no code implementations • 4 Dec 2024 • Shouwei Ruan, Hanqing Liu, Yao Huang, Xiaoqi Wang, Caixin Kang, Hang Su, Yinpeng Dong, Xingxing Wei
To systematically evaluate VLMs' robustness to real-world 3D variations, we propose AdvDreamer, the first framework that generates physically reproducible adversarial 3D transformation (Adv-3DT) samples from single-view images.
no code implementations • 14 Nov 2024 • Junqi Liu, Yun Zhang, Xiaoqi Wang, Xu Long, Sam Kwong
Just Recognizable Difference (JRD) represents the minimum visual difference that is detectable by machine vision, which can be exploited to promote machine vision oriented visual signal processing.
no code implementations • 17 Sep 2024 • Ziwei Li, Xiaoqi Wang, Hong-You Chen, Han-Wei Shen, Wei-Lun Chao
Federated learning (FL) has rapidly evolved as a promising paradigm that enables collaborative model training across distributed participants without exchanging their local data.
no code implementations • 7 Aug 2024 • Xiaoqi Wang, Yun Zhang
Moreover, our model and its counterpart pre-trained on the proposed dataset respectively exhibited 5. 40% and 13. 23% improvements on across-synthetic datasets evaluation.
1 code implementation • 18 Jun 2024 • Xiaoqi Wang, Yi Wang, Lap-Pui Chau
In this report, we present our champion solution for EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge in CVPR 2024.
no code implementations • CVPR 2024 • Xiaoqi Wang, Wenbin He, Xiwei Xuan, Clint Sebastian, Jorge Piazentin Ono, Xin Li, Sima Behpour, Thang Doan, Liang Gou, Han Wei Shen, Liu Ren
The main challenge in open-vocabulary image segmentation now lies in accurately classifying these segments into text-defined categories.
1 code implementation • 18 Jul 2023 • Xiaoqi Wang, Jian Xiong, Hao Gao, Weisi Lin
Finally, quality prediction is obtained by aggregating the subjective scores of the retrieved instances.
1 code implementation • 15 Sep 2022 • Xiaoqi Wang, Han-Wei Shen
In this paper, we propose a model-agnostic model-level explanation method for different GNNs that follow the message passing scheme, GNNInterpreter, to explain the high-level decision-making process of the GNN model.
no code implementations • 13 Jun 2022 • Xiaoqi Wang, Kevin Yen, Yifan Hu, Han-Wei Shen
There are a few existing methods that have attempted to develop a flexible solution for optimizing different aesthetic aspects measured by different aesthetic criteria.
no code implementations • 16 May 2022 • Yang Liu, Xiaoqi Wang, Xi Wang, Zhen Wang, Jürgen Kurths
We assume that the state of a number of nodes in a network could be investigated if necessary, and study what configuration of those nodes could facilitate a better solution for the diffusion-source-localization (DSL) problem.
2 code implementations • 12 Jan 2022 • Xiaoqi Wang, Yingjie Cheng, Yaning Yang, Yue Yu, Fei Li, Shaoliang Peng
Therefore, we conjecture that the multimodal and local-global combination strategies can be treated as the guideline of multi-task SSL for drug discovery.
no code implementations • 22 Aug 2021 • Liangrui Pan, Boya Ji, Peng Xi, Xiaoqi Wang, Mitchai Chongcheawchamnan, Shaoliang Peng
Diabetic retinopathy(DR) is the main cause of blindness in diabetic patients.
no code implementations • 27 Jun 2021 • Xiaoqi Wang, Kevin Yen, Yifan Hu, Han-Wei Shen
In this paper, we propose a Convolutional Graph Neural Network based deep learning framework, DeepGD, which can draw arbitrary graphs once trained.
no code implementations • 2 Apr 2018 • Weicheng Cai, Zexin Cai, Xiang Zhang, Xiaoqi Wang, Ming Li
A novel learnable dictionary encoding layer is proposed in this paper for end-to-end language identification.
no code implementations • 2 Apr 2018 • Weicheng Cai, Zexin Cai, Wenbo Liu, Xiaoqi Wang, Ming Li
After comparing with the state-of-the-art GMM i-vector methods, we give insights into CNN, and reveal its role and effect in the whole pipeline.