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Efficient physical image attacks using adversarial fast autoaugmentation methods Journal article
Du, Xia, Pun, Chi Man, Zhou, Jizhe. Efficient physical image attacks using adversarial fast autoaugmentation methods[J]. Knowledge-Based Systems, 2024, 304, 112576.
Authors:  Du, Xia;  Pun, Chi Man;  Zhou, Jizhe
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:7.2/7.4 | Submit date：2024/11/05
Adversarial Robust Attacks  Autoaugmentation  Computer Vision  Ensemble Method  
StyleAdapter: A Unified Stylized Image Generation Model Journal article
Wang, Zhouxia, Wang, Xintao, Xie, Liangbin, Qi, Zhongang, Shan, Ying, Wang, Wenping, Luo, Ping. StyleAdapter: A Unified Stylized Image Generation Model[J]. International Journal of Computer Vision, 2024.
Authors:  Wang, Zhouxia;  Wang, Xintao;  Xie, Liangbin;  Qi, Zhongang;  Shan, Ying; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:11.6/14.5 | Submit date：2024/11/05
Stylized Image Generation  Artificial Intelligence Generated Content (Aigc)  Diffusion Model  Computer Vision  
NTIRE 2024 Restore Any Image Model (RAIM) in the Wild Challenge Conference paper
Liang, Jie, Yi, Qiaosi, Liu, Shuaizheng, Sun, Lingchen, Zhang, Xindong, Zeng, Hui, Zhang, Lei, Timofte, Radu, Huang, Yibin, Liu, Shuai, Li, Yongqiang, Feng, Chaoyu, Wang, Xiaotao, Lei, Lei, Chen, Yuxiang, Chen, Xiangyu, Chen, Qiubo, Chen, Jiaxu, Sun, Fengyu, Cui, Mengying, Hu, Zhenyu, Liu, Jingyun, Ma, Wenzhuo, Wang, Ce, Zheng, Hanyou, Sun, Wanjie, Chen, Zhenzhong, Luo, Ziwei, Gustafsson, Fredrik K., Zhao, Zheng, Sjölund, Jens, Schön, Thomas B., Dun, Xiong, Ji, Pengzhou, Xing, Yujie, Wang, Xuquan, Wang, Zhanshan, Cheng, Xinbin, Xiao, Jun, He, Chenhang, Wang, Xiuyuan, Liu, Zhi Song, Miao, Zimeng, Yin, Zhicun, Liu, Ming, Zuo, Wangmeng, Wu, Rongyuan, Li, Shuai. NTIRE 2024 Restore Any Image Model (RAIM) in the Wild Challenge[C]:IEEE Computer Society, 2024, 6632-6640.
Authors:  Liang, Jie;  Yi, Qiaosi;  Liu, Shuaizheng;  Sun, Lingchen;  Zhang, Xindong; et al.
Favorite | TC[Scopus]:16 | Submit date：2024/11/05
Degradation  Computer Vision  Reviews  Conferences  Computational Modeling  Benchmark Testing  Image Restoration  
DeIL: Direct-and-Inverse CLIP for Open-World Few-Shot Learning Conference paper
Shao, Shuai, Bai, Yu, Wang, Yan, Liu, Baodi, Zhou, Yicong. DeIL: Direct-and-Inverse CLIP for Open-World Few-Shot Learning[C]:IEEE Computer Society, 2024, 28505-28514.
Authors:  Shao, Shuai;  Bai, Yu;  Wang, Yan;  Liu, Baodi;  Zhou, Yicong
Favorite | TC[Scopus]:1 | Submit date：2024/11/05
Computer Vision  Filtering  Noise Reduction  Transforms  Pattern Recognition  Few Shot Learning  Clip  Open-world Few-shot Learning  
Bracketing Image Restoration and Enhancement with High-Low Frequency Decomposition Conference paper
Chen, Genggeng, Dai, Kexin, Yang, Kangzhen, Hu, Tao, Chen, Xiangyu, Yang, Yongqing, Dong, Wei, Wu, Peng, Zhang, Yanning, Yan, Qingsen. Bracketing Image Restoration and Enhancement with High-Low Frequency Decomposition[C]:IEEE Computer Society, 2024, 6097-6107.
