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个人简介

谭鑫,博士,华东师范大学计算机科学与技术学院专任副研究员。入选上海市扬帆计划、晨光计划(A类)。他于2022年分别取得上海交通大学(导师:马利庄教授)和香港城市大学(导师:Rynson Lau教授)的博士学位,于2017年取得重庆大学的工学学士和管理学学士学位。他现在的主要研究兴趣是预训练大模型的领域微调、增量学习相关问题。他主持了国家自然科学基金青年项目和重点项目课题、重庆市自然基金面上项目、CCF-腾讯犀牛鸟基金等,也主持腾讯科技等知名企业的产学研合作项目。他在TPAMI、TIP、CVPR、ICCV等国际知名期刊和会议发表论文30余篇,含ESI高被引1篇,作为完成人曾获上海市科技进步特等奖、中国地理信息产业协会科技进步二等奖、上海交通大学十大科技进展、世界人工智能大会TOP30榜单项目和上海市优秀毕业生等荣誉。他担任CCF计算机辅助设计与图形学专委会执行委员、中国图象图形学会数字娱乐与智能生成专委会委员、三维视觉专委会委员、CCF第26届全国计算机辅助设计与图形学学术会议(CAD/CG 2023)组织主席。他还担任多个知名期刊(Pattern Recognition, The Visual Computer等)的编委(associate editor)和国际多个顶级期刊和会议的审稿人等。 教育经历 2017.09-2022.06:上海交通大学计算机科学与工程系 工学博士 2019.09-2022.07:香港城市大学计算机科学系 哲学博士 2013.09-2017.06:重庆大学自动化学院 工学学士 工作经历 2022.07至今:华东师范大学计算机科学与技术学院 专任副研究员 社会兼职 学会: 中国计算机学会 计算机辅助设计与图形学专业委员会 执行委员 中国图象图形学学会 数字娱乐与智能生成专业委员会 委员 中国图象图形学学会 三维视觉专业委员会 委员 学术会议: 中国计算机学会第26届全国计算机辅助设计与图形学学术会议(CAD/CG 2023)组织主席 中国工业与应用数学学会第15届全国几何设计与计算学术会议(GDC 2023)组织主席 期刊编委: Pattern Recognition CCF-B类期刊,中科院一区,TOP期刊,JCR Q1,影响因子8.0 The Visual Computer CCF-C类期刊,影响因子3.4 Alexandria Engineering Journal 中科院二区,TOP期刊,JCR R1,影响因子6.8 CMC-Computers, Materials & Continua 中科院四区,影响因子3.4 审稿人/程序委员会: AAAI Conference on Artificial Intelligence (AAAI) 程序委员会委员 International Joint Conference on Artificial Intelligence (IJCAI)程序委员会委员 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 审稿人 International Conference on Computer Vision (ICCV) 审稿人 European Conference on Computer Vision (ECCV) 审稿人 IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 审稿人 International Journal of Computer Vision (IJCV) 审稿人 IEEE Transactions on Image Processing (TIP) 审稿人 荣誉及奖励 谭鑫(13/17):面向复杂场景的人物视觉理解技术及应用, 上海市人民政府, 2020年上海市科技进步特等奖,2020 谭鑫(10/13):基于人工智能的轨道交通结构快速巡检及预警关键技术研究,中国地理信息产业协会,2022年科技进步二等奖,2022 谭鑫(7/9):人物视觉表情理解与姿态分析技术,上海交通大学,首届十大科技进展,2020 2022年上海市优秀毕业生

