no code implementations • 15 Mar 2024 • Tianrui Huang, Pu Cao, Lu Yang, Chun Liu, Mengjie Hu, Zhiwei Liu, Qing Song
Diffusion-based image editing is a composite process of preserving the source image content and generating new content or applying modifications.
1 code implementation • 7 Mar 2024 • Pu Cao, Feng Zhou, Qing Song, Lu Yang
In the rapidly advancing realm of visual generation, diffusion models have revolutionized the landscape, marking a significant shift in capabilities with their impressive text-guided generative functions.
1 code implementation • 13 Dec 2023 • Pu Cao, Lu Yang, Feng Zhou, Tianrui Huang, Qing Song
In this work, we present the task of customizing large-scale diffusion priors for specific concepts as concept-centric personalization.
no code implementations • 24 Aug 2023 • Chenyue Jiao, Chongke Bi, Lu Yang
To address these problems, this paper proposes a Feature-Enhanced Implicit Neural Representation (FFEINR) for spatio-temporal super-resolution of flow field data.
no code implementations • 17 Aug 2023 • Lu Yang, Zhenglun Kong, Ting Li, Xinyi Bai, Zhiye Lin, Hong Cheng
Traditional image stitching focuses on a single panorama frame without considering the spatial-temporal consistency in videos.
no code implementations • 18 Jul 2023 • ShiXiong Zhang, Jiao Li, Lu Yang
Image synthesis has attracted emerging research interests in academic and industry communities.
no code implementations • ICCV 2023 • Lu Yang, Liulei Li, Xueshi Xin, Yifan Sun, Qing Song, Wenguan Wang
Instead of existing efforts devoted to localizing tourist photos captured by perspective cameras, in this article, we focus on devising person positioning solutions using overhead fisheye cameras.
no code implementations • 12 Jul 2023 • Xinyi Bai, Ze Wang, Lu Yang, Hong Cheng
The virtual viewpoint is perceived as a new technique in virtual navigation, as yet not supported due to the lack of depth information and obscure camera parameters.
no code implementations • 27 Feb 2023 • Lu Yang, Seyit Camtepe, Yansong Gao, Vicky Liu, Dhammika Jayalath
The resulting radio frequency fingerprints (RFFs) are distorted, leading to low device detection and classification accuracy.
2 code implementations • 28 Jan 2023 • Pu Cao, Lu Yang, Dongxv Liu, Xiaoya Yang, Tianrui Huang, Qing Song
To tackle this problem, we introduce Domain-Specific Hybrid Refinement (DHR), which draws on the advantages and disadvantages of two mainstream refinement techniques to maintain editing ability with fidelity improvement.
1 code implementation • 24 Jan 2023 • Lu Yang, Xiuwen Sun, Boumediene Hamzi, Houman Owhadi, Naiming Xie
In this paper, we introduce the method of \emph{Sparse Kernel Flows } in order to learn the ``best'' kernel by starting from a large dictionary of kernels.
2 code implementations • 1 Jan 2023 • Lu Yang, Wenhe Jia, Shan Li, Qing Song
Human parsing aims to partition humans in image or video into multiple pixel-level semantic parts.
1 code implementation • 17 Oct 2022 • Wenhe Jia, Lu Yang, Zilong Jia, Wenyi Zhao, Yilin Zhou, Qing Song
More importantly, as the fundamental model abilities demanded by the task, spatial segmentation and temporal association are still understudied in both evaluation and interaction mechanisms.
1 code implementation • 26 Sep 2022 • Pu Cao, Lu Yang, Dongxu Liu, Zhiwei Liu, Shan Li, Qing Song
In this work, we first point out that these two characteristics are related to the degree of alignment (or disalignment) of the inverse codes with the synthetic distribution.
no code implementations • 2 Sep 2022 • Dandan Jiang, Han Hao, Lu Yang, Rui Wang
Instead, fast eigenvalue estimations can be realized based on the spike approximations in our TOSE algorithm.
1 code implementation • 23 Aug 2022 • Lu Yang, Sheng Wang, Russ B. Altman
We describe a method for phenotype recognition that imputes phenotype codes for all UK Biobank participants.
no code implementations • 27 May 2022 • Lu Yang, He Jiang, Qing Song, Jun Guo
Data quality directly dominates the effect of deep learning models, and the long-tailed distribution is one of the factors affecting data quality.
1 code implementation • 27 Mar 2022 • Liulei Li, Tianfei Zhou, Wenguan Wang, Lu Yang, Jianwu Li, Yi Yang
Our target is to learn visual correspondence from unlabeled videos.
no code implementations • 6 Jan 2022 • Lu Yang, Lingqiao Liu, Yunlong Wang, Peng Wang, Yanning Zhang
Our discovery is that training with such an adaptive model can better benefit from more training samples.
no code implementations • CVPR 2022 • Liulei Li, Tianfei Zhou, Wenguan Wang, Lu Yang, Jianwu Li, Yi Yang
Our target is to learn visual correspondence from unlabeled videos.
no code implementations • 24 Dec 2021 • Zhiwei Liu, Xiangyu Zhu, Lu Yang, Xiang Yan, Ming Tang, Zhen Lei, Guibo Zhu, Xuetao Feng, Yan Wang, Jinqiao Wang
In the second stage, we design a mesh refinement transformer (MRT) to respectively refine each coarse reconstruction result via a self-attention mechanism.
