Search Results for author: Ping Liu

Found 44 papers, 9 papers with code

Mitigating Biased Activation in Weakly-supervised Object Localization via Counterfactual Learning

no code implementations24 May 2023 Feifei Shao, Yawei Luo, Lei Chen, Ping Liu, Yi Yang, Jun Xiao

In this paper, we focus on an under-explored issue of biased activation in prior weakly-supervised object localization methods based on Class Activation Mapping (CAM).

Weakly-Supervised Object Localization

Text-guided Eyeglasses Manipulation with Spatial Constraints

no code implementations25 Apr 2023 Jiacheng Wang, Ping Liu, Jingen Liu, Wei Xu

To address these limitations, we propose a Text-guided Eyeglasses Manipulation method that allows for control of the eyeglasses shape and style based on a binary mask and text, respectively.

Virtual Try-on

UTSGAN: Unseen Transition Suss GAN for Transition-Aware Image-to-image Translation

no code implementations24 Apr 2023 Yaxin Shi, Xiaowei Zhou, Ping Liu, Ivor W. Tsang

Furthermore, we propose the use of transition consistency, defined on the transition variable, to enable regularization of consistency on unobserved translations, which is omitted in previous works.

Image-to-Image Translation Translation

Adaptive Stylization Modulation for Domain Generalized Semantic Segmentation

no code implementations18 Apr 2023 Gabriel Tjio, Ping Liu, Chee-Keong Kwoh, Joey Tianyi Zhou

Therefore, we address the problem of domain generalization for semantic segmentation tasks to reduce the need to acquire and label additional data.

Domain Generalization Semantic Segmentation

An Operator Theory for Analyzing the Resolution of Multi-illumination Imaging Modalities

no code implementations2 Feb 2023 Ping Liu, Habib Ammari

We show that the resolution of multi-illumination imaging is approximately determined by the new imaging kernel from our operator theory and better resolution can be realized by sparsity-promoting techniques in practice but only for resolving very sparse sources.


Super-resolution of positive near-colliding point sources

no code implementations1 Dec 2022 Ping Liu, Habib Ammari

In this paper, we analyze the capacity of super-resolution of one-dimensional positive sources.


A mathematical theory of super-resolution and diffraction limit

no code implementations28 Nov 2022 Ping Liu, Habib Ammari

The first contribution in this paper is two location-amplitude identities characterizing the relations between source locations and amplitudes in the super-resolution problem.

Common Sense Reasoning Super-Resolution

A mathematical theory of resolution limits for super-resolution of positive sources

no code implementations24 Nov 2022 Ping Liu, Yanchen He, Habib Ammari

The superresolving capacity for number and location recoveries in the super-resolution of positive sources is analyzed in this work.


Meta Knowledge Condensation for Federated Learning

1 code implementation29 Sep 2022 Ping Liu, Xin Yu, Joey Tianyi Zhou

In this work, we first introduce a meta knowledge representation method that extracts meta knowledge from distributed clients.

Federated Learning

Nearly optimal resolution estimate for the two-dimensional super-resolution and a new algorithm for direction of arrival estimation with uniform rectangular array

no code implementations14 May 2022 Ping Liu, Habib Ammari

The stability result exhibits the optimal performance of sparsity promoting in solving such problems; (iii) Our techniques pave the way for improving the estimate for resolution limits in higher-dimensional super-resolutions to nearly optimal; (iv) Inspired by these new techniques, we propose a new coordinate-combination-based model order detection algorithm for two-dimensional DOA estimation and theoretically demonstrate its optimal performance, and (v) we also propose a new coordinate-combination-based MUSIC algorithm for super-resolving sources in two-dimensional DOA estimation.

Direction of Arrival Estimation Super-Resolution

Dynamic super-resolution in particle tracking problems

no code implementations8 Apr 2022 Ping Liu, Habib Ammari

This result is derived by an observation that the inherent cut-off frequency for the velocity recovery can be viewed as the total observation time multiplies the cut-off frequency of the imaging system, which may lead to a better resolution limit as compared to the one for each diffraction-limited frame.

Dynamic Reconstruction Super-Resolution

A measurement decoupling based fast algorithm for super-resolving point sources with multi-cluster structure

no code implementations1 Apr 2022 Ping Liu, Hai Zhang

We consider the problem of resolving closely spaced point sources in one dimension from their Fourier data in a bounded domain.

Active Learning for Point Cloud Semantic Segmentation via Spatial-Structural Diversity Reasoning

no code implementations25 Feb 2022 Feifei Shao, Yawei Luo, Ping Liu, Jie Chen, Yi Yang, Yulei Lu, Jun Xiao

To deploy SSDR-AL in a more practical scenario, we design a noise-aware iterative labeling strategy to confront the "noisy annotation" problem introduced by the previous "dominant labeling" strategy in superpoints.

Active Learning Semantic Segmentation

Mathematical foundation of sparsity-based multi-illumination super-resolution

no code implementations22 Feb 2022 Ping Liu, Sanghyeon Yu, Ola Sabet, Lucas Pelkmans, Habib Ammari

By this estimation, we reveal the dependence of the resolution on the cut-off frequency of the imaging system, the SNR, the sparsity of point scatterers, and the incoherence of illumination patterns.

