Search Results for author: Zhihao LI

Found 24 papers, 17 papers with code

Reconstructing Groups of People with Hypergraph Relational Reasoning

no code implementations30 Aug 2023 Buzhen Huang, Jingyi Ju, Zhihao LI, Yangang Wang

To address the obstacles, we fully exploit crowd features for reconstructing groups of people from a monocular image.

Pose Estimation Relational Reasoning

Physics-Guided Human Motion Capture with Pose Probability Modeling

1 code implementation19 Aug 2023 Jingyi Ju, Buzhen Huang, Chen Zhu, Zhihao LI, Yangang Wang

To address the obstacles, our key-idea is to employ physics as denoising guidance in the reverse diffusion process to reconstruct physically plausible human motion from a modeled pose probability distribution.


PointMBF: A Multi-scale Bidirectional Fusion Network for Unsupervised RGB-D Point Cloud Registration

1 code implementation9 Aug 2023 Mingzhi Yuan, Kexue Fu, Zhihao LI, Yucong Meng, Manning Wang

Point cloud registration is a task to estimate the rigid transformation between two unaligned scans, which plays an important role in many computer vision applications.

Point Cloud Registration

Scale-aware Test-time Click Adaptation for Pulmonary Nodule and Mass Segmentation

1 code implementation28 Jul 2023 Zhihao LI, Jiancheng Yang, Yongchao Xu, Li Zhang, Wenhui Dong, Bo Du

Extensive experiments on both open-source and in-house datasets consistently demonstrate the effectiveness of the proposed method over some CNN and Transformer-based segmentation methods.

Image Segmentation Management +2

Hierarchical Matching and Reasoning for Multi-Query Image Retrieval

no code implementations26 Jun 2023 Zhong Ji, Zhihao LI, Yan Zhang, Haoran Wang, Yanwei Pang, Xuelong Li

Afterwards, the VR module is developed to excavate the potential semantic correlations among multiple region-query pairs, which further explores the high-level reasoning similarity.

Image Retrieval Retrieval

SoftGPT: Learn Goal-oriented Soft Object Manipulation Skills by Generative Pre-trained Heterogeneous Graph Transformer

1 code implementation22 Jun 2023 Junjia Liu, Zhihao LI, WanYu Lin, Sylvain Calinon, Kay Chen Tan, Fei Chen

Soft object manipulation tasks in domestic scenes pose a significant challenge for existing robotic skill learning techniques due to their complex dynamics and variable shape characteristics.

Efficient Visual Computing with Camera RAW Snapshots

1 code implementation15 Dec 2022 Zhihao LI, Ming Lu, Xu Zhang, Xin Feng, M. Salman Asif, Zhan Ma

Conventional cameras capture image irradiance on a sensor and convert it to RGB images using an image signal processor (ISP).

Autonomous Driving Image Compression +2

PointCLM: A Contrastive Learning-based Framework for Multi-instance Point Cloud Registration

1 code implementation1 Sep 2022 Mingzhi Yuan, Zhihao LI, Qiuye Jin, Xinrong Chen, Manning Wang

Multi-instance point cloud registration is the problem of estimating multiple poses of source point cloud instances within a target point cloud.

Contrastive Learning Point Cloud Registration

CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation

4 code implementations1 Aug 2022 Zhihao LI, Jianzhuang Liu, Zhensong Zhang, Songcen Xu, Youliang Yan

Top-down methods dominate the field of 3D human pose and shape estimation, because they are decoupled from human detection and allow researchers to focus on the core problem.

3D human pose and shape estimation Human Detection +1

HICF: Hyperbolic Informative Collaborative Filtering

1 code implementation19 Jul 2022 Menglin Yang, Zhihao LI, Min Zhou, Jiahong Liu, Irwin King

The results reveal that (1) tail items get more emphasis in hyperbolic space than that in Euclidean space, but there is still ample room for improvement; (2) head items receive modest attention in hyperbolic space, which could be considerably improved; (3) and nonetheless, the hyperbolic models show more competitive performance than Euclidean models.

Collaborative Filtering Recommendation Systems

Rendering Nighttime Image Via Cascaded Color and Brightness Compensation

1 code implementation19 Apr 2022 Zhihao LI, Si Yi, Zhan Ma

Image signal processing (ISP) is crucial for camera imaging, and neural networks (NN) solutions are extensively deployed for daytime scenes.

Tone Mapping

Event Transformer

no code implementations11 Apr 2022 Zhihao LI, M. Salman Asif, Zhan Ma

The event camera is a bio-vision inspired camera with high dynamic range, high response speed, and low power consumption, recently attracting extensive attention for its use in vast vision tasks.

