Hemanth Venkateswara bio photo

Hemanth Venkateswara

I am a researcher in machine learning and computer vision. I work on deep learning based domain adaptation. I enjoy Sanskrit poetry.

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Publications

My Google Scholar profile.

Journals, Conferences and Workshops

  • H. Venkateswara, S. Chakraborty, and S. Panchanathan
    Deep-Learning Systems for Domain Adaptation in Computer Vision: Learning Transferable Feature Representations
    IEEE Signal Processing Magazine, Nov 2017.
    [BibTeX] [PDF]

    @article{venkateswara2017deep1,
      title={Deep-Learning Systems for Domain Adaptation in Computer Vision: Learning Transferable Feature Representations},
      author={Venkateswara, Hemanth and Chakraborty, Shayok and Panchanathan, Sethuraman},
      journal={IEEE Signal Processing Magazine},
      volume={34},
      number={6},
      pages={117--129},
      year={2017},
      publisher={IEEE}
    }
  • H. Venkateswara, J. Eusebio, S. Chakraborty, and S. Panchanathan
    Deep Hashing Network for Unsupervised Domain Adaptation
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
    [BibTeX] [PDF] [CODE] [DATASET]

    @inproceedings{venkateswara2017Deep,
      title={Deep Hashing Network for Unsupervised Domain Adaptation},
      author={Venkateswara, Hemanth and Eusebio, Jose and Chakraborty, Shayok and Panchanathan, Sethuraman},
      booktitle={({IEEE}) Conference on Computer Vision and Pattern Recognition ({CVPR})},
      year={2017}
    }
  • R. Venkatesan, H. Venkateswara, S. Panchanathan, and B. Li
    A Strategy for an Uncompromising Incremental Learner
    submitted - under review, 2017.
    [BibTeX] [PDF] [CODE]

    @article{venkatesan2017strategy,
      title={A Strategy for an Uncompromising Incremental Learner},
      author={Venkatesan, Ragav and Venkateswara, Hemanth and Panchanathan, Sethuraman and Li, Baoxin},
      journal={arXiv preprint arXiv:1705.00744},
      year={2017}
    }
  • H. Ranganathan, H. Venkateswara, S. Chakraborty, and S. Panchanathan
    Deep Active Learning for Image Classification
    IEEE Conference on Image Processing (ICIP), 2017.
    [BibTeX]

    @inproceedings{ranganathan2017Deep,
      title={Deep Active Learning for Image Classification},
      author={Ranganathan, Hiranmayi and Venkateswara, Hemanth and Chakraborty, Shayok and Panchanathan, Sethuraman},
      booktitle={({IEEE}) International Conference on Image Processing ({ICIP})},
      year={2017}
    }
  • H. Venkateswara, S. Chakraborty, T. McDaniel, and S. Panchanathan
    Model Selection with Nonlinear Embedding for Unsupervised Domain Adaptation
    KnowPros Workshop AAAI Conference, 2017.
    [BibTeX] [PDF]

    @inproceedings{venkateswara2016model,
      title={Model Selection with Nonlinear Embedding for Unsupervised Domain Adaptation},
      author={Venkateswara, Hemanth and Chakraborty, Shayok and McDaniel, Troy and Panchanathan, Sethuraman},
      booktitle={KnowPros Workshop - Proceedings of the {AAAI} Conf. on Artificial Intelligence},
      year={2017}
    }
  • H. Venkateswara, S. Chakraborty, and S. Panchanathan
    Nonlinear Embedding Transform for Unsupervised Domain Adaptation
    TASKCV Workshop, European Conference on Computer Vision (ECCV), 2016.
    [BibTeX] [PDF]

    @inproceedings{venkateswara2016nonlinear,
      title={Nonlinear Embedding Transform for Unsupervised Domain Adaptation},
      author={Venkateswara, Hemanth and Chakraborty, Shayok and Panchanathan, Sethuraman},
      booktitle={TASKCV Workshop, Proceedings of the European Conference on Computer Vision ({ECCV})}},
      pages={451--457},
      year={2016},
      organization={Springer}
    }
  • H. Venkateswara, P. Lade, B. Lin, J. Ye, and S. Panchanathan
    Efficient Approximate Solutions to Mutual Information Based Global Feature Selection
    IEEE International Conference on Data Mining (ICDM), 2015.
    [BibTeX] [PDF]

