no code implementations • 23 Apr 2024 • Jiahe Li, Jiawei Zhang, Xiao Bai, Jin Zheng, Xin Ning, Jun Zhou, Lin Gu
Leveraging the point-based Gaussian Splatting, facial motions can be represented in our method by applying smooth and continuous deformations to persistent Gaussian primitives, without requiring to learn the difficult appearance change like previous methods.
1 code implementation • 4 Apr 2024 • Tianqi Li, Guansong Pang, Xiao Bai, Wenjun Miao, Jin Zheng
Existing prompt learning methods have shown certain capabilities in Out-of-Distribution (OOD) detection, but the lack of OOD images in the target dataset in their training can lead to mismatches between OOD images and In-Distribution (ID) categories, resulting in a high false positive rate.
Out-of-Distribution Detection Out of Distribution (OOD) Detection
1 code implementation • 12 Mar 2024 • Jiawei Zhang, Jiahe Li, Lei Huang, Xiaohan Yu, Lin Gu, Jin Zheng, Xiao Bai
With advancements in domain generalized stereo matching networks, models pre-trained on synthetic data demonstrate strong robustness to unseen domains.
1 code implementation • 11 Mar 2024 • Jiahe Li, Jiawei Zhang, Xiao Bai, Jin Zheng, Xin Ning, Jun Zhou, Lin Gu
Our motivation stems from the highly efficient representation and surprising quality of the recent 3D Gaussian Splatting, despite it will encounter a geometry degradation when input views decrease.
1 code implementation • 17 Dec 2023 • Wenjun Miao, Guansong Pang, Tianqi Li, Xiao Bai, Jin Zheng
To this end, we introduce a novel calibrated outlier class learning (COCL) approach, in which 1) a debiased large margin learning method is introduced in the outlier class learning to distinguish OOD samples from both head and tail classes in the representation space and 2) an outlier-class-aware logit calibration method is defined to enhance the long-tailed classification confidence.
1 code implementation • 16 Dec 2023 • Ruohuan Fang, Guansong Pang, Xiao Bai
This limits their capability in detecting hard objects of small, blurred, or occluded appearance from novel/base categories, whose detection heavily relies on contextual information.
no code implementations • 5 Nov 2023 • Huang Zhang, Changshuo Wang, Shengwei Tian, Baoli Lu, Liping Zhang, Xin Ning, Xiao Bai
Point cloud classification is the basis of point cloud analysis, and many deep learning-based methods have been widely used in this task.
no code implementations • 10 Sep 2023 • Pengcheng Zhang, Xiao Bai, Jin Zheng, Xin Ning
This enables independent learning for different objectives thus fully decoupled the model for persons earch.
1 code implementation • 31 Aug 2023 • Ruohuan Fang, Guansong Pang, Lei Zhou, Xiao Bai, Jin Zheng
Open-World Object Detection (OWOD) extends object detection problem to a realistic and dynamic scenario, where a detection model is required to be capable of detecting both known and unknown objects and incrementally learning newly introduced knowledge.
1 code implementation • ICCV 2023 • Jiahe Li, Jiawei Zhang, Xiao Bai, Jun Zhou, Lin Gu
This paper presents ER-NeRF, a novel conditional Neural Radiance Fields (NeRF) based architecture for talking portrait synthesis that can concurrently achieve fast convergence, real-time rendering, and state-of-the-art performance with small model size.
1 code implementation • 7 Jul 2023 • Tianqi Li, Guansong Pang, Xiao Bai, Jin Zheng, Lei Zhou, Xin Ning
Open-Set Recognition (OSR) is dedicated to addressing the unknown class issue, but existing OSR methods are not designed to model the semantic information of the unseen classes.
1 code implementation • CVPR 2022 • Jiawei Zhang, Xiang Wang, Xiao Bai, Chen Wang, Lei Huang, Yimin Chen, Lin Gu, Jun Zhou, Tatsuya Harada, Edwin R. Hancock
The stereo contrastive feature loss function explicitly constrains the consistency between learned features of matching pixel pairs which are observations of the same 3D points.
