4 papers
Asynchronous Bioplausible Neuron for SNN for Event Vision
Sanket Kachole, Hussain Sajwani, Fariborz Baghaei Naeini +2
Spiking Neural Networks (SNNs) offer a biologically inspired approach to computer vision that can lead to more efficient processing of visual data with reduced energy consumption.…
Bimodal SegNet: Instance Segmentation Fusing Events and RGB Frames for Robotic Grasping
Sanket Kachole, Xiaoqian Huang, Fariborz Baghaei Naeini +3
Object segmentation for robotic grasping under dynamic conditions often faces challenges such as occlusion, low light conditions, motion blur and object size variance. To address t…
Spatio-Temporal State Space Model For Efficient Event-Based Optical Flow
Muhammad Ahmed Humais, Xiaoqian Huang, Hussain Sajwani +2
Event cameras unlock new frontiers that were previously unthinkable with standard frame-based cameras. One notable example is low-latency motion estimation (optical flow), which is…
EV-LayerSegNet: Self-supervised Motion Segmentation using Event Cameras
Youssef Farah, Federico Paredes-Vallés, Guido De Croon +3
Event cameras are novel bio-inspired sensors that capture motion dynamics with much higher temporal resolution than traditional cameras, since pixels react asynchronously to bright…