1 code implementation • 10 Sep 2021 • Wenbin Li, Ziyi, Wang, Xuesong Yang, Chuanqi Dong, Pinzhuo Tian, Tiexin Qin, Jing Huo, Yinghuan Shi, Lei Wang, Yang Gao, Jiebo Luo
Furthermore, based on LibFewShot, we provide comprehensive evaluations on multiple benchmarks with various backbone architectures to evaluate common pitfalls and effects of different training tricks.
1 code implementation • CVPR 2019 • Wenbin Li, Lei Wang, Jinglin Xu, Jing Huo, Yang Gao, Jiebo Luo
Its key difference from the literature is the replacement of the image-level feature based measure in the final layer by a local descriptor based image-to-class measure.
1 code implementation • ICCV 2021 • Zheng Gu, Wenbin Li, Jing Huo, Lei Wang, Yang Gao
Given only a few available images for a novel unseen category, few-shot image generation aims to generate more data for this category.
1 code implementation • ICCV 2021 • Jing Huo, Shiyin Jin, Wenbin Li, Jing Wu, Yu-Kun Lai, Yinghuan Shi, Yang Gao
In this paper, we make a new assumption that image features from the same semantic region form a manifold and an image with multiple semantic regions follows a multi-manifold distribution.
2 code implementations • 1 Oct 2020 • Zheng Gu, Chuanqi Dong, Jing Huo, Wenbin Li, Yang Gao
Previous caricature generation methods are obsessed with predicting definite image warping from a given photo while ignoring the intrinsic representation and distribution for exaggerations in caricatures.
1 code implementation • CVPR 2023 • Wenbin Li, Zhichen Fan, Jing Huo, Yang Gao
Specifically, we propose an inter-class sKLD constraint to effectively exploit the disjoint relationship between labelled and unlabelled classes, enforcing the separability for different classes in the embedding space.
1 code implementation • 26 Aug 2023 • Yanqi Bao, Tianyu Ding, Jing Huo, Wenbin Li, Yuxin Li, Yang Gao
By utilizing multiple plug-and-play HyperNet modules, InsertNeRF dynamically tailors NeRF's weights to specific reference scenes, transforming multi-scale sampling-aware features into scene-specific representations.
1 code implementation • 17 Apr 2018 • Haodi Hou, Jing Huo, Yang Gao
This makes the proposed framework different from the current work of cross-domain transformation.
1 code implementation • 5 Aug 2023 • Yanqi Bao, Yuxin Li, Jing Huo, Tianyu Ding, Xinyue Liang, Wenbin Li, Yang Gao
Neural Radiance Fields from Sparse input} (NeRF-S) have shown great potential in synthesizing novel views with a limited number of observed viewpoints.
1 code implementation • ECCV 2020 • Wen Ji, Kelei He, Jing Huo, Zheng Gu, Yang Gao
The implementation of the proposed method is available at https://github. com/KeleiHe/DAAN.
1 code implementation • 16 Nov 2019 • Wenbin Li, Lei Wang, Xingxing Zhang, Lei Qi, Jing Huo, Yang Gao, Jiebo Luo
(2) how to narrow the distribution gap between clean and adversarial examples under the few-shot setting?
1 code implementation • 17 May 2021 • Kelei He, Wen Ji, Tao Zhou, Zhuoyuan Li, Jing Huo, Xin Zhang, Yang Gao, Dinggang Shen, Bing Zhang, Junfeng Zhang
Specifically, a bidirectional image synthesis and segmentation module is proposed to segment the brain tumor using the intermediate data distributions generated for the two domains, which includes an image-to-image translator and a shared-weighted segmentation network.
1 code implementation • 17 Mar 2024 • Shumeng Li, Lei Qi, Qian Yu, Jing Huo, Yinghuan Shi, Yang Gao
Segment Anything Model (SAM) fine-tuning has shown remarkable performance in medical image segmentation in a fully supervised manner, but requires precise annotations.
1 code implementation • 22 Jul 2021 • Wenbin Li, Xuesong Yang, Meihao Kong, Lei Wang, Jing Huo, Yang Gao, Jiebo Luo
However, in small data regimes, we can not obtain a sufficient number of negative pairs or effectively avoid the over-fitting problem when negatives are not used at all.
