activity
20182023
most citedSolution for Large-Scale Hierarchical Object Detection Datasets with Incomplete Annotation and Data Imbalance

16 citations · 37 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IR2023★ 16 cited

Multi-Scenario Ranking with Adaptive Feature Learning

Yu Tian, Bofang Li, Si Chen +6

Recently, Multi-Scenario Learning (MSL) is widely used in recommendation and retrieval systems in the industry because it facilitates transfer learning from different scenarios, mi…

cs.IR2022

Visual Encoding and Debiasing for CTR Prediction

Si Chen, Chen Lin, Wanxian Guan +7

Extracting expressive visual features is crucial for accurate Click-Through-Rate (CTR) prediction in visual search advertising systems. Current commercial systems use off-the-shelf…

cs.CV2022★ 2 cited

Beyond Bounding Box: Multimodal Knowledge Learning for Object Detection

Weixin Feng, Xingyuan Bu, Chenchen Zhang +1

Multimodal supervision has achieved promising results in many visual language understanding tasks, where the language plays an essential role as a hint or context for recognizing a…

cs.CV2021★ 3 cited

Training Generative Adversarial Networks in One Stage

Chengchao Shen, Youtan Yin, Xinchao Wang +3

Generative Adversarial Networks (GANs) have demonstrated unprecedented success in various image generation tasks. The encouraging results, however, come at the price of a cumbersom…

cs.CV2018★ 16 cited

Solution for Large-Scale Hierarchical Object Detection Datasets with Incomplete Annotation and Data Imbalance

Yuan Gao, Xingyuan Bu, Yang Hu +4

This report demonstrates our solution for the Open Images 2018 Challenge. Based on our detailed analysis on the Open Images Datasets (OID), it is found that there are four typical…