Search Results for author: Yifei Xu

Found 7 papers, 4 papers with code

Sound2Synth: Interpreting Sound via FM Synthesizer Parameters Estimation

1 code implementation6 May 2022 Zui Chen, Yansen Jing, Shengcheng Yuan, Yifei Xu, Jian Wu, Hang Zhao

Synthesizer is a type of electronic musical instrument that is now widely used in modern music production and sound design.

Audio Classification Audio Signal Processing

MHSCNet: A Multimodal Hierarchical Shot-aware Convolutional Network for Video Summarization

no code implementations18 Apr 2022 Wujiang Xu, Shaoshuai Li, Qiongxu Ma, Yunan Zhao, Sheng Guo, Xiaobo Guo, Bing Han, Junchi Yan, Yifei Xu

However, the optimal video summaries need to reflect the most valuable keyframe with its own information, and one with semantic power of the whole content.

Video Summarization

SAS: Self-Augmentation Strategy for Language Model Pre-training

1 code implementation14 Jun 2021 Yifei Xu, Jingqiao Zhang, Ru He, Liangzhu Ge, Chao Yang, Cheng Yang, Ying Nian Wu

In this paper, we propose a self-augmentation strategy (SAS) where a single network is utilized for both regular pre-training and contextualized data augmentation for the training in later epochs.

Data Augmentation Language Modelling +2

Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification

1 code implementation CVPR 2021 Jianwen Xie, Yifei Xu, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu

We propose a generative model of unordered point sets, such as point clouds, in the form of an energy-based model, where the energy function is parameterized by an input-permutation-invariant bottom-up neural network.

General Classification Point Cloud Classification +2

Energy-Based Continuous Inverse Optimal Control

no code implementations10 Apr 2019 Yifei Xu, Jianwen Xie, Tianyang Zhao, Chris Baker, Yibiao Zhao, Ying Nian Wu

The problem of continuous inverse optimal control (over finite time horizon) is to learn the unknown cost function over the sequence of continuous control variables from expert demonstrations.

Autonomous Driving Continuous Control +1

Multi-Agent Tensor Fusion for Contextual Trajectory Prediction

1 code implementation CVPR 2019 Tianyang Zhao, Yifei Xu, Mathew Monfort, Wongun Choi, Chris Baker, Yibiao Zhao, Yizhou Wang, Ying Nian Wu

Specifically, the model encodes multiple agents' past trajectories and the scene context into a Multi-Agent Tensor, then applies convolutional fusion to capture multiagent interactions while retaining the spatial structure of agents and the scene context.

Autonomous Driving Trajectory Prediction

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