34 citations · 73 across the 8 of their papers we have counts for
11 papers · 1 filter
Tracking and Reconstructing Hand Object Interactions from Point Cloud Sequences in the Wild
Jiayi Chen, Mi Yan, Jiazhao Zhang +6
In this work, we tackle the challenging task of jointly tracking hand object pose and reconstructing their shapes from depth point cloud sequences in the wild, given the initial po…
Multi-Robot Active Mapping via Neural Bipartite Graph Matching
Kai Ye, Siyan Dong, Qingnan Fan +5
We study the problem of multi-robot active mapping, which aims for complete scene map construction in minimum time steps. The key to this problem lies in the goal position estimati…
CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric Guidance
Tianchen Zhao, Niansong Zhang, Xuefei Ning +3
Transformers have gained much attention by outperforming convolutional neural networks in many 2D vision tasks. However, they are known to have generalization problems and rely on…
Leveraging SE(3) Equivariance for Self-Supervised Category-Level Object Pose Estimation
Xiaolong Li, Yijia Weng, Li Yi +4
Category-level object pose estimation aims to find 6D object poses of previously unseen object instances from known categories without access to object CAD models. To reduce the hu…
Contrastive Multimodal Fusion with TupleInfoNCE
Yunze Liu, Qingnan Fan, Shanghang Zhang +3
This paper proposes a method for representation learning of multimodal data using contrastive losses. A traditional approach is to contrast different modalities to learn the inform…
P4Contrast: Contrastive Learning with Pairs of Point-Pixel Pairs for RGB-D Scene Understanding
Yunze Liu, Li Yi, Shanghang Zhang +3
Self-supervised representation learning is a critical problem in computer vision, as it provides a way to pretrain feature extractors on large unlabeled datasets that can be used a…