Search Results for author: Yuhang Lu

Found 10 papers, 4 papers with code

Style Mixing and Patchwise Prototypical Matching for One-Shot Unsupervised Domain Adaptive Semantic Segmentation

1 code implementation9 Dec 2021 Xinyi Wu, Zhenyao Wu, Yuhang Lu, Lili Ju, Song Wang

In this paper, we tackle the problem of one-shot unsupervised domain adaptation (OSUDA) for semantic segmentation where the segmentors only see one unlabeled target image during training.

One-shot Unsupervised Domain Adaptation Semantic Segmentation +2

Impact of Benign Modifications on Discriminative Performance of Deepfake Detectors

no code implementations14 Nov 2021 Yuhang Lu, Evgeniy Upenik, Touradj Ebrahimi

Deepfakes are becoming increasingly popular in both good faith applications such as in entertainment and maliciously intended manipulations such as in image and video forgery.

DeepFake Detection Denoising +1

Contour Transformer Network for One-shot Segmentation of Anatomical Structures

1 code implementation2 Dec 2020 Yuhang Lu, Kang Zheng, Weijian Li, Yirui Wang, Adam P. Harrison, ChiHung Lin, Song Wang, Jing Xiao, Le Lu, Chang-Fu Kuo, Shun Miao

In this work, we present Contour Transformer Network (CTN), a one-shot anatomy segmentation method with a naturally built-in human-in-the-loop mechanism.

One-Shot Learning One-Shot Segmentation

Does Haze Removal Help CNN-based Image Classification?

no code implementations ECCV 2018 Yanting Pei, Yaping Huang, Qi Zou, Yuhang Lu, Song Wang

Typically, the goal of image dehazing is to produce clearer images from which human vision can better identify the object and structural details present in the images.

General Classification Image Classification +2

Design Identification of Curve Patterns on Cultural Heritage Objects: Combining Template Matching and CNN-based Re-Ranking

no code implementations17 May 2018 Jun Zhou, Yuhang Lu, Kang Zheng, Karen Smith, Colin Wilder, Song Wang

The goal of this paper is to address the challenging problem of automatically identifying the underlying full design of curve patterns from such a sherd.

Re-Ranking Template Matching

Curve-Structure Segmentation from Depth Maps: A CNN-based Approach and Its Application to Exploring Cultural Heritage Objects

no code implementations7 Nov 2017 Yuhang Lu, Jun Zhou, Jing Wang, Jun Chen, Karen Smith, Colin Wilder, Song Wang

Motivated by the important archaeological application of exploring cultural heritage objects, in this paper we study the challenging problem of automatically segmenting curve structures that are very weakly stamped or carved on an object surface in the form of a highly noisy depth map.

Semantic Segmentation

Scale-constrained Unsupervised Evaluation Method for Multi-scale Image Segmentation

1 code implementation15 Nov 2016 Yuhang Lu, Youchuan Wan, Gang Li

Unsupervised evaluation of segmentation quality is a crucial step in image segmentation applications.

Semantic Segmentation

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