6 citations · 8 across the 6 of their papers we have counts for
5 papers · 1 filter
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…
Asynchronous Events-based Panoptic Segmentation using Graph Mixer Neural Network
Sanket Kachole, Yusra Alkendi, Fariborz Baghaei Naeini +2
In the context of robotic grasping, object segmentation encounters several difficulties when faced with dynamic conditions such as real-time operation, occlusion, low lighting, mot…
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…
A Neuromorphic Dataset for Object Segmentation in Indoor Cluttered Environment
Xiaoqian Huang, Kachole Sanket, Abdulla Ayyad +3
Taking advantage of an event-based camera, the issues of motion blur, low dynamic range and low time sampling of standard cameras can all be addressed. However, there is a lack of…