activity
20172022
most citedCausPref: Causal Preference Learning for Out-of-Distribution Recommendation

49 citations · 86 across the 5 of their papers we have counts for

collaborators

7 papers

cs.CV20225 cited

TransVCL: Attention-enhanced Video Copy Localization Network with Flexible Supervision

Sifeng He, Yue He, Minlong Lu +6

Video copy localization aims to precisely localize all the copied segments within a pair of untrimmed videos in video retrieval applications. Previous methods typically start from…

cs.GR20227 cited

StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D Mutual Learning

Yi-Hua Huang, Yue He, Yu-Jie Yuan +2

3D scene stylization aims at generating stylized images of the scene from arbitrary novel views following a given set of style examples, while ensuring consistency when rendered fr…

cs.LG202249 cited

CausPref: Causal Preference Learning for Out-of-Distribution Recommendation

Yue He, Zimu Wang, Peng Cui +4

In spite of the tremendous development of recommender system owing to the progressive capability of machine learning recently, the current recommender system is still vulnerable to…

cs.LG202121 cited

Deep Stable Learning for Out-Of-Distribution Generalization

Xingxuan Zhang, Peng Cui, Renzhe Xu +3

Approaches based on deep neural networks have achieved striking performance when testing data and training data share similar distribution, but can significantly fail otherwise. Th…

cs.CV2019

One-shot Face Reenactment

Yunxuan Zhang, Siwei Zhang, Yue He +3

To enable realistic shape (e.g. pose and expression) transfer, existing face reenactment methods rely on a set of target faces for learning subject-specific traits. However, in rea…

cs.CV2019

Towards Non-I.I.D. Image Classification: A Dataset and Baselines

Yue He, Zheyan Shen, Peng Cui

I.I.D. hypothesis between training and testing data is the basis of numerous image classification methods. Such property can hardly be guaranteed in practice where the Non-IIDness…