activity
20142023
most citedMulti-Behavior Recommendation with Cascading Graph Convolution Networks

108 citations · 132 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV20232 cited

PosterLayout: A New Benchmark and Approach for Content-aware Visual-Textual Presentation Layout

HsiaoYuan Hsu, Xiangteng He, Yuxin Peng +2

Content-aware visual-textual presentation layout aims at arranging spatial space on the given canvas for pre-defined elements, including text, logo, and underlay, which is a key to…

cs.IR2023108 cited

Multi-Behavior Recommendation with Cascading Graph Convolution Networks

Zhiyong Cheng, Sai Han, Fan Liu +3

Multi-behavior recommendation, which exploits auxiliary behaviors (e.g., click and cart) to help predict users' potential interactions on the target behavior (e.g., buy), is regard…

cs.SD2023

Enhancing Unsupervised Audio Representation Learning via Adversarial Sample Generation

Yulin Pan, Xiangteng He, Biao Gong +2

Existing audio analysis methods generally first transform the audio stream to spectrogram, and then feed it into CNN for further analysis. A standard CNN recognizes specific visual…

cs.CV20229 cited

SIM-Trans: Structure Information Modeling Transformer for Fine-grained Visual Categorization

Hongbo Sun, Xiangteng He, Yuxin Peng

Fine-grained visual categorization (FGVC) aims at recognizing objects from similar subordinate categories, which is challenging and practical for human's accurate automatic recogni…

cs.CV20221 cited

Team PKU-WICT-MIPL PIC Makeup Temporal Video Grounding Challenge 2022 Technical Report

Minghang Zheng, Dejie Yang, Zhongjie Ye +3

In this technical report, we briefly introduce the solutions of our team `PKU-WICT-MIPL' for the PIC Makeup Temporal Video Grounding (MTVG) Challenge in ACM-MM 2022. Given an untri…

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…