no code implementations • ICML 2020 • lei luo, yanfu Zhang, Heng Huang
Nonnegative Matrix Factorization (NMF) has become an increasingly important research topic in machine learning.
1 code implementation • 4 May 2024 • Shuai Yuan, Lei Luo, Zhuo Hui, Can Pu, Xiaoyu Xiang, Rakesh Ranjan, Denis Demandolx
Traditional unsupervised optical flow methods are vulnerable to occlusions and motion boundaries due to lack of object-level information.
1 code implementation • 21 Apr 2024 • Jie Shao, Wei Yao, Lei Luo, Linzhou Zeng, Zhiyi He, Puzuo Wang, Huadong Guo
Greenspaces are tightly linked to human well-being.
no code implementations • 29 Mar 2024 • Qianliang Wu, Haobo Jiang, Lei Luo, Jun Li, Yaqing Ding, Jin Xie, Jian Yang
Establishing reliable correspondences is essential for registration tasks such as 3D and 2D3D registration.
no code implementations • 31 Dec 2023 • Qianliang Wu, Haobo Jiang, Yaqing Ding, Lei Luo, Jin Xie, Jian Yang
They typically compute candidate correspondences based on distances in the point feature space.
1 code implementation • 6 Dec 2023 • Lei Luo, ALEXANDRE CHAPIRO, Xiaoyu Xiang, Yuchen Fan, Rakesh Ranjan, Rafal Mantiuk
Our results indicate that neural networks train significantly better on HDR and RAW images represented in display-encoded color spaces, which offer better perceptual uniformity than linear spaces.
no code implementations • 12 Sep 2023 • Qianliang Wu, Yaqing Ding, Lei Luo, Shuo Gu, Chuanwei Zhou, Jin Xie, Jian Yang
These high-order features are then propagated to dense points and utilized by a Sinkhorn matching module to identify key correspondences for successful registration.
no code implementations • 23 Apr 2023 • Jie Shao, Wei Yao, Puzuo Wang, Zhiyi He, Lei Luo
In this paper, we propose a complementary strategy that integrates LiDAR point clouds with as-designed BIM models for reconstructing urban scenes.
no code implementations • CVPR 2023 • Hyunyoung Jung, Zhuo Hui, Lei Luo, Haitao Yang, Feng Liu, Sungjoo Yoo, Rakesh Ranjan, Denis Demandolx
To apply optical flow in practice, it is often necessary to resize the input to smaller dimensions in order to reduce computational costs.
no code implementations • 12 Feb 2023 • Qianliang Wu, Yaqi Shen, Haobo Jiang, Guofeng Mei, Yaqing Ding, Lei Luo, Jin Xie, Jian Yang
Point Cloud Registration is a fundamental and challenging problem in 3D computer vision.
1 code implementation • 29 Nov 2022 • Zheng Li, Xiang Li, Lingfeng Yang, Borui Zhao, RenJie Song, Lei Luo, Jun Li, Jian Yang
In this paper, we propose a simple curriculum-based technique, termed Curriculum Temperature for Knowledge Distillation (CTKD), which controls the task difficulty level during the student's learning career through a dynamic and learnable temperature.
no code implementations • 19 Nov 2022 • Chenkang Zhang, Lei Luo, Bin Gu
To efficiently solve this nonconvex quadratic problem, we propose a doubly stochastic projection coordinate gradient algorithm.
2 code implementations • 7 Nov 2022 • Andrey Ignatov, Radu Timofte, Maurizio Denna, Abdel Younes, Ganzorig Gankhuyag, Jingang Huh, Myeong Kyun Kim, Kihwan Yoon, Hyeon-Cheol Moon, Seungho Lee, Yoonsik Choe, Jinwoo Jeong, Sungjei Kim, Maciej Smyl, Tomasz Latkowski, Pawel Kubik, Michal Sokolski, Yujie Ma, Jiahao Chao, Zhou Zhou, Hongfan Gao, Zhengfeng Yang, Zhenbing Zeng, Zhengyang Zhuge, Chenghua Li, Dan Zhu, Mengdi Sun, Ran Duan, Yan Gao, Lingshun Kong, Long Sun, Xiang Li, Xingdong Zhang, Jiawei Zhang, Yaqi Wu, Jinshan Pan, Gaocheng Yu, Jin Zhang, Feng Zhang, Zhe Ma, Hongbin Wang, Hojin Cho, Steve Kim, Huaen Li, Yanbo Ma, Ziwei Luo, Youwei Li, Lei Yu, Zhihong Wen, Qi Wu, Haoqiang Fan, Shuaicheng Liu, Lize Zhang, Zhikai Zong, Jeremy Kwon, Junxi Zhang, Mengyuan Li, Nianxiang Fu, Guanchen Ding, Han Zhu, Zhenzhong Chen, Gen Li, Yuanfan Zhang, Lei Sun, Dafeng Zhang, Neo Yang, Fitz Liu, Jerry Zhao, Mustafa Ayazoglu, Bahri Batuhan Bilecen, Shota Hirose, Kasidis Arunruangsirilert, Luo Ao, Ho Chun Leung, Andrew Wei, Jie Liu, Qiang Liu, Dahai Yu, Ao Li, Lei Luo, Ce Zhu, Seongmin Hong, Dongwon Park, Joonhee Lee, Byeong Hyun Lee, Seunggyu Lee, Se Young Chun, Ruiyuan He, Xuhao Jiang, Haihang Ruan, Xinjian Zhang, Jing Liu, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He
While numerous solutions have been proposed for this problem in the past, they are usually not compatible with low-power mobile NPUs having many computational and memory constraints.
