3 citations · 11 across the 9 of their papers we have counts for
9 papers · 1 filter
OutLangSplat: 3D Language Gaussian Splatting for UAV Outdoor Scenes
Xia Yan, He Wu, Yanghui Xu +2
3D Language Gaussian Splatting embeds open-vocabulary language features into 3D Gaussian Splatting, providing an efficient explicit representation for text-driven 3D scene understa…
The MI-Motion Dataset and Benchmark for 3D Multi-Person Motion Prediction
Xiaogang Peng, Xiao Zhou, Yikai Luo +3
3D multi-person motion prediction is a challenging task that involves modeling individual behaviors and interactions between people. Despite the emergence of approaches for this ta…
Learning Weakly Supervised Audio-Visual Violence Detection in Hyperbolic Space
Xiaogang Peng, Hao Wen, Yikai Luo +4
In recent years, the task of weakly supervised audio-visual violence detection has gained considerable attention. The goal of this task is to identify violent segments within multi…
Trajectory-Aware Body Interaction Transformer for Multi-Person Pose Forecasting
Xiaogang Peng, Siyuan Mao, Zizhao Wu
Multi-person pose forecasting remains a challenging problem, especially in modeling fine-grained human body interaction in complex crowd scenarios. Existing methods typically repre…
PointCMC: Cross-Modal Multi-Scale Correspondences Learning for Point Cloud Understanding
Honggu Zhou, Xiaogang Peng, Jiawei Mao +2
Some self-supervised cross-modal learning approaches have recently demonstrated the potential of image signals for enhancing point cloud representation. However, it remains a quest…
SoMoFormer: Social-Aware Motion Transformer for Multi-Person Motion Prediction
Xiaogang Peng, Yaodi Shen, Haoran Wang +3
Multi-person motion prediction remains a challenging problem, especially in the joint representation learning of individual motion and social interactions. Most prior methods only…
Upsampling Autoencoder for Self-Supervised Point Cloud Learning
Cheng Zhang, Jian Shi, Xuan Deng +1
In computer-aided design (CAD) community, the point cloud data is pervasively applied in reverse engineering, where the point cloud analysis plays an important role. While a large…
PatchFormer: An Efficient Point Transformer with Patch Attention
Zhang Cheng, Haocheng Wan, Xinyi Shen +1
The point cloud learning community witnesses a modeling shift from CNNs to Transformers, where pure Transformer architectures have achieved top accuracy on the major learning bench…
PVT: Point-Voxel Transformer for Point Cloud Learning
Cheng Zhang, Haocheng Wan, Xinyi Shen +1
The recently developed pure Transformer architectures have attained promising accuracy on point cloud learning benchmarks compared to convolutional neural networks. However, existi…