no code implementations • 5 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.
no code implementations • 8 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.
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.
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.
no code implementations • 9 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.
1 code implementation • 12 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.
Ranked #1 on Visual Object Tracking on UAV123
1 code implementation • 29 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.
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.
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.
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.
1 code implementation • 11 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.
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.
no code implementations • 20 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.
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.
1 code implementation • CVPR 2020 • Yu-Lun Liu, Wei-Sheng Lai, Yu-Sheng Chen, Yi-Lung Kao, Ming-Hsuan Yang, Yung-Yu Chuang, Jia-Bin Huang
We model the HDRto-LDR image formation pipeline as the (1) dynamic range clipping, (2) non-linear mapping from a camera response function, and (3) quantization.
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.
1 code implementation • AAAI 2020 : The Thirty-Fourth AAAI Conference on Artificial Intelligence 2020 • Yu-Ju Tsai, Yu-Lun Liu, Ming Ouhyoung, Yung-Yu Chuang
This paper introduces a novel deep network for estimating depth maps from a light field image.
Ranked #1 on Depth Estimation on 4D Light Field Dataset
1 code implementation • NeurIPS 2019 • Cheng-Chun Hsu, Kuang-Jui Hsu, Chung-Chi Tsai, Yen-Yu Lin, Yung-Yu Chuang
This paper presents a weakly supervised instance segmentation method that consumes training data with tight bounding box annotations.
Box-supervised Instance Segmentation Multiple Instance Learning +4
no code implementations • 11 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.
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).
1 code implementation • CVPR 2018 • Yu-Sheng Chen, Yu-Ching Wang, Man-Hsin Kao, Yung-Yu Chuang
First, we augment the U-Net with global features and show that it is more effective.
no code implementations • 11 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.
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.
1 code implementation • CVPR 2017 • Ya-Fang Shih, Yang-Ming Yeh, Yen-Yu Lin, Ming-Fang Weng, Yi-Chang Lu, Yung-Yu Chuang
We tackle the three issues by introducing a new network layer, called co-occurrence layer.
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.
no code implementations • CVPR 2015 • Wei-Sheng Lai, Jian-Jiun Ding, Yen-Yu Lin, Yung-Yu Chuang
The intermediate patches can then guide the estimation of the blur kernel.
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.
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.