no code implementations • ECCV 2020 • Quewei Li, Jie Guo, Yang Fei, Qinyu Tang, Wenxiu Sun, Jin Zeng, Yanwen Guo
We propose a deep convolutional neural network (CNN) to estimate surface normal from a single color image accompanied with a low-quality depth channel.
no code implementations • 5 Mar 2024 • Xiaoyu Zhan, Jianxin Yang, Yuanqi Li, Jie Guo, Yanwen Guo, Wenping Wang
SHERT applies semantic- and normal-based sampling between the detailed surface (e. g. mesh and SDF) and the corresponding SMPL-X model to obtain a partially sampled semantic mesh and then generates the complete semantic mesh by our specifically designed self-supervised completion and refinement networks.
no code implementations • 1 Feb 2024 • Letian Huang, Jiayang Bai, Jie Guo, Yuanqi Li, Yanwen Guo
This paper addresses the projection error function of 3D Gaussian Splatting, commencing with the residual error from the first-order Taylor expansion of the projection function.
no code implementations • 1 Feb 2024 • Jiayang Bai, Letian Huang, Jie Guo, Wen Gong, Yuanqi Li, Yanwen Guo
This technique typically takes perspective images as input and optimizes a set of 3D elliptical Gaussians by splatting them onto the image planes, resulting in 2D Gaussians.
no code implementations • 5 Dec 2023 • Zhen Liu, Hao Zhu, Qi Zhang, Jingde Fu, Weibing Deng, Zhan Ma, Yanwen Guo, Xun Cao
Implicit Neural Representation (INR), which utilizes a neural network to map coordinate inputs to corresponding attributes, is causing a revolution in the field of signal processing.
no code implementations • 24 Sep 2023 • Zhimin Fan, Pengpei Hong, Jie Guo, Changqing Zou, Yanwen Guo, Ling-Qi Yan
We verify that importance sampling the seed chain in the continuous space reaches the goal of importance sampling the discrete admissible specular chain.
1 code implementation • 31 Mar 2023 • Yongzhen Wang, Xuefeng Yan, Yanbiao Niu, Lina Gong, Yanwen Guo, Mingqiang Wei
In this study, we propose an effective image deraining paradigm for Mixture of rain REmoval, called DEMore-Net, which takes full account of the MOR effect.
no code implementations • 18 Mar 2023 • Jiayang Bai, Zhen He, Shan Yang, Jie Guo, Zhenyu Chen, Yan Zhang, Yanwen Guo
Recent methods mostly rely on convolutional neural networks (CNNs) to fill the missing contents in the warped panorama.
no code implementations • 10 Mar 2023 • Jiayang Bai, Letian Huang, Wen Gong, Jie Guo, Yanwen Guo
Recently, Neural Radiance Fields (NeRF) have emerged as a potent method for synthesizing novel views from a dense set of images.
no code implementations • ICCV 2023 • Quewei Li, Feichao Li, Jie Guo, Yanwen Guo
We propose UHDNeRF, a new framework for novel view synthesis on the challenging ultra-high-resolution (e. g., 4K) real-world scenes.
no code implementations • CVPR 2023 • Changfeng Ma, Yinuo Chen, Pengxiao Guo, Jie Guo, Chongjun Wang, Yanwen Guo
Extensive experiments and comparisons demonstrate our superiority and generalization and show that our method achieves state-of-the-art performance on unsupervised completion of real scene objects.
1 code implementation • 4 Aug 2022 • Zhilei Chen, Honghua Chen, Lina Gong, Xuefeng Yan, Jun Wang, Yanwen Guo, Jing Qin, Mingqiang Wei
High-confidence overlap prediction and accurate correspondences are critical for cutting-edge models to align paired point clouds in a partial-to-partial manner.
1 code implementation • 14 Jul 2022 • Chen Chen, Yisen Wang, Honghua Chen, Xuefeng Yan, Dayong Ren, Yanwen Guo, Haoran Xie, Fu Lee Wang, Mingqiang Wei
Semantic segmentation of point clouds, aiming to assign each point a semantic category, is critical to 3D scene understanding. Despite of significant advances in recent years, most of existing methods still suffer from either the object-level misclassification or the boundary-level ambiguity.
