representations for leveraging language content in multimedia event detection. ICASSP 2014: 7123-7127 - 2013
- [j2]Pradeep Natarajan, Ramakant Nevatia:
Hierarchical multi-channel hidden semi Markov graphical models for activity recognition. Comput. Vis. Image Underst. 117(10): 1329-1344 (2013) - [c22]Aravind Namandi Vembu, Pradeep Natarajan, Shuang Wu, Rohit Prasad, Prem Natarajan:
Graph based multimodal word clustering for video event detection. ICASSP 2013: 3667-3671 - [c21]Xiaodan Zhuang, Shuang Wu, Pradeep Natarajan, Rohit Prasad, Prem Natarajan:
Audio self organized units for high-level event detection. INTERSPEECH 2013: 2953-2957 - [c20]Xiaodan Zhuang, Shuang Wu, Pradeep Natarajan:
Compact bag-of-words visual representation for effective linear classification. ACM Multimedia 2013: 521-524 - [c19]Pradeep Natarajan, Shuang Wu, Florian Luisier, Xiaodan Zhuang, Manasvi Tickoo, Guangnan Ye, Dong Liu, Shih-Fu Chang, Imran Saleemi, Mubarak Shah, Vlad I. Morariu, Larry Davis, Abhinav Gupta, Ismail Haritaoglu, Sadiye Guler, Ashutosh Morde:
BBN VISER TRECVID 2013 Multimedia Event Detection and Multimedia Event Recounting Systems. TRECVID 2013 - [c18]Shiv Naga Prasad Vitaladevuni, Pradeep Natarajan, Shuang Wu, Xiaodan Zhuang, Rohit Prasad, Premkumar Natarajan:
Scene image categorization and video event detection using Naive Bayes Nearest Neighbor. WACV 2013: 140-147 - [c17]Devansh Arpit, Shuang Wu, Pradeep Natarajan, Rohit Prasad, Premkumar Natarajan:
Ridge Regression based classifiers for large scale class imbalanced datasets. WACV 2013: 267-274 - 2012
- [c16]Pradeep Natarajan, Shuang Wu, Shiv Naga Prasad Vitaladevuni, Xiaodan Zhuang, Stavros Tsakalidis, Unsang Park, Rohit Prasad, Premkumar Natarajan:
Multimodal feature fusion for robust event detection in web videos. CVPR 2012: 1298-1305 - [c15]Pradeep Natarajan, Shuang Wu, Shiv Naga Prasad Vitaladevuni, Xiaodan Zhuang, Unsang Park, Rohit Prasad, Premkumar Natarajan:
Multi-channel Shape-Flow Kernel Descriptors for Robust Video Event Detection and Retrieval. ECCV (2) 2012: 301-314 - [c14]Xiaodan Zhuang, Stavros Tsakalidis, Shuang Wu, Pradeep Natarajan, Rohit Prasad, Prem Natarajan:
Compact Audio Representation for Event Detection in Consumer Media. INTERSPEECH 2012: 2089-2092 - [c13]Stavros Tsakalidis, Xiaodan Zhuang, Roger Hsiao, Shuang Wu, Pradeep Natarajan, Rohit Prasad, Prem Natarajan:
Robust Event Detection From Spoken Content In Consumer Domain Videos. INTERSPEECH 2012: 2101-2104 - [c12]Pradeep Natarajan, Prem Natarajan, Shuang Wu, Xiaodan Zhuang, Amelio Vázquez Reina, Shiv Vitaladevuni, Kleovoulos Tsourides, Carl Andersen, Rohit Prasad, Guangnan Ye, Dong Liu, Shih-Fu Chang, Imran Saleemi, Mubarak Shah, Yue Ng, Brandyn White, Larry Davis, Abhinav Gupta, Ismail Haritaoglu:
BBNVISER : BBN VISER TRECVID 2012 Multimedia Event Detection and Multimedia Event Recounting Systems. TRECVID 2012 - 2011
- [j1]Wen Liu, Mukul Mukherjee, Soek Hun Kim, Hongzeng Liu, Pradeep Natarajan, Arvin Agah:
Developing a sensory-enhanced robot-aided motor training programme. Int. J. Mechatronics Autom. 1(3/4): 236-243 (2011) - [c11]Yue Wu, Pradeep Natarajan, Joseph P. Noonan, Rohit Prasad, Premkumar Natarajan:
Wavelet Band-pass Filters for Matching Multiple Templates in Real-time. BMVC 2011: 1-12 - [c10]Shiv Naga Prasad Vitaladevuni, Pradeep Natarajan, Rohit Prasad, Prem Natarajan:
Efficient Orthogonal Matching Pursuit using sparse random projections for scene and video classification. ICCV 2011: 2312-2319 - [c9]Pradeep Natarajan, David Belanger, Rohit Prasad, Matin Kamali, Krishna Subramanian, Prem Natarajan:
Baseline Dependent Percentile Features for Offline Arabic Handwriting Recognition. ICDAR 2011: 329-333 - [c8]Pradeep Natarajan, Yue Wu, Shirin Saleem, Ehry MacRostie, Frederick Bernardin, Rohit Prasad, Prem Natarajan:
Large-scale, real-time logo recognition in broadcast videos. ICME 2011: 1-4 - [c7]Pradeep Natarajan, Stavros Tsakalidis, Vasant Manohar, Rohit Prasad, Premkumar Natarajan:
Unsupervised Audio Analysis for Categorizing Heterogeneous Consumer Domain Videos. INTERSPEECH 2011: 313-316 - [c6]Vasant Manohar, Stavros Tsakalidis, Pradeep Natarajan, Rohit Prasad, Prem Natarajan:
Audio-visual fusion using bayesian model combination for web video retrieval. ACM Multimedia 2011: 1537-1540 - [c5]Pradeep Natarajan, Prem Natarajan, Vasant Manohar, Shuang Wu, Stavros Tsakalidis, Shiv Vitaladevuni, Xiaodan Zhuang, Rohit Prasad, Guangnan Ye, Dong Liu, I-Hong Jhuo, Shih-Fu Chang, Hamid Izadinia, Imran Saleemi, Mubarak Shah, Brandyn White, Tom Yeh, Larry Davis:
BBN VISER TRECVID 2011 Multimedia Event Detection System. TRECVID 2011 - 2010
- [c4]Pradeep Natarajan, Vivek Kumar Singh, Ram Nevatia:
Learning 3D action models from a few 2D videos for view invariant action recognition. CVPR 2010: 2006-2013 - [c3]Pradeep Natarajan, Prithviraj Banerjee, Ram Nevatia:
Accurate person tracking through changing poses for multi-view action recognition. ICVGIP 2010: 155-161 - [p1]Pradeep Natarajan, Ramakant Nevatia:
Graphical Models for Representation and Recognition of Human Actions. Machine Learning for Human Motion Analysis 2010: 31-54
2000 – 2009
- 2008
- [c2]Pradeep Natarajan, Ram Nevatia:
View and scale invariant action recognition using multiview shape-flow models. CVPR 2008 - 2007
- [c1]Pradeep Natarajan, Ramakant Nevatia:
Hierarchical Multi-channel Hidden Semi Markov Models. IJCAI 2007: 2562-2567
Coauthor Index
aka: Prem Natarajan
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last updated on 2024-12-11 21:42 CET by the dblp team
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