Search Results for author: Xiao Ma

Found 28 papers, 8 papers with code

Label Adversarial Learning for Skeleton-level to Pixel-level Adjustable Vessel Segmentation

no code implementations7 May 2022 Mingchao Li, Kun Huang, Zetian Zhang, Xiao Ma, Qiang Chen

This continuous process allows us to recommend high-quality vessel segmentation with clear caliber and topology.

Towards Sustainable Satellite Edge Computing

no code implementations10 Mar 2022 Qing Li, Shangguang Wang, Xiao Ma, Ao Zhou, Fangchun Yang

Recently, Low Earth Orbit (LEO) satellites experience rapid development and satellite edge computing emerges to address the limitation of bent-pipe architecture in existing satellite systems.


On Exploring Pose Estimation as an Auxiliary Learning Task for Visible-Infrared Person Re-identification

no code implementations11 Jan 2022 Yunqi Miao, Nianchang Huang, Xiao Ma, Qiang Zhang, Jungong Han

Visible-infrared person re-identification (VI-ReID) has been challenging due to the existence of large discrepancies between visible and infrared modalities.

Auxiliary Learning Knowledge Distillation +2

State-based Episodic Memory for Multi-Agent Reinforcement Learning

no code implementations19 Oct 2021 Xiao Ma, Wu-Jun Li

SEM adopts episodic memory (EM) to supervise the centralized training procedure of CTDE in MARL.

reinforcement-learning SMAC +1

Ab Initio Particle-based Object Manipulation

no code implementations19 Jul 2021 Siwei Chen, Xiao Ma, Yunfan Lu, David Hsu

Like the model-based analytic approaches to manipulation, the particle representation enables the robot to reason about the object's geometry and dynamics in order to choose suitable manipulation actions.

FineAction: A Fine-Grained Video Dataset for Temporal Action Localization

no code implementations24 May 2021 Yi Liu, LiMin Wang, Xiao Ma, Yali Wang, Yu Qiao

Second, the coarse action classes often lead to the ambiguous annotations of temporal boundaries, which are inappropriate for temporal action localization.

Temporal Action Localization Temporal Localization +1

Learning Latent Graph Dynamics for Visual Manipulation of Deformable Objects

no code implementations25 Apr 2021 Xiao Ma, David Hsu, Wee Sun Lee

Manipulating deformable objects, such as ropes and clothing, is a long-standing challenge in robotics, because of their large degrees of freedom, complex non-linear dynamics, and self-occlusion in visual perception.

Contrastive Learning Deformable Object Manipulation +1

Towards Overcoming False Positives in Visual Relationship Detection

no code implementations23 Dec 2020 Daisheng Jin, Xiao Ma, Chongzhi Zhang, Yizhuo Zhou, Jiashu Tao, Mingyuan Zhang, Haiyu Zhao, Shuai Yi, Zhoujun Li, Xianglong Liu, Hongsheng Li

We observe that during training, the relationship proposal distribution is highly imbalanced: most of the negative relationship proposals are easy to identify, e. g., the inaccurate object detection, which leads to the under-fitting of low-frequency difficult proposals.

Graph Attention Human-Object Interaction Detection +2

Hierarchical Federated Learning through LAN-WAN Orchestration

no code implementations22 Oct 2020 Jinliang Yuan, Mengwei Xu, Xiao Ma, Ao Zhou, Xuanzhe Liu, Shangguang Wang

Our proposed FL can accelerate the learning process and reduce the monetary cost with frequent local aggregation in the same LAN and infrequent global aggregation on a cloud across WAN.

Federated Learning

Contrastive Variational Reinforcement Learning for Complex Observations

1 code implementation6 Aug 2020 Xiao Ma, Siwei Chen, David Hsu, Wee Sun Lee

This paper presents Contrastive Variational Reinforcement Learning (CVRL), a model-based method that tackles complex visual observations in DRL.

Atari Games Continuous Control +3

Balanced Meta-Softmax for Long-Tailed Visual Recognition

1 code implementation NeurIPS 2020 Jiawei Ren, Cunjun Yu, Shunan Sheng, Xiao Ma, Haiyu Zhao, Shuai Yi, Hongsheng Li

In our experiments, we demonstrate that Balanced Meta-Softmax outperforms state-of-the-art long-tailed classification solutions on both visual recognition and instance segmentation tasks.

General Classification Instance Segmentation +2

DinerDash Gym: A Benchmark for Policy Learning in High-Dimensional Action Space

1 code implementation13 Jul 2020 Siwei Chen, Xiao Ma, David Hsu

It has been arduous to assess the progress of a policy learning algorithm in the domain of hierarchical task with high dimensional action space due to the lack of a commonly accepted benchmark.

