Event-Based Moving Object Detection and Tracking. - Anton Mitrokhin; Cornelia Fermüller; Chethan Parameshwara; Yiannis Aloimonos (IROS, 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)

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 001; Yiannis Aloimonos (CoRR, 2019)

EVDodgeNet: Deep Dynamic Obstacle Dodging with Event Cameras. - Nitin J. Sanket; Chethan M. Parameshwara; Chahat Deep Singh; Ashwin V. Kuruttukulam; Cornelia Fermüller; Davide Scaramuzza 001; Yiannis Aloimonos (ICRA, 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)

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 (ICRA, 2021)

SpikeMS: Deep Spiking Neural Network for Motion Segmentation. - Chethan M. Parameshwara; Simin Li; Cornelia Fermüller; Nitin J. Sanket; Matthew S. Evanusa; Yiannis Aloimonos (IROS, 2021)

NudgeSeg: Zero-Shot Object Segmentation by Repeated Physical Interaction. - Chahat Deep Singh; Nitin J. Sanket; Chethan M. Parameshwara; Cornelia Fermüller; Yiannis Aloimonos (IROS, 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 (Robotics: Science and Systems, 2021)

DiffPoseNet: Direct Differentiable Camera Pose Estimation. - Chethan M. Parameshwara; Gokul Hari; Cornelia Fermüller; Nitin J. Sanket; Yiannis Aloimonos (CVPR, 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)

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)

Bio-Inspired motion perception: from ganglion cells to Autonomous Vehicles. - Chethan Parameshwara (2022)

Towards an Improved Hyperdimensional Classifier for Event-Based Data. - Neal Anwar; Chethan Parameshwara; Cornelia Fermüller; Yiannis Aloimonos (CISS, 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)

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)

Grounded Compositional and Diverse Text-to-3D with Pretrained Multi-View Diffusion Model. - Xiaolong Li; Jiawei Mo; Ying Wang; Chethan Parameshwara; Xiaohan Fei; Ashwin Swaminathan; CJ Taylor; Zhuowen Tu; Paolo Favaro; Stefano Soatto (CoRR, 2024)