103 citations · 261 across the 14 of their papers we have counts for
24 papers
Towards Unifying Reference Expression Generation and Comprehension
Duo Zheng, Tao Kong, Ya Jing +2
Reference Expression Generation (REG) and Comprehension (REC) are two highly correlated tasks. Modeling REG and REC simultaneously for utilizing the relation between them is a prom…
Learning Design and Construction with Varying-Sized Materials via Prioritized Memory Resets
Yunfei Li, Tao Kong, Lei Li +1
Can a robot autonomously learn to design and construct a bridge from varying-sized blocks without a blueprint? It is a challenging task with long horizon and sparse reward -- the r…
Simultaneous Semantic and Collision Learning for 6-DoF Grasp Pose Estimation
Yiming Li, Tao Kong, Ruihang Chu +3
Grasping in cluttered scenes has always been a great challenge for robots, due to the requirement of the ability to well understand the scene and object information. Previous works…
ICM-3D: Instantiated Category Modeling for 3D Instance Segmentation
Ruihang Chu, Yukang Chen, Tao Kong +2
Separating 3D point clouds into individual instances is an important task for 3D vision. It is challenging due to the unknown and varying number of instances in a scene. Existing d…
Learning to Design and Construct Bridge without Blueprint
Yunfei Li, Tao Kong, Lei Li +2
Autonomous assembly has been a desired functionality of many intelligent robot systems. We study a new challenging assembly task, designing and constructing a bridge without a blue…
SOLO: A Simple Framework for Instance Segmentation
Xinlong Wang, Rufeng Zhang, Chunhua Shen +2
Compared to many other dense prediction tasks, e.g., semantic segmentation, it is the arbitrary number of instances that has made instance segmentation much more challenging. In or…