Chethan Parameshwara

According to our database, Chethan Parameshwara authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Quantitative Evaluation of Score Distillation Sampling Based Text-to-3D.

Xiaohan Fei, Chethan Parameshwara, Jiawei Mo, Xiaolong Li, Ashwin Swaminathan, CJ Taylor, Paolo Favaro, Stefano Soatto

CoRR, 2024

2023

Towards Visual Foundational Models of Physical Scenes.

Chethan Parameshwara, Alessandro Achille, Matthew Trager, Xiaolong Li, Jiawei Mo, Ashwin Swaminathan, CJ Taylor, Dheera Venkatraman, Xiaohan Fei, Stefano Soatto

CoRR, 2023

Towards an Improved Hyperdimensional Classifier for Event-Based Data.

Neal Anwar, Chethan Parameshwara, Cornelia Fermüller, Yiannis Aloimonos

Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

2022

Bio-Inspired motion perception: from ganglion cells to Autonomous Vehicles.

Chethan Parameshwara

PhD thesis, 2022

GradTac: Spatio-Temporal Gradient Based Tactile Sensing.

Kanishka Ganguly, Pavan Mantripragada, Chethan M. Parameshwara, Cornelia Fermüller, Nitin J. Sanket, Yiannis Aloimonos

Frontiers Robotics AI, 2022

AIMusicGuru: Music Assisted Human Pose Correction.

Snehesh Shrestha, Cornelia Fermüller, Tianyu Huang, Pyone Thant Win, Adam Zukerman, Chethan M. Parameshwara, Yiannis Aloimonos

CoRR, 2022

DiffPoseNet: Direct Differentiable Camera Pose Estimation.

Chethan M. Parameshwara, Gokul Hari, Cornelia Fermüller, Nitin J. Sanket, Yiannis Aloimonos

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

EVPropNet: Detecting Drones By Finding Propellers For Mid-Air Landing And Following.

Nitin J. Sanket, Chahat Deep Singh, Chethan Parameshwara, Cornelia Fermüller, Guido de Croon, Yiannis Aloimonos

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

NudgeSeg: Zero-Shot Object Segmentation by Repeated Physical Interaction.

Chahat Deep Singh, Nitin J. Sanket, Chethan M. Parameshwara, Cornelia Fermüller, Yiannis Aloimonos

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

SpikeMS: Deep Spiking Neural Network for Motion Segmentation.

Chethan M. Parameshwara, Simin Li, Cornelia Fermüller, Nitin J. Sanket, Matthew S. Evanusa, Yiannis Aloimonos

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

0-MMS: Zero-Shot Multi-Motion Segmentation With A Monocular Event Camera.

Chethan M. Parameshwara, Nitin J. Sanket, Chahat Deep Singh, Cornelia Fermüller, Yiannis Aloimonos

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

MOMS with Events: Multi-Object Motion Segmentation With Monocular Event Cameras.

Chethan M. Parameshwara, Nitin J. Sanket, Arjun Gupta, Cornelia Fermüller, Yiannis Aloimonos

CoRR, 2020

EVDodgeNet: Deep Dynamic Obstacle Dodging with Event Cameras.

Nitin J. Sanket, Chethan M. Parameshwara, Chahat Deep Singh, Ashwin V. Kuruttukulam, Cornelia Fermüller, Davide Scaramuzza, Yiannis Aloimonos

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

EVDodge: Embodied AI For High-Speed Dodging On A Quadrotor Using Event Cameras.

Nitin J. Sanket, Chethan M. Parameshwara, Chahat Deep Singh, Ashwin V. Kuruttukulam, Cornelia Fermüller, Davide Scaramuzza, Yiannis Aloimonos

CoRR, 2019

2018

Unsupervised Learning of Dense Optical Flow and Depth from Sparse Event Data.

Chengxi Ye, Anton Mitrokhin, Chethan Parameshwara, Cornelia Fermüller, James A. Yorke, Yiannis Aloimonos

CoRR, 2018

Event-Based Moving Object Detection and Tracking.

Anton Mitrokhin, Cornelia Fermüller, Chethan Parameshwara, Yiannis Aloimonos

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018