研究领域

计算机视觉与模式识别

近期论文

查看导师新发文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion Qibing Ren, Chang Gao, Jing Shao, Junchi Yan, Xin Tan, Wai Lam, Lizhuang Ma ACL (Findings), 2024 (CCF-A) PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly Detection Xiaofan Li, Zhizhong Zhang, Xin Tan#, Yanyun Qu, Chengwei Chen, Yuan Xie, Lizhuang Ma (# corresponding author) Proc. IEEE CVPR, 2024 (CCF-A) COTR: Compact Occupancy TRansformer for Vision-based 3D Occupancy Prediction Qihang Ma*, Xin Tan*, Yanyun Qu, Lizhuang Ma, Zhizhong Zhang, Yuan Xie (* joint first authors) Proc. IEEE CVPR, 2024 (CCF-A) Multi-modal In-Context Learning Makes an Ego-evolving Scene Text Recognizer Zhen Zhao, Jingqun Tang, Chunhui Lin, Binghong Wu, Hao Liu, Zhizhong Zhang, Xin Tan, Can Huang, Yuan Xie Proc. IEEE CVPR, 2024 (CCF-A) Building a Strong Pre-Training Baseline for Universal 3D Large-Scale Perception Haoming Chen, Zhizhong Zhang, Yanyun Qu, Ruixin Zhang, Xin Tan, Yuan Xie Proc. IEEE CVPR, 2024 (CCF-A) CSFwinformer: Cross-Space-Frequency Window Transformer for Mirror Detection Zhifeng Xie, Sen Wang, Qiucheng Yu, Xin Tan#, Yuan Xie (# corresponding author) IEEE Trans. on Image Processing (TIP), 2024 (CCF-A) Image Understands Point Cloud: Weakly Supervised 3D Semantic Segmentation via Association Learning Tianfang Sun, Zhizhong Zhang, Xin Tan, Yanyun Qu, Yuan Xie IEEE Trans. on Image Processing (TIP), 2024 (CCF-A) Prompt Gradient Projection for Continual Learning Jingyang Qiao, Zhizhong Zhang Xin Tan, Chengwei Chen, Yanyun Qu, Yong Peng, Yuan Xie ICLR, 2024 (spotlight) (5% acceptance rate) Glass Makes Blurs: Learning the Visual Blurriness for Glass Surface Detection Fulin Qi, Xin Tan#, Zhizhong Zhang, Mingang Chen, Yuan Xie, Lizhuang Ma (# corresponding author) IEEE Transactions on Industrial Informatics, 2024 Beyond the Label Itself: Latent Labels Enhance Semi-supervised Point Cloud Panoptic Segmentation Yujun Chen*, Xin Tan*, Zhizhong Zhang, Yanyun Qu, Yuan Xie (* joint first authors) Proc. AAAI, 2024 (CCF-A) Learning Task-Aware Language-Image Representation for Class-Incremental Object Detection Hongquan Zhang, Bin-Bin Gao, Yi Zeng, Xudong Tian Xin Tan#, Zhizhong Zhang, Yanyun Qu, Jun Liu, Yuan Xie (# corresponding author) Proc. AAAI, 2024 (CCF-A) Domain-Hallucinated Updating for Multi-Domain Face Anti-spoofing Chengyang Hu, Ke-Yue Zhang, Taiping Yao, Shice Liu, Shouhong Ding, Xin Tan, Lizhuang Ma Proc. AAAI, 2024 (CCF-A) Continuous Piecewise-Affine Based Motion Model for Image Animation Hexiang Wang, Fengqi Liu, Qianyu Zhou, Ran Yi, Xin Tan, Lizhuang Ma Proc. AAAI, 2024 (CCF-A) Leveraging Panoptic Prior for 3D Zero shot Semantic Understanding within Language Embedded Radiance Fields Yuzhou Ji, Xin Tan#, He Zhu, Wuyi Liu, Jiachen Xu, Yuan Xie, Lizhuang Ma (# corresponding author) Conference on Computational Visual Media (CVM), 2024 (YZ. J. is the third-year undergraduate student.) Xiangqian Li, Xin Tan#, Zhizhong Zhang, Yuan Xie, and Lizhuang Ma (# corresponding author) Computational Visual Media, 2023 [PDF (Coming soon) ] Xin Tan, Fulin Qi, Nan Wang, Zhizhong Zhang, Yuan Xie, and Lizhuang Ma Journal of Computer-Aided Design & Computer Graphics, 2023 (CCF-A) [PDF ] Xin Tan*, Qihang Ma*, Jingyu Gong, Jiachen Xu, Zhizhong Zhang, Haichuan Song, Yanyun Qu, Yuan Xie, and Lizhuang Ma IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2023 (CCF-A) (The extented version of CVPR 2021) Unveiling the Power of CLIP in Unsupervised Visible-Infrared Person Re-Identification Zhong Chen, Zhizhong