activity
20182024
most citedInvestigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering

69 citations · 85 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV20241 cited

StyleTalk++: A Unified Framework for Controlling the Speaking Styles of Talking Heads

Suzhen Wang, Yifeng Ma, Yu Ding +5

Individuals have unique facial expression and head pose styles that reflect their personalized speaking styles. Existing one-shot talking head methods cannot capture such personali…

cs.CV2022

FlowFace: Semantic Flow-guided Shape-aware Face Swapping

Hao Zeng, Wei Zhang, Changjie Fan +7

In this work, we propose a semantic flow-guided two-stage framework for shape-aware face swapping, namely FlowFace. Unlike most previous methods that focus on transferring the sour…

cs.CV20226 cited

Facial Action Unit Detection and Intensity Estimation from Self-supervised Representation

Bowen Ma, Rudong An, Wei Zhang +6

As a fine-grained and local expression behavior measurement, facial action unit (FAU) analysis (e.g., detection and intensity estimation) has been documented for its time-consuming…

cs.IR202269 cited

Investigating Accuracy-Novelty Performance for Graph-based Collaborative Filtering

Minghao Zhao, Le Wu, Yile Liang +7

Recent years have witnessed the great accuracy performance of graph-based Collaborative Filtering (CF) models for recommender systems. By taking the user-item interaction behavior…

cs.AI20208 cited

Fever Basketball: A Complex, Flexible, and Asynchronized Sports Game Environment for Multi-agent Reinforcement Learning

Hangtian Jia, Yujing Hu, Yingfeng Chen +4

The development of deep reinforcement learning (DRL) has benefited from the emergency of a variety type of game environments where new challenging problems are proposed and new alg…

cs.LG20191 cited

Reinforcement Learning Experience Reuse with Policy Residual Representation

Wen-Ji Zhou, Yang Yu, Yingfeng Chen +4

Experience reuse is key to sample-efficient reinforcement learning. One of the critical issues is how the experience is represented and stored. Previously, the experience can be st…