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Nataraj Jammalamadaka
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2020 – today
- 2023
- [c8]Sungtae An, Nataraj Jammalamadaka, Eunji Chong:
Maximum Entropy Information Bottleneck for Uncertainty-aware Stochastic Embedding. CVPR Workshops 2023: 3809-3818
2010 – 2019
- 2019
- [i2]Dhiraj D. Kalamkar, Dheevatsa Mudigere, Naveen Mellempudi, Dipankar Das, Kunal Banerjee, Sasikanth Avancha, Dharma Teja Vooturi, Nataraj Jammalamadaka, Jianyu Huang, Hector Yuen, Jiyan Yang, Jongsoo Park, Alexander Heinecke, Evangelos Georganas, Sudarshan Srinivasan, Abhisek Kundu, Misha Smelyanskiy, Bharat Kaul, Pradeep Dubey:
A Study of BFLOAT16 for Deep Learning Training. CoRR abs/1905.12322 (2019) - 2018
- [c7]Apoorv Vyas, Nataraj Jammalamadaka, Xia Zhu, Dipankar Das, Bharat Kaul, Theodore L. Willke:
Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-Out Classifiers. ECCV (8) 2018: 560-574 - [i1]Apoorv Vyas, Nataraj Jammalamadaka, Xia Zhu, Dipankar Das, Bharat Kaul, Theodore L. Willke:
Out-of-Distribution Detection Using an Ensemble of Self Supervised Leave-out Classifiers. CoRR abs/1809.03576 (2018) - 2017
- [j1]Nataraj Jammalamadaka, Andrew Zisserman, C. V. Jawahar:
Human pose search using deep networks. Image Vis. Comput. 59: 31-43 (2017) - 2015
- [c6]Nataraj Jammalamadaka, Andrew Zisserman, C. V. Jawahar:
Human pose search using deep poselets. FG 2015: 1-8 - 2013
- [c5]Nataraj Jammalamadaka, Ayush Minocha, Digvijay Singh, C. V. Jawahar:
Parsing Clothes in Unrestricted Images. BMVC 2013 - [c4]Ayush Minocha, Digvijay Singh, Nataraj Jammalamadaka, C. V. Jawahar:
Near real-time face parsing. NCVPRIPG 2013: 1-5 - 2012
- [c3]Nataraj Jammalamadaka, Andrew Zisserman, Marcin Eichner, Vittorio Ferrari, C. V. Jawahar:
Has My Algorithm Succeeded? An Evaluator for Human Pose Estimators. ECCV (3) 2012: 114-128 - [c2]Nataraj Jammalamadaka, Andrew Zisserman, Marcin Eichner, Vittorio Ferrari, C. V. Jawahar:
Video retrieval by mimicking poses. ICMR 2012: 34
2000 – 2009
- 2007
- [c1]Nataraj Jammalamadaka, Vikram Pudi, C. V. Jawahar:
Efficient Search with Changing Similarity Measures on Large Multimedia Datasets. MMM (2) 2007: 206-215
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