5 accepted papers
Accident anticipation is essential for proactive and safe autonomous driving, where even a brief advance warning can enable critical evasive actions. However, two key challenges hinder real-world deployment: (1) noisy or degraded sensory inputs from weather, motion blur, or hardware limitations, and
"Handwritten Mathematical Expression Recognition (HMER) has wide applications in human-machine interaction scenarios, such as digitized education and automated offices. Recently, sequence-based models with encoder-decoder architectures have been commonly adopted to address this task by directly pred…
People with two-arm disabilities need to grasp various densely placed objects in their daily life. However, current arm-free human-robot interfaces (HRIs), such as language-based and gaze-based HRI, are difficult to effectively control the robotic arm to complete the above task. To achieve this task
On-Site assembly is an important and complex task in many industrial fields, and it usually needs the cooperation of two skilled people. SuperLimb enhances the user's capabilities by increasing the number of limbs and provides the possibility for one person to perform on-site assembly tasks. However
We consider a generalization of the classic linear regression problem to the case when the loss is an Orlicz norm. An Orlicz norm is parameterized by a non-negative convex function G: R_+ - > R_+ with G(0) = 0: the Orlicz norm of a n-dimensional vector x is defined as |x|_G = inf{ alpha > 0 | sum_{i…