Search Results for author: Haoyu Xie

Found 9 papers, 4 papers with code

PRCL: Probabilistic Representation Contrastive Learning for Semi-Supervised Semantic Segmentation

no code implementations28 Feb 2024 Haoyu Xie, Changqi Wang, Jian Zhao, Yang Liu, Jun Dan, Chong Fu, Baigui Sun

To address this issue, we propose a robust contrastive-based S4 framework, termed the Probabilistic Representation Contrastive Learning (PRCL) framework to enhance the robustness of the unsupervised training process.

Contrastive Learning Semi-Supervised Semantic Segmentation

LiDAR-based 4D Occupancy Completion and Forecasting

1 code implementation17 Oct 2023 Xinhao Liu, Moonjun Gong, Qi Fang, Haoyu Xie, Yiming Li, Hang Zhao, Chen Feng

In this paper, we introduce a novel LiDAR perception task of Occupancy Completion and Forecasting (OCF) in the context of autonomous driving to unify these aspects into a cohesive framework.

Autonomous Driving Hallucination

FaceChain: A Playground for Human-centric Artificial Intelligence Generated Content

1 code implementation28 Aug 2023 Yang Liu, Cheng Yu, Lei Shang, Yongyi He, Ziheng Wu, Xingjun Wang, Chao Xu, Haoyu Xie, Weida Wang, Yuze Zhao, Lin Zhu, Chen Cheng, Weitao Chen, Yuan YAO, Wenmeng Zhou, Jiaqi Xu, Qiang Wang, Yingda Chen, Xuansong Xie, Baigui Sun

In this paper, we present FaceChain, a personalized portrait generation framework that combines a series of customized image-generation model and a rich set of face-related perceptual understanding models (\eg, face detection, deep face embedding extraction, and facial attribute recognition), to tackle aforementioned challenges and to generate truthful personalized portraits, with only a handful of portrait images as input.

Attribute Potrait Generation +1

TransFace: Calibrating Transformer Training for Face Recognition from a Data-Centric Perspective

1 code implementation ICCV 2023 Jun Dan, Yang Liu, Haoyu Xie, Jiankang Deng, Haoran Xie, Xuansong Xie, Baigui Sun

We investigate the reasons for this phenomenon and discover that the existing data augmentation approach and hard sample mining strategy are incompatible with ViTs-based FR backbone due to the lack of tailored consideration on preserving face structural information and leveraging each local token information.

Data Augmentation Face Recognition

Space Engage: Collaborative Space Supervision for Contrastive-based Semi-Supervised Semantic Segmentation

no code implementations ICCV 2023 Changqi Wang, Haoyu Xie, Yuhui Yuan, Chong Fu, Xiangyu Yue

To improve the robustness of representations, powerful methods introduce a pixel-wise contrastive learning approach in latent space (i. e., representation space) that aggregates the representations to their prototypes in a fully supervised manner.

Contrastive Learning Semi-Supervised Semantic Segmentation

Boosting Semi-Supervised Semantic Segmentation with Probabilistic Representations

1 code implementation26 Oct 2022 Haoyu Xie, Changqi Wang, Mingkai Zheng, Minjing Dong, Shan You, Chong Fu, Chang Xu

In prevalent pixel-wise contrastive learning solutions, the model maps pixels to deterministic representations and regularizes them in the latent space.

Contrastive Learning Semi-Supervised Semantic Segmentation

Uncertainty-Aware Deep Co-training for Semi-supervised Medical Image Segmentation

no code implementations23 Nov 2021 Xu Zheng, Chong Fu, Haoyu Xie, Jialei Chen, Xingwei Wang, Chiu-Wing Sham

However, due to the scarcity of labeled data, the features extracted by the models are limited in supervised learning, and the quality of predictions for unlabeled data also cannot be guaranteed.

Image Segmentation Semantic Segmentation +1

Dense Global Context Aware RCNN for Object Detection

no code implementations1 Jan 2021 Wenchao Zhang, Haoyu Xie, Mai Zhu, Chong Fu

RoIPool/RoIAlign is an indispensable process for the typical two-stage object detection algorithm, it is used to rescale the object proposal cropped from the feature pyramid to generate a fixed size feature map.

Object object-detection +1

Global Context Aware RCNN for Object Detection

no code implementations4 Dec 2020 Wenchao Zhang, Chong Fu, Haoyu Xie, Mai Zhu, Ming Tie, Junxin Chen

The core component of our GCA framework is a context aware mechanism, in which both global feature pyramid and attention strategies are used for feature extraction and feature refinement, respectively.

Object object-detection +1

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