Event-based vision

Hyperbolic Graph Neural Networks: A Review of Methods and Applications

1 code implementation28 Feb 2022 Menglin Yang, Min Zhou, Zhihao LI, Jiahong Liu, Lujia Pan, Hui Xiong, Irwin King

Graph neural networks generalize conventional neural networks to graph-structured data and have received widespread attention due to their impressive representation ability.

Anatomy Graph Learning

Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks

1 code implementation ICCV 2021 Zhihao Liang, Zhihao LI, Songcen Xu, Mingkui Tan, Kui Jia

State-of-the-art methods largely rely on a general pipeline that first learns point-wise features discriminative at semantic and instance levels, followed by a separate step of point grouping for proposing object instances.

3D Instance Segmentation Scene Understanding +1

DualPoseNet: Category-level 6D Object Pose and Size Estimation Using Dual Pose Network with Refined Learning of Pose Consistency

1 code implementation ICCV 2021 Jiehong Lin, Zewei Wei, Zhihao LI, Songcen Xu, Kui Jia, Yuanqing Li

DualPoseNet stacks two parallel pose decoders on top of a shared pose encoder, where the implicit decoder predicts object poses with a working mechanism different from that of the explicit one; they thus impose complementary supervision on the training of pose encoder.

6D Pose Estimation using RGBD Pose Prediction

Quality-Aware Network for Human Parsing

1 code implementation10 Mar 2021 Lu Yang, Qing Song, Zhihui Wang, Zhiwei Liu, Songcen Xu, Zhihao LI

How to estimate the quality of the network output is an important issue, and currently there is no effective solution in the field of human parsing.

Human Parsing Instance Segmentation +1

Illumination Estimation Challenge: experience of past two years

no code implementations31 Dec 2020 Egor Ershov, Alex Savchik, Ilya Semenkov, Nikola Banić, Karlo Koscević, Marko Subašić, Alexander Belokopytov, Zhihao LI, Arseniy Terekhin, Daria Senshina, Artem Nikonorov, Yanlin Qian, Marco Buzzelli, Riccardo Riva, Simone Bianco, Raimondo Schettini, Sven Lončarić, Dmitry Nikolaev

The main advantage of testing a method on a challenge over testing in on some of the known datasets is the fact that the ground-truth illuminations for the challenge test images are unknown up until the results have been submitted, which prevents any potential hyperparameter tuning that may be biased.

Color Constancy Vocal Bursts Valence Prediction

An LSTM-Based Autonomous Driving Model Using Waymo Open Dataset

2 code implementations14 Feb 2020 Zhicheng Gu, Zhihao LI, Xuan Di, Rongye Shi

The Waymo Open Dataset has been released recently, providing a platform to crowdsource some fundamental challenges for automated vehicles (AVs), such as 3D detection and tracking.

Autonomous Driving Self-Driving Cars


no code implementations ICLR 2019 Zhihao LI, Toshiyuki MOTOYOSHI, Kazuma Sasaki, Tetsuya OGATA, Shigeki SUGANO

Current end-to-end deep learning driving models have two problems: (1) Poor generalization ability of unobserved driving environment when diversity of train- ing driving dataset is limited (2) Lack of accident explanation ability when driving models don’t work as expected.

Rethinking Self-driving: Multi-task Knowledge for Better Generalization and Accident Explanation Ability

1 code implementation28 Sep 2018 Zhihao Li, Toshiyuki Motoyoshi, Kazuma Sasaki, Tetsuya OGATA, Shigeki SUGANO

Current end-to-end deep learning driving models have two problems: (1) Poor generalization ability of unobserved driving environment when diversity of training driving dataset is limited (2) Lack of accident explanation ability when driving models don't work as expected.

Geometry-Contrastive GAN for Facial Expression Transfer

1 code implementation6 Feb 2018 Fengchun Qiao, Naiming Yao, Zirui Jiao, Zhihao LI, Hui Chen, Hongan Wang

Geometry information is introduced into cGANs as continuous conditions to guide the generation of facial expressions.

Contrastive Learning

Transfer of View-manifold Learning to Similarity Perception of Novel Objects

no code implementations31 Mar 2017 Xingyu Lin, Hao Wang, Zhihao LI, Yimeng Zhang, Alan Yuille, Tai Sing Lee

We develop a model of perceptual similarity judgment based on re-training a deep convolution neural network (DCNN) that learns to associate different views of each 3D object to capture the notion of object persistence and continuity in our visual experience.

Metric Learning

Searching Action Proposals via Spatial Actionness Estimation and Temporal Path Inference and Tracking

no code implementations23 Aug 2016 Nannan Li, Dan Xu, Zhenqiang Ying, Zhihao LI, Ge Li

In this paper, we address the problem of searching action proposals in unconstrained video clips.

Cannot find the paper you are looking for? You can Submit a new open access paper.