Search Results for author: Zhiliang Wu

Found 11 papers, 3 papers with code

Prototype Learning for Micro-gesture Classification

no code implementations6 Aug 2024 Guoliang Chen, Fei Wang, Kun Li, Zhiliang Wu, Hehe Fan, Yi Yang, Meng Wang, Dan Guo

In this paper, we briefly introduce the solution developed by our team, HFUT-VUT, for the track of Micro-gesture Classification in the MiGA challenge at IJCAI 2024.

Action Recognition Classification +2

Micro-gesture Online Recognition using Learnable Query Points

no code implementations5 Jul 2024 Pengyu Liu, Fei Wang, Kun Li, Guoliang Chen, Yanyan Wei, Shengeng Tang, Zhiliang Wu, Dan Guo

The Micro-gesture Online Recognition task involves identifying the category and locating the start and end times of micro-gestures in video clips.

Action Detection

Deep Stereo Video Inpainting

no code implementations CVPR 2023 Zhiliang Wu, Changchang Sun, Hanyu Xuan, Yan Yan

Stereo video inpainting aims to fill the missing regions on the left and right views of the stereo video with plausible content simultaneously.

Video Inpainting

Semi-Supervised Video Inpainting with Cycle Consistency Constraints

no code implementations CVPR 2023 Zhiliang Wu, Hanyu Xuan, Changchang Sun, Kang Zhang, Yan Yan

Specifically, in this work, we propose an end-to-end trainable framework consisting of completion network and mask prediction network, which are designed to generate corrupted contents of the current frame using the known mask and decide the regions to be filled of the next frame, respectively.

Video Inpainting

Description-based Label Attention Classifier for Explainable ICD-9 Classification

no code implementations WNUT (ACL) 2021 Malte Feucht, Zhiliang Wu, Sophia Althammer, Volker Tresp

ICD-9 coding is a relevant clinical billing task, where unstructured texts with information about a patient's diagnosis and treatments are annotated with multiple ICD-9 codes.

Classification

Categorical EHR Imputation with Generative Adversarial Nets

no code implementations3 Aug 2021 Yinchong Yang, Zhiliang Wu, Volker Tresp, Peter A. Fasching

Recently, researchers have attempted to apply GANs to missing data generation and imputation for EHR data: a major challenge here is the categorical nature of the data.

Image Generation Imputation

Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models

1 code implementation26 Jul 2021 Zhiliang Wu, Yinchong Yang, Peter A. Fasching, Volker Tresp

Recurrent neural network based solutions are increasingly being used in the analysis of longitudinal Electronic Health Record data.

Metric Learning Time-to-Event Prediction

Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learning

1 code implementation1 Jun 2021 Zhiliang Wu, Yinchong Yang, Jindong Gu, Volker Tresp

We propose an uncertainty-aware deep kernel learning model which permits the estimation of the uncertainty in the prediction by a pipeline of a Convolutional Neural Network and a sparse Gaussian Process.

Medical Image Analysis

Introspective Learning by Distilling Knowledge from Online Self-explanation

no code implementations19 Sep 2020 Jindong Gu, Zhiliang Wu, Volker Tresp

Motivated by the conclusion, we propose an implementation of introspective learning by distilling knowledge from online self-explanations.

Knowledge Distillation

Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score

1 code implementation2 Jul 2020 Zhiliang Wu, Yinchong Yang, Yunpu Ma, Yushan Liu, Rui Zhao, Michael Moor, Volker Tresp

Randomized controlled trials typically analyze the effectiveness of treatments with the goal of making treatment recommendations for patient subgroups.

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