activity
20182023
most citedSem-LSD: A Learning-based Semantic Line Segment Detector

3 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023

Learning multi-domain feature relation for visible and Long-wave Infrared image patch matching

Xiuwei Zhang, Yanping Li, Zhaoshuai Qi +2

Recently, learning-based algorithms have achieved promising performance on cross-spectral image patch matching, which, however, is still far from satisfactory for practical applica…

cs.CV2023

Learning Task-preferred Inference Routes for Gradient De-conflict in Multi-output DNNs

Yi Sun, Xin Xu, Jian Li +3

Multi-output deep neural networks(MONs) contain multiple task branches, and these tasks usually share partial network filters that lead to the entanglement of different task infere…

cs.RO2022

TransGrasp: Grasp Pose Estimation of a Category of Objects by Transferring Grasps from Only One Labeled Instance

Hongtao Wen, Jianhang Yan, Wanli Peng +1

Grasp pose estimation is an important issue for robots to interact with the real world. However, most of existing methods require exact 3D object models available beforehand or a l…

cs.CV2019★ 3 cited

Sem-LSD: A Learning-based Semantic Line Segment Detector

Yi Sun, Xushen Han, Kai Sun +3

In this paper, we introduces a new type of line-shaped image representation, named semantic line segment (Sem-LS) and focus on solving its detection problem. Sem-LS contains high-l…

stat.ML2018★ 1 cited

Dynamic Hierarchical Empirical Bayes: A Predictive Model Applied to Online Advertising

Yuan Yuan, Xiaojing Dong, Chen Dong +3

Predicting keywords performance, such as number of impressions, click-through rate (CTR), conversion rate (CVR), revenue per click (RPC), and cost per click (CPC), is critical for…