372 citations · 849 across the 97 of their papers we have counts for
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EVDodgeNet: Deep Dynamic Obstacle Dodging with Event Cameras
Nitin J. Sanket, Chethan M. Parameshwara, Chahat Deep Singh +4
Dynamic obstacle avoidance on quadrotors requires low latency. A class of sensors that are particularly suitable for such scenarios are event cameras. In this paper, we present a d…
Network Deconvolution
Chengxi Ye, Matthew Evanusa, Hua He +5
Convolution is a central operation in Convolutional Neural Networks (CNNs), which applies a kernel to overlapping regions shifted across the image. However, because of the strong c…
Computational Tactile Flow for Anthropomorphic Grippers
Kanishka Ganguly, Behzad Sadrfaridpour, Cornelia Fermüller +1
Grasping objects requires tight integration between visual and tactile feedback. However, there is an inherent difference in the scale at which both these input modalities operate.…
EV-IMO: Motion Segmentation Dataset and Learning Pipeline for Event Cameras
Anton Mitrokhin, Chengxi Ye, Cornelia Fermuller +2
We present the first event-based learning approach for motion segmentation in indoor scenes and the first event-based dataset - EV-IMO - which includes accurate pixel-wise motion m…