58 citations · 93 across the 9 of their papers we have counts for
10 papers
PINT: A Unified Model with Shared Predictive Intent for Robot Manipulation
Xinyu Guo, Chao Jing, Li Yi +2
Generalist robot manipulation can benefit from pretrained vision-language models (VLMs) for semantic reasoning and video generation models (VGMs) for world modeling. However, exist…
Open-AoE: An Open Egocentric Manipulation Dataset and Toolchain for Embodied Learning
Zishuo Li, Bowen Yang, Changtao Miao +29
Egocentric videos of human manipulation provide scalable supervision for embodied intelligence, yet existing resources rarely combine low-cost continuous capture, manipulation-leve…
MGRPO: Mamba-based Multi-Agent Group Relative Policy Optimization for Biomimetic Underwater Robots Pursuit
Yukai Feng, Zhiheng Wu, Zhengxing Wu +2
Traditional policy learning methods in cooperative pursuit face fundamental challenges in biomimetic underwater robots, where long-horizon decision making, partial observability, a…
UC-OWOD: Unknown-Classified Open World Object Detection
Zhiheng Wu, Yue Lu, Xingyu Chen +3
Open World Object Detection (OWOD) is a challenging computer vision problem that requires detecting unknown objects and gradually learning the identified unknown classes. However,…
HybrUR: A Hybrid Physical-Neural Solution for Unsupervised Underwater Image Restoration
Shuaizheng Yan, Xingyu Chen, Zhengxing Wu +2
Robust vision restoration of underwater images remains a challenge. Owing to the lack of well-matched underwater and in-air images, unsupervised methods based on the cyclic generat…
Reveal of Domain Effect: How Visual Restoration Contributes to Object Detection in Aquatic Scenes
Xingyu Chen, Yue Lu, Zhengxing Wu +2
Underwater robotic perception usually requires visual restoration and object detection, both of which have been studied for many years. Meanwhile, data domain has a huge impact on…
Rethinking Temporal Object Detection from Robotic Perspectives
Xingyu Chen, Zhengxing Wu, Junzhi Yu +1
Video object detection (VID) has been vigorously studied for years but almost all literature adopts a static accuracy-based evaluation, i.e., average precision (AP). From a robotic…
Joint Anchor-Feature Refinement for Real-Time Accurate Object Detection in Images and Videos
Xingyu Chen, Junzhi Yu, Shihan Kong +2
Object detection has been vigorously investigated for years but fast accurate detection for real-world scenes remains a very challenging problem. Overcoming drawbacks of single-sta…
Temporally Identity-Aware SSD with Attentional LSTM
Xingyu Chen, Junzhi Yu, Zhengxing Wu
Temporal object detection has attracted significant attention, but most popular detection methods cannot leverage rich temporal information in videos. Very recently, many algorithm…
Towards Real-Time Advancement of Underwater Visual Quality with GAN
Xingyu Chen, Junzhi Yu, Shihan Kong +3
Low visual quality has prevented underwater robotic vision from a wide range of applications. Although several algorithms have been developed, real-time and adaptive methods are de…