Zobrazeno 1 - 10
of 1 139
pro vyhledávání: '"Kong Xin"'
Dense 3D representations of the environment have been a long-term goal in the robotics field. While previous Neural Radiance Fields (NeRF) representation have been prevalent for its implicit, coordinate-based model, the recent emergence of 3D Gaussia
Externí odkaz:
http://arxiv.org/abs/2410.12262
In this paper, we introduce a novel nonstationary price staleness factor model allowing for market friction pervasive across assets and possible input covariates. With large panel high-frequency data, we give the maximum likelihood estimators of the
Externí odkaz:
http://arxiv.org/abs/2410.07607
We introduce EscherNet, a multi-view conditioned diffusion model for view synthesis. EscherNet learns implicit and generative 3D representations coupled with a specialised camera positional encoding, allowing precise and continuous relative control o
Externí odkaz:
http://arxiv.org/abs/2402.03908
Matrix factor model is drawing growing attention for simultaneous two-way dimension reduction of well-structured matrix-valued observations. This paper focuses on robust statistical inference for matrix factor model in the ``diverging dimension" regi
Externí odkaz:
http://arxiv.org/abs/2306.03317
We present vMAP, an object-level dense SLAM system using neural field representations. Each object is represented by a small MLP, enabling efficient, watertight object modelling without the need for 3D priors. As an RGB-D camera browses a scene with
Externí odkaz:
http://arxiv.org/abs/2302.01838
This paper introduces a matrix quantile factor model for matrix-valued data with low-rank structure. We estimate the row and column factor spaces via minimizing the empirical check loss function with orthogonal rotation constraints. We show that the
Externí odkaz:
http://arxiv.org/abs/2208.08693
Autor:
Pan, Jing, Yan, Yongde, Deng, Yuan, Wang, Xuepeng, Ding, Li, Kong, Xin, Xue, Yun, Ma, Fuqiu, Zhu, Kai, Liu, Wei
Publikováno v:
In Colloids and Surfaces A: Physicochemical and Engineering Aspects 20 January 2025 705 Part 2
Publikováno v:
In Carbohydrate Polymers 15 January 2025 348 Part A
Autor:
Zhai, Guangyao, Zheng, Yu, Xu, Ziwei, Kong, Xin, Liu, Yong, Busam, Benjamin, Ren, Yi, Navab, Nassir, Zhang, Zhengyou
In this paper, we introduce DA$^2$, the first large-scale dual-arm dexterity-aware dataset for the generation of optimal bimanual grasping pairs for arbitrary large objects. The dataset contains about 9M pairs of parallel-jaw grasps, generated from m
Externí odkaz:
http://arxiv.org/abs/2208.00408
Publikováno v:
In Journal of Environmental Chemical Engineering December 2024 12(6)