b'Ping Liu'

research

∙ 08/13/2023

CLE Diffusion: Controllable Light Enhancement Diffusion Model

Low light enhancement has gained increasing importance with the rapid de...

0 Yuyang Yin, et al. ∙

research

∙ 07/03/2023

Generating Reliable Pixel-Level Labels for Source Free Domain Adaptation

This work addresses the challenging domain adaptation setting in which k...

0 Gabriel Tjio, et al. ∙

research

∙ 05/24/2023

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

In this paper, we focus on an under-explored issue of biased activation ...

0 Feifei Shao, et al. ∙

research

∙ 04/25/2023

Text-guided Eyeglasses Manipulation with Spatial Constraints

Virtual try-on of eyeglasses involves placing eyeglasses of different sh...

0 Jiacheng Wang, et al. ∙

research

∙ 04/24/2023

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

In the field of Image-to-Image (I2I) translation, ensuring consistency b...

0 Yaxin Shi, et al. ∙

research

∙ 04/18/2023

Adaptive Stylization Modulation for Domain Generalized Semantic Segmentation

Obtaining sufficient labelled data for model training is impractical for...

0 Gabriel Tjio, et al. ∙

research

∙ 04/08/2022

Dynamic super-resolution in particle tracking problems

Particle tracking in biological imaging is concerned with reconstructing...

0 Ping Liu, et al. ∙

research

∙ 02/25/2022

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

The expensive annotation cost is notoriously known as a main constraint ...

9 Feifei Shao, et al. ∙

research

∙ 12/29/2021

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

There has been an increasing interest in deploying non-line-of-sight (NL...

4 Zhengqing Pan, et al. ∙

research

∙ 11/28/2021

Unsupervised Domain Adaptive Person Re-Identification via Human Learning Imitation

Unsupervised domain adaptive person re-identification has received signi...

0 Yang Peng, et al. ∙

research

∙ 09/21/2021

Social, Environmental, and Technical: Factors at Play in the Current Use and Future Design of Small-Group Captioning

Real-time captioning is a critical accessibility tool for many d/Deaf an...

0 Emma J. McDonnell, et al. ∙

research

∙ 08/03/2021

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

Image-based virtual try-on is challenging in fitting a target in-shop cl...

3 Bingwen Hu, et al. ∙

research

∙ 08/02/2021

Pro-UIGAN: Progressive Face Hallucination from Occluded Thumbnails

In this paper, we study the task of hallucinating an authentic high-reso...

2 Yang Zhang, et al. ∙

research

∙ 06/20/2021

Automated Deepfake Detection

In this paper, we propose to utilize Automated Machine Learning to autom...

0 Ping Liu, et al. ∙

research

∙ 06/08/2021

Adversarial Semantic Hallucination for Domain Generalized Semantic Segmentation

Convolutional neural networks may perform poorly when the test and train...

0 Gabriel Tjio, et al. ∙

research

∙ 03/22/2021

Mathematical Theory of Computational Resolution Limit in Multi-dimensions

Resolving a linear combination of point sources from their band-limited ...

0 Ping Liu, et al. ∙

research

∙ 03/09/2021

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

In this paper, we revisit the Image-to-Image (I2I) translation problem w...

0 Yaxin Shi, et al. ∙

research

∙ 01/02/2021

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

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

20 Siyuan Shen, et al. ∙

research

∙ 08/26/2020

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

In this paper, the Point Adversarial Self Mining (PASM) approach, a simp...

0 Ping Liu, et al. ∙

research

∙ 05/18/2020

Omni-supervised Facial Expression Recognition: A Simple Baseline

In this paper, we target on advancing the performance in facial expressi...

13 Ping Liu, et al. ∙

research

∙ 05/07/2020

Federated Generative Adversarial Learning

This work studies training generative adversarial networks under the fed...

0 Chenyou Fan, et al. ∙

research

∙ 04/13/2020

Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation

We aim at the problem named One-Shot Unsupervised Domain Adaptation. Unl...

7 Yawei Luo, et al. ∙

research

∙ 03/26/2020

Pseudo-Labeling for Small Lesion Detection on Diabetic Retinopathy Images

Diabetic retinopathy (DR) is a primary cause of blindness in working-age...

5 Qilei Chen, et al. ∙

research

∙ 03/03/2020

CRATOS: Cogination of Reliable Algorithm for Time-series Optimal Solution

Anomaly detection of time series plays an important role in reliability ...

6 Ziling Wu, et al. ∙

research

∙ 03/03/2020

CRATOS: Cognition of Reliable Algorithm for Time-series Optimal Solution

Anomaly detection of time series plays an important role in reliability ...

3 Ziling Wu, et al. ∙

research

∙ 02/26/2020

Resolution Limit for Line Spectral Estimation: Theory and Algorithm

Line spectral estimation is a classical signal processing problem aimed ...

0 Ping Liu, et al. ∙

research

∙ 02/09/2020

Face Hallucination with Finishing Touches

Obtaining a high-quality frontal face image from a low-resolution (LR) n...

8 Yang Zhang, et al. ∙

research

∙ 12/29/2019

Very Long Natural Scenery Image Prediction by Outpainting

Comparing to image inpainting, image outpainting receives less attention...

6 Zongxin Yang, et al. ∙

research

∙ 06/06/2019

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

Emotion recognition plays an important role in human-computer interactio...

0 Jie Cai, et al. ∙

research

∙ 04/08/2019

Meta Filter Pruning to Accelerate Deep Convolutional Neural Networks

Existing methods usually utilize pre-defined criterions, such as p-norm,...

0 Yang He, et al. ∙

research

∙ 04/01/2019

Significance-aware Information Bottleneck for Domain Adaptive Semantic Segmentation

For unsupervised domain adaptation problems, the strategy of aligning th...

0 Yawei Luo, et al. ∙

research

∙ 01/23/2019

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

Both the tasks of multi-person human pose estimation and pose tracking i...

0 Guanghan Ning, et al. ∙

research

∙ 11/01/2018

Pruning Filter via Geometric Median for Deep Convolutional Neural Networks Acceleration

Previous works utilized "smaller-norm-less-important" criterion to prune...

0 Yang He, et al. ∙

research

∙ 09/26/2018

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

Graph convolutional network (GCN) provides a powerful means for graph-ba...

0 Yawei Luo, et al. ∙

research

∙ 04/18/2018

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

Online antisocial behavior, such as cyberbullying, harassment, and troll...

0 Ping Liu, et al. ∙

research

∙ 03/14/2018

Computer-aided diagnosis of lung carcinoma using deep learning - a pilot study

Aim: Early detection and correct diagnosis of lung cancer are the most i...

0 Zhang Li, et al. ∙

research

∙ 02/10/2018

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

Bronchoscopy inspection as a follow-up procedure from the radiological i...

0 Tao Tan, et al. ∙

research

∙ 06/29/2017

Improving Speech Related Facial Action Unit Recognition by Audiovisual Information Fusion

It is challenging to recognize facial action unit (AU) from spontaneous ...

0 Zibo Meng, et al. ∙

research

∙ 12/11/2012

Bag-of-Words Representation for Biomedical Time Series Classification

Automatic analysis of biomedical time series such as electroencephalogra...

0 Jin Wang, et al. ∙

Ping Liu

Featured Co-authors