no code implementations • ECCV 2020 • Siyuan Yang, Jun Liu, Shijian Lu, Meng Hwa Er, Alex C. Kot
The proposed network exploits joint-aware features that are crucial for both tasks, with which gesture recognition and 3D hand pose estimation boost each other to learn highly discriminative features and models.
1 code implementation • 1 Apr 2024 • Jinfeng Xu, Siyuan Yang, Xianzhi Li, Yuan Tang, Yixue Hao, Long Hu, Min Chen
Existing point cloud semantic segmentation networks cannot identify unknown classes and update their knowledge, due to a closed-set and static perspective of the real world, which would induce the intelligent agent to make bad decisions.
no code implementations • 4 Oct 2023 • Siyuan Yang, Lu Zhang, Liqian Ma, Yu Liu, Jingjing Fu, You He
In this paper, we propose MagicRemover, a tuning-free method that leverages the powerful diffusion models for text-guided image inpainting.
no code implementations • 14 Jul 2023 • Siyuan Yang, Jun Liu, Shijian Lu, Er Meng Hwa, Alex C. Kot
The first is multi-scale matching which captures the scale-wise semantic relevance of skeleton data at multiple spatial and temporal scales simultaneously.
1 code implementation • 5 Jun 2023 • Siyuan Yang, Lu Zhang, Yu Liu, Zhizhuo Jiang, You He
We construct a local-global context guidance strategy to capture the multi-perceptual embedding of the past fragment to boost the consistency of future prediction.
no code implementations • 18 Apr 2023 • Siyuan Yang, Jun Liu, Shijian Lu, Er Meng Hwa, Yongjian Hu, Alex C. Kot
We investigate self-supervised representation learning and design a novel skeleton cloud colorization technique that is capable of learning spatial and temporal skeleton representations from unlabeled skeleton sequence data.
no code implementations • 1 Apr 2023 • Jianhong Pan, Siyuan Yang, Lin Geng Foo, Qiuhong Ke, Hossein Rahmani, Zhipeng Fan, Jun Liu
Currently, salience-based channel pruning makes continuous breakthroughs in network compression.
no code implementations • 28 Feb 2023 • Chenyu Yi, Siyuan Yang, YuFei Wang, Haoliang Li, Yap-Peng Tan, Alex C. Kot
To exploit information in video with self-supervised learning, TeCo uses global content from video clips and optimizes models for entropy minimization.
no code implementations • ICCV 2023 • Hao Cheng, Siyuan Yang, Joey Tianyi Zhou, Lanqing Guo, Bihan Wen
Few-shot classification aims to learn a discriminative feature representation to recognize unseen classes with few labeled support samples.
1 code implementation • 13 Oct 2021 • Chenyu Yi, Siyuan Yang, Haoliang Li, Yap-Peng Tan, Alex Kot
The state-of-the-art deep neural networks are vulnerable to common corruptions (e. g., input data degradations, distortions, and disturbances caused by weather changes, system error, and processing).
no code implementations • ICCV 2021 • Siyuan Yang, Jun Liu, Shijian Lu, Meng Hwa Er, Alex C. Kot
We investigate unsupervised representation learning for skeleton action recognition, and design a novel skeleton cloud colorization technique that is capable of learning skeleton representations from unlabeled skeleton sequence data.