53 citations · 61 across the 5 of their papers we have counts for
5 papers
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…
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…
Real-Time Grasping Strategies Using Event Camera
Xiaoqian Huang, Mohamad Halwani, Rajkumar Muthusamy +5
Robotic vision plays a key role for perceiving the environment in grasping applications. However, the conventional framed-based robotic vision, suffering from motion blur and low s…
Neuromorphic Event-Based Slip Detection and suppression in Robotic Grasping and Manipulation
Rajkumar Muthusamy, Xiaoqian Huang, Yahya Zweiri +2
Slip detection is essential for robots to make robust grasping and fine manipulation. In this paper, a novel dynamic vision-based finger system for slip detection and suppression i…