个人资料
个人简介王洋，博士，副教授，博士生导师，长安大学青英计划A类人才，主要从事计算机视觉领域的研究，在国际顶级学术会议CVPR、ECCV、AAAI、ACM MM、ICIP和国际知名期期刊TIP、TNNLS、ITS、TMM、TIV、TAI、TOMM等发表30余篇学术论文，担任CVPR、ECCV、ICCV、IJCAI、TNNLS、TIP、TMM等期刊会议的审稿人，与华为，北京智能网联研究院等机构保持深度合作。 谷歌学术主页：https://scholar.google.com/citations?user=7TFKCpQAAAAJ&hl=en 目前，招收2025级保送硕士研究生，欢迎有保送意愿的优秀学生提前联系并了解团队研究方向。 微信号：DWSuccess0612 -------------------------------------------------------------------------------------------------------------- Recent News ! ! ! 2024.12 Two conference papers accepted by the 39th AAAI Conference on Artificial Intelligence (AAAI-25) (CCF-A)! 2024.12 One regular paper accepted by the IEEE Transactions on Intelligent Vehicles（Q1, Impact Factor 12.8）! 2024.09 2024首届车路云一体化无人驾驶挑战赛，全国一等奖！ 2024.09 One regular paper accepted by the IEEE Transactions on Intelligent Transportation Systems(ITS)（Q1, Impact Factor 9.55）! 2024.08 One regular paper accepted by the IEEE Transactions on Neural Networks and Learning Systems（Q1, Impact Factor 9.7）! 2024.07 One regular paper accepted by the IEEE Transactions on Image Processing（Q1, Impact Factor9.2）! 2024.06 One conference paper accepted by the IEEE International Conference on Image Processing（CCF-C）! 2024.05 One regular paper accepted by the IEEE Transactions on Intelligent Vehicles（Q1, Impact Factor 12.8）! 2024.04 One conference paper accepted by the 35th IEEE Intelligent Vehicles Symposium (IV 2024) ! 2024.04 The Ninth NTIRE 2024 Efficient Super-Resolution Challenge（图像超分领域世界顶级竞赛）, 全球亚军！ 2024.02 One regular paper accepted by the Expert Systems with Application (Q1, Impact Factor 7.3）! 2024.01 中国智能网联汽车算法挑战赛，目标检测赛道，全国一等奖！ 2024.01 中国智能网联汽车算法挑战赛，轨迹补全赛道，全国应用奖！ 2024.01 One regular paper accepted by IEEE Transactions on Multimedia (Q1, Impact Factor 7.6）! 社会职务1. 世界交通运输大会青年委员； 2. 担任著名会议（CVPR、ECCV、ICCV、IJCAI等）和期刊（TIP、TNNLS、TMM）的审稿人； ------------------------------------------------------------------------------------------------------------- 组内可提供资源包括但不限于： 1.一线学术科研指导； 2. 充裕的深度学习算力资源; 3. 大厂实习与内推机会; 4. 全额资助参加国际和国内学术会议; 欢迎具有较强编程、数学和动手能力的同学报考！ 研究领域主要从事计算机视觉方面的前瞻性研究： 一、面向真实场景的低质视觉增强与分析
二、基于神经拟态相机（事件相机）的动态视觉感知
开授课程
科研项目科研项目 1. 基于特征恒常性的降质图像识别方法研究（30W），基金委纵向课题（62206262），项目负责人； 2. 长安大学“青英计划—A类”科研启动经费（50W），校级课题，项目负责人； 3. 基于特征反演的降质图像识别方法研究（9W），校级课题，项目负责人； 4. 基于解耦和聚合卷积的真实图像超分方法研究（91.3W），华为公司横向课题，项目核心骨干（2/6）； 论文2024年度论文汇总（持续更新） 2024年审稿中： [7]. Dynamic Sparse Attention Graph Learning for Pedestrian Trajectory Prediction. Zhanwen Liu, Feiyan Wang, Nan Yang, Chao Li, Yang Wang, Xiangmo Zhao. [6]. S³Mamba: Arbitrary-Scale Super-Resolution via Scaleable State Space Model. Peizhe Xia, Long Peng, Xin Di, Renjing Pei, Yang Wang,Yang Cao, Zheng-Jun Zha. [5]. QMambaBSR:Burst Image Super-Resolution with Query State Space Mode. Xin Di, Long Peng, Peizhe Xia, Wenbo Li, Renjing Pei, Yang Cao, Yang Wang, Zheng-Jun Zha. [4]. Unveiling Hidden Details: A RAW Data-Enhanced Paradigm for Real-WorldSuper-Resolution. Long Peng, Wenbo Li, Jiaming Guo, Xin Di, Haoze Sun,Yong Li, Renjing Pei, Yang Wang, Yang Cao, Zheng-Jun