Search Results for author: YuAn Liu

Found 48 papers, 15 papers with code

Object Tracking using Spatio-Temporal Networks for Future Prediction Location

no code implementations ECCV 2020 Yuan Liu, Ruoteng Li, Yu Cheng, Robby T. Tan, Xiubao Sui

To facilitate the future prediction ability, we follow three key observations: 1) object motion trajectory is affected significantly by camera motion; 2) the past trajectory of an object can act as a salient cue to estimate the object motion in the spatial domain; 3) previous frames contain the surroundings and appearance of the target object, which is useful for predicting the target object’s future locations.

Future prediction Object Tracking

PixMIM: Rethinking Pixel Reconstruction in Masked Image Modeling

1 code implementation4 Mar 2023 YuAn Liu, Songyang Zhang, Jiacheng Chen, Kai Chen, Dahua Lin

Masked Image Modeling (MIM) has achieved promising progress with the advent of Masked Autoencoders (MAE) and BEiT.

Self-Supervised Learning

Intrinsic Bayesian Optimisation on Complex Constrained Domain

no code implementations29 Jan 2023 YuAn Liu, Mu Niu, Claire Miller

Motivated by the success of Bayesian optimisation algorithms in the Euclidean space, we propose a novel approach to construct Intrinsic Bayesian optimisation (In-BO) on manifolds with a primary focus on complex constrained domains or irregular-shaped spaces arising as submanifolds of R2, R3 and beyond.

Bayesian Optimisation Gaussian Processes

Modeling Global Distribution for Federated Learning with Label Distribution Skew

1 code implementation17 Dec 2022 Tao Sheng, Chengchao Shen, YuAn Liu, Yeyu Ou, Zhe Qu, Jianxin Wang

It introduces a global Generative Adversarial Network to model the global data distribution without access to local datasets, so the global model can be trained using the global information of data distribution without privacy leakage.

Federated Learning

Client Selection for Federated Bayesian Learning

no code implementations11 Dec 2022 Jiarong Yang, YuAn Liu, Rahif Kassab

Distributed Stein Variational Gradient Descent (DSVGD) is a non-parametric distributed learning framework for federated Bayesian learning, where multiple clients jointly train a machine learning model by communicating a number of non-random and interacting particles with the server.

Target Detection Framework for Lobster Eye X-Ray Telescopes with Machine Learning Algorithms

no code implementations11 Dec 2022 Peng Jia, Wenbo Liu, YuAn Liu, Haiwu Pan

Then an algorithm based on morphological operations and two neural networks would be used to detect candidates of celestial objects with different flux from these 2D images.

Efficient Learning of Voltage Control Strategies via Model-based Deep Reinforcement Learning

no code implementations6 Dec 2022 Ramij R. Hossain, Tianzhixi Yin, Yan Du, Renke Huang, Jie Tan, Wenhao Yu, YuAn Liu, Qiuhua Huang

We propose a novel model-based-DRL framework where a deep neural network (DNN)-based dynamic surrogate model, instead of a real-world power-grid or physics-based simulation, is utilized with the policy learning framework, making the process faster and sample efficient.

Imitation Learning reinforcement-learning +1

SNAF: Sparse-view CBCT Reconstruction with Neural Attenuation Fields

no code implementations30 Nov 2022 Yu Fang, Lanzhuju Mei, Changjian Li, YuAn Liu, Wenping Wang, Zhiming Cui, Dinggang Shen

Cone beam computed tomography (CBCT) has been widely used in clinical practice, especially in dental clinics, while the radiation dose of X-rays when capturing has been a long concern in CBCT imaging.

NeuralUDF: Learning Unsigned Distance Fields for Multi-view Reconstruction of Surfaces with Arbitrary Topologies

no code implementations25 Nov 2022 Xiaoxiao Long, Cheng Lin, Lingjie Liu, YuAn Liu, Peng Wang, Christian Theobalt, Taku Komura, Wenping Wang

In this paper, we propose to represent surfaces as the Unsigned Distance Function (UDF) and develop a new volume rendering scheme to learn the neural UDF representation.

Neural Rendering

Evaluating and Mitigating Static Bias of Action Representations in the Background and the Foreground

no code implementations23 Nov 2022 Haoxin Li, Yue Wu, YuAn Liu, Hanwang Zhang, Boyang Li

Deep neural networks for video action recognition easily learn to utilize shortcut static features, such as background and objects instead of motion features.

Action Recognition Data Augmentation +1

General non-linear imitation leads to limit cycles in eco-evolutionary dynamics

no code implementations19 Oct 2022 YuAn Liu, Lixuan Cao, Bin Wu

We extrapolate from the linear imitation function to general imitation function, which can be non-linear.

