Search Results for author: Xiangyuan Lan

Found 11 papers, 5 papers with code

CricaVPR: Cross-image Correlation-aware Representation Learning for Visual Place Recognition

1 code implementation29 Feb 2024 Feng Lu, Xiangyuan Lan, Lijun Zhang, Dongmei Jiang, YaoWei Wang, Chun Yuan

Over the past decade, most methods in visual place recognition (VPR) have used neural networks to produce feature representations.

Representation Learning Visual Place Recognition

Deep Homography Estimation for Visual Place Recognition

1 code implementation25 Feb 2024 Feng Lu, Shuting Dong, Lijun Zhang, Bingxi Liu, Xiangyuan Lan, Dongmei Jiang, Chun Yuan

Moreover, we design a re-projection error of inliers loss to train the DHE network without additional homography labels, which can also be jointly trained with the backbone network to help it extract the features that are more suitable for local matching.

Homography Estimation Re-Ranking +1

Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition

1 code implementation22 Feb 2024 Feng Lu, Lijun Zhang, Xiangyuan Lan, Shuting Dong, YaoWei Wang, Chun Yuan

Experimental results show that our method outperforms the state-of-the-art methods with less training data and training time, and uses about only 3% retrieval runtime of the two-stage VPR methods with RANSAC-based spatial verification.

Re-Ranking Visual Place Recognition

Strip-MLP: Efficient Token Interaction for Vision MLP

1 code implementation ICCV 2023 Guiping Cao, Shengda Luo, Wenjian Huang, Xiangyuan Lan, Dongmei Jiang, YaoWei Wang, JianGuo Zhang

Finally, based on the Strip MLP layer, we propose a novel \textbf{L}ocal \textbf{S}trip \textbf{M}ixing \textbf{M}odule (LSMM) to boost the token interaction power in the local region.

Continuous Prediction of Lower-Limb Kinematics From Multi-Modal Biomedical Signals

no code implementations22 Mar 2021 Chunzhi Yi, Feng Jiang, Shengping Zhang, Hao Guo, Chifu Yang, Zhen Ding, Baichun Wei, Xiangyuan Lan, Huiyu Zhou

Challenges of exoskeletons motor intent decoding schemes remain in making a continuous prediction to compensate for the hysteretic response caused by mechanical transmission.

Take More Positives: An Empirical Study of Contrastive Learing in Unsupervised Person Re-Identification

no code implementations12 Jan 2021 Xuanyu He, Wei zhang, Ran Song, Qian Zhang, Xiangyuan Lan, Lin Ma

By studying two unsupervised person re-ID methods in a cross-method way, we point out a hard negative problem is handled implicitly by their designs of data augmentations and PK sampler respectively.

Contrastive Learning Unsupervised Person Re-Identification

Regularized Fine-grained Meta Face Anti-spoofing

1 code implementation25 Nov 2019 Rui Shao, Xiangyuan Lan, Pong C. Yuen

Besides, to further enhance the generalization ability of our model, the proposed framework adopts a fine-grained learning strategy that simultaneously conducts meta-learning in a variety of domain shift scenarios in each iteration.

Domain Generalization Face Anti-Spoofing +2

Multi-Cue Visual Tracking Using Robust Feature-Level Fusion Based on Joint Sparse Representation

no code implementations CVPR 2014 Xiangyuan Lan, Andy J. Ma, Pong C. Yuen

The use of multiple features for tracking has been proved as an effective approach because limitation of each feature could be compensated.

Visual Tracking

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