no code implementations • 2 Apr 2024 • Xiang Xiang, Zihan Zhang, Jing Ma, Yao Deng
Parkinson's Disease (PD) is the second most common neurodegenerative disorder.
no code implementations • 30 Mar 2024 • Qian Wan, Xiang Xiang, Qinhao Zhou
Because of its use in practice, open-world object detection (OWOD) has gotten a lot of attention recently.
no code implementations • 29 Mar 2024 • Yuwen Tan, Qinhao Zhou, Xiang Xiang, Ke Wang, Yuchuan Wu, Yongbin Li
We observe that adapter tuning demonstrates superiority over prompt-based methods, even without parameter expansion in each learning session.
no code implementations • 29 Mar 2024 • Qinhao Zhou, Zihan Zhang, Xiang Xiang, Ke Wang, Yuchuan Wu, Yongbin Li
As intelligent agents, LLMs need to have the capabilities of task planning, long-term memory, and the ability to leverage external tools to achieve satisfactory performance.
no code implementations • CVPR 2023 • Zihan Zhang, Xiang Xiang
We demonstrate the effectiveness of our logit-based OOD detection methods on CIFAR-10, CIFAR-100 and ImageNet and establish state-of-the-art performance.
no code implementations • ICCV 2023 • ShouWen Wang, Qian Wan, Xiang Xiang, Zhigang Zeng
In this paper, we propose saliency regularization (SR) for a novel self-training framework.
no code implementations • 21 May 2022 • Zihan Zhang, Xiang Xiang, Xuehua Peng, Jianbo Shao
Neuroblastoma is one of the most common cancers in infants, and the initial diagnosis of this disease is difficult.
no code implementations • 21 May 2022 • Shiqi Li, Xiang Xiang
Recent research on human pose estimation exploits complex structures to improve performance on benchmark datasets, ignoring the resource overhead and inference speed when the model is actually deployed.
no code implementations • 21 May 2022 • Jing Ma, Xiang Xiang, Ke Wang, Yuchuan Wu, Yongbin Li
Black-Box Knowledge Distillation (B2KD) is a formulated problem for cloud-to-edge model compression with invisible data and models hosted on the server.
no code implementations • 14 Mar 2022 • Youming Deng, Yansheng Li, Yongjun Zhang, Xiang Xiang, Jian Wang, Jingdong Chen, Jiayi Ma
After the autonomous partition of coarse and fine predicates, the model is first trained on the coarse predicates and then learns the fine predicates.
no code implementations • 28 Feb 2022 • Zihan Zhang, Xiang Xiang
The real-world data distribution is essentially long-tailed, which poses great challenge to the deep model.
Ranked #14 on Long-tail Learning on CIFAR-100-LT (ρ=10)
no code implementations • 19 Jan 2022 • Jianye Hao, Jiawen Lu, Xijun Li, Xialiang Tong, Xiang Xiang, Mingxuan Yuan, Hankz Hankui Zhuo
The Dynamic Pickup and Delivery Problem (DPDP) is an essential problem within the logistics domain.
1 code implementation • 24 Nov 2021 • Xiang Xiang, Yuwen Tan, Qian Wan, Jing Ma
Such images form a new training set (i. e., support set) so that the incremental model is hoped to recognize a basenji (i. e., query) as a basenji next time.
no code implementations • 19 Apr 2021 • Xin Wei, Runqi Qiu, Houyu Yu, Yurun Yang, Haoyu Tian, Xiang Xiang
This paper addresses the path planning problems for recommending parking spaces, given the difficulties of identifying the most optimal route to vacant parking spaces and the shortest time to leave the parking space.
1 code implementation • 24 Oct 2017 • Wentao Zhu, Xiang Xiang, Trac. D. Tran, Gregory D. Hager, Xiaohui Xie
Mass segmentation provides effective morphological features which are important for mass diagnosis.
3 code implementations • 21 Apr 2017 • Feng Wang, Xiang Xiang, Jian Cheng, Alan L. Yuille
We show that both strategies, and small variants, consistently improve performance by between 0. 2% to 0. 4% on the LFW dataset based on two models.
2 code implementations • 22 Feb 2017 • Feng Wang, Xiang Xiang, Chang Liu, Trac. D. Tran, Austin Reiter, Gregory D. Hager, Harry Quon, Jian Cheng, Alan L. Yuille
In this way, the expression intensity regression task can benefit from the rich feature representations trained on a huge amount of data for face verification.
2 code implementations • 11 Jan 2017 • Xiang Xiang, Trac. D. Tran
Limited annotated data available for the recognition of facial expression and action units embarrasses the training of deep networks, which can learn disentangled invariant features.
1 code implementation • 18 Dec 2016 • Wentao Zhu, Xiang Xiang, Trac. D. Tran, Xiaohui Xie
Experimental results on two public datasets, INbreast and DDSM-BCRP, show that our end-to-end network combined with adversarial training achieves the-state-of-the-art results.
2 code implementations • 22 Sep 2016 • Xiang Xiang, Trac. D. Tran
In this paper, we deal with two challenges for measuring the similarity of the subject identities in practical video-based face recognition - the variation of the head pose in uncontrolled environments and the computational expense of processing videos.
no code implementations • 1 May 2016 • Minh Dao, Xiang Xiang, Bulent Ayhan, Chiman Kwan, Trac. D. Tran
In this paper, we propose a burnscar detection model for hyperspectral imaging (HSI) data.
1 code implementation • 7 Oct 2014 • Xiang Xiang, Minh Dao, Gregory D. Hager, Trac. D. Tran
In this paper, we design a Collaborative-Hierarchical Sparse and Low-Rank (C-HiSLR) model that is natural for recognizing human emotion in visual data.