Few-Shot Learning of Accurate Folding Landscape for Protein Structure Prediction

3 code implementations20 Aug 2022 Jun Zhang, Sirui Liu, Mengyun Chen, Haotian Chu, Min Wang, Zidong Wang, Jialiang Yu, Ningxi Ni, Fan Yu, Diqing Chen, Yi Isaac Yang, Boxin Xue, Lijiang Yang, YuAn Liu, Yi Qin Gao

Data-driven predictive methods which can efficiently and accurately transform protein sequences into biologically active structures are highly valuable for scientific research and therapeutical development.

Denoising Few-Shot Learning +1

Detecting and Preventing Shortcut Learning for Fair Medical AI using Shortcut Testing (ShorT)

no code implementations21 Jul 2022 Alexander Brown, Nenad Tomasev, Jan Freyberg, YuAn Liu, Alan Karthikesalingam, Jessica Schrouff

Machine learning (ML) holds great promise for improving healthcare, but it is critical to ensure that its use will not propagate or amplify health disparities.

Fairness Multi-Task Learning

Progressively-connected Light Field Network for Efficient View Synthesis

no code implementations10 Jul 2022 Peng Wang, YuAn Liu, Guying Lin, Jiatao Gu, Lingjie Liu, Taku Komura, Wenping Wang

ProLiF encodes a 4D light field, which allows rendering a large batch of rays in one training step for image- or patch-level losses.

Novel View Synthesis

False Data Injection Attack on Electric Vehicle-Assisted Voltage Regulation

no code implementations9 Mar 2022 YuAn Liu, Omid Ardakanian, Ioanis Nikolaidis, Hao Liang

With the large scale penetration of electric vehicles (EVs) and the advent of bidirectional chargers, EV aggregators will become a major player in the voltage regulation market.

Capacity Estimation Stochastic Optimization

Harmonic Modeling, Data Generation, and Analysis of Power Electronics-Interfaced Residential Loads

no code implementations5 Nov 2021 Ankit Singhal, Dexin Wang, Andrew P. Reiman, YuAn Liu, Donald J. Hammerstrom, Soumya Kundu

Integration of electronics-based residential appliances and distributed energy resources in homes is expected to rise with grid decarbonization.

You Only Hypothesize Once: Point Cloud Registration with Rotation-equivariant Descriptors

1 code implementation1 Sep 2021 Haiping Wang, YuAn Liu, Zhen Dong, Wenping Wang

In this paper, we propose a novel local descriptor-based framework, called You Only Hypothesize Once (YOHO), for the registration of two unaligned point clouds.

Point Cloud Registration

Improving 3D Object Detection with Channel-wise Transformer

1 code implementation ICCV 2021 Hualian Sheng, Sijia Cai, YuAn Liu, Bing Deng, Jianqiang Huang, Xian-Sheng Hua, Min-Jian Zhao

Though 3D object detection from point clouds has achieved rapid progress in recent years, the lack of flexible and high-performance proposal refinement remains a great hurdle for existing state-of-the-art two-stage detectors.

3D Object Detection object-detection +1

AdaFit: Rethinking Learning-based Normal Estimation on Point Clouds

1 code implementation ICCV 2021 Runsong Zhu, YuAn Liu, Zhen Dong, Tengping Jiang, YuAn Wang, Wenping Wang, Bisheng Yang

Existing works use a network to learn point-wise weights for weighted least squares surface fitting to estimate the normals, which has difficulty in finding accurate normals in complex regions or containing noisy points.

Surface Normals Estimation

A Contract Theory based Incentive Mechanism for Federated Learning

no code implementations12 Aug 2021 Mengmeng Tian, Yuxin Chen, YuAn Liu, Zehui Xiong, Cyril Leung, Chunyan Miao

It is challenging to design proper incentives for the FL clients due to the fact that the task is privately trained by the clients.

Federated Learning

Neural Rays for Occlusion-aware Image-based Rendering

1 code implementation CVPR 2022 YuAn Liu, Sida Peng, Lingjie Liu, Qianqian Wang, Peng Wang, Christian Theobalt, Xiaowei Zhou, Wenping Wang

On such a 3D point, these generalization methods will include inconsistent image features from invisible views, which interfere with the radiance field construction.

Neural Rendering Novel View Synthesis +1

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

4 code implementations NeurIPS 2021 Peng Wang, Lingjie Liu, YuAn Liu, Christian Theobalt, Taku Komura, Wenping Wang

In NeuS, we propose to represent a surface as the zero-level set of a signed distance function (SDF) and develop a new volume rendering method to train a neural SDF representation.

