Zobrazeno 1 - 10
of 145
pro vyhledávání: '"Cai, Yunfeng"'
Autor:
Yu, Zhongrui, Wang, Haoran, Yang, Jinze, Wang, Hanzhang, Xie, Zeke, Cai, Yunfeng, Cao, Jiale, Ji, Zhong, Sun, Mingming
Novel View Synthesis (NVS) for street scenes play a critical role in the autonomous driving simulation. The current mainstream technique to achieve it is neural rendering, such as Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS). Althou
Externí odkaz:
http://arxiv.org/abs/2403.20079
Autor:
Yang, Xindi, Xie, Zeke, Zhou, Xiong, Liu, Boyu, Liu, Buhua, Liu, Yi, Wang, Haoran, Cai, Yunfeng, Sun, Mingming
Neural field methods have seen great progress in various long-standing tasks in computer vision and computer graphics, including novel view synthesis and geometry reconstruction. As existing neural field methods try to predict some coordinate-based c
Externí odkaz:
http://arxiv.org/abs/2403.01058
Knowledge graph embedding (KGE) models achieved state-of-the-art results on many knowledge graph tasks including link prediction and information retrieval. Despite the superior performance of KGE models in practice, we discover a deficiency in the ex
Externí odkaz:
http://arxiv.org/abs/2402.03583
Discovering the causal relationship via recovering the directed acyclic graph (DAG) structure from the observed data is a well-known challenging combinatorial problem. When there are latent variables, the problem becomes even more difficult. In this
Externí odkaz:
http://arxiv.org/abs/2311.00674
Autor:
Xie, Zeke, Yang, Xindi, Yang, Yujie, Sun, Qi, Jiang, Yixiang, Wang, Haoran, Cai, Yunfeng, Sun, Mingming
Recently, Neural Radiance Field (NeRF) has shown great success in rendering novel-view images of a given scene by learning an implicit representation with only posed RGB images. NeRF and relevant neural field methods (e.g., neural surface representat
Externí odkaz:
http://arxiv.org/abs/2308.07032
Gradient-type iterative methods for solving Hermitian eigenvalue problems can be accelerated by using preconditioning and deflation techniques. A preconditioned steepest descent iteration with implicit deflation (PSD-id) is one of such methods. The c
Externí odkaz:
http://arxiv.org/abs/2209.03407
Translation distance based knowledge graph embedding (KGE) methods, such as TransE and RotatE, model the relation in knowledge graphs as translation or rotation in the vector space. Both translation and rotation are injective; that is, the translatio
Externí odkaz:
http://arxiv.org/abs/2204.10245
It is well-known that the Hessian of deep loss landscape matters to optimization, generalization, and even robustness of deep learning. Recent works empirically discovered that the Hessian spectrum in deep learning has a two-component structure that
Externí odkaz:
http://arxiv.org/abs/2201.13011
Recently, MLP-based vision backbones emerge. MLP-based vision architectures with less inductive bias achieve competitive performance in image recognition compared with CNNs and vision Transformers. Among them, spatial-shift MLP (S$^2$-MLP), adopting
Externí odkaz:
http://arxiv.org/abs/2108.01072
In the past decade, we have witnessed rapid progress in the machine vision backbone. By introducing the inductive bias from the image processing, convolution neural network (CNN) has achieved excellent performance in numerous computer vision tasks an
Externí odkaz:
http://arxiv.org/abs/2106.14882