most citedRenderMe-360: A Large Digital Asset Library and Benchmarks Towards High-fidelity Head Avatars

5 citations · 9 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2023

From Hypergraph Energy Functions to Hypergraph Neural Networks

Yuxin Wang, Quan Gan, Xipeng Qiu +2

Hypergraphs are a powerful abstraction for representing higher-order interactions between entities of interest. To exploit these relationships in making downstream predictions, a v…

cs.CV2023★ 5 cited

RenderMe-360: A Large Digital Asset Library and Benchmarks Towards High-fidelity Head Avatars

Dongwei Pan, Long Zhuo, Jingtan Piao +13

Synthesizing high-fidelity head avatars is a central problem for computer vision and graphics. While head avatar synthesis algorithms have advanced rapidly, the best ones still fac…

stat.ML2023★ 1 cited

GAR: Generalized Autoregression for Multi-Fidelity Fusion

Yuxin Wang, Zheng Xing, Wei W. Xing

In many scientific research and engineering applications where repeated simulations of complex systems are conducted, a surrogate is commonly adopted to quickly estimate the whole…

cs.CL2022

Discovering New Intents Using Latent Variables

Yunhua Zhou, Peiju Liu, Yuxin Wang +1

Discovering new intents is of great significance to establishing Bootstrapped Task-Oriented Dialogue System. Most existing methods either lack the ability to transfer prior knowled…

cs.CL2022

The Open-World Lottery Ticket Hypothesis for OOD Intent Classification

Yunhua Zhou, Pengyu Wang, Peiju Liu +2

Most existing methods of Out-of-Domain (OOD) intent classification rely on extensive auxiliary OOD corpora or specific training paradigms. However, they are underdeveloped in the u…

cs.RO2022★ 3 cited

Relay Hindsight Experience Replay: Self-Guided Continual Reinforcement Learning for Sequential Object Manipulation Tasks with Sparse Rewards

Yongle Luo, Yuxin Wang, Kun Dong +4

Exploration with sparse rewards remains a challenging research problem in reinforcement learning (RL). Especially for sequential object manipulation tasks, the RL agent always rece…