no code implementations • 17 Aug 2022 • Jason Xiaotian Dou, Alvin Qingkai Pan, Runxue Bao, Haiyi Harry Mao, Lei Luo, Zhi-Hong Mao
Due to the growth of large datasets and model complexity, we want to learn and adapt the sampling process while training a representation.
no code implementations • 31 Mar 2022 • Zehui Yang, Yifan Chen, Lei Luo, Runyan Yang, Lingxuan Ye, Gaofeng Cheng, Ji Xu, Yaohui Jin, Qingqing Zhang, Pengyuan Zhang, Lei Xie, Yonghong Yan
As a Mandarin speech dataset designed for dialog scenarios with high quality and rich annotations, MagicData-RAMC enriches the data diversity in the Mandarin speech community and allows extensive research on a series of speech-related tasks, including automatic speech recognition, speaker diarization, topic detection, keyword search, text-to-speech, etc.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +3
no code implementations • 27 Jan 2022 • Jie Shao, Wei Yao, Peng Wan, Lei Luo, Jiaxin Lyu, Wuming Zhang
Finally, we implement coarse alignment of ULS and ground LiDAR datasets by combining the results of ground alignment and image matching and finish fine registration.
no code implementations • CVPR 2022 • Jiexi Yan, Lei Luo, Chenghao Xu, Cheng Deng, Heng Huang
While in metric space, we utilize weakly-supervised contrastive learning to excavate these negative correlations hidden in noisy data.
no code implementations • 29 Oct 2021 • Jiexi Yan, Lei Luo, Cheng Deng, Heng Huang
Since these noisy labels often cause severe performance degradation, it is crucial to enhance the robustness and generalization ability of DML.
no code implementations • CVPR 2021 • Jiexi Yan, Lei Luo, Cheng Deng, Heng Huang
Learning feature embedding directly from images without any human supervision is a very challenging and essential task in the field of computer vision and machine learning.
no code implementations • 6 Jan 2021 • Fan Wang, Lei Luo, En Zhu, Siwei Wang, Jun Long
Recent Multiple Object Tracking (MOT) methods have gradually attempted to integrate object detection and instance re-identification (Re-ID) into a united network to form a one-stage solution.
no code implementations • ICCV 2021 • yanfu Zhang, Lei Luo, Wenhan Xian, Heng Huang
However, pair-wise methods involve expensive training costs, while proxy-based methods are less accurate in characterizing the relationships between data points.
no code implementations • 11 Oct 2020 • Lei Luo, William Hsu, Shangxian Wang
Generative adversarial networks (GANs) have been successfully applied to transfer visual attributes in many domains, including that of human face images.
1 code implementation • 16 Dec 2019 • Huichen Yang, Carlos A. Aguirre, Maria F. De La Torre, Derek Christensen, Luis Bobadilla, Emily Davich, Jordan Roth, Lei Luo, Yihong Theis, Alice Lam, T. Yong-Jin Han, David Buttler, William H. Hsu
This system meets computational information and knowledge management (CIKM) requirements of metadata-driven payload extraction, named entity extraction, and relationship extraction from text.
1 code implementation • NeurIPS 2019 • Shuo Chen, Lei Luo, Jian Yang, Chen Gong, Jun Li, Heng Huang
To address this issue, we first reveal that the traditional linear distance metric is equivalent to the cumulative arc length between the data pair's nearest points on the learned straight measurer lines.
no code implementations • NeurIPS 2018 • Jie Xu, Lei Luo, Cheng Deng, Heng Huang
Metric learning, aiming to learn a discriminative Mahalanobis distance matrix M that can effectively reflect the similarity between data samples, has been widely studied in various image recognition problems.
1 code implementation • 27 Feb 2018 • Ziqi Zhang, Lei Luo
Our methods are evaluated on the largest collection of hate speech datasets based on Twitter, and are shown to be able to outperform the best performing method by up to 5 percentage points in macro-average F1, or 8 percentage points in the more challenging case of identifying hateful content.
no code implementations • 7 Sep 2014 • Lei Luo, Chunhua Shen, Xinwang Liu, Chunyuan Zhang
We propose and implement a computational model for the short-cut rule and apply it to the problem of shape decomposition.
no code implementations • 6 May 2014 • Jian Yang, Jianjun Qian, Lei Luo, Fanlong Zhang, Yicheng Gao
Compared with the current regression methods, the proposed Nuclear Norm based Matrix Regression (NMR) model is more robust for alleviating the effect of illumination, and more intuitive and powerful for removing the structural noise caused by occlusion.