113 citations · 125 across the 6 of their papers we have counts for
6 papers
SimWeaver: Zero-Shot RGB Sim-to-Real for Deformable Manipulation
Wenkang Hu, Haoran Wang, Yitong Li +10
RGB sim-to-real for deformable manipulation has remained largely unsolved without real-world fine-tuning. We present SimWeaver, which trains zero-shot RGB VLA policies on 200 simul…
BCTR: Bidirectional Conditioning Transformer for Scene Graph Generation
Peng Hao, Weilong Wang, Xiaobing Wang +5
Scene Graph Generation (SGG) remains a challenging task due to its compositional property. Previous approaches improve prediction efficiency through end-to-end learning. However, t…
Shallow Feature Matters for Weakly Supervised Object Localization
Jun Wei, Qin Wang, Zhen Li +3
Weakly supervised object localization (WSOL) aims to localize objects by only utilizing image-level labels. Class activation maps (CAMs) are the commonly used features to achieve W…
Label Decoupling Framework for Salient Object Detection
Jun Wei, Shuhui Wang, Zhe Wu +3
To get more accurate saliency maps, recent methods mainly focus on aggregating multi-level features from fully convolutional network (FCN) and introducing edge information as auxil…
Grasp State Assessment of Deformable Objects Using Visual-Tactile Fusion Perception
Shaowei Cui, Rui Wang, Junhang Wei +2
Humans can quickly determine the force required to grasp a deformable object to prevent its sliding or excessive deformation through vision and touch, which is still a challenging…
F3Net: Fusion, Feedback and Focus for Salient Object Detection
Jun Wei, Shuhui Wang, Qingming Huang
Most of existing salient object detection models have achieved great progress by aggregating multi-level features extracted from convolutional neural networks. However, because of…