Ranked #64 on 3D Human Pose Estimation on 3DPW (MPJPE metric)
1 code implementation • 14 Jun 2021 • Lu Yang, Qing Song, Xueshi Xin, Wenhe Jia, Zhiwei Liu
This is a very short technical report, which introduces the solution of the Team BUPT-CASIA for Short-video Face Parsing Track of The 3rd Person in Context (PIC) Workshop and Challenge at CVPR 2021.
no code implementations • 30 Apr 2021 • Lu Yang, Yunlong Wang, Lingqiao Liu, Peng Wang, Lu Chi, Zehuan Yuan, Changhu Wang, Yanning Zhang
In this paper, we propose a new loss based on center predictivity, that is, a sample must be positioned in a location of the feature space such that from it we can roughly predict the location of the center of same-class samples.
1 code implementation • 10 Mar 2021 • Lu Yang, Qing Song, Zhihui Wang, Zhiwei Liu, Songcen Xu, Zhihao LI
How to estimate the quality of the network output is an important issue, and currently there is no effective solution in the field of human parsing.
no code implementations • 9 Mar 2021 • Lu Yang, Hongbang Liu, Jinghao Zhou, Lingqiao Liu, Lei Zhang, Peng Wang, Yanning Zhang
Learning cross-view consistent feature representation is the key for accurate vehicle Re-identification (ReID), since the visual appearance of vehicles changes significantly under different viewpoints.
no code implementations • 9 Mar 2021 • Bingliang Jiao, Xin Tan, Jinghao Zhou, Lu Yang, Yunlong Wang, Peng Wang
The proposed model is composed of three main branches where a self-guided dynamic branch is constructed to strengthen instance-specific features, focusing on every single image.
no code implementations • 4 Mar 2021 • Jia-Xing Zhang, Lu Yang, Shuang Liang, Wei Chen, Qiang-Hua Wang
We study the possibility to realize Majorana zero mode that's robust and may be easily manipulated for braiding in quantum computing in the ground state of the Kitaev model in this work.
Strongly Correlated Electrons
1 code implementation • ECCV 2020 • Lu Yang, Qing Song, Zhihui Wang, Mengjie Hu, Chun Liu, Xueshi Xin, Wenhe Jia, Songcen Xu
Multiple human parsing aims to segment various human parts and associate each part with the corresponding instance simultaneously.
1 code implementation • 7 Mar 2020 • Bin Zhu, Qing Song, Lu Yang, Zhihui Wang, Chun Liu, Mengjie Hu
In object detection, offset-guided and point-guided regression dominate anchor-based and anchor-free method separately.
no code implementations • 30 Jan 2020 • Liang Zhang, Yufei Liu, Hang Xiao, Lu Yang, Guangming Zhu, Syed Afaq Shah, Mohammed Bennamoun, Peiyi Shen
Scene text detection has received attention for years and achieved an impressive performance across various benchmarks.
no code implementations • 19 Oct 2019 • Lu Yang, Yansong Gao, Junqing Zhang, Seyit Camtepe, Dhammika Jayalath
Unfortunately, there is no experimental validation for communications environments when there are large-scale and small-scale fading effects.
1 code implementation • 2 Apr 2019 • Lu Yang, Fan Dang, Peng Wang, Hui Li, Zhen Li, Yanning Zhang
In this work, we propose a simple yet strong approach for scene text recognition.
no code implementations • ICCV 2019 • Peng Wang, Bingliang Jiao, Lu Yang, Yifei Yang, Shizhou Zhang, Wei Wei, Yanning Zhang
It is capable of explicitly detecting discriminative parts for each specific vehicle and significantly outperforms the evaluated baselines and state-of-the-art vehicle ReID approaches.
2 code implementations • 19 Feb 2019 • Xiaojie Li, Lu Yang, Qing Song, Fuqiang Zhou
In particular, we adopt a region-based object detection structure with two carefully designed detectors to separately pay attention to the human body and body parts in a coarse-to-fine manner, which we call Detector-in-Detector network (DID-Net).
2 code implementations • CVPR 2019 • Lu Yang, Qing Song, Zhihui Wang, Ming Jiang
Models need to distinguish different human instances in the image panel and learn rich features to represent the details of each instance.
Ranked #1 on Pose Estimation on DensePose-COCO
no code implementations • 29 Nov 2018 • Qing Song, Yingqi Wu, Lu Yang
So, it is important to study how face recognition networks are subject to attacks.
3 code implementations • 4 Dec 2017 • Zuoxin Li, Lu Yang, Fuqiang Zhou
SSD (Single Shot Multibox Detector) is one of the best object detection algorithms with both high accuracy and fast speed.
7 code implementations • 20 Nov 2015 • Yong-Deok Kim, Eunhyeok Park, Sungjoo Yoo, Taelim Choi, Lu Yang, Dongjun Shin
Although the latest high-end smartphone has powerful CPU and GPU, running deeper convolutional neural networks (CNNs) for complex tasks such as ImageNet classification on mobile devices is challenging.