Human-robot collaboration has benefited users with higher efficiency tow...
Generating a smooth and shorter spiral complete coverage path in a
multi...
Event cameras are ideally suited to capture High Dynamic Range (HDR) vis...
Event-based cameras have become increasingly popular for tracking fast-m...
Equipping embodied agents with commonsense is important for robots to
su...
In this paper, we propose an accurate data-free post-training quantizati...
In this paper, we propose a new detection framework for 3D small object
...
In this paper, we propose an ultrafast automated model compression frame...
In this paper, we propose binary sparse convolutional networks called BS...
Accurately estimating the shape of objects in dense clutters makes impor...
NFTs (Non-Fungible Tokens) have experienced an explosive growth and thei...
Object packing by autonomous robots is an im-portant challenge in wareho...
Clouds play a critical role in the Earth's energy budget and their poten...
Object classification using LiDAR 3D point cloud data is critical for mo...
After a survey for person-tracking system-induced privacy concerns, we
p...
Explaining deep convolutional neural networks has been recently drawing
...
Recognizing objects in dense clutter accurately plays an important role ...
Event cameras are bio-inspired dynamic vision sensors that respond to ch...
Grasping in dense clutter is a fundamental skill for autonomous robots.
...
We examine using data from multiple sensing modes, i.e., accelerometry a...
In this paper, we propose a Shapley value based method to evaluate opera...
Event cameras are bio-inspired sensors that capture per-pixel asynchrono...
Stereo camera systems play an important role in robotics applications to...
The traditional master-slave teleoperation relies on human expertise wit...
Robotic dual-arm twisting is a common but very challenging task in both
...
In this paper, we propose an instance similarity learning (ISL) method f...
In this paper, we propose a generalizable mixed-precision quantization (...
Traditional telesurgery relies on the surgeon's full control of the robo...
While state-of-the-art development in CNN topology, such as VGGNet and
R...
Image captioning model is a cross-modality knowledge discovery task, whi...
Event cameras output asynchronous events to represent intensity changes ...
We present an Asynchronous Kalman Filter (AKF) to reconstruct High Dynam...
With the rapid advancement of image captioning and visual question answe...
In this paper, we propose a binarized neural network learning method cal...
Meta-learning for few-shot learning allows a machine to leverage previou...
With the increasing number of online stores, there is a pressing need fo...
Previous works utilized "smaller-norm-less-important" criterion to prune...
Rich high-quality annotated data is critical for semantic segmentation
l...