Search Results for author: Yung-Yu Chuang

Found 28 papers, 16 papers with code

Image-Text Co-Decomposition for Text-Supervised Semantic Segmentation

no code implementations5 Apr 2024 Ji-Jia Wu, Andy Chia-Hao Chang, Chieh-Yu Chuang, Chun-Pei Chen, Yu-Lun Liu, Min-Hung Chen, Hou-Ning Hu, Yung-Yu Chuang, Yen-Yu Lin

This paper addresses text-supervised semantic segmentation, aiming to learn a model capable of segmenting arbitrary visual concepts within images by using only image-text pairs without dense annotations.

Contrastive Learning Language Modelling +3

CTGAN: Semantic-guided Conditional Texture Generator for 3D Shapes

no code implementations8 Feb 2024 Yi-Ting Pan, Chai-Rong Lee, Shu-Ho Fan, Jheng-Wei Su, Jia-Bin Huang, Yung-Yu Chuang, Hung-Kuo Chu

The entertainment industry relies on 3D visual content to create immersive experiences, but traditional methods for creating textured 3D models can be time-consuming and subjective.

Image Generation Texture Synthesis

2D-3D Interlaced Transformer for Point Cloud Segmentation with Scene-Level Supervision

no code implementations ICCV 2023 Cheng-Kun Yang, Min-Hung Chen, Yung-Yu Chuang, Yen-Yu Lin

Considering the high annotation cost of point clouds, effective 2D and 3D feature fusion based on weakly supervised learning is in great demand.

Point Cloud Segmentation Segmentation +1

Robust Dynamic Radiance Fields

1 code implementation CVPR 2023 Yu-Lun Liu, Chen Gao, Andreas Meuleman, Hung-Yu Tseng, Ayush Saraf, Changil Kim, Yung-Yu Chuang, Johannes Kopf, Jia-Bin Huang

Dynamic radiance field reconstruction methods aim to model the time-varying structure and appearance of a dynamic scene.

Physically Plausible Animation of Human Upper Body from a Single Image

no code implementations9 Dec 2022 Ziyuan Huang, Zhengping Zhou, Yung-Yu Chuang, Jiajun Wu, C. Karen Liu

We present a new method for generating controllable, dynamically responsive, and photorealistic human animations.

NeighborTrack: Improving Single Object Tracking by Bipartite Matching with Neighbor Tracklets

1 code implementation12 Nov 2022 Yu-Hsi Chen, Chien-Yao Wang, Cheng-Yun Yang, Hung-Shuo Chang, Youn-Long Lin, Yung-Yu Chuang, Hong-Yuan Mark Liao

Our proposed NeighborTrack takes advantage of unoccluded neighbors' information to reconfirm the tracking target and reduces false tracking when the target is occluded.

Object Visual Object Tracking

SearchTrack: Multiple Object Tracking with Object-Customized Search and Motion-Aware Features

1 code implementation29 Oct 2022 Zhong-Min Tsai, Yu-Ju Tsai, Chien-Yao Wang, Hong-Yuan Liao, Youn-Long Lin, Yung-Yu Chuang

For each object, a customized fully convolutional search engine is created by SearchTrack by learning a set of weights for dynamic convolutions specific to the object.

Multiple Object Tracking Object

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 Object

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

Shadow Removal of Text Document Images by Estimating Local and Global Background Colors

1 code implementation ICASSP 2020 Jian-Ren Wang, Yung-Yu Chuang

Assuming that the document mainly contains texts, our method estimates the global and local background colors using statistical analysis of the whole image and local neighborhoods.

Shadow Removal

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 +2

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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