activity
20182021
most citedMultiple receptive fields and small-object-focusing weakly-supervised segmentation network for fast object detection

2 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2021

Fashion Focus: Multi-modal Retrieval System for Video Commodity Localization in E-commerce

Yanhao Zhang, Qiang Wang, Pan Pan +4

Nowadays, live-stream and short video shopping in E-commerce have grown exponentially. However, the sellers are required to manually match images of the selling products to the tim…

cs.RO2019

The Field-of-View Constraint of Markers for Mobile Robot with Pan-Tilt Camera

Hongxuan Ma, Wei Zou, Zheng Zhu +2

In the field of navigation and visual servo, it is common to calculate relative pose by feature points on markers, so keeping markers in camera's view is an important problem. In t…

cs.CV20192 cited

Multiple receptive fields and small-object-focusing weakly-supervised segmentation network for fast object detection

Siyang Sun, Yingjie Yin, Xingang Wang +3

Object detection plays an important role in various visual applications. However, the precision and speed of detector are usually contradictory. One main reason for fast detectors'…

cs.CV2019

Multi-loss-aware Channel Pruning of Deep Networks

Yiming Hu, Siyang Sun, Jianquan Li +3

Channel pruning, which seeks to reduce the model size by removing redundant channels, is a popular solution for deep networks compression. Existing channel pruning methods usually…

cs.CV2018

A novel channel pruning method for deep neural network compression

Yiming Hu, Siyang Sun, Jianquan Li +2

In recent years, deep neural networks have achieved great success in the field of computer vision. However, it is still a big challenge to deploy these deep models on resource-cons…