25 citations · 48 across the 6 of their papers we have counts for
6 papers
OPTIAGENT: A Physics-Driven Agentic Framework for Automated Optical Design
Yuyu Geng, Lei Sun, Yao Gao +6
Optical design is the process of configuring optical elements to precisely manipulate light for high-fidelity imaging. It is inherently a highly non-convex optimization problem tha…
CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
Jiaming Zhang, Huayao Liu, Kailun Yang +3
Scene understanding based on image segmentation is a crucial component of autonomous vehicles. Pixel-wise semantic segmentation of RGB images can be advanced by exploiting compleme…
Capturing Omni-Range Context for Omnidirectional Segmentation
Kailun Yang, Jiaming Zhang, Simon Reiß +2
Convolutional Networks (ConvNets) excel at semantic segmentation and have become a vital component for perception in autonomous driving. Enabling an all-encompassing view of street…
Real-time Fusion Network for RGB-D Semantic Segmentation Incorporating Unexpected Obstacle Detection for Road-driving Images
Lei Sun, Kailun Yang, Xinxin Hu +2
Semantic segmentation has made striking progress due to the success of deep convolutional neural networks. Considering the demands of autonomous driving, real-time semantic segment…
DS-PASS: Detail-Sensitive Panoramic Annular Semantic Segmentation through SwaftNet for Surrounding Sensing
Kailun Yang, Xinxin Hu, Hao Chen +3
Semantically interpreting the traffic scene is crucial for autonomous transportation and robotics systems. However, state-of-the-art semantic segmentation pipelines are dominantly…
ACNet: Attention Based Network to Exploit Complementary Features for RGBD Semantic Segmentation
Xinxin Hu, Kailun Yang, Lei Fei +1
Compared to RGB semantic segmentation, RGBD semantic segmentation can achieve better performance by taking depth information into consideration. However, it is still problematic fo…