Search Results for author: Yung-Yu Chuang

Found 20 papers, 12 papers with code

An MIL-Derived Transformer for Weakly Supervised Point Cloud Segmentation

no code implementations CVPR 2022 Cheng-Kun Yang, Ji-Jia Wu, Kai-Syun Chen, Yung-Yu Chuang, Yen-Yu Lin

We address weakly supervised point cloud segmentation by proposing a new model, MIL-derived transformer, to mine additional supervisory signals.

Model Optimization Multiple Instance Learning +1

Hybrid Neural Fusion for Full-frame Video Stabilization

2 code implementations ICCV 2021 Yu-Lun Liu, Wei-Sheng Lai, Ming-Hsuan Yang, Yung-Yu Chuang, Jia-Bin Huang

Existing video stabilization methods often generate visible distortion or require aggressive cropping of frame boundaries, resulting in smaller field of views.

Video Stabilization

Unsupervised Point Cloud Object Co-Segmentation by Co-Contrastive Learning and Mutual Attention Sampling

1 code implementation ICCV 2021 Cheng-Kun Yang, Yung-Yu Chuang, Yen-Yu Lin

We formulate this task as an object point sampling problem, and develop two techniques, the mutual attention module and co-contrastive learning, to enable it.

Contrastive Learning

Learning to See Through Obstructions with Layered Decomposition

1 code implementation11 Aug 2020 Yu-Lun Liu, Wei-Sheng Lai, Ming-Hsuan Yang, Yung-Yu Chuang, Jia-Bin Huang

We present a learning-based approach for removing unwanted obstructions, such as window reflections, fence occlusions, or adherent raindrops, from a short sequence of images captured by a moving camera.

Optical Flow Estimation

Domain-Specific Mappings for Generative Adversarial Style Transfer

1 code implementation ECCV 2020 Hsin-Yu Chang, Zhixiang Wang, Yung-Yu Chuang

For addressing this issue, this paper leverages domain-specific mappings for remapping latent features in the shared content space to domain-specific content spaces.

Image-to-Image Translation Style Transfer +1

Deep Exposure Fusion with Deghosting via Homography Estimation and Attention Learning

no code implementations20 Apr 2020 Sheng-Yeh Chen, Yung-Yu Chuang

Modern cameras have limited dynamic ranges and often produce images with saturated or dark regions using a single exposure.

Homography Estimation

Learning to See Through Obstructions

1 code implementation CVPR 2020 Yu-Lun Liu, Wei-Sheng Lai, Ming-Hsuan Yang, Yung-Yu Chuang, Jia-Bin Huang

We present a learning-based approach for removing unwanted obstructions, such as window reflections, fence occlusions or raindrops, from a short sequence of images captured by a moving camera.

Optical Flow Estimation Reflection Removal

Illumination-Adaptive Person Re-identification

no code implementations11 May 2019 Zelong Zeng, Zhixiang Wang, Zheng Wang, Yinqiang Zheng, Yung-Yu Chuang, Shin'ichi Satoh

To demonstrate the illumination issue and to evaluate our model, we construct two large-scale simulated datasets with a wide range of illumination variations.

Disentanglement Person Re-Identification +1

Unsupervised CNN-based Co-Saliency Detection with Graphical Optimization

no code implementations ECCV 2018 Kuang-Jui Hsu, Chung-Chi Tsai, Yen-Yu Lin, Xiaoning Qian, Yung-Yu Chuang

In this paper, we address co-saliency detection in a set of images jointly covering objects of a specific class by an unsupervised convolutional neural network (CNN).

Co-Salient Object Detection

Learning Deep Convolutional Networks for Demosaicing

no code implementations11 Feb 2018 Nai-Sheng Syu, Yu-Sheng Chen, Yung-Yu Chuang

The proposed models and the thorough experiments together demonstrate that CNN is an effective and versatile tool for solving the demosaicing problem.

Demosaicking Denoising

DeepCD: Learning Deep Complementary Descriptors for Patch Representations

1 code implementation ICCV 2017 Tsun-Yi Yang, Jo-Han Hsu, Yen-Yu Lin, Yung-Yu Chuang

This paper presents the DeepCD framework which learns a pair of complementary descriptors jointly for a patch by employing deep learning techniques.

Accumulated Stability Voting: A Robust Descriptor From Descriptors of Multiple Scales

1 code implementation CVPR 2016 Tsun-Yi Yang, Yen-Yu Lin, Yung-Yu Chuang

Experiments on popular benchmarks demonstrate the effectiveness of our descriptors and their superiority to the state-of-the-art descriptors.

Robust Image Alignment With Multiple Feature Descriptors and Matching-Guided Neighborhoods

no code implementations CVPR 2015 Kuang-Jui Hsu, Yen-Yu Lin, Yung-Yu Chuang

First, the performance of descriptor-based approaches to image alignment relies on the chosen descriptor, but the optimal descriptor typically varies from image to image, or even pixel to pixel.

Shape-Preserving Half-Projective Warps for Image Stitching

no code implementations CVPR 2014 Che-Han Chang, Yoichi Sato, Yung-Yu Chuang

It provides good alignment accuracy as projective warps while preserving the perspective of individual image as similarity warps.

Image Stitching

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