Search Results for author: Honghai Liu

Found 14 papers, 4 papers with code

Language-Assisted Skeleton Action Understanding for Skeleton-Based Temporal Action Segmentation

1 code implementation European Conference on Computer Vision (ECCV2024) 2024 Haoyu Ji, Bowen Chen, Xinglong Xu, Weihong Ren, Zhiyong Wang, Honghai Liu

Regarding action relationships, the Action Relationships Supervision (ARS) module enhances the discrimination across action classes through contrastive learning of single-class action-text pairs and models the semantic associations of adjacent actions by contrasting mixed-class clip-text pairs.

Action Segmentation Action Understanding +2

Language-Assisted Human Part Motion Learning for Skeleton-Based Temporal Action Segmentation

1 code implementation8 Oct 2024 Bowen Chen, Haoyu Ji, Zhiyong Wang, Benjamin Filtjens, Chunzhuo Wang, Weihong Ren, Bart Vanrumste, Honghai Liu

To address these limitations, we propose a novel method named Language-assisted Human Part Motion Representation Learning (LPL), which contains a Disentangled Part Motion Encoder (DPE) to extract dual-level (i. e., part and whole-body) motion representations and a Language-assisted Distribution Alignment (LDA) strategy for optimizing spatial relations within representations.

Action Classification Action Segmentation +3

Online 4D Ultrasound-Guided Robotic Tracking Enables 3D Ultrasound Localisation Microscopy with Large Tissue Displacements

no code implementations17 Sep 2024 Jipeng Yan, Shusei Kawara, Qingyuan Tan, Jingwen Zhu, Bingxue Wang, Matthieu Toulemonde, Honghai Liu, Ying Tan, Meng-Xing Tang

Super-Resolution Ultrasound (SRUS) imaging through localising and tracking microbubbles, also known as Ultrasound Localisation Microscopy (ULM), has demonstrated significant potential for reconstructing microvasculature and flows with sub-diffraction resolution in clinical diagnostics.

Super-Resolution

Multi-Objective Sizing Optimization Method of Microgrid Considering Cost and Carbon Emissions

no code implementations11 Jun 2024 Xiang Zhu, Guangchun Ruan, Hua Geng, Honghai Liu, Mingfei Bai, Chao Peng

Microgrid serves as a promising solution to integrate and manage distributed renewable energy resources.

Diversity

The Unified Balance Theory of Second-Moment Exponential Scaling Optimizers in Visual Tasks

no code implementations28 May 2024 Gongyue Zhang, Honghai Liu

We have identified a potential method for unifying first-order optimizers through the use of variable Second-Moment Exponential Scaling(SMES).

Discovering Syntactic Interaction Clues for Human-Object Interaction Detection

no code implementations CVPR 2024 Jinguo Luo, Weihong Ren, Weibo Jiang, Xi'ai Chen, Qiang Wang, Zhi Han, Honghai Liu

Further to align visual features with the syntactic interaction bank we adopt a multi-view extractor to jointly aggregate visual features from instance interaction and image levels accordingly.

Decoder Human-Object Interaction Detection +2

Asymmetric Momentum: A Rethinking of Gradient Descent

1 code implementation5 Sep 2023 Gongyue Zhang, Dinghuang Zhang, Shuwen Zhao, Donghan Liu, Carrie M. Toptan, Honghai Liu

It not only can accelerates slow-changing parameters for sparse gradients, similar to adaptive optimizers, but also can choose to accelerates frequently-changing parameters for non-sparse gradients, thus being adaptable to all types of datasets.

Specificity

Full Resolution Repetition Counting

no code implementations23 May 2023 Jianing Li, Bowen Chen, Zhiyong Wang, Honghai Liu

Given an untrimmed video, repetitive actions counting aims to estimate the number of repetitions of class-agnostic actions.

Lifelong-MonoDepth: Lifelong Learning for Multi-Domain Monocular Metric Depth Estimation

1 code implementation9 Mar 2023 Junjie Hu, Chenyou Fan, Liguang Zhou, Qing Gao, Honghai Liu, Tin Lun Lam

With the rapid advancements in autonomous driving and robot navigation, there is a growing demand for lifelong learning models capable of estimating metric (absolute) depth.

Autonomous Driving Depth Prediction +2

Joint Counting, Detection and Re-Identification for Multi-Object Tracking

no code implementations12 Dec 2022 Weihong Ren, Denglu Wu, Hui Cao, Xi'ai Chen, Zhi Han, Honghai Liu

The recent trend in 2D multiple object tracking (MOT) is jointly solving detection and tracking, where object detection and appearance feature (or motion) are learned simultaneously.

Multi-Object Tracking Multiple Object Tracking +3

Deep Depth Completion from Extremely Sparse Data: A Survey

no code implementations11 May 2022 Junjie Hu, Chenyu Bao, Mete Ozay, Chenyou Fan, Qing Gao, Honghai Liu, Tin Lun Lam

Depth completion aims at predicting dense pixel-wise depth from an extremely sparse map captured from a depth sensor, e. g., LiDARs.

3D Reconstruction Autonomous Driving +3

Dense 3D Facial Reconstruction from a Single Depth Image in Unconstrained Environment

no code implementations24 Apr 2017 Shu Zhang, Hui Yu, Ting Wang, Junyu Dong, Honghai Liu

With the increasing demands of applications in virtual reality such as 3D films, virtual Human-Machine Interactions and virtual agents, the analysis of 3D human face analysis is considered to be more and more important as a fundamental step for those virtual reality tasks.

Ship Detection and Segmentation using Image Correlation

no code implementations21 Oct 2013 Alexander Kadyrov, Hui Yu, Honghai Liu

There have been intensive research interests in ship detection and segmentation due to high demands on a wide range of civil applications in the last two decades.

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