Search Results for author: Guofeng Zhang

Found 27 papers, 9 papers with code

PVO: Panoptic Visual Odometry

no code implementations4 Jul 2022 Weicai Ye, Xinyue Lan, Shuo Chen, Yuhang Ming, Xingyuan Yu, Hujun Bao, Zhaopeng Cui, Guofeng Zhang

PVO models visual odometry (VO) and video panoptic segmentation (VPS) in a unified view, enabling the two tasks to facilitate each other.

Optical Flow Estimation Panoptic Segmentation +2

VIP-SLAM: An Efficient Tightly-Coupled RGB-D Visual Inertial Planar SLAM

no code implementations4 Jul 2022 Danpeng Chen, Shuai Wang, Weijian Xie, Shangjin Zhai, Nan Wang, Hujun Bao, Guofeng Zhang

Even if the plane parameters are involved in the optimization, we effectively simplify the back-end map by using planar structures.

Neural 3D Scene Reconstruction with the Manhattan-world Assumption

1 code implementation CVPR 2022 Haoyu Guo, Sida Peng, Haotong Lin, Qianqian Wang, Guofeng Zhang, Hujun Bao, Xiaowei Zhou

Based on the Manhattan-world assumption, planar constraints are employed to regularize the geometry in floor and wall regions predicted by a 2D semantic segmentation network.

2D Semantic Segmentation 3D Reconstruction +2

Neural Rendering in a Room: Amodal 3D Understanding and Free-Viewpoint Rendering for the Closed Scene Composed of Pre-Captured Objects

no code implementations5 May 2022 Bangbang Yang, yinda zhang, Yijin Li, Zhaopeng Cui, Sean Fanello, Hujun Bao, Guofeng Zhang

We, as human beings, can understand and picture a familiar scene from arbitrary viewpoints given a single image, whereas this is still a grand challenge for computers.

Data Augmentation Neural Rendering +1

Hybrid Tracker with Pixel and Instance for Video Panoptic Segmentation

no code implementations2 Mar 2022 Weicai Ye, Xinyue Lan, Ge Su, Hujun Bao, Zhaopeng Cui, Guofeng Zhang

Existing methods are mainly based on the trained instance embedding to maintain consistent panoptic segmentation.

Optical Flow Estimation Panoptic Segmentation

Robust Self-Supervised LiDAR Odometry via Representative Structure Discovery and 3D Inherent Error Modeling

1 code implementation27 Feb 2022 Yan Xu, Junyi Lin, Jianping Shi, Guofeng Zhang, Xiaogang Wang, Hongsheng Li

The correct ego-motion estimation basically relies on the understanding of correspondences between adjacent LiDAR scans.

Motion Estimation

CGS-Net: Aggregating Colour, Geometry and Semantic Features for Large-Scale Indoor Place Recognition

no code implementations4 Feb 2022 Yuhang Ming, Xingrui Yang, Guofeng Zhang, Andrew Calway

We describe an approach to large-scale indoor place recognition that aggregates low-level colour and geometric features with high-level semantic features.

Semantic Segmentation

Efficient Quantum Feature Extraction for CNN-based Learning

no code implementations4 Jan 2022 Tong Dou, Guofeng Zhang, Wei Cui

Recent work has begun to explore the potential of parametrized quantum circuits (PQCs) as general function approximators.

SceneSqueezer: Learning To Compress Scene for Camera Relocalization

no code implementations CVPR 2022 Luwei Yang, Rakesh Shrestha, Wenbo Li, Shuaicheng Liu, Guofeng Zhang, Zhaopeng Cui, Ping Tan

Standard visual localization methods build a priori 3D model of a scene which is used to establish correspondences against the 2D keypoints in a query image.

Camera Relocalization Image Registration +3

Deep-CNN based Robotic Multi-Class Under-Canopy Weed Control in Precision Farming

no code implementations28 Dec 2021 Yayun Du, Guofeng Zhang, Darren Tsang, M. Khalid Jawed

Smart weeding systems to perform plant-specific operations can contribute to the sustainability of agriculture and the environment.

LatentHuman: Shape-and-Pose Disentangled Latent Representation for Human Bodies

no code implementations30 Nov 2021 Sandro Lombardi, Bangbang Yang, Tianxing Fan, Hujun Bao, Guofeng Zhang, Marc Pollefeys, Zhaopeng Cui

In this work, we propose a novel neural implicit representation for the human body, which is fully differentiable and optimizable with disentangled shape and pose latent spaces.

3D Reconstruction Computer Vision +2

Learning Object-Compositional Neural Radiance Field for Editable Scene Rendering

no code implementations ICCV 2021 Bangbang Yang, yinda zhang, Yinghao Xu, Yijin Li, Han Zhou, Hujun Bao, Guofeng Zhang, Zhaopeng Cui

In this paper, we present a novel neural scene rendering system, which learns an object-compositional neural radiance field and produces realistic rendering with editing capability for a clustered and real-world scene.

Neural Rendering Novel View Synthesis

VS-Net: Voting with Segmentation for Visual Localization

1 code implementation CVPR 2021 Zhaoyang Huang, Han Zhou, Yijin Li, Bangbang Yang, Yan Xu, Xiaowei Zhou, Hujun Bao, Guofeng Zhang, Hongsheng Li

To address this problem, we propose a novel visual localization framework that establishes 2D-to-3D correspondences between the query image and the 3D map with a series of learnable scene-specific landmarks.

