no code implementations • 13 Feb 2020 • Pei-Gen Ye, Yuan-Gen Wang, Jin Li, Liang Xiao
This letter presents a fast reinforcement learning algorithm for anti-jamming communications which chooses previous action with probability $\tau$ and applies $\epsilon$-greedy with probability $(1-\tau)$.
no code implementations • 22 Aug 2021 • Fengchuang Xing, Yuan-Gen Wang, Hanpin Wang, Leida Li, Guopu Zhu
To capture the long-range spatiotemporal dependencies of a video sequence, StarVQA encodes the space-time position information of each patch to the input of the Transformer.
no code implementations • 21 May 2022 • Zechen Liang, Yuan-Gen Wang, Wei Lu, Xiaochun Cao
Semi-Supervised Learning (SSL) has advanced classification tasks by inputting both labeled and unlabeled data to train a model jointly.
1 code implementation • 5 Jul 2022 • Dan Wang, Jiayu Lin, Yuan-Gen Wang
However, existing BA methods craft adversarial examples by leveraging a simple random sampling (SRS) to estimate the gradient, consuming a large number of model queries.
no code implementations • 9 Oct 2022 • Ao-Xiang Zhang, Yuan-Gen Wang, Weixuan Tang, Leida Li, Sam Kwong
Based on the revisited HVS, a no-reference VQA framework called HVS-5M (NRVQA framework with five modules simulating HVS with five characteristics) is proposed.
Ranked #6 on Video Quality Assessment on LIVE-FB LSVQ
no code implementations • 16 Oct 2022 • Chao Zhou, Yuan-Gen Wang, Guopu Zhu
Specifically, we first generate an object region by intersecting the object detection region from YOLOv4 with the salient object detection (SOD) region from HVPNet.
no code implementations • 22 Jul 2023 • Jiancong Feng, Yuan-Gen Wang, Fengchuang Xing
Based on this finding, we create a new network architecture by integrating depth-wise convolution with channel attention without the blur kernel estimation, resulting in a performance improvement instead.
no code implementations • 28 Jan 2024 • Xiaowen Shi, Yuan-Gen Wang
In this article, we make the first attempt to adapt the diffusion model to the UIE task and propose a Content-Preserving Diffusion Model (CPDM) to address the above challenges.
no code implementations • 27 Feb 2024 • Yu Ran, Ao-Xiang Zhang, Mingjie Li, Weixuan Tang, Yuan-Gen Wang
Specifically, we first formulate the attack problem as maximizing the deviation between the estimated quality scores of original and perturbed images, while restricting the perturbed image distortions for visual quality preservation.
no code implementations • 23 Apr 2024 • Tianwei Zhou, Songbai Tan, Wei Zhou, Yu Luo, Yuan-Gen Wang, Guanghui Yue
Specifically, inspired by the characteristics of the human visual system and motivated by the observation that "visual quality" and "authenticity" are characterized by both local and global aspects, AMFF-Net scales the image up and down and takes the scaled images and original-sized image as the inputs to obtain multi-scale features.
1 code implementation • 21 Jun 2023 • Fengchuang Xing, Yuan-Gen Wang, Weixuan Tang, Guopu Zhu, Sam Kwong
Self-attention based Transformer has achieved great success in many computer vision tasks.
1 code implementation • 21 May 2022 • Jiayu Lin, Yuan-Gen Wang, Wenzhi Tang, Aifeng Li
Then the proposed SDFF module integrates structure features into texture features, and meanwhile uses texture features as an auxiliary in generating structure features.
1 code implementation • NeurIPS 2023 • Ao-Xiang Zhang, Yu Ran, Weixuan Tang, Yuan-Gen Wang
In this paper, we make the first attempt to evaluate the robustness of NR-VQA models against adversarial attacks, and propose a patch-based random search method for black-box attack.
1 code implementation • 24 Nov 2019 • Fu-Zhao Ou, Yuan-Gen Wang, Jin Li, Guopu Zhu, Sam Kwong
First, to extend the authentically distorted image dataset, we present an imaging-heuristic approach, in which the over-underexposure is formulated as an inverse of Weber-Fechner law, and fusion strategy and probabilistic compression are adopted, to generate the degraded real-world images.
1 code implementation • CVPR 2021 • Fu-Zhao Ou, Xingyu Chen, Ruixin Zhang, Yuge Huang, Shaoxin Li, Jilin Li, Yong Li, Liujuan Cao, Yuan-Gen Wang
Thus, we propose a novel unsupervised FIQA method that incorporates Similarity Distribution Distance for Face Image Quality Assessment (SDD-FIQA).