Novel View Synthesis Surface Reconstruction

Noise Is Useful: Exploiting Data Diversity for Edge Intelligence

no code implementations14 Jan 2021 Zhi Zeng, YuAn Liu, Weijun Tang, Fangjiong Chen

Edge intelligence requires to fast access distributed data samples generated by edge devices.

Information Theory Information Theory

Contrast and Order Representations for Video Self-Supervised Learning

no code implementations ICCV 2021 Kai Hu, Jie Shao, YuAn Liu, Bhiksha Raj, Marios Savvides, Zhiqiang Shen

To address this, we present a contrast-and-order representation (CORP) framework for learning self-supervised video representations that can automatically capture both the appearance information within each frame and temporal information across different frames.

Action Recognition Self-Supervised Learning

Learnable Motion Coherence for Correspondence Pruning

no code implementations CVPR 2021 YuAn Liu, Lingjie Liu, Cheng Lin, Zhen Dong, Wenping Wang

We propose a novel formulation of fitting coherent motions with a smooth function on a graph of correspondences and show that this formulation allows a closed-form solution by graph Laplacian.

Pose Estimation

Object Tracking Using Spatio-Temporal Future Prediction

no code implementations15 Oct 2020 YuAn Liu, Ruoteng Li, Robby T. Tan, Yu Cheng, Xiubao Sui

Our trajectory prediction module predicts the target object's locations in the current and future frames based on the object's past trajectory.

Future prediction Object Tracking +1

Addressing the Real-world Class Imbalance Problem in Dermatology

no code implementations9 Oct 2020 Wei-Hung Weng, Jonathan Deaton, Vivek Natarajan, Gamaleldin F. Elsayed, YuAn Liu

Class imbalance is a common problem in medical diagnosis, causing a standard classifier to be biased towards the common classes and perform poorly on the rare classes.

Benchmarking Few-Shot Learning +1

FedCoin: A Peer-to-Peer Payment System for Federated Learning

1 code implementation26 Feb 2020 Yuan Liu, Shuai Sun, Zhengpeng Ai, Shuangfeng Zhang, Zelei Liu, Han Yu

In FedCoin, blockchain consensus entities calculate SVs and a new block is created based on the proof of Shapley (PoSap) protocol.

Federated Learning

GIFT: Learning Transformation-Invariant Dense Visual Descriptors via Group CNNs

1 code implementation NeurIPS 2019 Yuan Liu, Zehong Shen, Zhixuan Lin, Sida Peng, Hujun Bao, Xiaowei Zhou

Instead of feature pooling, we use group convolutions to exploit underlying structures of the extracted features on the group, resulting in descriptors that are both discriminative and provably invariant to the group of transformations.

Pose Estimation

A deep learning system for differential diagnosis of skin diseases

no code implementations11 Sep 2019 Yuan Liu, Ayush Jain, Clara Eng, David H. Way, Kang Lee, Peggy Bui, Kimberly Kanada, Guilherme de Oliveira Marinho, Jessica Gallegos, Sara Gabriele, Vishakha Gupta, Nalini Singh, Vivek Natarajan, Rainer Hofmann-Wellenhof, Greg S. Corrado, Lily H. Peng, Dale R. Webster, Dennis Ai, Susan Huang, Yun Liu, R. Carter Dunn, David Coz

In this paper, we developed a deep learning system (DLS) to provide a differential diagnosis of skin conditions for clinical cases (skin photographs and associated medical histories).

Multi-granularity Generator for Temporal Action Proposal

no code implementations CVPR 2019 Yuan Liu, Lin Ma, Yifeng Zhang, Wei Liu, Shih-Fu Chang

In this paper, we propose a multi-granularity generator (MGG) to perform the temporal action proposal from different granularity perspectives, relying on the video visual features equipped with the position embedding information.

Action Recognition Temporal Action Proposal Generation

An Attention-Based Approach for Single Image Super Resolution

no code implementations18 Jul 2018 Yuan Liu, Yuancheng Wang, Nan Li, Xu Cheng, Yifeng Zhang, Yongming Huang, Guojun Lu

We propose an attention-based approach to give a discrimination between texture areas and smooth areas.

Image Super-Resolution

Best Vision Technologies Submission to ActivityNet Challenge 2018-Task: Dense-Captioning Events in Videos

no code implementations25 Jun 2018 Yuan Liu, Moyini Yao

This note describes the details of our solution to the dense-captioning events in videos task of ActivityNet Challenge 2018.

Dense Captioning Optical Flow Estimation +1

Une véritable approche $\ell_0$ pour l'apprentissage de dictionnaire

no code implementations12 Sep 2017 Yuan Liu, Stéphane Canu, Paul Honeine, Su Ruan

Sparse representation learning has recently gained a great success in signal and image processing, thanks to recent advances in dictionary learning.

Dictionary Learning Image Denoising +1

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