no code implementations • 23 Aug 2023 • Yeongnam Chae, Poulami Raha, Mijung Kim, Bjorn Stenger
This paper presents a novel approach for accurately estimating age from face images, which overcomes the challenge of collecting a large dataset of individuals with the same identity at different ages.
1 code implementation • 27 Jul 2023 • Tao Wang, Kaihao Zhang, Ziqian Shao, Wenhan Luo, Bjorn Stenger, Tae-Kyun Kim, Wei Liu, Hongdong Li
In this paper, we address this limitation by proposing a degradation-aware learning scheme for LLIE using diffusion models, which effectively integrates degradation and image priors into the diffusion process, resulting in improved image enhancement.
1 code implementation • 29 May 2023 • Tao Wang, Kaihao Zhang, Ziqian Shao, Wenhan Luo, Bjorn Stenger, Tong Lu, Tae-Kyun Kim, Wei Liu, Hongdong Li
Second, we introduce a residual dense transformer block (RDTB) as the final GridFormer layer.
1 code implementation • 22 Dec 2022 • Tao Wang, Kaihao Zhang, Tianrun Shen, Wenhan Luo, Bjorn Stenger, Tong Lu
In this paper, we consider the task of low-light image enhancement (LLIE) and introduce a large-scale database consisting of images at 4K and 8K resolution.
no code implementations • 14 Feb 2022 • Tianyu Li, Ali Cevahir, Derek Cho, Hao Gong, DuyKhuong Nguyen, Bjorn Stenger
This paper extends the BERT model to e-commerce user data for pre-training representations in a self-supervised manner.
no code implementations • 26 Jan 2022 • Kaihao Zhang, Wenqi Ren, Wenhan Luo, Wei-Sheng Lai, Bjorn Stenger, Ming-Hsuan Yang, Hongdong Li
Image deblurring is a classic problem in low-level computer vision with the aim to recover a sharp image from a blurred input image.
2 code implementations • 1 Dec 2021 • Kaihao Zhang, Tao Wang, Wenhan Luo, Boheng Chen, Wenqi Ren, Bjorn Stenger, Wei Liu, Hongdong Li, Ming-Hsuan Yang
Blur artifacts can seriously degrade the visual quality of images, and numerous deblurring methods have been proposed for specific scenarios.
no code implementations • CVPR 2021 • Geethu Miriam Jacob, Bjorn Stenger
The Facial Action Coding System is a taxonomy for fine-grained facial expression analysis.
no code implementations • ICCV 2021 • Kaihao Zhang, Dongxu Li, Wenhan Luo, Wenqi Ren, Bjorn Stenger, Wei Liu, Hongdong Li, Ming-Hsuan Yang
Increasingly, modern mobile devices allow capturing images at Ultra-High-Definition (UHD) resolution, which includes 4K and 8K images.
no code implementations • 1 Jan 2021 • Tianyu Li, Ali Cevahir, Derek Cho, Hao Gong, DuyKhuong Nguyen, Bjorn Stenger
This paper extends the BERT model to user data for pretraining user representations in a self-supervised way.
1 code implementation • CVPR 2020 • Kaihao Zhang, Wenhan Luo, Yiran Zhong, Lin Ma, Bjorn Stenger, Wei Liu, Hongdong Li
To address this problem, we propose a new method which combines two GAN models, i. e., a learning-to-Blur GAN (BGAN) and learning-to-DeBlur GAN (DBGAN), in order to learn a better model for image deblurring by primarily learning how to blur images.
Ranked #23 on Deblurring on HIDE (trained on GOPRO)
1 code implementation • 15 Oct 2019 • Tianyu Li, Chien-Chih Wang, Yukun Ma, Patricia Ortal, Qifang Zhao, Bjorn Stenger, Yu Hirate
Existing algorithms aiming to learn a binary classifier from positive (P) and unlabeled (U) data generally require estimating the class prior or label noises ahead of building a classification model.
no code implementations • 17 Dec 2018 • Tianyu Li, Yukun Ma, Jiu Xu, Bjorn Stenger, Chen Liu, Yu Hirate
This paper leverages heterogeneous auxiliary information to address the data sparsity problem of recommender systems.
no code implementations • 18 Nov 2018 • Shanxin Yuan, Bjorn Stenger, Tae-Kyun Kim
We explore different ways of using this privileged information: (1) using depth data to initially train a depth-based network, (2) using the features from the depth-based network of the paired depth images to constrain mid-level RGB network weights, and (3) using the foreground mask, obtained from the depth data, to suppress the responses from the background area.
1 code implementation • CVPR 2018 • Shanxin Yuan, Guillermo Garcia-Hernando, Bjorn Stenger, Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee, Pavlo Molchanov, Jan Kautz, Sina Honari, Liuhao Ge, Junsong Yuan, Xinghao Chen, Guijin Wang, Fan Yang, Kai Akiyama, Yang Wu, Qingfu Wan, Meysam Madadi, Sergio Escalera, Shile Li, Dongheui Lee, Iason Oikonomidis, Antonis Argyros, Tae-Kyun Kim
Official Torch7 implementation of "V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map", CVPR 2018
Ranked #5 on Hand Pose Estimation on HANDS 2017
no code implementations • CVPR 2017 • Shanxin Yuan, Qi Ye, Bjorn Stenger, Siddhant Jain, Tae-Kyun Kim
We also show significant improvements in egocentric hand pose estimation with a CNN trained on the new dataset.
no code implementations • 29 Sep 2016 • Jiu Xu, Bjorn Stenger, Tommi Kerola, Tony Tung
This paper presents a method of estimating the geometry of a room and the 3D pose of objects from a single 360-degree panorama image.
no code implementations • CVPR 2014 • Frank Perbet, Sam Johnson, Minh-Tri Pham, Bjorn Stenger
This paper proposes a method for estimating the 3D body shape of a person with robustness to clothing.
no code implementations • CVPR 2014 • Wenhan Luo, Tae-Kyun Kim, Bjorn Stenger, Xiaowei Zhao, Roberto Cipolla
In this paper, we propose a label propagation framework to handle the multiple object tracking (MOT) problem for a generic object type (cf.
no code implementations • CVPR 2014 • Stephan Liwicki, Minh-Tri Pham, Stefanos Zafeiriou, Maja Pantic, Bjorn Stenger
In this paper we introduce a new distance for robustly matching vectors of 3D rotations.
no code implementations • CVPR 2013 • Robert Anderson, Bjorn Stenger, Vincent Wan, Roberto Cipolla
This paper presents a complete system for expressive visual text-to-speech (VTTS), which is capable of producing expressive output, in the form of a 'talking head', given an input text and a set of continuous expression weights.