Computer Vision Semantic Segmentation +1

LIFE: Lighting Invariant Flow Estimation

no code implementations7 Apr 2021 Zhaoyang Huang, Xiaokun Pan, Runsen Xu, Yan Xu, Ka Chun Cheung, Guofeng Zhang, Hongsheng Li

However, local image contents are inevitably ambiguous and error-prone during the cross-image feature matching process, which hinders downstream tasks.

Detecting quantum entanglement with unsupervised learning

1 code implementation8 Mar 2021 YiWei Chen, Yu Pan, Guofeng Zhang, Shuming Cheng

Quantum properties, such as entanglement and coherence, are indispensable resources in various quantum information processing tasks.

You Don't Only Look Once: Constructing Spatial-Temporal Memory for Integrated 3D Object Detection and Tracking

no code implementations ICCV 2021 Jiaming Sun, Yiming Xie, Siyu Zhang, Linghao Chen, Guofeng Zhang, Hujun Bao, Xiaowei Zhou

In this work, we propose a novel system for integrated 3D object detection and tracking, which uses a dynamic object occupancy map and previous object states as spatial-temporal memory to assist object detection in future frames.

3D Object Detection object-detection +1

Graph-Based Asynchronous Event Processing for Rapid Object Recognition

no code implementations ICCV 2021 Yijin Li, Han Zhou, Bangbang Yang, Ye Zhang, Zhaopeng Cui, Hujun Bao, Guofeng Zhang

Different from traditional video cameras, event cameras capture asynchronous events stream in which each event encodes pixel location, trigger time, and the polarity of the brightness changes.

graph construction Object Recognition

Super interference fringes of two-photon photoluminescence in individual Au nanoparticles: the critical role of the intermediate state

no code implementations24 Dec 2020 Yao Li, Yonggang Yang, Chengbing Qin, Yunrui Song, Shuangping Han, Guofeng Zhang, Ruiyun Chen, Jianyong Hu, Liantuan Xiao, Suotang Jia

Here, we presented two-photon photoluminescence (TPPL) measurements on individual Au nanobipyramids (AuNP) to reveal their ultrafast dynamics by two-pulse excitation on a global time scale ranging from sub-femtosecond to tens of picoseconds.

Optics Mesoscale and Nanoscale Physics Quantum Physics

SelfVoxeLO: Self-supervised LiDAR Odometry with Voxel-based Deep Neural Networks

no code implementations19 Oct 2020 Yan Xu, Zhaoyang Huang, Kwan-Yee Lin, Xinge Zhu, Jianping Shi, Hujun Bao, Guofeng Zhang, Hongsheng Li

To suit our network to self-supervised learning, we design several novel loss functions that utilize the inherent properties of LiDAR point clouds.

Self-Supervised Learning

Mobile3DRecon: Real-time Monocular 3D Reconstruction on a Mobile Phone

no code implementations ISMAR 2020 Xingbin Yang, Liyang Zhou, Hanqing Jiang, Zhongliang Tang, Yuanbo Wang, Hujun Bao, Guofeng Zhang

The proposed mesh generation module incrementally fuses each estimated keyframe depth map to an online dense surface mesh, which is useful for achieving realistic AR effects such as occlusions and collisions.

3D Reconstruction Monocular Depth Estimation +1

Depth Completion from Sparse LiDAR Data with Depth-Normal Constraints

no code implementations ICCV 2019 Yan Xu, Xinge Zhu, Jianping Shi, Guofeng Zhang, Hujun Bao, Hongsheng Li

Most of existing methods directly train a network to learn a mapping from sparse depth inputs to dense depth maps, which has difficulties in utilizing the 3D geometric constraints and handling the practical sensor noises.

Autonomous Driving Depth Completion

Quantum tensor singular value decomposition with applications to recommendation systems

no code implementations3 Oct 2019 Xiaoqiang Wang, Lejia Gu, Joseph Heung-wing Joseph Lee, Guofeng Zhang

In this paper, we present a quantum singular value decomposition algorithm for third-order tensors inspired by the classical algorithm of tensor singular value decomposition (t-svd) and then extend it to order-$p$ tensors.

Recommendation Systems

ICE-BA: Incremental, Consistent and Efficient Bundle Adjustment for Visual-Inertial SLAM

1 code implementation CVPR 2018 Hao-Min Liu, Mingyu Chen, Guofeng Zhang, Hujun Bao, Yingze Bao

However, jointly using visual and inertial measurements to optimize SLAM objective functions is a problem of high computational complexity.

Pose Estimation

Robust Keyframe-based Dense SLAM with an RGB-D Camera

8 code implementations14 Nov 2017 Hao-Min Liu, Chen Li, Guojun Chen, Guofeng Zhang, Michael Kaess, Hujun Bao

In this paper, we present RKD-SLAM, a robust keyframe-based dense SLAM approach for an RGB-D camera that can robustly handle fast motion and dense loop closure, and run without time limitation in a moderate size scene.

ENFT: Efficient Non-Consecutive Feature Tracking for Robust Structure-from-Motion

3 code implementations27 Oct 2015 Guofeng Zhang, Hao-Min Liu, Zilong Dong, Jiaya Jia, Tien-Tsin Wong, Hujun Bao

Our framework consists of steps of solving the feature `dropout' problem when indistinctive structures, noise or large image distortion exists, and of rapidly recognizing and joining common features located in different subsequences.

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