Search Results for author: Feifan Wang

Found 7 papers, 4 papers with code

Unveiling the Power of Self-supervision for Multi-view Multi-human Association and Tracking

no code implementations31 Jan 2024 Wei Feng, Feifan Wang, Ruize Han, Zekun Qian, Song Wang

Multi-view multi-human association and tracking (MvMHAT), is a new but important problem for multi-person scene video surveillance, aiming to track a group of people over time in each view, as well as to identify the same person across different views at the same time, which is different from previous MOT and multi-camera MOT tasks only considering the over-time human tracking.

Self-Learning Self-Supervised Learning

From a Bird's Eye View to See: Joint Camera and Subject Registration without the Camera Calibration

no code implementations19 Dec 2022 Zekun Qian, Ruize Han, Wei Feng, Feifan Wang, Song Wang

We tackle a new problem of multi-view camera and subject registration in the bird's eye view (BEV) without pre-given camera calibration.

Camera Calibration Camera Localization

Connecting the Complementary-View Videos: Joint Camera Identification and Subject Association

1 code implementation CVPR 2022 Ruize Han, Yiyang Gan, Jiacheng Li, Feifan Wang, Wei Feng, Song Wang

In this paper, we develop a new approach that can simultaneously handle three tasks: i) localizing the side-view camera in the top view; ii) estimating the view direction of the side-view camera; iii) detecting and associating the same subjects on the ground across the complementary views.

Position

Towards Toxic and Narcotic Medication Detection with Rotated Object Detector

1 code implementation19 Oct 2021 Jiao Peng, Feifan Wang, Zhongqiang Fu, Yiying Hu, Zichen Chen, Xinghan Zhou, Lijun Wang

Recent years have witnessed the advancement of deep learning vision technologies and applications in the medical industry.

Management

Engineering the light coupling between metalens and photonic crystal resonators for robust on-chip microsystems

no code implementations9 Mar 2021 Yahui Xiao, Zi Wang, Feifan Wang, Hwaseob Lee, Thomas Kananen, Tingyi Gu

We designed an on-chip transformative optic system of a metalens-photonic crystal resonator metasystem on a foundry compatible silicon photonic platform.

Optics

3D U-Net Based Brain Tumor Segmentation and Survival Days Prediction

2 code implementations15 Sep 2019 Feifan Wang, Runzhou Jiang, Liqin Zheng, Chun Meng, Bharat Biswal

Dice coefficients for enhancing tumor, tumor core, and the whole tumor are 0. 737, 0. 807 and 0. 894 respectively on the validation dataset.

Brain Tumor Segmentation Tumor Segmentation

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