Zha. [3]. Efficient Real-world Image Super-Resolution Via Adaptive Directional Gradient Convolution, Transactions on Image Processing(TIP) 2024. Long Peng , Yang Cao , Renjing Pei , Wenbo Li , Jiaming Guo , Xueyang Fu, Yang Wang, Zheng-Jun Zha. [2]. Action Recognition in the Extremely Dark Using Event Camera. HanHan,GanchaoTan,YangWang,WeiZhai,YangCao, BinLi, Zheng-JunZha. [1]. Towards Realistic Data Generation for Real-World Super-Resolution. Long Peng, Wenbo Li, Renjing Pei, Jingjing Ren, Yang Wang, Yang Cao, Zheng-Jun Zha. https://arxiv.org/abs/2406.07255, 2024; 2024年已录用： [11]. SMamba: Sparse Mamba for Event-based Object Detection. Nan Yang, Yang Wang, Zhanwen Liu, Meng Li, Yisheng An, Xiangmo Zhao. Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI-25), CCF-A类. To appear! [10]. Boosting Image De-raining Via Central-Surrounding Synergistic Convolution. Long Peng, Yang Wang, Xin Di, PeizheXia, Xueyang Fu, Yang Cao, Zheng-Jun Zha. Thirty-Ninth AAAI Conference on Artificial Intelligence (AAAI-25), CCF-A类. To appear! [9]. Zhanwen Liu, Nan Yang, Yang Wang*（通讯作者）, Yuke Li, Xiangmo Zhao, Fei-Yue Wang. Enhancing Traffic Object Detection in Variable Illumination with RGB-Event Fusion. IEEE Transactions on Intelligent Transportation Systems(ITS), 2024; [8]. Zhibo Du, Long Peng, Yang Wang*（通讯作者）, Yang Cao, Zheng-Jun Zha. FC3DNET: A Fully Connected Encoder-Decoder For Efficient Demoireing. IEEE International Conference on Image Processing(CCF-C). 2024. https://arxiv.org/abs/2406.14912. [7]. Long Peng, Yang Cao, Yuejin Sun, Yang Wang*（通讯作者）. Lightweight Adaptive Feature De-drifting for Compressed Image Classification. IEEE Transactions on Multimedia (TMM), 2024.(SCI，中科院一区); [6]. Zhanwen Liu , Yuhang Li, Yang Wang*（通讯作者）, Bolin Gao , Yisheng An, Xiangmo Zhao. Boosting Visual Recognition in Real-World Degradations via Unsupervised Feature Enhancement Module With Deep Channel Prior. IEEE Transactions on Intelligent Vehicles (TIV), 2024.(SCI，中科院一区); [5]. Zhanwen Liu , Chao Li , Nan Yang , Yang Wang*（通讯作者）, Jiaqi Ma , Guangliang Cheng and Xiangmo Zhao. MSTF: Multiscale Transformer for Incomplete Trajectory Prediction. 35th IEEE Intelligent Vehicles Symposium (IV 2024)； [4]. Multi-scale Temporal Fusion Transformer for Incomplete Vehicle Trajectory Prediction. Zhanwen Liu , Chao Li , Yang Wang，Nan Yang，Xing Fan , Jiaqi Ma , Xiangmo Zhao. IEEE Transactions on Intelligent Vehicles (TIV), 2024.(SCI，中科院一区); [3]. Chao Li, Zhanwen Liu, Shan Lin, Yang Wang, Xiangmo Zhao. Intention-convolution and hybrid-attention network for vehicle trajectory prediction. Expert Systems with Applications, 2024.(SCI，中科院一区); [2]. Ganchao Tan, Zengyu Wan, Yang Wang, Yang Cao, and Zheng-Jun Zha.Tackling Event-based Lip-Reading by Exploring Multi-grained Spatio-Temporal Clues. IEEE Transactions on Neural Networks and Learning Systems(TNNLS), 2024. [1]. Zengyu Wan, Yang Wang, Zhai Wei, Ganchao Tan, Yang Cao, Zheng-Jun Zha. Event-based Optical Flow via Transforming into Motion-dependent View. IEEE Transactions on Image Processing(TIP). ------------------------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------------------------ 2017~2023 (部分) [10]. Long Peng, Yang Wang*（通讯作者）, Yuejin Sun, Yang. Cao, Zheng-jun Zha, Jing Zhang, Feng Wu. Adaptive Feature De-drifting for Compressed Image Classification. IEEE Transactions on Multimedia(TMM), 2024.