Search Results for author: Zhihao Wang

Found 14 papers, 6 papers with code

Existence Is Chaos: Enhancing 3D Human Motion Prediction with Uncertainty Consideration

no code implementations21 Mar 2024 Zhihao Wang, Yulin Zhou, Ningyu Zhang, Xiaosong Yang, Jun Xiao, Zhao Wang

We believe our work could provide a novel perspective to consider the uncertainty quality for the general motion prediction task and encourage the studies in this field.

Human motion prediction motion prediction

SimFair: Physics-Guided Fairness-Aware Learning with Simulation Models

no code implementations27 Jan 2024 Zhihao Wang, Yiqun Xie, Zhili Li, Xiaowei Jia, Zhe Jiang, Aolin Jia, Shuo Xu

Fairness-awareness has emerged as an essential building block for the responsible use of artificial intelligence in real applications.

Fairness

A Sequence-to-Sequence&Set Model for Text-to-Table Generation

1 code implementation31 May 2023 Tong Li, Zhihao Wang, Liangying Shao, Xuling Zheng, Xiaoli Wang, Jinsong Su

Specifically, in addition to a text encoder encoding the input text, our model is equipped with a table header generator to first output a table header, i. e., the first row of the table, in the manner of sequence generation.

Revisiting Non-Autoregressive Translation at Scale

1 code implementation25 May 2023 Zhihao Wang, Longyue Wang, Jinsong Su, Junfeng Yao, Zhaopeng Tu

Experimental results on the large-scale WMT20 En-De show that the asymmetric architecture (e. g. bigger encoder and smaller decoder) can achieve comparable performance with the scaling model, while maintaining the superiority of decoding speed with standard NAT models.

Translation

Learning to Detect Noisy Labels Using Model-Based Features

1 code implementation28 Dec 2022 Zhihao Wang, Zongyu Lin, Peiqi Liu, Guidong Zheng, Junjie Wen, Xianxin Chen, Yujun Chen, Zhilin Yang

Label noise is ubiquitous in various machine learning scenarios such as self-labeling with model predictions and erroneous data annotation.

Meta-Learning speech-recognition +3

Temporal Saliency Query Network for Efficient Video Recognition

no code implementations21 Jul 2022 Boyang xia, Zhihao Wang, Wenhao Wu, Haoran Wang, Jungong Han

For each category, the common pattern of it is employed as a query and the most salient frames are responded to it.

Action Recognition Video Recognition

A fully differentiable ligand pose optimization framework guided by deep learning and traditional scoring functions

1 code implementation27 Jun 2022 Zechen Wang, Liangzhen Zheng, Sheng Wang, Mingzhi Lin, Zhihao Wang, Adams Wai-Kin Kong, Yuguang Mu, Yanjie Wei, Weifeng Li

In this work, we propose a fully differentiable framework for ligand pose optimization based on a hybrid scoring function (SF) combined with a multi-layer perceptron (DeepRMSD) and the traditional AutoDock Vina SF.

Multi-Attention Generative Adversarial Network for Remote Sensing Image Super-Resolution

no code implementations14 Jul 2021 Meng Xu, Zhihao Wang, Jiasong Zhu, Xiuping Jia, Sen Jia

The main body of the generator contains two blocks; one is the pyramidal convolution in the residual-dense block (PCRDB), and the other is the attention-based upsample (AUP) block.

Generative Adversarial Network Image Super-Resolution

Robust End-to-End Offline Chinese Handwriting Text Page Spotter with Text Kernel

1 code implementation4 Jul 2021 Zhihao Wang, Yanwei Yu, Yibo Wang, Haixu Long, Fazheng Wang

Offline Chinese handwriting text recognition is a long-standing research topic in the field of pattern recognition.

Language Modelling Text Detection

Adaptive Task Sampling for Meta-Learning

no code implementations ECCV 2020 Chenghao Liu, Zhihao Wang, Doyen Sahoo, Yuan Fang, Kun Zhang, Steven C. H. Hoi

Meta-learning methods have been extensively studied and applied in computer vision, especially for few-shot classification tasks.

Classification General Classification +1

Deep Learning for Image Super-resolution: A Survey

5 code implementations16 Feb 2019 Zhihao Wang, Jian Chen, Steven C. H. Hoi

Image Super-Resolution (SR) is an important class of image processing techniques to enhance the resolution of images and videos in computer vision.

Image Super-Resolution

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