1 code implementation • CVPR 2021 • Yang Liu, Lei Zhou, Xiao Bai, Yifei HUANG, Lin Gu, Jun Zhou, Tatsuya Harada
Therefore, we introduce a novel goal-oriented gaze estimation module (GEM) to improve the discriminative attribute localization based on the class-level attributes for ZSL.
no code implementations • ICCV 2021 • Cheng Yan, Guansong Pang, Jile Jiao, Xiao Bai, Xuetao Feng, Chunhua Shen
However, real-world ReID applications typically have highly diverse occlusions and involve a hybrid of occluded and non-occluded pedestrians.
no code implementations • 19 Nov 2020 • Suihanjin Yu, Youmin Zhang, Chen Wang, Xiao Bai, Liang Zhang, Edwin R. Hancock
To address this problem, we introduce a lightweight but effective Global Matching Component (GMC) to grab global matching features.
no code implementations • 22 Sep 2020 • Cheng Yan, Guansong Pang, Xiao Bai, Jun Zhou, Lin Gu
The proposed loss is generic and can be used as a plugin to replace the triplet loss to significantly enhance different types of state-of-the-art approaches.
no code implementations • 16 Sep 2020 • Yang Liu, Lei Zhou, Xiao Bai, Lin Gu, Tatsuya Harada, Jun Zhou
Though many ZSL methods rely on a direct mapping between the visual and the semantic space, the calibration deviation and hubness problem limit the generalization capability to unseen classes.
no code implementations • ACL 2021 • Wasi Uddin Ahmad, Xiao Bai, Soomin Lee, Kai-Wei Chang
Natural language processing techniques have demonstrated promising results in keyphrase generation.
no code implementations • 19 May 2020 • Lu Yu, Shichao Pei, Chuxu Zhang, Shangsong Liang, Xiao Bai, Nitesh Chawla, Xiangliang Zhang
Pairwise ranking models have been widely used to address recommendation problems.
2 code implementations • 31 Mar 2020 • Haotong Qin, Ruihao Gong, Xianglong Liu, Xiao Bai, Jingkuan Song, Nicu Sebe
The binary neural network, largely saving the storage and computation, serves as a promising technique for deploying deep models on resource-limited devices.
no code implementations • CVPR 2020 • Guansong Pang, Cheng Yan, Chunhua Shen, Anton Van Den Hengel, Xiao Bai
Video anomaly detection is of critical practical importance to a variety of real applications because it allows human attention to be focused on events that are likely to be of interest, in spite of an otherwise overwhelming volume of video.
no code implementations • 20 Nov 2019 • Cheng Yan, Guansong Pang, Xiao Bai, Chunhua Shen
The loss structures the augmented images resulted by the two types of image erasing in a two-level hierarchy and enforces multifaceted attention to different parts.
2 code implementations • 9 Sep 2019 • Youmin Zhang, Yimin Chen, Xiao Bai, Suihanjin Yu, Kun Yu, Zhiwei Li, Kuiyuan Yang
However, disparity is just a byproduct of a matching process modeled by cost volume, while indirectly learning cost volume driven by disparity regression is prone to overfitting since the cost volume is under constrained.
no code implementations • 18 Jun 2019 • Dong Wang, Lei Zhou, Xiao Bai, Jun Zhou
Our method accelerates the network in one-step pruning-recovery manner with a novel optimization objective function, which achieves higher accuracy with much less cost compared with existing pruning methods.
no code implementations • 15 Mar 2018 • Lei Zhou, Xiao Bai, Xianglong Liu, Jun Zhou, Hancock Edwin
Therefore, the efficiency and scalability of traditional spectral clustering methods can not be guaranteed for large scale datasets.
no code implementations • 15 Mar 2018 • Dong Wang, Lei Zhou, Xueni Zhang, Xiao Bai, Jun Zhou
In this way, most of the representative information in the network can be retained in each cluster.
1 code implementation • 7 Jul 2017 • Bora Edizel, Amin Mantrach, Xiao Bai
Finally, by combining the predictions of the deep models introduced in this study with the prediction of the model in production of the same commercial search engine, we significantly improve the accuracy and the calibration of the click-through rate prediction of the production system.
no code implementations • 19 May 2016 • Jie Liang, Jun Zhou, Yuntao Qian, Lian Wen, Xiao Bai, Yongsheng Gao
Spectral-spatial processing has been increasingly explored in remote sensing hyperspectral image classification.
no code implementations • CVPR 2015 • Cong Leng, Jiaxiang Wu, Jian Cheng, Xiao Bai, Hanqing Lu
Recently, hashing based approximate nearest neighbor (ANN) search has attracted much attention.
no code implementations • CVPR 2014 • Haichuan Yang, Xiao Bai, Jun Zhou, Peng Ren, Zhihong Zhang, Jian Cheng
Hashing is very useful for fast approximate similarity search on large database.