Atari Games

Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction

1 code implementation ECCV 2020 Cunjun Yu, Xiao Ma, Jiawei Ren, Haiyu Zhao, Shuai Yi

In this paper, we present STAR, a Spatio-Temporal grAph tRansformer framework, which tackles trajectory prediction by only attention mechanisms.

Autonomous Driving Pedestrian Trajectory Prediction +1

R3: A Reading Comprehension Benchmark Requiring Reasoning Processes

no code implementations2 Apr 2020 Ran Wang, Kun Tao, Dingjie Song, Zhilong Zhang, Xiao Ma, Xi'ao Su, Xin-yu Dai

Existing question answering systems can only predict answers without explicit reasoning processes, which hinder their explainability and make us overestimate their ability of understanding and reasoning over natural language.

Question Answering Reading Comprehension

Challenges in Supporting Exploratory Search through Voice Assistants

no code implementations6 Mar 2020 Xiao Ma, Ariel Liu

Compared to simple search tasks such as "How tall is the Eiffel Tower?

AI-Mediated Exchange Theory

no code implementations4 Mar 2020 Xiao Ma, Taylor W. Brown

As an extension to Social Exchange Theory (SET) in the social sciences, AI-MET views AI as influencing human-to-human relationships via a taxonomy of mediation mechanisms.

Discriminative Particle Filter Reinforcement Learning for Complex Partial Observations

1 code implementation ICLR 2020 Xiao Ma, Peter Karkus, David Hsu, Wee Sun Lee, Nan Ye

The particle filter maintains a belief using learned discriminative update, which is trained end-to-end for decision making.

Atari Games Decision Making +2

AMAD: Adversarial Multiscale Anomaly Detection on High-Dimensional and Time-Evolving Categorical Data

no code implementations12 Jul 2019 Zheng Gao, Lin Guo, Chi Ma, Xiao Ma, Kai Sun, Hang Xiang, Xiaoqiang Zhu, Hongsong Li, Xiaozhong Liu

Anomaly detection is facing with emerging challenges in many important industry domains, such as cyber security and online recommendation and advertising.

Anomaly Detection

Clustered Reinforcement Learning

no code implementations6 Jun 2019 Xiao Ma, Shen-Yi Zhao, Wu-Jun Li

Exploration strategy design is one of the challenging problems in reinforcement learning~(RL), especially when the environment contains a large state space or sparse rewards.

Atari Games Continuous Control +2

Particle Filter Recurrent Neural Networks

1 code implementation30 May 2019 Xiao Ma, Peter Karkus, David Hsu, Wee Sun Lee

Recurrent neural networks (RNNs) have been extraordinarily successful for prediction with sequential data.

General Classification Stock Price Prediction +1

Differentiable Algorithm Networks for Composable Robot Learning

no code implementations28 May 2019 Peter Karkus, Xiao Ma, David Hsu, Leslie Pack Kaelbling, Wee Sun Lee, Tomas Lozano-Perez

This paper introduces the Differentiable Algorithm Network (DAN), a composable architecture for robot learning systems.

Homogeneous Feature Transfer and Heterogeneous Location Fine-tuning for Cross-City Property Appraisal Framework

no code implementations11 Dec 2018 Yihan Guo, Shan Lin, Xiao Ma, Jay Bal, Chang-Tsun Li

Most existing real estate appraisal methods focus on building accuracy and reliable models from a given dataset but pay little attention to the extensibility of their trained model.

Understanding Image Quality and Trust in Peer-to-Peer Marketplaces

no code implementations26 Nov 2018 Xiao Ma, Lina Mezghani, Kimberly Wilber, Hui Hong, Robinson Piramuthu, Mor Naaman, Serge Belongie

In this work, we conducted a large-scale study on the quality of user-generated images in peer-to-peer marketplaces.

Dermoscopic Image Analysis for ISIC Challenge 2018

no code implementations24 Jul 2018 Jinyi Zou, Xiao Ma, Cheng Zhong, Yao Zhang

This short paper reports the algorithms we used and the evaluation performances for ISIC Challenge 2018.

Classification General Classification +3

Entire Space Multi-Task Model: An Effective Approach for Estimating Post-Click Conversion Rate

5 code implementations21 Apr 2018 Xiao Ma, Liqin Zhao, Guan Huang, Zhi Wang, Zelin Hu, Xiaoqiang Zhu, Kun Gai

To the best of our knowledge, this is the first public dataset which contains samples with sequential dependence of click and conversion labels for CVR modeling.

Click-Through Rate Prediction Recommendation Systems +2

Deep Interest Network for Click-Through Rate Prediction

16 code implementations21 Jun 2017 Guorui Zhou, Chengru Song, Xiaoqiang Zhu, Ying Fan, Han Zhu, Xiao Ma, Yanghui Yan, Junqi Jin, Han Li, Kun Gai

In this way, user features are compressed into a fixed-length representation vector, in regardless of what candidate ads are.

Click-Through Rate Prediction

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