Search Results for author: Hongmin Li

Found 7 papers, 4 papers with code

INT: Towards Infinite-frames 3D Detection with An Efficient Framework

1 code implementation30 Sep 2022 Jianyun Xu, Zhenwei Miao, Da Zhang, Hongyu Pan, Kaixuan Liu, Peihan Hao, Jun Zhu, Zhengyang Sun, Hongmin Li, Xin Zhan

By employing INT on CenterPoint, we can get around 7% (Waymo) and 15% (nuScenes) performance boost with only 2~4ms latency overhead, and currently SOTA on the Waymo 3D Detection leaderboard.

LSEC: Large-scale spectral ensemble clustering

1 code implementation18 Jun 2021 Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai

In LSEC, a large-scale spectral clustering based efficient ensemble generation framework is designed to generate various base clusterings within a low computational complexity.


Divide-and-conquer based Large-Scale Spectral Clustering

1 code implementation30 Apr 2021 Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai

In this paper, we propose a divide-and-conquer based large-scale spectral clustering method to strike a good balance between efficiency and effectiveness.

Clustering Image/Document Clustering

Ensemble Learning for Spectral Clustering

1 code implementation20 Nov 2020 Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai

Instead of directly using the clustering results obtained from each base spectral clustering algorithm, the proposed method learns a robust presentation of graph Laplacian by ensemble learning from the spectral embedding of each base spectral clustering algorithm.

Clustering Ensemble Learning +1

Robust event-stream pattern tracking based on correlative filter

no code implementations17 Mar 2018 Hongmin Li, Luping Shi

Object tracking based on retina-inspired and event-based dynamic vision sensor (DVS) is challenging for the noise events, rapid change of event-stream shape, chaos of complex background textures, and occlusion.

Event-based vision Object +1

Super-resolution of spatiotemporal event-stream image captured by the asynchronous temporal contrast vision sensor

no code implementations7 Feb 2018 Hongmin Li, Guoqi Li, Hanchao Liu, Luping Shi

Firstly, the event number of each pixel of the HR DVS image is determined with a sparse signal representation based method to obtain the HR event-count map from that of the LR DVS recording.

Event-based vision Super-Resolution

Real-time Tracking Based on Neuromrophic Vision

no code implementations18 Oct 2015 Hongmin Li, Pei Jing, Guoqi Li

Neuromorphic vision is a concept defined by incorporating neuromorphic vision sensors such as silicon retinas in vision processing system.

Cannot find the paper you are looking for? You can Submit a new open access paper.