7 accepted papers
Aerial manipulator systems (AMSs) have significantly progressed in air-ground collaborative tasks. Deploying high-stiffness and high-torque manipulators in AMSs can enhance operational robustness, enabling the execution of more demanding tasks such as high-altitude platforms operation, post-disaster
Generalizable Neural Radiance Fields (GeNeRF) enable high-quality scene reconstruction from a limited number of views and can generalize to unseen scenes. However, in real-world environments, transient distractors disrupt structural consistency across views, leading to deviated supervision signals a
Odometry is a crucial component for successfully implementing autonomous navigation, relying on sensors such as cameras, LiDARs and IMUs. However, these sensors may encounter challenges in extreme weather conditions, such as snowfall and fog. The emergence of FMCW radar technology offers the potenti
Large vision-language models (VLLMs) exhibit promising capabilities for processing multi-modal tasks across various application scenarios. However, their emergence also raises significant data security concerns, given the potential inclusion of sensitive information, such as private photos and medic…
Novel view synthesis of dynamic scenes has been an intriguing yet challenging problem. Despite recent advancements simultaneously achieving high-resolution photorealistic results real-time rendering and compact storage remains a formidable task. To address these challenges we propose Spacetime Gauss…
Qin Opera art is one of China’s intangible cultural heritage, and its influence is gradually declining. The cartoonization of Qin Opera is one of the feasible methods. However, current cartoonization methods suffer from the inability to classify and accurately cartoonize Qinqiang portraits by gender…