Search Results for author: Hengyue Liang

Found 6 papers, 4 papers with code

Early Stopping for Deep Image Prior

1 code implementation11 Dec 2021 Hengkang Wang, Taihui Li, Zhong Zhuang, Tiancong Chen, Hengyue Liang, Ju Sun

In this regard, the majority of DIP works for vision tasks only demonstrates the potential of the models -- reporting the peak performance against the ground truth, but provides no clue about how to operationally obtain near-peak performance without access to the groundtruth.

Computer Vision

Self-Validation: Early Stopping for Single-Instance Deep Generative Priors

2 code implementations23 Oct 2021 Taihui Li, Zhong Zhuang, Hengyue Liang, Le Peng, Hengkang Wang, Ju Sun

Recent works have shown the surprising effectiveness of deep generative models in solving numerous image reconstruction (IR) tasks, even without training data.

Image Reconstruction

Rethink Transfer Learning in Medical Image Classification

1 code implementation9 Jun 2021 Le Peng, Hengyue Liang, Gaoxiang Luo, Taihui Li, Ju Sun

Transfer learning (TL) with deep convolutional neural networks (DCNNs) is crucial for modern medical image classification (MIC).

Image Classification Medical Image Classification +1

Attribute-Based Robotic Grasping with One-Grasp Adaptation

no code implementations6 Apr 2021 Yang Yang, YuanHao Liu, Hengyue Liang, Xibai Lou, Changhyun Choi

In this work, we introduce an end-to-end learning method of attribute-based robotic grasping with one-grasp adaptation capability.

Robotic Grasping

A Deep Learning Approach to Grasping the Invisible

1 code implementation11 Sep 2019 Yang Yang, Hengyue Liang, Changhyun Choi

The target-oriented motion critic, which maps both visual observations and target information to the expected future rewards of pushing and grasping motion primitives, is learned via deep Q-learning.

Q-Learning

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