1 code implementation • 15 May 2018 • Wenbin Li, Yanfang Liu, Jing Huo, Yinghuan Shi, Yang Gao, Lei Wang, Jiebo Luo
Furthermore, in a progressively and nonlinearly learning way, MLOML has a stronger learning ability than traditional online metric learning in the case of limited available training data.
no code implementations • 11 Apr 2018 • Lei Qi, Jing Huo, Lei Wang, Yinghuan Shi, Yang Gao
Lastly, considering person retrieval is a special image retrieval task, we propose a novel ranking loss to optimize the whole network.
no code implementations • 9 Mar 2017 • Jing Huo, Wenbin Li, Yinghuan Shi, Yang Gao, Hujun Yin
In this paper, a new caricature dataset is built, with the objective to facilitate research in caricature recognition.
no code implementations • 29 Sep 2016 • Wenbin Li, Yang Gao, Lei Wang, Luping Zhou, Jing Huo, Yinghuan Shi
To achieve a low computational cost when performing online metric learning for large-scale data, we present a one-pass closed-form solution namely OPML in this paper.
no code implementations • 1 Nov 2018 • Wenbin Li, Wei Xiong, Haofu Liao, Jing Huo, Yang Gao, Jiebo Luo
Furthermore, an attention mechanism is introduced to encourage our model to focus on the key facial parts so that more vivid details in these regions can be generated.
no code implementations • ICCV 2019 • Lei Qi, Lei Wang, Jing Huo, Luping Zhou, Yinghuan Shi, Yang Gao
For the first issue, we highlight the presence of camera-level sub-domains as a unique characteristic of person Re-ID, and develop camera-aware domain adaptation to reduce the discrepancy not only between source and target domains but also across these sub-domains.
Ranked #19 on Unsupervised Domain Adaptation on Market to Duke
no code implementations • 2 Aug 2019 • Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Xin Geng, Yang Gao
To achieve the camera alignment, we develop a Multi-Camera Adversarial Learning (MCAL) to map images of different cameras into a shared subspace.
no code implementations • 14 Aug 2019 • Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao
Moreover, in the training process, we adopt the joint learning scheme to simultaneously train each branch by the independent loss function, which can enhance the generalization ability of each branch.
no code implementations • 15 Aug 2019 • Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao
In this paper, we focus on the semi-supervised person re-identification (Re-ID) case, which only has the intra-camera (within-camera) labels but not inter-camera (cross-camera) labels.
no code implementations • 7 Jan 2020 • Haodi Hou, Jing Huo, Jing Wu, Yu-Kun Lai, Yang Gao
Given an input face photo, the goal of caricature generation is to produce stylized, exaggerated caricatures that share the same identity as the photo.
no code implementations • 1 Feb 2020 • Wenbin Li, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao, Jiebo Luo
Given the natural asymmetric relation between a query image and a support class, we argue that an asymmetric measure is more suitable for metric-based few-shot learning.
no code implementations • 15 May 2020 • Kelei He, Chunfeng Lian, Ehsan Adeli, Jing Huo, Yang Gao, Bing Zhang, Junfeng Zhang, Dinggang Shen
Therefore, the proposed network has a dual-branch architecture that tackles two tasks: 1) a segmentation sub-network aiming to generate the prostate segmentation, and 2) a voxel-metric learning sub-network aiming to improve the quality of the learned feature space supervised by a metric loss.
no code implementations • 29 Sep 2021 • Changbin Shao, Wenbin Li, ZhenHua Feng, Jing Huo, Yang Gao
To boost the robustness of a model against adversarial examples, adversarial training has been regarded as a benchmark method.
no code implementations • 25 Mar 2022 • Meihao Kong, Jing Huo, Wenbin Li, Jing Wu, Yu-Kun Lai, Yang Gao
(2) Using iterative magnitude pruning, we find the matching subnetworks at 89. 2% sparsity in AdaIN and 73. 7% sparsity in SANet, which demonstrates that style transfer models can play lottery tickets too.
no code implementations • 26 Nov 2022 • Wenbin Li, Meihao Kong, Xuesong Yang, Lei Wang, Jing Huo, Yang Gao, Jiebo Luo
In this study, we present a new unified contrastive learning representation framework (named UniCLR) suitable for all the above four kinds of methods from a novel perspective of basic affinity matrix.
no code implementations • 28 Sep 2023 • Zixuan Chen, Ze Ji, Shuyang Liu, Jing Huo, Yiyu Chen, Yang Gao
Heuristically, we extend the usual notion of action to a dual Cognition (high-level)-Action (low-level) architecture by introducing intuitive human cognitive priors, and propose a novel skill IL framework through human-robot interaction, called Cognition-Action-based Skill Imitation Learning (CasIL), for the robotic agent to effectively cognize and imitate the critical skills from raw visual demonstrations.
1 code implementation • 31 Mar 2024 • Wenxiao Deng, Wenbin Li, Tianyu Ding, Lei Wang, Hongguang Zhang, Kuihua Huang, Jing Huo, Yang Gao
However, these methods face two primary limitations: the dispersed feature distribution within the same class in synthetic datasets, reducing class discrimination, and an exclusive focus on mean feature consistency, lacking precision and comprehensiveness.
no code implementations • 10 Apr 2024 • Dongdong Ren, Wenbin Li, Tianyu Ding, Lei Wang, Qi Fan, Jing Huo, Hongbing Pan, Yang Gao
However, the practical application of these algorithms across various models and platforms remains a significant challenge.