Search Results for author: Minghao Guo

Found 13 papers, 8 papers with code

Adaptive Approximate Implicitization of Planar Parametric Curves via Weak Gradient Constraints

no code implementations23 Feb 2023 Minghao Guo, Yan Gao, Zheng Pan

Converting a parametric curve into the implicit form, which is called implicitization, has always been a popular but challenging problem in geometric modeling and related applications.

Weld Defect Segmentation in Xray Image with Boundary Label Smoothing

1 code implementation sci 2022 Junhua Zhang, Minghao Guo, Pengzhi Chu, Yang Liu, Jun Chen, Huanxi Liu

Weld defect segmentation (WDS) is widely used to detect defects from X-ray images for welds, which is of practical importance for manufacturing in all industries.

Data-Efficient Graph Grammar Learning for Molecular Generation

1 code implementation ICLR 2022 Minghao Guo, Veronika Thost, Beichen Li, Payel Das, Jie Chen, Wojciech Matusik

This is a non-trivial task for neural network-based generative models since the relevant chemical knowledge can only be extracted and generalized from the limited training data.

Polygrammar: Grammar for Digital Polymer Representation and Generation

no code implementations5 May 2021 Minghao Guo, Wan Shou, Liane Makatura, Timothy Erps, Michael Foshey, Wojciech Matusik

Here, we present a parametric, context-sensitive grammar designed specifically for the representation and generation of polymers.

Towards Evaluating and Training Verifiably Robust Neural Networks

1 code implementation CVPR 2021 Zhaoyang Lyu, Minghao Guo, Tong Wu, Guodong Xu, Kehuan Zhang, Dahua Lin

Recent works have shown that interval bound propagation (IBP) can be used to train verifiably robust neural networks.

Texture Memory-Augmented Deep Patch-Based Image Inpainting

1 code implementation28 Sep 2020 Rui Xu, Minghao Guo, Jiaqi Wang, Xiaoxiao Li, Bolei Zhou, Chen Change Loy

By bringing together the best of both paradigms, we propose a new deep inpainting framework where texture generation is guided by a texture memory of patch samples extracted from unmasked regions.

Image Inpainting Retrieval +1

AM-LFS: AutoML for Loss Function Search

1 code implementation ICCV 2019 Chuming Li, Yuan Xin, Chen Lin, Minghao Guo, Wei Wu, Wanli Ouyang, Junjie Yan

The key contribution of this work is the design of search space which can guarantee the generalization and transferability on different vision tasks by including a bunch of existing prevailing loss functions in a unified formulation.


IRLAS: Inverse Reinforcement Learning for Architecture Search

1 code implementation CVPR 2019 Minghao Guo, Zhao Zhong, Wei Wu, Dahua Lin, Junjie Yan

Motivated by the fact that human-designed networks are elegant in topology with a fast inference speed, we propose a mirror stimuli function inspired by biological cognition theory to extract the abstract topological knowledge of an expert human-design network (ResNeXt).

Neural Architecture Search reinforcement-learning +1

Dual-Agent Deep Reinforcement Learning for Deformable Face Tracking

no code implementations ECCV 2018 Minghao Guo, Jiwen Lu, Jie zhou

In this paper, we propose a dual-agent deep reinforcement learning (DADRL) method for deformable face tracking, which generates bounding boxes and detects facial landmarks interactively from face videos.

Facial Landmark Detection reinforcement-learning +1

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