(SCI，中科院一区); [9]. Zhanwen Liu, Juanru Cheng, Jin Fan, Shan Lin, Yang Wang*（通讯作者）, Xiangmo Zhao. Multi-Modal Fusion Based on Depth Adaptive Mechanism for 3D Object Detection. IEEE Transactions on Multimedia (TMM), 2023.(SCI，中科院一区); [8]. Saizhe Ding, Jinze Chen, Yang Wang（通讯作者）, Yu Kang, Weiguo Song, Jie Cheng, Yang Cao. E-MLB: Multilevel Benchmark for Event-Based Camera Denoising. IEEE Transactions on Multimedia (TMM), 2023.（SCI, 中科院一区); [7]. Yang Wang, Yang Cao, Jing Zhang, Zhengjun Zha. Progressive Retinex: Mutually Reinforced Illumination-Noise Perception Network for Low Light Image Enhancement. ACM Conference on Multimedia (ACM MM), 2019. (EI，CCF-A类); [6]. Yang Wang, Long Peng, Li, Li, Yang Cao, Zheng-Jun Zha. Decoupling-and-Aggregating for Image Exposure Correction. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition(CVPR ), 2023.（EI, CCF-A类); [5]. Yang Wang, Yang Cao, Zheng-Jun Zha, Jing Zhang, Zhiwei Xiong. Deep Degradation Prior for Low-Quality Image Classification. EEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. (EI，CCF-A类, Oral（口头报告），5% acceptance rate); [4]. Zengyu Wan, Yang Wang（共一）, Ganchao Tan, Yang Cao, and Zheng-Jun Zha. S2N: Suppression-Strengthen Network for Event-Based Recognition Under Variant Illuminations. The European Conference on Computer Vision (ECCV), 2022. (EI, CCF-B类)； [3]. Jinze Chen, Yang Wang（共一）,Yang Cao, Feng Wu Zheng-Jun Zha ProgressiveMotionSeg: Mutually Reinforced Framework for Event-Based Motion Segmentation. Accepted by The Association for the Advancement of Artificial Intelligence (AAAI), 2022. (EI，CCF-A 类)； [2]. Weiqi Zou, Yang Wang（共一）, Xueyang Fu Yang Cao. Dreaming to Prune Image Deraining Networks. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.(EI, CCF-A 类); [1]. Ganchao Tan, Yang Wang（ 共一）, Han Han, Yang Cao, Feng Wu, Zheng-Jun Zha. Multi-grained Spatio-Temporal Features Perceived Network for Event-based Lip-Reading. Accepted by IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022. (EI, CCF-A 类); 科技成果竞赛奖励： 2024.01 中国智能网联汽车算法挑战赛，目标检测赛道，全国一等奖！ 2024.01 中国智能网联汽车算法挑战赛，轨迹补全赛道，全国应用奖！ 2024.04 The Ninth NTIRE 2024 Efficient Super-Resolution Challenge（图像超分领域世界顶级竞赛）, 全球亚军！ 部分发明专利： 1. 基于稀疏Mamba的事件相机目标检测方法； 2. 基于RGB和事件相机融合的变光照交通目标检测方法； 3. 一种基于时空特征的动态图卷积交通流预测方法； 4. 一种异构交通流下智能网联车辆跟驰模型仿真与测试方法； 5. 雾天目标检测模型训练方法及雾天目标检测方法； 6. 基于无监督图节点聚类的目标分类方法； 7. 基于目标局部终点与多头注意力机制的轨迹预测方法； 8. 一种复杂城市道路环境下的多目标检测与跟踪算法； 9. 一种基于数字孪生云控平台的自动驾驶测试系统和方法； 荣誉奖励2024.01 中国智能网联汽车算法挑战赛，目标检测赛道，全国一等奖！ 2024.01 中国智能网联汽车算法挑战赛，轨迹补全赛道，全国应用奖！ 2024.04 The Ninth NTIRE 2024 Efficient Super-Resolution Challenge（图像超分领域世界顶级竞赛）, 全球亚军！ 工作经历2023.12-至今 长安大学 副教授 博士生导师； 2021.07-2023.07 中国科学技术大学 博士后； |