Compressive Sensing Super-Resolution

Onsite Non-Line-of-Sight Imaging via Online Calibrations

no code implementations29 Dec 2021 Zhengqing Pan, Ruiqian Li, Tian Gao, Zi Wang, Ping Liu, Siyuan Shen, Tao Wu, Jingyi Yu, Shiying Li

There has been an increasing interest in deploying non-line-of-sight (NLOS) imaging systems for recovering objects behind an obstacle.

SPG-VTON: Semantic Prediction Guidance for Multi-pose Virtual Try-on

no code implementations3 Aug 2021 Bingwen Hu, Ping Liu, Zhedong Zheng, Mingwu Ren

Third, a Try-on Synthesis Module (TSM) combines the coarse result and the warped clothes to generate the final virtual try-on image, preserving details of the desired clothes and under the desired pose.

Virtual Try-on

Pro-UIGAN: Progressive Face Hallucination from Occluded Thumbnails

no code implementations2 Aug 2021 Yang Zhang, Xin Yu, Xiaobo Lu, Ping Liu

Specifically, we design a novel cross-modal transformer module for facial priors estimation, in which an input face and its landmark features are formulated as queries and keys, respectively.

Face Alignment Face Hallucination +2

Automated Deepfake Detection

no code implementations20 Jun 2021 Ping Liu, Yuewei Lin, Yang He, Yunchao Wei, Liangli Zhen, Joey Tianyi Zhou, Rick Siow Mong Goh, Jingen Liu

In this paper, we propose to utilize Automated Machine Learning to adaptively search a neural architecture for deepfake detection.

BIG-bench Machine Learning DeepFake Detection +1

Adversarial Semantic Hallucination for Domain Generalized Semantic Segmentation

1 code implementation8 Jun 2021 Gabriel Tjio, Ping Liu, Joey Tianyi Zhou, Rick Siow Mong Goh

In this work, we propose an adversarial semantic hallucination approach (ASH), which combines a class-conditioned hallucination module and a semantic segmentation module.

Domain Generalization Semantic Segmentation

Mathematical Theory of Computational Resolution Limit in Multi-dimensions

no code implementations22 Mar 2021 Ping Liu, Hai Zhang

Our results indicate that there exists a phase transition phenomenon regarding to the super-resolution factor and the signal-to-noise ratio in each of the two recovery problems.


Generative Transition Mechanism to Image-to-Image Translation via Encoded Transformation

no code implementations9 Mar 2021 Yaxin Shi, Xiaowei Zhou, Ping Liu, Ivor Tsang

To benefit the generalization ability of the translation model, we propose transition encoding to facilitate explicit regularization of these two {kinds} of consistencies on unseen transitions.

Image Reconstruction Image-to-Image Translation +1

Non-line-of-Sight Imaging via Neural Transient Fields

1 code implementation2 Jan 2021 Siyuan Shen, Zi Wang, Ping Liu, Zhengqing Pan, Ruiqian Li, Tian Gao, Shiying Li, Jingyi Yu

We present a neural modeling framework for Non-Line-of-Sight (NLOS) imaging.

Point Adversarial Self Mining: A Simple Method for Facial Expression Recognition

no code implementations26 Aug 2020 Ping Liu, Yuewei Lin, Zibo Meng, Lu Lu, Weihong Deng, Joey Tianyi Zhou, Yi Yang

In this paper, we propose a simple yet effective approach, named Point Adversarial Self Mining (PASM), to improve the recognition accuracy in facial expression recognition.

Adversarial Attack Data Augmentation +2

Omni-supervised Facial Expression Recognition via Distilled Data

no code implementations18 May 2020 Ping Liu, Yunchao Wei, Zibo Meng, Weihong Deng, Joey Tianyi Zhou, Yi Yang

However, the performance of the current state-of-the-art facial expression recognition (FER) approaches is directly related to the labeled data for training.

Facial Expression Recognition (FER)

Federated Generative Adversarial Learning

no code implementations7 May 2020 Chenyou Fan, Ping Liu

This work studies training generative adversarial networks under the federated learning setting.

Federated Learning Style Transfer

Pseudo-Labeling for Small Lesion Detection on Diabetic Retinopathy Images

no code implementations26 Mar 2020 Qilei Chen, Ping Liu, Jing Ni, Yu Cao, Benyuan Liu, Honggang Zhang

The first one is that our dataset is not fully labeled, i. e., only a subset of all lesion instances are marked.

Lesion Detection object-detection +1

Face Hallucination with Finishing Touches

no code implementations9 Feb 2020 Yang Zhang, Ivor W. Tsang, Jun Li, Ping Liu, Xiaobo Lu, Xin Yu

The coarse-level FHnet generates a frontal coarse HR face and then the fine-level FHnet makes use of the facial component appearance prior, i. e., fine-grained facial components, to attain a frontal HR face image with authentic details.

