Search Results for author: Jiamiao Xu

Found 7 papers, 1 papers with code

CDLT: A Dataset with Concept Drift and Long-Tailed Distribution for Fine-Grained Visual Categorization

no code implementations4 Jun 2023 Shuo Ye, Yufeng Shi, Ruxin Wang, Yu Wang, Jiamiao Xu, Chuanwu Yang, Xinge You

Data is the foundation for the development of computer vision, and the establishment of datasets plays an important role in advancing the techniques of fine-grained visual categorization~(FGVC).

Fine-Grained Visual Categorization

Deep Manifold Hashing: A Divide-and-Conquer Approach for Semi-Paired Unsupervised Cross-Modal Retrieval

no code implementations26 Sep 2022 Yufeng Shi, Xinge You, Jiamiao Xu, Feng Zheng, Qinmu Peng, Weihua Ou

Hashing that projects data into binary codes has shown extraordinary talents in cross-modal retrieval due to its low storage usage and high query speed.

Cross-Modal Retrieval Retrieval

Bootstrap Motion Forecasting With Self-Consistent Constraints

no code implementations ICCV 2023 Maosheng Ye, Jiamiao Xu, Xunnong Xu, Tengfei Wang, Tongyi Cao, Qifeng Chen

Also, to model the multi-modality in motion forecasting, we design a novel self-ensembling scheme to obtain accurate teacher targets to enforce the self-constraints with multi-modality supervision.

Motion Forecasting

Modal Regression based Structured Low-rank Matrix Recovery for Multi-view Learning

no code implementations22 Mar 2020 Jiamiao Xu, Fangzhao Wang, Qinmu Peng, Xinge You, Shuo Wang, Xiao-Yuan Jing, C. L. Philip Chen

Furthermore, recent low-rank modeling provides a satisfactory solution to address data contaminated by predefined assumptions of noise distribution, such as Gaussian or Laplacian distribution.

MULTI-VIEW LEARNING regression +1

Robust Visual Tracking using Multi-Frame Multi-Feature Joint Modeling

1 code implementation19 Nov 2018 Peng Zhang, Shujian Yu, Jiamiao Xu, Xinge You, Xiubao Jiang, Xiao-Yuan Jing, DaCheng Tao

It remains a huge challenge to design effective and efficient trackers under complex scenarios, including occlusions, illumination changes and pose variations.

Multi-Task Learning MULTI-VIEW LEARNING +2

Multi-view Common Component Discriminant Analysis for Cross-view Classification

no code implementations14 May 2018 Xinge You, Jiamiao Xu, Wei Yuan, Xiao-Yuan Jing, DaCheng Tao, Taiping Zhang

Cross-view classification that means to classify samples from heterogeneous views is a significant yet challenging problem in computer vision.

General Classification

Multi-view Hybrid Embedding: A Divide-and-Conquer Approach

no code implementations19 Apr 2018 Jiamiao Xu, Shujian Yu, Xinge You, Mengjun Leng, Xiao-Yuan Jing, C. L. Philip Chen

We present a novel cross-view classification algorithm where the gallery and probe data come from different views.

Classification General Classification

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