1 code implementation • 9 Jun 2022 • Mingqiang Wei, Zeyong Wei, Haoran Zhou, Fei Hu, Huajian Si, Zhilei Chen, Zhe Zhu, Jingbo Qiu, Xuefeng Yan, Yanwen Guo, Jun Wang, Jing Qin
In this paper, we propose Adaptive Graph Convolution (AGConv) for wide applications of point cloud analysis.
no code implementations • 18 Mar 2022 • Changfeng Ma, Yang Yang, Jie Guo, Chongjun Wang, Yanwen Guo
We propose in this paper an end-to-end network, named CS-Net, to complete the point clouds contaminated by noises or containing outliers.
no code implementations • 17 Mar 2022 • Yuanqi Li, Jianwei Guo, Xinran Yang, Shun Liu, Jie Guo, Xiaopeng Zhang, Yanwen Guo
In this paper, we propose a novel point cloud simplification network (PCS-Net) dedicated to high-quality surface mesh reconstruction while maintaining geometric fidelity.
no code implementations • 13 Feb 2022 • Jiayang Bai, Jie Guo, Chenchen Wan, Zhenyu Chen, Zhen He, Shan Yang, Piaopiao Yu, Yan Zhang, Yanwen Guo
At its core is a new lighting model (dubbed DSGLight) based on depth-augmented Spherical Gaussians (SG) and a Graph Convolutional Network (GCN) that infers the new lighting representation from a single LDR image of limited field-of-view.
1 code implementation • 6 Feb 2022 • Jiayang Bai, Shuichang Lai, Haoyu Qin, Jie Guo, Yanwen Guo
In this paper, we propose a learning-based method for predicting dense depth values of a scene from a monocular omnidirectional image.
Ranked #7 on Depth Estimation on Stanford2D3D Panoramic
no code implementations • 5 Jan 2022 • Yang Zhang, Yang Yang, Chenyun Xiong, Guodong Sun, Yanwen Guo
Encoder-decoder models have been widely used in RGBD semantic segmentation, and most of them are designed via a two-stream network.
Ranked #13 on Semantic Segmentation on SUN-RGBD (using extra training data)
no code implementations • 26 Jul 2021 • Fei Pan, Chunlei Xu, Jie Guo, Yanwen Guo
In order to obtain the similarity of a pair of videos, we predict the alignment scores between all pairs of temporal positions in the two videos with the temporal alignment prediction function.
no code implementations • 26 Jul 2021 • Fei Pan, Chunlei Xu, Jie Guo, Yanwen Guo
We introduce a transductive maximum margin classifier for few-shot learning (FS-TMMC).
no code implementations • CVPR 2021 • Fengmin Shi, Jie Guo, Haonan Zhang, Shan Yang, Xiying Wang, Yanwen Guo
We demonstrate that local geometry has a greater impact on the sound than the global geometry and offers more cues in material recognition.
1 code implementation • IEEE Transactions on Pattern Analysis and Machine Intelligence 2021 • ZhaoMin Chen, Xiu-Shen Wei, Peng Wang, Yanwen Guo
The task of multi-label image recognition is to predict a set of object labels that present in an image.
Multi-Label Classification Multi-label Image Recognition with Partial Labels
no code implementations • 24 Feb 2021 • Jie Guo, Bingyang Hu, Yanjun Chen, Yuanqi Li, Yanwen Guo, Ling-Qi Yan
We consider the scattering of light in participating media composed of sparsely and randomly distributed discrete particles.
