Search Results for author: Kun Liu

Found 21 papers, 4 papers with code

An Empirical Study and Analysis of Learning Generalizable Manipulation Skill in the SAPIEN Simulator

no code implementations31 Aug 2022 Kun Liu, Huiyuan Fu, Zheng Zhang, Huanpu Yin

This paper provides a brief overview of our submission to the no interaction track of SAPIEN ManiSkill Challenge 2021.

Part-level Action Parsing via a Pose-guided Coarse-to-Fine Framework

no code implementations9 Mar 2022 Xiaodong Chen, Xinchen Liu, Wu Liu, Kun Liu, Dong Wu, Yongdong Zhang, Tao Mei

Therefore, researchers start to focus on a new task, Part-level Action Parsing (PAP), which aims to not only predict the video-level action but also recognize the frame-level fine-grained actions or interactions of body parts for each person in the video.

Action Parsing Action Recognition

Uncertainty Set Prediction of Aggregated Wind Power Generation based on Bayesian LSTM and Spatio-Temporal Analysis

no code implementations7 Oct 2021 Xiaopeng Li, Jiang Wu, Zhanbo Xu, Kun Liu, Jun Yu, Xiaohong Guan

This paper focuses on the uncertainty set prediction of the aggregated generation of geographically distributed wind farms.

A Baseline Framework for Part-level Action Parsing and Action Recognition

no code implementations7 Oct 2021 Xiaodong Chen, Xinchen Liu, Kun Liu, Wu Liu, Tao Mei

This technical report introduces our 2nd place solution to Kinetics-TPS Track on Part-level Action Parsing in ICCV DeeperAction Workshop 2021.

Action Parsing Action Recognition +1

Multi-agent consensus with heterogeneous time-varying input and communication delays in digraphs

no code implementations3 May 2021 Wei Jiang, Kun Liu, Themistoklis Charalambous

First, for all agents whose state matrix has no eigenvalues with positive real parts, a communication-delay-related observer, which is used to construct the controller, is designed for followers to estimate the leader's state information.

Both qubits of the singlet state can be steered simultaneously by multiple independent observers via sequential measurement

no code implementations24 Feb 2021 Kun Liu, Tongjun Liu, Wei Fang, Jian Li, Qin Wang

Quantum correlation is a fundamental property which distinguishes quantum systems from classical ones, and it is also a fragile resource under projective measurement.

Quantum Physics

Expectation Synchronization Synthesis in Non-Markovian Open Quantum Systems

no code implementations4 Jan 2021 Shikun Zhang, Kun Liu, Daoyi Dong, Xiaoxue Feng, Feng Pan

In this article, we investigate the problem of engineering synchronization in non-Markovian quantum systems.

Quantum Physics

Language Guided Networks for Cross-modal Moment Retrieval

no code implementations18 Jun 2020 Kun Liu, Huadong Ma, Chuang Gan

In this paper, we present Language Guided Networks (LGN), a new framework that leverages the sentence embedding to guide the whole process of moment retrieval.

Moment Retrieval Retrieval +2

A Real-time Action Representation with Temporal Encoding and Deep Compression

no code implementations17 Jun 2020 Kun Liu, Wu Liu, Huadong Ma, Mingkui Tan, Chuang Gan

Our method achieves clear improvements on UCF101 action recognition benchmark against state-of-the-art real-time methods by 5. 4% in terms of accuracy and 2 times faster in terms of inference speed with a less than 5MB storage model.

Action Recognition

FAME: 3D Shape Generation via Functionality-Aware Model Evolution

1 code implementation9 May 2020 Yanran Guan, Han Liu, Kun Liu, Kangxue Yin, Ruizhen Hu, Oliver van Kaick, Yan Zhang, Ersin Yumer, Nathan Carr, Radomir Mech, Hao Zhang

Our tool supports constrained modeling, allowing users to restrict or steer the model evolution with functionality labels.


Structural Combinatorial of Network Information System of Systems based on Evolutionary Optimization Method

no code implementations22 Feb 2020 Tingting Zhang, Yushi Lan, Aiguo Song, Kun Liu, Nan Wang

The network information system is a military information network system with evolution characteristics.

PartNet: A Recursive Part Decomposition Network for Fine-grained and Hierarchical Shape Segmentation

no code implementations CVPR 2019 Fenggen Yu, Kun Liu, Yan Zhang, Chenyang Zhu, Kai Xu

Meanwhile, to increase the segmentation accuracy at each node, we enhance the recursive contextual feature with the shape feature extracted for the corresponding part.

Ranked #9 on 3D Part Segmentation on ShapeNet-Part (Class Average IoU metric)

3D Instance Segmentation 3D Part Segmentation

Solar Cell Surface Defect Inspection Based on Multispectral Convolutional Neural Network

no code implementations15 Dec 2018 Haiyong Chen, Yue Pang, Qidi Hu, Kun Liu

Similar and indeterminate defect detection of solar cell surface with heterogeneous texture and complex background is a challenge of solar cell manufacturing.

Defect Detection Multi-Document Summarization

Geometry Guided Convolutional Neural Networks for Self-Supervised Video Representation Learning

no code implementations CVPR 2018 Chuang Gan, Boqing Gong, Kun Liu, Hao Su, Leonidas J. Guibas

In addition, we also find that a progressive training strategy can foster a better neural network for the video recognition task than blindly pooling the distinct sources of geometry cues together.

Action Recognition Representation Learning +5

Generalized Zero-Shot Learning for Action Recognition with Web-Scale Video Data

no code implementations20 Oct 2017 Kun Liu, Wu Liu, Huadong Ma, Wenbing Huang, Xiongxiong Dong

Motivated by this, we study the task of action recognition in surveillance video under a more realistic \emph{generalized zero-shot setting}, where testing data contains both seen and unseen classes.

Action Recognition Generalized Zero-Shot Learning +1

Proceedings of the 2017 AdKDD & TargetAd Workshop

no code implementations11 Jul 2017 Abraham Bagherjeiran, Nemanja Djuric, Mihajlo Grbovic, Kuang-Chih Lee, Kun Liu, Vladan Radosavljevic, Suju Rajan

Proceedings of the 2017 AdKDD and TargetAd Workshop held in conjunction with the 23rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining Halifax, Nova Scotia, Canada.

Cannot find the paper you are looking for? You can Submit a new open access paper.