Search Results for author: Yifei Xu

Found 10 papers, 6 papers with code

Click on Mask: A Labor-efficient Annotation Framework with Level Set for Infrared Small Target Detection

1 code implementation19 Oct 2023 Haoqing Li, Jinfu Yang, Yifei Xu, Runshi Wang

Due to the small size of infrared targets, manual annotation consumes more resources and restricts the development of this field.

ILNet: Low-level Matters for Salient Infrared Small Target Detection

1 code implementation24 Sep 2023 Haoqing Li, Jinfu Yang, Runshi Wang, Yifei Xu

Due to the dearth of high-level semantic information, small infrared target features are weakened in the deep layers of the CNN, which underachieves the CNN's representation ability.

Ensemble Learning

A Tale of Two Latent Flows: Learning Latent Space Normalizing Flow with Short-run Langevin Flow for Approximate Inference

no code implementations23 Jan 2023 Jianwen Xie, Yaxuan Zhu, Yifei Xu, Dingcheng Li, Ping Li

We study a normalizing flow in the latent space of a top-down generator model, in which the normalizing flow model plays the role of the informative prior model of the generator.

Anomaly Detection Image Inpainting +1

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

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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