activity
20142024
most citedScale-Invariant Convolutional Neural Networks

106 citations · 170 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

SurroundSDF: Implicit 3D Scene Understanding Based on Signed Distance Field

Lizhe Liu, Bohua Wang, Hongwei Xie +5

Vision-centric 3D environment understanding is both vital and challenging for autonomous driving systems. Recently, object-free methods have attracted considerable attention. Such…

cs.CV2023

Learning cross space mapping via DNN using large scale click-through logs

Wei Yu, Kuiyuan Yang, Yalong Bai +2

The gap between low-level visual signals and high-level semantics has been progressively bridged by continuous development of deep neural network (DNN). With recent progress of DNN…

cs.CV201452 cited

Visualizing and Comparing Convolutional Neural Networks

Wei Yu, Kuiyuan Yang, Yalong Bai +2

Convolutional Neural Networks (CNNs) have achieved comparable error rates to well-trained human on ILSVRC2014 image classification task. To achieve better performance, the complexi…

cs.CV201412 cited

The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification

Tianjun Xiao, Yichong Xu, Kuiyuan Yang +3

Fine-grained classification is challenging because categories can only be discriminated by subtle and local differences. Variances in the pose, scale or rotation usually make the p…

cs.CV2014106 cited

Scale-Invariant Convolutional Neural Networks

Yichong Xu, Tianjun Xiao, Jiaxing Zhang +2

Even though convolutional neural networks (CNN) has achieved near-human performance in various computer vision tasks, its ability to tolerate scale variations is limited. The popul…