Complicated underwater environments bring new challenges to object detection, such as
unbalanced light conditions, low contrast, occlusion, and mimicry of aquatic organisms. Under …

Domain Adaptive Object Detection (DAOD) transfers an object detector from a labeled
source domain to a novel unlabeled target domain. Recent works bridge the domain gap by …

Generic object detection methods have achieved preferable results, but it is still challenging
to detect objects from complicated traffic scenes like extreme illumination and adverse …

There are two dominant approaches in modern robot grasp planning: dense prediction and
sampling-based methods. Dense prediction calculates viable grasps across the robot’s view …

Vision-language models (VLMs) show promising generalization and zero-shot capabilities,
offering a potential solution to the impracticality and cost of enabling robots to comprehend …

Optomechanical interaction plays a more and more important role in the fields of quantum
technology, information processing, and sensing, among others. Although brilliant …

We address the problem of (a) predicting the trajectory of an arm reaching motion, based on
a few seconds of the motion's onset, and (b) leveraging this predictor to facilitate shared-…

Brillouin scattering provides a unique approach in diverse applications ranging from sensing
to signal processing and beyond. The recent advancement in Brillouin scattering research …

Brillouin scattering provides a unique approach in diverse applications ranging from sensing
to signal processing and beyond. The recent advancement in Brillouin scattering research …

The autonomous driving community is highly interested in 3D occupancy prediction due to
its outstanding geometric perception and object recognition capabilities. However, previous …