940 citations · 2.5k across the 35 of their papers we have counts for
6 papers · 1 filter
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…
Generative Category-Level Shape and Pose Estimation with Semantic Primitives
Guanglin Li, Yifeng Li, Zhichao Ye +4
Empowering autonomous agents with 3D understanding for daily objects is a grand challenge in robotics applications. When exploring in an unknown environment, existing methods for o…
Exploring Target Representations for Masked Autoencoders
Xingbin Liu, Jinghao Zhou, Tao Kong +2
Masked autoencoders have become popular training paradigms for self-supervised visual representation learning. These models randomly mask a portion of the input and reconstruct the…
3D Part Assembly Generation with Instance Encoded Transformer
Rufeng Zhang, Tao Kong, Weihao Wang +2
It is desirable to enable robots capable of automatic assembly. Structural understanding of object parts plays a crucial role in this task yet remains relatively unexplored. In thi…
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…
Navigating to Objects in Unseen Environments by Distance Prediction
Minzhao Zhu, Binglei Zhao, Tao Kong
Object Goal Navigation (ObjectNav) task is to navigate an agent to an object category in unseen environments without a pre-built map. In this paper, we solve this task by predictin…