Srinivas S. Kruthiventi

Orcid: 0000-0002-5270-6385

According to our database1, Srinivas S. Kruthiventi authored at least 12 papers between 2014 and 2019.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2019
Attack Agnostic Statistical Method for Adversarial Detection.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2017
DeepFix: A Fully Convolutional Neural Network for Predicting Human Eye Fixations.
IEEE Trans. Image Process., 2017

Low-light pedestrian detection from RGB images using multi-modal knowledge distillation.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

An Introduction to Deep Convolutional Neural Nets for Computer Vision.
Proceedings of the Deep Learning for Medical Image Analysis, 1st Edition, 2017

2016
SwiDeN: Convolutional Neural Networks For Depiction Invariant Object Recognition.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

CrowdNet: A Deep Convolutional Network for Dense Crowd Counting.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Saliency Unified: A Deep Architecture for simultaneous Eye Fixation Prediction and Salient Object Segmentation.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision.
Frontiers Robotics AI, 2015

Crowd flow segmentation in compressed domain using CRF.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Dominant flow extraction and analysis in traffic surveillance videos.
Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

2014
3D Action Recognition by Learning Sequences of Poses.
Proceedings of the 2014 Indian Conference on Computer Vision, 2014


  Loading...