Search Results for author: Yu-Huan Wu

Found 15 papers, 10 papers with code

Low-Resolution Self-Attention for Semantic Segmentation

no code implementations8 Oct 2023 Yu-Huan Wu, Shi-Chen Zhang, Yun Liu, Le Zhang, Xin Zhan, Daquan Zhou, Jiashi Feng, Ming-Ming Cheng, Liangli Zhen

Semantic segmentation tasks naturally require high-resolution information for pixel-wise segmentation and global context information for class prediction.

Segmentation Semantic Segmentation

Revisiting Computer-Aided Tuberculosis Diagnosis

1 code implementation6 Jul 2023 Yun Liu, Yu-Huan Wu, Shi-Chen Zhang, Li Liu, Min Wu, Ming-Ming Cheng

This dataset enables the training of sophisticated detectors for high-quality CTD.

Image Classification

Ret3D: Rethinking Object Relations for Efficient 3D Object Detection in Driving Scenes

no code implementations18 Aug 2022 Yu-Huan Wu, Da Zhang, Le Zhang, Xin Zhan, Dengxin Dai, Yun Liu, Ming-Ming Cheng

Current efficient LiDAR-based detection frameworks are lacking in exploiting object relations, which naturally present in both spatial and temporal manners.

3D Object Detection Object +2

BE-STI: Spatial-Temporal Integrated Network for Class-Agnostic Motion Prediction With Bidirectional Enhancement

no code implementations CVPR 2022 Yunlong Wang, Hongyu Pan, Jun Zhu, Yu-Huan Wu, Xin Zhan, Kun Jiang, Diange Yang

In this paper, we propose a novel Spatial-Temporal Integrated network with Bidirectional Enhancement, BE-STI, to improve the temporal motion prediction performance by spatial semantic features, which points out an efficient way to combine semantic segmentation and motion prediction.

Autonomous Driving motion prediction +1

P2T: Pyramid Pooling Transformer for Scene Understanding

4 code implementations22 Jun 2021 Yu-Huan Wu, Yun Liu, Xin Zhan, Ming-Ming Cheng

A popular solution to this problem is to use a single pooling operation to reduce the sequence length.

Ranked #4 on RGB Salient Object Detection on DUTS-TE (max F-measure metric)

Image Classification Instance Segmentation +5

Vision Transformers with Hierarchical Attention

3 code implementations6 Jun 2021 Yun Liu, Yu-Huan Wu, Guolei Sun, Le Zhang, Ajad Chhatkuli, Luc van Gool

This paper tackles the high computational/space complexity associated with Multi-Head Self-Attention (MHSA) in vanilla vision transformers.

Image Classification Instance Segmentation +4

MobileSal: Extremely Efficient RGB-D Salient Object Detection

1 code implementation24 Dec 2020 Yu-Huan Wu, Yun Liu, Jun Xu, Jia-Wang Bian, Yu-Chao Gu, Ming-Ming Cheng

Therefore, we propose an implicit depth restoration (IDR) technique to strengthen the mobile networks' feature representation capability for RGB-D SOD.

Object object-detection +2

EDN: Salient Object Detection via Extremely-Downsampled Network

1 code implementation24 Dec 2020 Yu-Huan Wu, Yun Liu, Le Zhang, Ming-Ming Cheng, Bo Ren

In this paper, we tap into this gap and show that enhancing high- level features is essential for SOD as well.

Object object-detection +3

Regularized Densely-connected Pyramid Network for Salient Instance Segmentation

1 code implementation28 Aug 2020 Yu-Huan Wu, Yun Liu, Le Zhang, Wang Gao, Ming-Ming Cheng

Much of the recent efforts on salient object detection (SOD) have been devoted to producing accurate saliency maps without being aware of their instance labels.

Instance Segmentation object-detection +3

JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation

1 code implementation15 Apr 2020 Yu-Huan Wu, Shang-Hua Gao, Jie Mei, Jun Xu, Deng-Ping Fan, Rong-Guo Zhang, Ming-Ming Cheng

The chest CT scan test provides a valuable complementary tool to the RT-PCR test, and it can identify the patients in the early-stage with high sensitivity.

COVID-19 Diagnosis General Classification +2

An Evaluation of Feature Matchers for Fundamental Matrix Estimation

no code implementations26 Aug 2019 Jia-Wang Bian, Yu-Huan Wu, Ji Zhao, Yun Liu, Le Zhang, Ming-Ming Cheng, Ian Reid

According to this, we propose three high-quality matching systems and a Coarse-to-Fine RANSAC estimator.

Scoot: A Perceptual Metric for Facial Sketches

1 code implementation ICCV 2019 Deng-Ping Fan, Shengchuan Zhang, Yu-Huan Wu, Yun Liu, Ming-Ming Cheng, Bo Ren, Paul L. Rosin, Rongrong Ji

In this paper, we design a perceptual metric, called Structure Co-Occurrence Texture (Scoot), which simultaneously considers the block-level spatial structure and co-occurrence texture statistics.

Face Sketch Synthesis SSIM

Face Sketch Synthesis Style Similarity:A New Structure Co-occurrence Texture Measure

1 code implementation9 Apr 2018 Deng-Ping Fan, Shengchuan Zhang, Yu-Huan Wu, Ming-Ming Cheng, Bo Ren, Rongrong Ji, Paul L. Rosin

However, human perception of the similarity of two sketches will consider both structure and texture as essential factors and is not sensitive to slight ("pixel-level") mismatches.

Face Sketch Synthesis

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