6 citations · 13 across the 6 of their papers we have counts for
6 papers
SEAL: SEmantic-Augmented Imitation Learning via Language Model
Chengyang Gu, Yuxin Pan, Haotian Bai +2
Hierarchical Imitation Learning (HIL) is a promising approach for tackling long-horizon decision-making tasks. While it is a challenging task due to the lack of detailed supervisor…
High-Fidelity Mask-free Neural Surface Reconstruction for Virtual Reality
Haotian Bai, Yize Chen, Lin Wang
Object-centric surface reconstruction from multi-view images is crucial in creating editable digital assets for AR/VR. Due to the lack of geometric constraints, existing methods, e…
Hi-Map: Hierarchical Factorized Radiance Field for High-Fidelity Monocular Dense Mapping
Tongyan Hua, Haotian Bai, Zidong Cao +3
In this paper, we introduce Hi-Map, a novel monocular dense mapping approach based on Neural Radiance Field (NeRF). Hi-Map is exceptional in its capacity to achieve efficient and h…
Dynamic PlenOctree for Adaptive Sampling Refinement in Explicit NeRF
Haotian Bai, Yiqi Lin, Yize Chen +1
The explicit neural radiance field (NeRF) has gained considerable interest for its efficient training and fast inference capabilities, making it a promising direction such as virtu…
FMapping: Factorized Efficient Neural Field Mapping for Real-Time Dense RGB SLAM
Tongyan Hua, Haotian Bai, Zidong Cao +1
In this paper, we introduce FMapping, an efficient neural field mapping framework that facilitates the continuous estimation of a colorized point cloud map in real-time dense RGB S…
Patch-Mix Transformer for Unsupervised Domain Adaptation: A Game Perspective
Jinjing Zhu, Haotian Bai, Lin Wang
Endeavors have been recently made to leverage the vision transformer (ViT) for the challenging unsupervised domain adaptation (UDA) task. They typically adopt the cross-attention i…