Search Results for author: Yuxi Li

Found 32 papers, 17 papers with code

Align, Perturb and Decouple: Toward Better Leverage of Difference Information for RSI Change Detection

1 code implementation30 May 2023 Supeng Wang, Yuxi Li, Ming Xie, Mingmin Chi, Yabiao Wang, Chengjie Wang, Wenbing Zhu

In this paper, we revisit the importance of feature difference for change detection in RSI, and propose a series of operations to fully exploit the difference information: Alignment, Perturbation and Decoupling (APD).

Change Detection

Hear to Segment: Unmixing the Audio to Guide the Semantic Segmentation

no code implementations12 May 2023 Yuhang Ling, Yuxi Li, Zhenye Gan, Jiangning Zhang, Mingmin Chi, Yabiao Wang

In this paper, we focus on a recently proposed novel task called Audio-Visual Segmentation (AVS), where the fine-grained correspondence between audio stream and image pixels is required to be established.

Scene Understanding Segmentation +1

Few-shot Action Recognition via Intra- and Inter-Video Information Maximization

no code implementations10 May 2023 Huabin Liu, Weiyao Lin, Tieyuan Chen, Yuxi Li, Shuyuan Li, John See

The alignment model performs temporal and spatial action alignment sequentially at the feature level, leading to more precise measurements of inter-video similarity.

Few-Shot action recognition Few Shot Action Recognition +2

Learning with Noisy labels via Self-supervised Adversarial Noisy Masking

1 code implementation CVPR 2023 Yuanpeng Tu, Boshen Zhang, Yuxi Li, Liang Liu, Jian Li, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Cai Rong Zhao

Collecting large-scale datasets is crucial for training deep models, annotating the data, however, inevitably yields noisy labels, which poses challenges to deep learning algorithms.

Ranked #2 on Image Classification on Clothing1M (using extra training data)

Learning with noisy labels

Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective

no code implementations2 Nov 2022 Jinxiang Lai, Siqian Yang, Guannan Jiang, Xi Wang, Yuxi Li, Zihui Jia, Xiaochen Chen, Jun Liu, Bin-Bin Gao, Wei zhang, Yuan Xie, Chengjie Wang

In this paper, for the first time, we investigate the contributions of different distance metrics, and propose an adaptive fusion scheme, bringing significant improvements in few-shot classification.

Few-Shot Learning

Learning from Noisy Labels with Coarse-to-Fine Sample Credibility Modeling

no code implementations23 Aug 2022 Boshen Zhang, Yuxi Li, Yuanpeng Tu, Jinlong Peng, Yabiao Wang, Cunlin Wu, Yang Xiao, Cairong Zhao

Specifically, for the clean set, we deliberately design a memory-based modulation scheme to dynamically adjust the contribution of each sample in terms of its historical credibility sequence during training, thus alleviating the effect from noisy samples incorrectly grouped into the clean set.

Denoising Image Classification

Learning Distinctive Margin toward Active Domain Adaptation

1 code implementation CVPR 2022 Ming Xie, Yuxi Li, Yabiao Wang, Zekun Luo, Zhenye Gan, Zhongyi Sun, Mingmin Chi, Chengjie Wang, Pei Wang

Despite plenty of efforts focusing on improving the domain adaptation ability (DA) under unsupervised or few-shot semi-supervised settings, recently the solution of active learning started to attract more attention due to its suitability in transferring model in a more practical way with limited annotation resource on target data.

Active Learning Domain Adaptation

Reinforcement Learning in Practice: Opportunities and Challenges

no code implementations23 Feb 2022 Yuxi Li

This article is a gentle discussion about the field of reinforcement learning in practice, about opportunities and challenges, touching a broad range of topics, with perspectives and without technical details.

Combinatorial Optimization Meta-Learning +3

Exploring the Semi-supervised Video Object Segmentation Problem from a Cyclic Perspective

1 code implementation2 Nov 2021 Yuxi Li, Ning Xu, Wenjie Yang, John See, Weiyao Lin

We conduct comprehensive comparison and detailed analysis on challenging benchmarks of DAVIS16, DAVIS17 and Youtube-VOS, demonstrating that the cyclic mechanism is helpful to enhance segmentation quality, improve the robustness of VOS systems, and further provide qualitative comparison and interpretation on how different VOS algorithms work.

Segmentation Semantic Segmentation +2

Robust Learning with Adaptive Sample Credibility Modeling

no code implementations29 Sep 2021 Boshen Zhang, Yuxi Li, Yuanpeng Tu, Yabiao Wang, Yang Xiao, Cai Rong Zhao, Chengjie Wang

For the clean set, we deliberately design a memory-based modulation scheme to dynamically adjust the contribution of each sample in terms of its historical credibility sequence during training, thus to alleviate the effect from potential hard noisy samples in clean set.


TA2N: Two-Stage Action Alignment Network for Few-shot Action Recognition

1 code implementation10 Jul 2021 Shuyuan Li, Huabin Liu, Rui Qian, Yuxi Li, John See, Mengjuan Fei, Xiaoyuan Yu, Weiyao Lin

The first stage locates the action by learning a temporal affine transform, which warps each video feature to its action duration while dismissing the action-irrelevant feature (e. g. background).

