no code implementations • 29 Mar 2024 • Yiteng Xu, Kecheng Ye, Xiao Han, Yiming Ren, Xinge Zhu, Yuexin Ma
Human-centric Point Cloud Video Understanding (PVU) is an emerging field focused on extracting and interpreting human-related features from sequences of human point clouds, further advancing downstream human-centric tasks and applications.
1 code implementation • 20 Mar 2024 • Peishan Cong, Ziyi Wang, Zhiyang Dou, Yiming Ren, Wei Yin, Kai Cheng, Yujing Sun, Xiaoxiao Long, Xinge Zhu, Yuexin Ma
Language-guided scene-aware human motion generation has great significance for entertainment and robotics.
1 code implementation • 29 Feb 2024 • Weiyun Wang, Yiming Ren, Haowen Luo, Tiantong Li, Chenxiang Yan, Zhe Chen, Wenhai Wang, Qingyun Li, Lewei Lu, Xizhou Zhu, Yu Qiao, Jifeng Dai
In addition, we design a new benchmark, termed Circular-based Relation Probing Evaluation (CRPE) for comprehensively evaluating the relation comprehension capabilities of MLLMs.
Ranked #32 on Visual Question Answering on MM-Vet
no code implementations • 27 Feb 2024 • Yiming Ren, Xiao Han, Chengfeng Zhao, Jingya Wang, Lan Xu, Jingyi Yu, Yuexin Ma
For human-centric large-scale scenes, fine-grained modeling for 3D human global pose and shape is significant for scene understanding and can benefit many real-world applications.
no code implementations • 28 Sep 2023 • Taojie Kuang, Yiming Ren, Zhixiang Ren
Molecular property prediction, crucial for early drug candidate screening and optimization, has seen advancements with deep learning-based methods.
1 code implementation • 14 Aug 2023 • PengFei Liu, Yiming Ren, Jun Tao, Zhixiang Ren
Large language models have made significant strides in natural language processing, enabling innovative applications in molecular science by processing textual representations of molecules.
Ranked #1 on Image Captioning on ChEBI-20
no code implementations • 30 Nov 2022 • Peishan Cong, Yiteng Xu, Yiming Ren, Juze Zhang, Lan Xu, Jingya Wang, Jingyi Yu, Yuexin Ma
Motivated by this, we propose a monocular camera and single LiDAR-based method for 3D multi-person pose estimation in large-scale scenes, which is easy to deploy and insensitive to light.
no code implementations • 28 Nov 2022 • Yiming Ren, Teo Susnjak
An approach was developed that minimises risk by combining the Kelly Index with the predefined confidence thresholds of the predictive models.
no code implementations • 22 Nov 2022 • Xiao Han, Yiming Ren, Peishan Cong, Yujing Sun, Jingya Wang, Lan Xu, Yuexin Ma
In this paper, based on a single LiDAR, we present the Hierarchical Multi-representation Feature Interaction Network (HMRNet) for robust gait recognition.
no code implementations • 30 May 2022 • Yiming Ren, Chengfeng Zhao, Yannan He, Peishan Cong, Han Liang, Jingyi Yu, Lan Xu, Yuexin Ma
We propose a multi-sensor fusion method for capturing challenging 3D human motions with accurate consecutive local poses and global trajectories in large-scale scenarios, only using single LiDAR and 4 IMUs, which are set up conveniently and worn lightly.
1 code implementation • CVPR 2022 • Peishan Cong, Xinge Zhu, Feng Qiao, Yiming Ren, Xidong Peng, Yuenan Hou, Lan Xu, Ruigang Yang, Dinesh Manocha, Yuexin Ma
In addition, considering the property of sparse global distribution and density-varying local distribution of pedestrians, we further propose a novel method, Density-aware Hierarchical heatmap Aggregation (DHA), to enhance pedestrian perception in crowded scenes.
no code implementations • 20 Mar 2022 • Yiming Ren, Peishan Cong, Xinge Zhu, Yuexin Ma
In this paper, we propose a self-supervised point cloud completion method (TraPCC) for vehicles in real traffic scenes without any complete data.
no code implementations • 12 May 2020 • Jianyu Mao, Kiana Harris, Nae-Rong Chang, Caleb Pennell, Yiming Ren
With Deep Learning Image Classification becoming more powerful each year, it is apparent that its introduction to disaster response will increase the efficiency that responders can work with.