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.
1 code implementation • 8 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.
no code implementations • 17 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.
no code implementations • 11 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.
no code implementations • 28 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).
no code implementations • 11 Jan 2024 • Weibo Jiang, Weihong Ren, Jiandong Tian, Liangqiong Qu, Zhiyong Wang, Honghai Liu
In this work, we propose to explore Self- and Cross-Triplet Correlations (SCTC) for HOI detection.
Human-Object Interaction Detection
Knowledge Distillation
+3
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.
1 code implementation • 5 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.
no code implementations • 23 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.
1 code implementation • 9 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.
no code implementations • 12 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.
no code implementations • 11 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.
no code implementations • 24 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.
no code implementations • 21 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.