I have successfully defended my thesis in December 2016.
I am going to start as Machine Learning Research Scientist at Apple starting from July 2017.
PhD student
Member LEAR Team, INRIA Rhone-Alpes, Grenoble, France
Short Bio
I am in the third and final year of my Ph.D at INRIA. I am pursuing my PhD under the supervision of
Jakob Verbeek and
Cordelia Schmid .
I received my Master's degree in Computer Science from the
Université Joseph Fourier (UJF), Grenoble, France
and carried out my thesis under
Jakob Verbeek . My thesis was on
Metric learning for face verification.
You can find my CV
here.
I can be reached by email at
shreyas[dot]saxena2[at]gmail[dot]com.
I am working on data and method driven machine learning models for the image/scene understanding, image segmentation, verification and retrieval and dimensionality reduction methods. At the moment, following topics are of interest:
- Architecture learning.
- Learning dynamic CNN models, where the network parameters are conditioned on the input.
- Training extremely deep networks via teacher student paradigm.
Topics I have not worked on directly, but keen on exploring in future:
- Generative adversarial networks for image synthesis from text, and sampling from the latent space.
- Memory networks in the context of question and answering.
Recent Work
![](ssaxena/image/CNF.png) |
Shreyas Saxena, Jakob Verbeek,
Neural Information Processing Systems (NIPS), Dec 2016, Barcelona, Spain.
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![](https://thumb.ccsd.cnrs.fr/8117739/thumb/little) |
Shreyas Saxena, Jakob Verbeek,
ECCV TASK-CV workshop, Oct 2016, Amsterdam, Netherlands.
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![](https://hal.inria.fr/hal-01215272/file/thumbnail.jpg) |
Shreyas Saxena, Jakob Verbeek,
ICCV ChaLearn Looking at People workshop, Dec 2015, Santiago, Chile.
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