Search Results - "Peng, Sifan"

A Semi-supervised crowd counting method based on patch crowds statistics by Peng, Sifan, Yin, Baoqun, Xia, Yinfeng, Yang, Qianqian, Wang, Luyang

“…Crowd counting has been widely applied in various fields including social security, urban planning, and intelligent monitoring. A series of excellent…”
Get full text

Adaptive weighted crowd receptive field network for crowd counting by Peng, Sifan, Wang, Luyang, Yin, Baoqun, Li, Yun, Xia, Yinfeng, Hao, Xiaoliang

“…Crowd counting plays an important role in crowd analysis and monitoring. To this end, we propose a novel method called Adaptive Weighted Crowd Receptive Field…”
Get full text

Depth and edge auxiliary learning for still image crowd density estimation by Peng, Sifan, Yin, Baoqun, Hao, Xiaoliang, Yang, Qianqian, Kumar, Aakash, Wang, Luyang

“…Crowd counting plays a significant role in crowd monitoring and management, which suffers from various challenges, especially in crowd-scale variations and…”
Get full text

Multi‐level feature fusion network for crowd counting by Wang, Luyang, Li, Yun, Peng, Sifan, Tang, Xiao, Yin, Baoqun

“…Crowd counting has become a noteworthy vision task due to the needs of numerous practical applications, but it remains challenging. State‐of‐the‐art methods…”
Get full text

Experimental Measurement on Pebble Flow Discharge in a Hopper Silo Based on a Drainage Method by Liu, Yujia, Peng, Sifan, Gui, Nan, Yang, Xingtuan, Tu, Jiyuan, Jiang, Shengyao

“…The dropping of absorption sphere from the storage vessel under accident conditions and the transportation of spent fuel elements in the reactor will both lead…”
Get full text

CFFNet: Coordinated feature fusion network for crowd counting by Xia, Yinfeng, He, Yuqiang, Peng, Sifan, Yang, Qianqian, Yin, Baoqun

“…Long skip connection or encoder-decoder networks for crowd counting have proven to be effective methods to generate high-resolution density maps. However, the…”
Get full text

Quantitative and comparative study of the effect of drainage mode on solids flow pattern in MPBAC by whole-field residence time distributions by Li, Bin, Gui, Nan, Liu, Yujia, Peng, Sifan, Yang, Xingtuan, Tu, Jiyuan, Jiang, Shengyao

“…Rate-controlled drainages of particles are sometimes necessary in manufacturing since the predetermined proportioning of different raw materials is guaranteed…”
Get full text

Solid-Flow Pattern for Free Drainage in MPBAC Based on Whole-Field Residence Time Distribution by Li, Bin, Liu, Yujia, Peng, Sifan, Gui, Nan, Yang, Xingtuan, Tu, Jiyuan, Jiang, Shengyao

“…The solid-flow pattern of free drainage is important to the design of a silo and prediction of the discharge rate of granular systems, and the flow pattern in…”
Get full text

Exploring density rectification and domain adaption method for crowd counting by Peng, Sifan, Yin, Baoqun, Yang, Qianqian, He, Qing, Wang, Luyang

“…Crowd counting has received increasing attention due to its important roles in multiple fields, such as social security, commercial applications, epidemic…”
Get full text

An improved high accuracy PTV algorithm for pebble flow by Liu, Yujia, Peng, Sifan, Gui, Nan, Yang, Xingtuan, Tu, Jiyuan, Jiang, Shengyao

“…The Particle Tracking Velocimetry (PTV) has a wide range of applications in the field of fluid and particle flow measurement. Due to the uncertainty caused by…”
Get full text

A fast region homogenization method based on experimental data for pebble flow by Liu, Yujia, Liu, Xu, Peng, Sifan, Gui, Nan, Yang, Xingtuan, Tu, Jiyuan, Jiang, Shengyao

“…Particle movement in pebble bed has important applications in engineering. A fast region homogenization method based on experimental silo discharging process…”
Get full text

EDENet: Elaborate density estimation network for crowd counting by Xia, Yinfeng, He, Yuqiang, Peng, Sifan, Hao, Xiaoliang, Yang, Qianqian, Yin, Baoqun

“…For the CNN-based density estimation approaches in the field of crowd counting, how to generate a high-quality density map with accurate counting performance…”
Get full text

Neural network prediction of residence time distribution for quasi-2D pebble flow by Liu, Yujia, Marquardt, Jeremy, Peng, Sifan, Ge, Liang, Gui, Nan, Yang, X.T., Tu, J.Y., Jiang, S.Y., Kim, Seungjin

“…•A quasi-2D pebble bed is built to get quantitative residence time distribution (RTD).•Image identification for large pebbles is achieved by a high-precision…”
Get full text

A morphological image processing method for simultaneous scrutinization of particle position and velocity in pebble flow by Wang, Qian, Gui, Nan, Liu, Yujia, Peng, Sifan, Yang, Xingtuan, Tu, Jiyuan, Jiang, Shengyao

“…•A digital image processing method is proposed to study particle motion features.•It is based on the Lagrange method and can track each particle in images.•It…”
Get full text

Experimental study on the discharge flow rate of binary mixture in a two-dimensional silo by Peng, Sifan, Liu, Yujia, Gui, Nan, Yang, Xingtuan, Tu, Jiyuan, Jiang, Shengyao

“…[Display omitted] •Discharge of binary mixture of sphere and sphere-pair in a 2D silo was studied by PTV.•Key issues of mixture (coordination No (CN),…”
Get full text

VisDrone-CC2021: The Vision Meets Drone Crowd Counting Challenge Results by Liu, Zhihao, He, Zhijian, Wang, Lujia, Wang, Wenguan, Yuan, Yixuan, Zhang, Dingwen, Zhang, Jinglin, Zhu, Pengfei, Gool, Luc Van, Han, Junwei, Hoi, Steven, Hu, Qinghua, Liu, Ming, Pan, Junwen, Yin, Baoqun, Zhang, Binyu, Liu, Chengxin, Ding, Ding, Liang, Dingkang, Ding, Guanchen, Lu, Hao, Lin, Hui, Chen, Jingyuan, Li, Jiong, Liu, Liang, Zhou, Lin, Shi, Min, Yang, Qianqian, He, Qing, Peng, Sifan, Xu, Wei, Han, Wenwei, Bai, Xiang, Chen, Xiwu, Wang, Yabin, Xia, Yinfeng, Tao, Yiran, Chen, Zhenzhong, Cao, Zhiguo

“…Crowding counting research evolves quickly by the lever-age of development in deep learning. Many researchers put their efforts into crowd counting tasks and…”
Get full text

Semi-supervised Crowd Counting based on Patch Crowds Statistics by Peng, Sifan, Yin, Baoqun, Xia, Yinfeng, Yang, Qianqian, Wang, Luyang

“…Crowd counting has been widely applied in various fields including social security, urban planning, and intelligent monitoring. A series of excellent…”
Get full text

Scale-aware and Anti-interference Convolutional Network for Crowd Counting by Yang, Qianqian, Hao, Xiaoliang, Xia, Yinfeng, Peng, Sifan, Yin, Baoqun

“…Crowd counting is a challenging vision task which aims to estimate the count and distribution of the crowd in a single image accurately. To this end, we…”
Get full text