19 citations · 32 across the 36 of their papers we have counts for
13 papers · 1 filter
Human Motion Synthesis in 3D Scenes via Unified Scene Semantic Occupancy
Gong Jingyu, Tong Kunkun, Chen Zhuoran +5
Human motion synthesis in 3D scenes relies heavily on scene comprehension, while current methods focus mainly on scene structure but ignore the semantic understanding. In this pape…
Camera-Aware Cross-View Alignment for Referring 3D Gaussian Splatting Segmentation
Yuwen Tao, Kanglei Zhou, Xin Tan +1
Referring 3D Gaussian Splatting Segmentation (R3DGS) aims to ground free-form language queries in 3D Gaussian fields. However, existing methods rely on single-view pseudo supervisi…
CompassNav: Steering From Path Imitation To Decision Understanding In Navigation
LinFeng Li, Jian Zhao, Yuan Xie +2
The dominant paradigm for training Large Vision-Language Models (LVLMs) in navigation relies on imitating expert trajectories. This approach reduces the complex navigation task to…
PFDepth: Heterogeneous Pinhole-Fisheye Joint Depth Estimation via Distortion-aware Gaussian-Splatted Volumetric Fusion
Zhiwei Zhang, Ruikai Xu, Weijian Zhang +5
In this paper, we present the first pinhole-fisheye framework for heterogeneous multi-view depth estimation, PFDepth. Our key insight is to exploit the complementary characteristic…
T2S: Tokenized Skill Scaling for Lifelong Imitation Learning
Hongquan Zhang, Jingyu Gong, Zhizhong Zhang +3
The main challenge in lifelong imitation learning lies in the balance between mitigating catastrophic forgetting of previous skills while maintaining sufficient capacity for acquir…
NaviMaster: Learning a Unified Policy for GUI and Embodied Navigation Tasks
Zhihao Luo, Wentao Yan, Jingyu Gong +5
Recent advances in Graphical User Interface (GUI) and embodied navigation have driven progress, yet these domains have largely evolved in isolation, with disparate datasets and tra…
UniForward: Unified 3D Scene and Semantic Field Reconstruction via Feed-Forward Gaussian Splatting from Only Sparse-View Images
Qijian Tian, Xin Tan, Jingyu Gong +2
We propose a feed-forward Gaussian Splatting model that unifies 3D scene and semantic field reconstruction. Combining 3D scenes with semantic fields facilitates the perception and…
YouTube-Occ: Learning Indoor 3D Semantic Occupancy Prediction from YouTube Videos
Haoming Chen, Lichen Yuan, TianFang Sun +5
3D semantic occupancy prediction is crucial for fine-grained scene understanding, yet its advancement in privacy-sensitive indoor environments is fundamentally hindered by the scar…
SHTOcc: Effective 3D Occupancy Prediction with Sparse Head and Tail Voxels
Qiucheng Yu, Yuan Xie, Xin Tan
3D occupancy prediction has attracted much attention in the field of autonomous driving due to its powerful geometric perception and object recognition capabilities. However, exist…
DORAEMON: Decentralized Ontology-aware Reliable Agent with Enhanced Memory Oriented Navigation
Tianjun Gu, Linfeng Li, Xuhong Wang +6
Adaptive navigation in unfamiliar environments is crucial for household service robots but remains challenging due to the need for both low-level path planning and high-level scene…
FMLGS: Fast Multilevel Language Embedded Gaussians for Part-level Interactive Agents
Xin Tan, Yuzhou Ji, He Zhu +1
The semantically interactive radiance field has long been a promising backbone for 3D real-world applications, such as embodied AI to achieve scene understanding and manipulation.…
IDMR: Towards Instance-Driven Precise Visual Correspondence in Multimodal Retrieval
Bangwei Liu, Yicheng Bao, Shaohui Lin +5
Multimodal retrieval systems are becoming increasingly vital for cutting-edge AI technologies, such as embodied AI and AI-driven digital content industries. However, current multim…
One-for-More: Continual Diffusion Model for Anomaly Detection
Xiaofan Li, Xin Tan, Zhuo Chen +8
With the rise of generative models, there is a growing interest in unifying all tasks within a generative framework. Anomaly detection methods also fall into this scope and utilize…