Naveen Shankar Nagaraja

According to our database1, Naveen Shankar Nagaraja authored at least 23 papers between 2012 and 2023.

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

2023
Latent Field Discovery in Interacting Dynamical Systems with Neural Fields.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Recurrent Models for Lane Change Prediction and Situation Assessment.
IEEE Trans. Intell. Transp. Syst., 2022

HW-Flow: A Multi-Abstraction Level HW-CNN Codesign Pruning Methodology.
Leibniz Trans. Embed. Syst., 2022

AnaCoNGA: Analytical HW-CNN Co-Design Using Nested Genetic Algorithms.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

Accelerating and pruning CNNs for semantic segmentation on FPGA.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021
3D Charged Particles Dataset - Roto-translated Local Coordinate Frames for Interacting Dynamical Systems.
Dataset, December, 2021

HW-FlowQ: A Multi-Abstraction Level HW-CNN Co-design Quantization Methodology.
ACM Trans. Embed. Comput. Syst., 2021

Roto-translated Local Coordinate Frames For Interacting Dynamical Systems.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Pruning CNNs for LiDAR-based Perception in Resource Constrained Environments.
Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021

Investigating Binary Neural Networks for Traffic Sign Detection and Recognition.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

BreakingBED: Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks.
Proceedings of the Intelligent Systems and Applications, 2021

Binary-LoRAX: Low-Latency Runtime Adaptable XNOR Classifier for Semi-Autonomous Grasping with Prosthetic Hands.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Adversarial Robust Model Compression Using In-Train Pruning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Hardware-Aware Mixed-Precision Neural Networks using In-Train Quantization.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Social navigation with human empowerment driven reinforcement learning.
CoRR, 2020

Binary DAD-Net: Binarized Driveable Area Detection Network for Autonomous Driving.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

ALF: Autoencoder-based Low-rank Filter-sharing for Efficient Convolutional Neural Networks.
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

L2PF - Learning to Prune Faster.
Proceedings of the Computer Vision and Image Processing - 5th International Conference, 2020

2019
SafeCritic: Collision-Aware Trajectory Prediction.
CoRR, 2019

Attention-based Lane Change Prediction.
Proceedings of the International Conference on Robotics and Automation, 2019

2015
Video Segmentation with Just a Few Strokes.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2013
A Unified Video Segmentation Benchmark: Annotation, Metrics and Analysis.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
Hierarchy of Localized Random Forests for Video Annotation.
Proceedings of the Pattern Recognition, 2012


  Loading...