16 citations · 84 across the 33 of their papers we have counts for
5 papers · 1 filter
Being Aware of Localization Accuracy By Generating Predicted-IoU-Guided Quality Scores
Pengfei Liu, Weibo Wang, Yuhan Guo +1
Localization Quality Estimation (LQE) helps to improve detection performance as it benefits post processing through jointly considering classification score and localization accura…
How to Evaluate the Generalization of Detection? A Benchmark for Comprehensive Open-Vocabulary Detection
Yiyang Yao, Peng Liu, Tiancheng Zhao +5
Object detection (OD) in computer vision has made significant progress in recent years, transitioning from closed-set labels to open-vocabulary detection (OVD) based on large-scale…
CPS: Context-aware Conditional Cross Pseudo Supervision for Semi-supervised Medical Image Segmentation
Peng Liu, Guoyan Zheng
Semi-supervised learning (SSL) methods, which can leverage a large amount of unlabeled data for improved performance, has attracted increasing attention recently. In this paper, we…
Learning Pixel-Distribution Prior with Wider Convolution for Image Denoising
Peng Liu, Ruogu Fang
In this work, we explore an innovative strategy for image denoising by using convolutional neural networks (CNN) to learn pixel-distribution from noisy data. By increasing CNN's wi…
High-speed real-time single-pixel microscopy based on Fourier sampling
Qiang Guo, Hongwei Chen, Yuxi Wang +8
Single-pixel cameras based on the concepts of compressed sensing (CS) leverage the inherent structure of images to retrieve them with far fewer measurements and operate efficiently…