Kishore Reddy Konda

According to our database1, Kishore Reddy Konda authored at least 17 papers between 2012 and 2017.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2017
Building effective deep neural network architectures one feature at a time.
CoRR, 2017

2016
Unsupervised relational feature learning for vision.
PhD thesis, 2016

EmoNets: Multimodal deep learning approaches for emotion recognition in video.
J. Multimodal User Interfaces, 2016

2015
How far can we go without convolution: Improving fully-connected networks.
CoRR, 2015

Dropout as data augmentation.
CoRR, 2015

EmoNets: Multimodal deep learning approaches for emotion recognition in video.
CoRR, 2015

Learning Visual Odometry with a Convolutional Network.
Proceedings of the VISAPP 2015, 2015

Recurrent Neural Networks for Emotion Recognition in Video.
Proceedings of the 2015 ACM on International Conference on Multimodal Interaction, Seattle, WA, USA, November 09, 2015

Real-time activity recognition via deep learning of motion features.
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

2014
Modeling sequential data using higher-order relational features and predictive training.
CoRR, 2014

Zero-bias autoencoders and the benefits of co-adapting features.
CoRR, 2014

Modeling Deep Temporal Dependencies with Recurrent "Grammar Cells".
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

A unified approach to learning depth and motion features.
Proceedings of the 2014 Indian Conference on Computer Vision, 2014

2013
The role of spatio-temporal synchrony in the encoding of motion.
CoRR, 2013

Unsupervised learning of depth and motion.
CoRR, 2013


2012
Real time interaction with mobile robots using hand gestures.
Proceedings of the International Conference on Human-Robot Interaction, 2012


  Loading...