Search Results for author: Yuming Huang

Found 8 papers, 1 papers with code

Image Super-resolution Reconstruction Network based on Enhanced Swin Transformer via Alternating Aggregation of Local-Global Features

no code implementations30 Dec 2023 Yuming Huang, Yingpin Chen, Changhui Wu, Hanrong Xie, Binhui Song, Hui Wang

In the local feature aggregation stage, we introduce a shift convolution to realize the interaction between local spatial information and channel information.

Image Super-Resolution

RoMo-HER: Robust Model-based Hindsight Experience Replay

1 code implementation28 Jun 2023 Yuming Huang, Bin Ren

In our paper, we design a robust framework called Robust Model-based Hindsight Experience Replay (RoMo-HER) which can effectively utilize the dynamical model in robot manipulation environments to enhance the sample efficiency.

Multi-Goal Reinforcement Learning Reinforcement Learning (RL) +1

MaskRange: A Mask-classification Model for Range-view based LiDAR Segmentation

no code implementations24 Jun 2022 Yi Gu, Yuming Huang, Chengzhong Xu, Hui Kong

To answer this question, we propose a unified mask-classification model, MaskRange, for the range-view based LiDAR semantic and panoptic segmentation.

Classification Data Augmentation +3

INTERN: A New Learning Paradigm Towards General Vision

no code implementations16 Nov 2021 Jing Shao, Siyu Chen, Yangguang Li, Kun Wang, Zhenfei Yin, Yinan He, Jianing Teng, Qinghong Sun, Mengya Gao, Jihao Liu, Gengshi Huang, Guanglu Song, Yichao Wu, Yuming Huang, Fenggang Liu, Huan Peng, Shuo Qin, Chengyu Wang, Yujie Wang, Conghui He, Ding Liang, Yu Liu, Fengwei Yu, Junjie Yan, Dahua Lin, Xiaogang Wang, Yu Qiao

Enormous waves of technological innovations over the past several years, marked by the advances in AI technologies, are profoundly reshaping the industry and the society.

Salt and pepper noise removal method based on stationary Framelet transform with non-convex sparsity regularization

no code implementations18 Oct 2021 Yingpin Chen, Yuming Huang, Lingzhi Wang, Huiying Huang, Jianhua Song, Chaoqun Yu, Yanping Xu

For example, the noise location information is often ignored and the sparsity of the salt and pepper noise is often described by L1 norm, which cannot illustrate the sparse variables clearly.

Salt-And-Pepper Noise Removal

Community Detection and Improved Detectability in Multiplex Networks

no code implementations23 Sep 2019 Yuming Huang, Ashkan Panahi, Hamid Krim, Liyi Dai

We further demonstrate by numerical experiments that in the presence of consistent communities between different layers, consistent communities are matched, and the detectability is improved over a single layer.

Community Detection Stochastic Block Model

Deep Adversarial Belief Networks

no code implementations13 Sep 2019 Yuming Huang, Ashkan Panahi, Hamid Krim, Yiyi Yu, Spencer L. Smith

We present a novel adversarial framework for training deep belief networks (DBNs), which includes replacing the generator network in the methodology of generative adversarial networks (GANs) with a DBN and developing a highly parallelizable numerical algorithm for training the resulting architecture in a stochastic manner.

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