M. Varma

发表

Learning The Discriminative Power-Invariance Trade-Off

Manik Varma, Debajyoti Ray, M. Varma, 2007, 2007 IEEE 11th International Conference on Computer Vision.

A Statistical Approach to Texture Classification from Single Images

Andrew Zisserman, M. Varma, 2004, International Journal of Computer Vision.

GesturePod : Programmable Gesture Recognition for Augmenting Assistive Devices

Shishir G. Patil, Prateek Jain, M. Varma, 2018 .

GesturePod: Enabling On-device Gesture-based Interaction for White Cane Users

Prateek Jain, Manik Varma, Harsha Vardhan Simhadri, 2019, UIST.

GesturePod: Gesture-based Interaction Cane for People with Visual Impairments

Shishir G. Patil, Prateek Jain, Vivek Seshadri, 2018 .

Classifying materials from images: to cluster or not to cluster?

Andrew Zisserman, Manik Varma, Andrew Zisserman, 2002, European Conference on Computer Vision.

Texture classification: are filter banks necessary?

Andrew Zisserman, Manik Varma, Andrew Zisserman, 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

Sparse Local Embeddings for Extreme Multi-label Classification

Prateek Jain, Manik Varma, Purushottam Kar, 2015, NIPS.

Extreme Multi-label Loss Functions for Recommendation, Tagging, Ranking & Other Missing Label Applications

Manik Varma, Himanshu Jain, Yashoteja Prabhu, 2016, KDD.

Character Recognition in Natural Images

Manik Varma, Teófilo Emídio de Campos, Bodla Rakesh Babu, 2009, VISAPP.

Multi-label learning with millions of labels: recommending advertiser bid phrases for web pages

Manik Varma, Archit Gupta, Rahul Agrawal, 2013, WWW.

A Statistical Approach to Material Classification Using Image Patch Exemplars

Andrew Zisserman, Manik Varma, Andrew Zisserman, 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Statistical Approaches to Texture Classification

M. Varma, 2004 .

ProtoNN: Compressed and Accurate kNN for Resource-scarce Devices

Prateek Jain, Saurabh Goyal, Manik Varma, 2017, ICML.

FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network

Prateek Jain, Manik Varma, Ashish Kumar, 2018, NeurIPS.

Unifying statistical texture classification frameworks

Andrew Zisserman, Manik Varma, Andrew Zisserman, 2004, Image Vis. Comput..

A Statistical Approach to Texture Classification from Single Images

Andrew Zisserman, Manik Varma, Andrew Zisserman, 2005, International Journal of Computer Vision.

Classifying Images of Materials: Achieving Viewpoint and Illumination Independence

Andrew Zisserman, Manik Varma, Andrew Zisserman, 2002, ECCV.

Efficient max-margin multi-label classification with applications to zero-shot learning

S. V. N. Vishwanathan, Manik Varma, Bharath Hariharan, 2012, Machine Learning.

Estimating illumination direction from textured images

Andrew Zisserman, Manik Varma, Andrew Zisserman, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

Large Scale Max-Margin Multi-Label Classification with Priors

Lihi Zelnik-Manor, S. V. N. Vishwanathan, Manik Varma, 2010, ICML.

More generality in efficient multiple kernel learning

Manik Varma, Bodla Rakesh Babu, M. Varma, 2009, ICML '09.

Spectral Projected Gradient Descent for Efficient and Large Scale Generalized Multiple Kernel Learni

M. Varma, A. Jain, 2012 .

Local Statistical Operators for Texture Classification

Andrew Zisserman, Manik Varma, Andrew Zisserman, 2008 .

DeepXML: Scalable & Accurate Deep Extreme Classification for Matching User Queries to Advertiser Bid Phrases

Sumeet Agarwal, Manik Varma, Anshul Mittal, 2019 .

NGAME: Negative Mining-aware Mini-batching for Extreme Classification

Deepesh V. Hada, M. Varma, Vidit Jain, 2022, WSDM.

ICVGIP 2014 : nineth Indian Conference on Computer Vision Graphics and Image Processing : proceedings : December 14-17, 2014, Indian Institute of Science (IISc), Bangalore

Jitendra Malik, C. V. Jawahar, A. G. Ramakrishnan, 2014 .

Slice: Scalable Linear Extreme Classifiers Trained on 100 Million Labels for Related Searches

Venkatesh Balasubramanian, Manik Varma, Himanshu Jain, 2019, WSDM.

Multiple kernels for object detection

Andrew Zisserman, Andrea Vedaldi, Varun Gulshan, 2009, 2009 IEEE 12th International Conference on Computer Vision.

SPF-GMKL: generalized multiple kernel learning with a million kernels

S. V. N. Vishwanathan, Manik Varma, Ashesh Jain, 2012, KDD.

Multiple Kernel Learning and the SMO Algorithm

S. V. N. Vishwanathan, Manik Varma, Zhaonan sun, 2010, NIPS.

Active learning for sparse bayesian multilabel classification

Ashish Kapoor, Manik Varma, Deepak Vasisht, 2014, KDD.

One Size Does Not Fit All: Multi-Scale, Cascaded RNNs for Radar Classification

Anish Arora, Manik Varma, Sangeeta Srivastava, 2019, BuildSys@SenSys.

Resource-efficient Machine Learning in 2 KB RAM for the Internet of Things

Saurabh Goyal, Manik Varma, Ashish Kumar, 2017, ICML.

RNNPool: Efficient Non-linear Pooling for RAM Constrained Inference

Prateek Jain, Aditya Kusupati, M. Varma, 2020, NeurIPS.

Extreme Multi-label Learning with Label Features for Warm-start Tagging, Ranking & Recommendation

Manik Varma, Kunal Dahiya, Rahul Agrawal, 2018, WSDM.

GesturePod

Shishir G. Patil, M. Varma, H. Simhadri, 2019, Proceedings of the 32nd Annual ACM Symposium on User Interface Software and Technology.

FastXML: a fast, accurate and stable tree-classifier for extreme multi-label learning

Manik Varma, Yashoteja Prabhu, M. Varma, 2014, KDD.

DECAF: Deep Extreme Classification with Label Features

Manik Varma, Anshul Mittal, Purushottam Kar, 2021, WSDM.

DeepXML: A Deep Extreme Multi-Label Learning Framework Applied to Short Text Documents

Manik Varma, Anshul Mittal, Akshay Soni, 2021, WSDM.

Locally Invariant Fractal Features for Statistical Texture Classification

Manik Varma, Rahul Garg, M. Varma, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Estimating illumination direction from textured images

Andrew Zisserman, M. Varma, 2004, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004..

Statistical Approaches to Material Classification

Andrew Zisserman, Manik Varma, Andrew Zisserman, 2002, ICVGIP.

Extreme Regression for Dynamic Search Advertising

Manik Varma, Yashoteja Prabhu, Nilesh Gupta, 2020, WSDM.

Lightweight, Deep RNNs for Radar Classification

Anish Arora, Manik Varma, Pranshu Jain, 2019, BuildSys@SenSys.

On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection

Manik Varma, Pratik Jawanpuria, J. Saketha Nath, 2014, ICML.

ECLARE: Extreme Classification with Label Graph Correlations

Manik Varma, Anshul Mittal, Purushottam Kar, 2021, WWW.

One Size Does Not Fit All

Anish Arora, Manik Varma, Pranshu Jain, 2021, ACM Trans. Sens. Networks.