Face Hallucination Face Recognition

Very Long Natural Scenery Image Prediction by Outpainting

1 code implementation ICCV 2019 Zongxin Yang, Jian Dong, Ping Liu, Yi Yang, Shuicheng Yan

The second challenge is how to maintain high quality in generated results, especially for multi-step generations in which generated regions are spatially far away from the initial input.

Image Inpainting Image Outpainting

Unsupervised Eyeglasses Removal in the Wild

1 code implementation16 Sep 2019 Bingwen Hu, Zhedong Zheng, Ping Liu, Wankou Yang, Mingwu Ren

Given two facial images with and without eyeglasses, the proposed model learns to swap the eye area in two faces.

Face Reconstruction Face Verification +1

Feature-level and Model-level Audiovisual Fusion for Emotion Recognition in the Wild

no code implementations6 Jun 2019 Jie Cai, Zibo Meng, Ahmed Shehab Khan, Zhiyuan Li, James O'Reilly, Shizhong Han, Ping Liu, Min Chen, Yan Tong

In this paper, we proposed two strategies to fuse information extracted from different modalities, i. e., audio and visual.

Emotion Recognition

NULI at SemEval-2019 Task 6: Transfer Learning for Offensive Language Detection using Bidirectional Transformers

no code implementations SEMEVAL 2019 Ping Liu, Wen Li, Liang Zou

Transfer learning and domain adaptive learning have been applied to various fields including computer vision (e. g., image recognition) and natural language processing (e. g., text classification).

General Classification Language Identification +3

Filter Pruning by Switching to Neighboring CNNs with Good Attributes

no code implementations8 Apr 2019 Yang He, Ping Liu, Linchao Zhu, Yi Yang

In addition, when evaluating the filter importance, only the magnitude information of the filters is considered.

Image Classification

Significance-aware Information Bottleneck for Domain Adaptive Semantic Segmentation

no code implementations ICCV 2019 Yawei Luo, Ping Liu, Tao Guan, Junqing Yu, Yi Yang

For unsupervised domain adaptation problems, the strategy of aligning the two domains in latent feature space through adversarial learning has achieved much progress in image classification, but usually fails in semantic segmentation tasks in which the latent representations are overcomplex.

Image Classification Semantic Segmentation +1

A Top-down Approach to Articulated Human Pose Estimation and Tracking

no code implementations23 Jan 2019 Guanghan Ning, Ping Liu, Xiaochuan Fan, Chi Zhang

Both the tasks of multi-person human pose estimation and pose tracking in videos are quite challenging.

Pose Estimation Pose Tracking

Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration

3 code implementations CVPR 2019 Yang He, Ping Liu, Ziwei Wang, Zhilan Hu, Yi Yang

In this paper, we analyze this norm-based criterion and point out that its effectiveness depends on two requirements that are not always met: (1) the norm deviation of the filters should be large; (2) the minimum norm of the filters should be small.

Image Classification

Every Node Counts: Self-Ensembling Graph Convolutional Networks for Semi-Supervised Learning

1 code implementation26 Sep 2018 Yawei Luo, Tao Guan, Junqing Yu, Ping Liu, Yi Yang

To capitalize on the information from unlabeled nodes to boost the training for GCN, we propose a novel framework named Self-Ensembling GCN (SEGCN), which marries GCN with Mean Teacher - another powerful model in semi-supervised learning.

General Classification Node Classification

Forecasting the presence and intensity of hostility on Instagram using linguistic and social features

1 code implementation18 Apr 2018 Ping Liu, Joshua Guberman, Libby Hemphill, Aron Culotta

Online antisocial behavior, such as cyberbullying, harassment, and trolling, is a widespread problem that threatens free discussion and has negative physical and mental health consequences for victims and communities.

Optimize transfer learning for lung diseases in bronchoscopy using a new concept: sequential fine-tuning

no code implementations10 Feb 2018 Tao Tan, Zhang Li, Haixia Liu, Ping Liu, Wenfang Tang, Hui Li, Yue Sun, Yusheng Yan, Keyu Li, Tao Xu, Shanshan Wan, Ke Lou, Jun Xu, Huiming Ying, Quchang Ouyang, Yuling Tang, Zheyu Hu, Qiang Li

To help doctors to be more selective on biopsies and provide a second opinion on diagnosis, in this work, we propose a computer-aided diagnosis (CAD) system for lung diseases including cancers and tuberculosis (TB).

Transfer Learning

Improving Speech Related Facial Action Unit Recognition by Audiovisual Information Fusion

no code implementations29 Jun 2017 Zibo Meng, Shizhong Han, Ping Liu, Yan Tong

Instead of solely improving visual observations, this paper presents a novel audiovisual fusion framework, which makes the best use of visual and acoustic cues in recognizing speech-related facial AUs.

Facial Action Unit Detection

Facial Expression Recognition via a Boosted Deep Belief Network

no code implementations CVPR 2014 Ping Liu, Shizhong Han, Zibo Meng, Yan Tong

A training process for facial expression recognition is usually performed sequentially in three individual stages: feature learning, feature selection, and classifier construction.

Facial Expression Recognition (FER) feature selection

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