Graphics Optics
no code implementations • 31 Jan 2021 • Yang Zhang, Moyun Liu, Yang Yang, Yanwen Guo, Huiming Zhang
Real-time fault detection for freight trains plays a vital role in guaranteeing the security and optimal operation of railway transportation under stringent resource requirements.
no code implementations • ICCV 2021 • Piaopiao Yu, Jie Guo, Fan Huang, Cheng Zhou, Hongwei Che, Xiao Ling, Yanwen Guo
However, naively compressing an outdoor panorama into a low-dimensional latent vector, as existing models have done, causes two major problems.
no code implementations • 10 Dec 2020 • Yuting Qiang, Yongxin Yang, Xueting Zhang, Yanwen Guo, Timothy M. Hospedales
We present a novel Tensor Composition Net (TCN) to predict visual relationships in images.
no code implementations • ECCV 2020 • Zhao-Min Chen, Xin Jin, Borui Zhao, Xiu-Shen Wei, Yanwen Guo
To address this issue, we present a simple but effective Hierarchical Context Embedding (HCE) framework, which can be applied as a plug-and-play component, to facilitate the classification ability of a series of region-based detectors by mining contextual cues.
no code implementations • 6 Jul 2020 • Aocheng Li, Jie Guo, Yanwen Guo
We specifically design a new module to make fully use of existing semantic segmentation networks to accommodate planar segmentation.
no code implementations • 30 Jun 2020 • Liqiang Lin, Qingqing Jia, Zheng Cheng, Yanyan Jiang, Yanwen Guo, Jing Ma
The development of efficient models for predicting specific properties through machine learning is of great importance for the innovation of chemistry and material science.
Ranked #7 on Formation Energy on QM9
2 code implementations • 24 Jun 2020 • Yang Zhang, Moyun Liu, Jingwu He, Fei Pan, Yanwen Guo
The proposed framework combines adjacency-graphs and kernel spectral clustering based graphs (KSC-graphs) according to a new definition named affinity nodes of multi-scale superpixels.
no code implementations • 17 May 2020 • Jingwu He, Chuan Wang, Yang Zhang, Jie Guo, Yanwen Guo
To the best of our knowledge, we are the first to enhance the facial attractiveness with GANs in both geometry and appearance aspects.
no code implementations • ECCV 2020 • Hongjie Zhang, Ang Li, Jie Guo, Yanwen Guo
We propose the OpenHybrid framework, which is composed of an encoder to encode the input data into a joint embedding space, a classifier to classify samples to inlier classes, and a flow-based density estimator to detect whether a sample belongs to the unknown category.
2 code implementations • CVPR 2019 • Zhao-Min Chen, Xiu-Shen Wei, Peng Wang, Yanwen Guo
The task of multi-label image recognition is to predict a set of object labels that present in an image.
Ranked #12 on Multi-Label Classification on PASCAL VOC 2007
no code implementations • 6 Mar 2017 • Jingwu He, Linbo Wang, Wenzhe Zhou, Hongjie Zhang, Xiufen Cui, Yanwen Guo
Unlike previous efforts devoted to photo quality assessment which mainly rely on 2D image features, we show in this paper combining 2D image features extracted from images with 3D geometric features computed on the 3D models can result in more reliable evaluation of viewpoint quality.
no code implementations • 21 Feb 2017 • Yu-ting Qiang, Yanwei Fu, Xiao Yu, Yanwen Guo, Zhi-Hua Zhou, Leonid Sigal
In order to bridge the gap between panel attributes and the composition within each panel, we also propose a recursive page splitting algorithm to generate the panel layout for a poster.
no code implementations • 5 Apr 2016 • Yu-ting Qiang, Yanwei Fu, Yanwen Guo, Zhi-Hua Zhou, Leonid Sigal
Then, given inferred layout and attributes, composition of graphical elements within each panel is synthesized.
no code implementations • 28 Sep 2015 • Ang Li, Feng Tang, Yanwen Guo, Hai Tao
The proposed DNBS representation is applied to object tracking through SSD-based template matching.
no code implementations • 25 May 2014 • Yanwei Fu, Lingbo Wang, Yanwen Guo
Traditional methods on video summarization are designed to generate summaries for single-view video records; and thus they cannot fully exploit the redundancy in multi-view video records.