22 citations · 24 across the 5 of their papers we have counts for
5 papers
Glissando-Net: Deep sinGLe vIew category level poSe eStimation ANd 3D recOnstruction
Bo Sun, Hao Kang, Li Guan +3
We present a deep learning model, dubbed Glissando-Net, to simultaneously estimate the pose and reconstruct the 3D shape of objects at the category level from a single RGB image. P…
Deployment Prior Injection for Run-time Calibratable Object Detection
Mo Zhou, Yiding Yang, Haoxiang Li +2
With a strong alignment between the training and test distributions, object relation as a context prior facilitates object detection. Yet, it turns into a harmful but inevitable tr…
Evidential Active Recognition: Intelligent and Prudent Open-World Embodied Perception
Lei Fan, Mingfu Liang, Yunxuan Li +2
Active recognition enables robots to intelligently explore novel observations, thereby acquiring more information while circumventing undesired viewing conditions. Recent approache…
UGG: Unified Generative Grasping
Jiaxin Lu, Hao Kang, Haoxiang Li +4
Dexterous grasping aims to produce diverse grasping postures with a high grasping success rate. Regression-based methods that directly predict grasping parameters given the object…
Flexible Visual Recognition by Evidential Modeling of Confusion and Ignorance
Lei Fan, Bo Liu, Haoxiang Li +2
In real-world scenarios, typical visual recognition systems could fail under two major causes, i.e., the misclassification between known classes and the excusable misbehavior on un…