Authors:  Chen, Genggeng;  Dai, Kexin;  Yang, Kangzhen;  Hu, Tao;  Chen, Xiangyu; et al.
Favorite | TC[Scopus]:1 | Submit date：2024/11/05
Degradation  Computer Vision  Conferences  Feature Extraction  Image Restoration  Pattern Recognition  Image Enhancement  
SmartEdit: Exploring Complex Instruction-Based Image Editing with Multimodal Large Language Models Conference paper
Huang, Yuzhou, Xie, Liangbin, Wang, Xintao, Yuan, Ziyang, Cun, Xiaodong, Ge, Yixiao, Zhou, Jiantao, Dong, Chao, Huang, Rui, Zhang, Ruimao, Shan, Ying. SmartEdit: Exploring Complex Instruction-Based Image Editing with Multimodal Large Language Models[C]:IEEE Computer Society, 2024, 8362-8371.
Authors:  Huang, Yuzhou;  Xie, Liangbin;  Wang, Xintao;  Yuan, Ziyang;  Cun, Xiaodong; et al.
Favorite | TC[Scopus]:1 | Submit date：2024/11/05
Training  Visualization  Computer Vision  Large Language Models  Diffusion Models  Cognition  Pattern Recognition  Instruction-based Image Editing  Multimodal Large Language Models  
Boosting Image Restoration via Priors from Pre-Trained Models Conference paper
Xu, Xiaogang, Kong, Shu, Hu, Tao, Liu, Zhe, Bao, Hujun. Boosting Image Restoration via Priors from Pre-Trained Models[C]:IEEE Computer Society, 2024, 2900-2909.
Authors:  Xu, Xiaogang;  Kong, Shu;  Hu, Tao;  Liu, Zhe;  Bao, Hujun
Favorite | TC[Scopus]:2 | Submit date：2024/11/05
Computer Vision  Shape  Computational Modeling  Noise Reduction  Training Data  Boosting  Data Models  Pre-trained Models  Image Restoration  Spatial-varying Enhancement  Channel-spatial Attention  
ParameterNet: Parameters are All You Need for Large-Scale Visual Pretraining of Mobile Networks Conference paper
Han, Kai, Wang, Yunhe, Guo, Jianyuan, Wu, Enhua. ParameterNet: Parameters are All You Need for Large-Scale Visual Pretraining of Mobile Networks[C]:IEEE Computer Society, 2024, 15751-15761.
Authors:  Han, Kai;  Wang, Yunhe;  Guo, Jianyuan;  Wu, Enhua
Favorite | TC[Scopus]:6 | Submit date：2024/11/05
Convolutional Codes  Visualization  Computer Vision  Accuracy  Transformers  Pattern Recognition  
IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object Detection Conference paper
Yin, Junbo, Shen, Jianbing, Chen, Runnan, Li, Wei, Yang, Ruigang, Frossard, Pascal, Wang, Wenguan. IS-Fusion: Instance-Scene Collaborative Fusion for Multimodal 3D Object Detection[C]:IEEE Computer Society, 2024, 14905-14915.
Authors:  Yin, Junbo;  Shen, Jianbing;  Chen, Runnan;  Li, Wei;  Yang, Ruigang; et al.
Favorite | TC[Scopus]:3 | Submit date：2024/11/05
Point Cloud Compression  Computer Vision  Three-dimensional Displays  Collaboration  Object Detection  Benchmark Testing  Transformers  Multimodal  Object Detection  Point Cloud  Autonomous Driving  
Vision-aided Multi-user Beam Tracking for mmWave Massive MIMO System: Prototyping and Experimental Results Conference paper
Li, Kehui, Zhou, Binggui, Guo, Jiajia, Yang, Xi, Xue, Qing, Gao, Feifei, Ma, Shaodan. Vision-aided Multi-user Beam Tracking for mmWave Massive MIMO System: Prototyping and Experimental Results[C]:Institute of Electrical and Electronics Engineers Inc., 2024.
Authors:  Li, Kehui;  Zhou, Binggui;  Guo, Jiajia;  Yang, Xi;  Xue, Qing; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/11/05
Beam Tracking  Computer Vision  Deep Learning  Massive Mimo  Prototype System  Training  Visualization  Vehicular And Wireless Technologies  Accuracy  Prototypes  Massive Mimo