2 citations · 6 across the 13 of their papers we have counts for
13 papers
MaxMI: A Maximal Mutual Information Criterion for Manipulation Concept Discovery
Pei Zhou, Yanchao Yang
We aim to discover manipulation concepts embedded in the unannotated demonstrations, which are recognized as key physical states. The discovered concepts can facilitate training ma…
DISCO: Embodied Navigation and Interaction via Differentiable Scene Semantics and Dual-level Control
Xinyu Xu, Shengcheng Luo, Yanchao Yang +2
Building a general-purpose intelligent home-assistant agent skilled in diverse tasks by human commands is a long-term blueprint of embodied AI research, which poses requirements on…
SG-NeRF: Neural Surface Reconstruction with Scene Graph Optimization
Yiyang Chen, Siyan Dong, Xulong Wang +3
3D surface reconstruction from images is essential for numerous applications. Recently, Neural Radiance Fields (NeRFs) have emerged as a promising framework for 3D modeling. Howeve…
InfoNorm: Mutual Information Shaping of Normals for Sparse-View Reconstruction
Xulong Wang, Siyan Dong, Youyi Zheng +1
3D surface reconstruction from multi-view images is essential for scene understanding and interaction. However, complex indoor scenes pose challenges such as ambiguity due to limit…
InfoCon: Concept Discovery with Generative and Discriminative Informativeness
Ruizhe Liu, Qian Luo, Yanchao Yang
We focus on the self-supervised discovery of manipulation concepts that can be adapted and reassembled to address various robotic tasks. We propose that the decision to conceptuali…
BID: Boundary-Interior Decoding for Unsupervised Temporal Action Localization Pre-Trainin
Qihang Fang, Chengcheng Tang, Shugao Ma +1
Skeleton-based motion representations are robust for action localization and understanding for their invariance to perspective, lighting, and occlusion, compared with images. Yet,…