Search Results for author: Lei Luo

Found 28 papers, 8 papers with code

Adversarial Nonnegative Matrix Factorization

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.

Bilevel Optimization

UnSAMFlow: Unsupervised Optical Flow Guided by Segment Anything Model

1 code implementation4 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.

Object Optical Flow Estimation

Diff-Reg v1: Diffusion Matching Model for Registration Problem

no code implementations29 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.


Training Neural Networks on RAW and HDR Images for Restoration Tasks

1 code implementation6 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.

Deblurring Denoising +2

SGNet: Salient Geometric Network for Point Cloud Registration

no code implementations12 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.

Point Cloud Registration

Urban GeoBIM construction by integrating semantic LiDAR point clouds with as-designed BIM models

no code implementations23 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.

Point Cloud Segmentation Segmentation

AnyFlow: Arbitrary Scale Optical Flow with Implicit Neural Representation

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.

Optical Flow Estimation

Curriculum Temperature for Knowledge Distillation

1 code implementation29 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.

Image Classification Knowledge Distillation

Denoising Multi-Similarity Formulation: A Self-paced Curriculum-Driven Approach for Robust Metric Learning

no code implementations19 Nov 2022 Chenkang Zhang, Lei Luo, Bin Gu

To efficiently solve this nonconvex quadratic problem, we propose a doubly stochastic projection coordinate gradient algorithm.

Denoising Metric Learning

Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Report

2 code implementations7 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.

Image Super-Resolution

Sampling Through the Lens of Sequential Decision Making

no code implementations17 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.

Decision Making Information Retrieval +3

Open Source MagicData-RAMC: A Rich Annotated Mandarin Conversational(RAMC) Speech Dataset

no code implementations31 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

Efficient divide-and-conquer registration of UAV and ground LiDAR point clouds through canopy shape context

no code implementations27 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.

Noise Is Also Useful: Negative Correlation-Steered Latent Contrastive Learning

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.

Contrastive Learning

Adaptive Hierarchical Similarity Metric Learning with Noisy Labels

no code implementations29 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.

Learning with noisy labels Metric Learning

Unsupervised Hyperbolic Metric Learning

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.

Anatomy Metric Learning

Multi-object Tracking with a Hierarchical Single-branch Network

no code implementations6 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.

Multi-Object Tracking Multiple Object Tracking +4

Learning Better Visual Data Similarities via New Grouplet Non-Euclidean Embedding

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.

Metric Learning

Shape-aware Generative Adversarial Networks for Attribute Transfer

no code implementations11 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.

Attribute Image-to-Image Translation +2

Curvilinear Distance Metric Learning

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.

Metric Learning

Bilevel Distance Metric Learning for Robust Image Recognition

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.

Metric Learning

Hate Speech Detection: A Solved Problem? The Challenging Case of Long Tail on Twitter

1 code implementation27 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.

Hate Speech Detection

A Computational Model of the Short-Cut Rule for 2D Shape Decomposition

no code implementations7 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.

Nuclear Norm based Matrix Regression with Applications to Face Recognition with Occlusion and Illumination Changes

no code implementations6 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.

Face Recognition regression

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