Search Results for author: Siyuan Yang

Found 10 papers, 2 papers with code

Collaborative Learning of Gesture Recognition and 3D Hand Pose Estimation with Multi-Order Feature Analysis

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.

3D Hand Pose Estimation Gesture Recognition

Magicremover: Tuning-free Text-guided Image inpainting with Diffusion Models

no code implementations4 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.

Denoising Image Inpainting

One-Shot Action Recognition via Multi-Scale Spatial-Temporal Skeleton Matching

no code implementations14 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.

Action Recognition

Video Diffusion Models with Local-Global Context Guidance

1 code implementation5 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.

Future prediction Unconditional Video Generation +1

Self-Supervised 3D Action Representation Learning with Skeleton Cloud Colorization

no code implementations18 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.

Colorization Representation Learning +2

Progressive Channel-Shrinking Network

no code implementations1 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.

Temporal Coherent Test-Time Optimization for Robust Video Classification

no code implementations28 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.

Classification Self-Supervised Learning +1

Frequency Guidance Matters in Few-Shot Learning

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.

Few-Shot Learning Metric Learning

Benchmarking the Robustness of Spatial-Temporal Models Against Corruptions

1 code implementation13 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).

Benchmarking Computational Efficiency +1

Skeleton Cloud Colorization for Unsupervised 3D Action Representation Learning

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.

3D Action Recognition Colorization +1

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