Few-Shot action recognition Few Shot Action Recognition +2

Variational Pedestrian Detection

no code implementations CVPR 2021 Yuang Zhang, Huanyu He, Jianguo Li, Yuxi Li, John See, Weiyao Lin

Pedestrian detection in a crowd is a challenging task due to a high number of mutually-occluding human instances, which brings ambiguity and optimization difficulties to the current IoU-based ground truth assignment procedure in classical object detection methods.

object-detection Object Detection +2

Finding Action Tubes with a Sparse-to-Dense Framework

no code implementations30 Aug 2020 Yuxi Li, Weiyao Lin, Tao Wang, John See, Rui Qian, Ning Xu, Li-Min Wang, Shugong Xu

The task of spatial-temporal action detection has attracted increasing attention among researchers.

Ranked #3 on Action Detection on UCF Sports (Video-mAP 0.2 metric)

Action Detection

CFAD: Coarse-to-Fine Action Detector for Spatiotemporal Action Localization

no code implementations ECCV 2020 Yuxi Li, Weiyao Lin, John See, Ning Xu, Shugong Xu, Ke Yan, Cong Yang

Most current pipelines for spatio-temporal action localization connect frame-wise or clip-wise detection results to generate action proposals, where only local information is exploited and the efficiency is hindered by dense per-frame localization.

Action Detection Spatio-Temporal Action Localization +1

Human in Events: A Large-Scale Benchmark for Human-centric Video Analysis in Complex Events

no code implementations9 May 2020 Weiyao Lin, Huabin Liu, Shizhan Liu, Yuxi Li, Rui Qian, Tao Wang, Ning Xu, Hongkai Xiong, Guo-Jun Qi, Nicu Sebe

To this end, we present a new large-scale dataset with comprehensive annotations, named Human-in-Events or HiEve (Human-centric video analysis in complex Events), for the understanding of human motions, poses, and actions in a variety of realistic events, especially in crowd & complex events.

Action Recognition Pose Estimation

TRP: Trained Rank Pruning for Efficient Deep Neural Networks

1 code implementation30 Apr 2020 Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong

The TRP trained network inherently has a low-rank structure, and is approximated with negligible performance loss, thus eliminating the fine-tuning process after low rank decomposition.

Trained Rank Pruning for Efficient Deep Neural Networks

1 code implementation9 Oct 2019 Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Wenrui Dai, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong

To accelerate DNNs inference, low-rank approximation has been widely adopted because of its solid theoretical rationale and efficient implementations.

Reinforcement Learning Applications

no code implementations19 Aug 2019 Yuxi Li

We start with a brief introduction to reinforcement learning (RL), about its successful stories, basics, an example, issues, the ICML 2019 Workshop on RL for Real Life, how to use it, study material and an outlook.

Recommendation Systems reinforcement-learning +1

Annotation-Free Cardiac Vessel Segmentation via Knowledge Transfer from Retinal Images

no code implementations26 Jul 2019 Fei Yu, Jie Zhao, Yanjun Gong, Zhi Wang, Yuxi Li, Fan Yang, Bin Dong, Quanzheng Li, Li Zhang

Segmenting coronary arteries is challenging, as classic unsupervised methods fail to produce satisfactory results and modern supervised learning (deep learning) requires manual annotation which is often time-consuming and can some time be infeasible.

Transfer Learning

Group Re-Identification with Multi-grained Matching and Integration

no code implementations17 May 2019 Weiyao Lin, Yuxi Li, Hao Xiao, John See, Junni Zou, Hongkai Xiong, Jingdong Wang, Tao Mei

The task of re-identifying groups of people underdifferent camera views is an important yet less-studied problem. Group re-identification (Re-ID) is a very challenging task sinceit is not only adversely affected by common issues in traditionalsingle object Re-ID problems such as viewpoint and human posevariations, but it also suffers from changes in group layout andgroup membership.

Trained Rank Pruning for Efficient Deep Neural Networks

1 code implementation6 Dec 2018 Yuhui Xu, Yuxi Li, Shuai Zhang, Wei Wen, Botao Wang, Yingyong Qi, Yiran Chen, Weiyao Lin, Hongkai Xiong

We propose Trained Rank Pruning (TRP), which iterates low rank approximation and training.


Deep Reinforcement Learning

5 code implementations15 Oct 2018 Yuxi Li

We start with background of artificial intelligence, machine learning, deep learning, and reinforcement learning (RL), with resources.

Management reinforcement-learning +1

Network Decoupling: From Regular to Depthwise Separable Convolutions

1 code implementation16 Aug 2018 Jianbo Guo, Yuxi Li, Weiyao Lin, Yurong Chen, Jianguo Li

Depthwise separable convolution has shown great efficiency in network design, but requires time-consuming training procedure with full training-set available.

object-detection Object Detection

Tiny-DSOD: Lightweight Object Detection for Resource-Restricted Usages

1 code implementation29 Jul 2018 Yuxi Li, Jiuwei Li, Weiyao Lin, Jianguo Li

Based on the deeply supervised object detection (DSOD) framework, we propose Tiny-DSOD dedicating to resource-restricted usages.

object-detection Object Detection

Deep Reinforcement Learning: An Overview

2 code implementations25 Jan 2017 Yuxi Li

We start with background of machine learning, deep learning and reinforcement learning.

Machine Translation Management +5

A General Projection Property for Distribution Families

no code implementations NeurIPS 2009 Yao-Liang Yu, Yuxi Li, Dale Schuurmans, Csaba Szepesvári

We prove that linear projections between distribution families with fixed first and second moments are surjective, regardless of dimension.

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