    @inproceedings{venkateswara2015efficient,
      title={Efficient Approximate Solutions to Mutual Information Based Global Feature Selection},
      author={Venkateswara, Hemanth and Lade, Prasanth and Lin, Binbin and Ye, Jieping and Panchanathan, Sethuraman},
      booktitle={Proceedings of the ({IEEE}) Intl. conf. on Data Mining ({ICDM})},
      pages={1009--1014},
      year={2015}
    }
  • H. Venkateswara, P. Lade, J. Ye, and S. Panchanathan
    Coupled Support Vector Machines for Supervised Domain Adaptation
    ACM Conference on Multimedia (ACM-MM), 2015.
    [BibTeX] [PDF]

    @inproceedings{venkateswara2015coupled,
      title={Coupled Support Vector Machines for Supervised Domain Adaptation},
      author={Venkateswara, Hemanth and Lade, Prasanth and Ye, Jieping and Panchanathan, Sethuraman},
      booktitle={Proceedings of the {ACM} Intl. Conf. on Multimedia ({ACM-MM})}},
      pages={1295--1298},
      year={2015},
    }
  • H. Venkateswara, V. N. Balasubramanian, P. Lade, and S. Panchanathan
    Multiresolution Match Kernels for Gesture Video Classification
    IEEE International Conference on Multimedia and Expo Workshops (ICME-W), 2013.
    [BibTeX] [PDF]

    @inproceedings{venkateswara2013multiresolution,
      title={Multiresolution Match Kernels for Gesture Video Classification},
      author={Venkateswara, Hemanth and Balasubramanian, Vineeth N and Lade, Prasanth and Panchanathan, Sethuraman},
      booktitle={Proceedings of the {IEEE} Intl. Conf. on Multimedia and Expo Workshops {(ICME)}},
      pages={1--4},
      year={2013}
    }
  • S. Chakraborty, H. Venkateswara, V. N. Balasubramanian, and S. Panchanathan
    Active Batch Selection for Fuzzy Classification in Facial Expression Recognition
    International Conference on Machine Learning Applications (ICMLA), 2011.
    [BibTeX]

    @inproceedings{chakraborty2011active,
      title={Active Batch Selection for Fuzzy Classification in Facial Expression Recognition},
      author={Chakraborty, Shayok and Venkateswara, Hemanth and Balasubramanian, Vineeth and Panchanathan, Sethuraman},
      booktitle={Machine Learning and Applications and Workshops (ICMLA), 2011 10th International Conference on},
      volume={1},
      pages={241--246},
      year={2011},
      organization={IEEE}
    }

Book Chapter

  • V. N. Balasubramanian, P. Lade, H. Venkateswara, E. Smirnov and S. Panchanathan
    Other Adaptations
    Book Title: Conformal Prediction for Reliable Machine Learning: Theory, Adaptations and Applications Morgan Kaufmann Publishers, 2014.
    [BibTeX]

    @incollection{balasubramanian2014other,
      title={Other Adaptations},
      author={Balasubramanian, Vineeth N and Lade, Prasanth and Venkateswara, Hemanth and Smirnov, Evgueni and Panchanathan, Sethuraman},
      booktitle={Conformal Prediction for Reliable Machine Learning: Theory, Adaptations and Applications},
      pages={183–197}
      year={2014},
      publisher={Elsevier Inc.}
    }

Thesis

  • PhD thesis
    Domain Adaptive Computational Models for Computer Vision, Arizona State University, 2017
    [BibTeX] [PDF]

    @phdthesis{venkateswaraPhDThesis2017,
        author = {Hemanth Venkateswara},
        title = {Domain Adaptive Computational Models for Computer Vision},
        school = {Arizona State University},
        year = {2017}
    }