Zhang, Xin Tan, Yanyun Qu, Yuan Xie ACM MM, 2023(CCF-A) Instance and Category Supervision are Alternate Learners for Continual Learning Xudong Tian, Zhizhong Zhang, Xin Tan, Jun Liu, Chengjie Wang, Yanyun Qu, Guannan Jiang, Yuan Xie Proc. IEEE ICCV, 2023 (CCF-A) Boosting Night-time Scene Parsing with Learnable Frequency Zhifeng Xie, Sen Wang, Ke Xu, Zhizhong Zhang, Xin Tan#, Yuan Xie, Lizhuang Ma (# corresponding author) IEEE Trans. on Image Processing (TIP), 2023 (CCF-A) Boosting Semi-Supervised Learning by Exploiting All Unlabeled Data Yuhao Chen, Xin Tan#, Borui Zhao, Zhaowei Chen, Renjie Song, Jiajun Liang, Xuequan Lu (# corresponding author) Proc. IEEE CVPR, 2023 (CCF-A) Learning to Detect Mirrors from Videos via Dual Correspondences Jiaying Lin*, Xin Tan*, Rynson Lau (* joint first authors) Proc. IEEE CVPR, 2023 (CCF-A) Rethinking Gradient Projection Continual Learning: Stability / Plasticity Feature Space Decoupling Zhen Zhao, Zhizhong Zhang, Xin Tan, Jun Liu, Yanyun Qu, Yuan Xie, Lizhuang Ma Proc. IEEE CVPR, 2023 (CCF-A) Multi-Centroid Task Descriptor for Dynamic Class Incremental Inference Tenghao Cai, Zhizhong Zhang, Xin Tan, Yanyun Qu, Guannan Jiang, Chengjie Wang, Yuan Xie Proc. IEEE CVPR, 2023 (CCF-A) Scene Point Cloud Understanding and Reconstruction Technologies in 3D Space (in Chinese) Jingyu Gong, Yujin Lou, Fengqi Liu, Zhiwei Zhang, Haoming Chen, Zhizhong Zhang, Xin Tan, Yuan Xie, Lizhuang Ma Journal of Image and Graphics, 2023 Mirror Detection with the Visual Chirality Cue Xin Tan, Jiaying Lin, Ke Xu, Pan Chen, Lizhuang Ma, and Rynson Lau IEEE Trans. on Pattern Analysis and Machine Intelligence (ESI highly cited)(TPAMI), 2023 (CCF-A) Optimization over Disentangled Encoding: Unsupervised Cross-Domain Point Cloud Completion via Occlusion Factor Manipulation Jingyu Gong, Fengqi Liu, Jiachen Xu, Min Wang, Xin Tan, Zhizhong Zhang, Ran Yi, Haichuan Song, Yuan Xie, Lizhuang Ma Proc. ECCV, 2022 Survey of Expression Action Unit Recognition Based on Deep Learning (in Chinese) Zhiwen Shao, Yong Zhou, Xin Tan, Lizhuang Ma, Bin Liu, Rui Yao ACTA ELECTRONICA SINICA, 2022(CCF-A) Frequency-aware Camouflaged object Detection Jiaying Lin*, Xin Tan*, Ke Xu, Lizhuang Ma, and Rynson Lau (* joint first authors) ACM Trans. on Multimedia Computing, Communications, and Applications, 2022 Rethinking Efficient Lane Detection via Curve Modeling Zhengyang Feng, Shaohua Guo, Xin Tan#, Ke Xu, Min Wang, Lizhuang Ma (# corresponding author) Proc. IEEE CVPR, 2022(CCF-A) DMT: Dynamic Mutual Training for Semi-Supervised Learning Zhengyang Feng, Qianyu Zhou, Qiqi Gu, Xin Tan#, Guangliang Cheng, Xuequan Lu, Jianping Shi, Lizhuang Ma (# corresponding author) Pattern Recognition, 2022 HSNet: Hierarchical Semantics Network for Scene Parsing Xin Tan, Jiachen Xu, Ying Cao, Ke Xu, Lizhuang Ma, Rynson Lau The Visual Computer, 2022 Night-time Scene Parsing with a Large Real Dataset Xin Tan, Ke Xu, Ying Cao, Yiheng Zhang, Lizhuang Ma, Rynson Lau IEEE Trans. on Image Processing (TIP), 2021(CCF-A) Semantic-aware Dehazing Network with Adaptive Feature Fusion Shengdong Zhang, Wenqi Ren, Xin Tan, Zhi-Jie Wang, Yong Liu, Jingang Zhang, Xiaoqin Zhang, Xiaochun Cao IEEE Trans. on Cybernetics (TCyB), 2021 Confident Semantic Ranking Loss for Part Parsing Xin Tan, Jiachen Xu, Zhou Ye, Jinkun Hao, Lizhuang Ma Proc. IEEE ICME, 2021 Omni-supervised Point Cloud Segmentation via Gradual Receptive Field Component Reasoning Jingyu Gong, Jiachen Xu, Xin Tan, Haichuan Song, Yanyun Qu, Yuan Xie, Lizhuang Ma Proc. IEEE CVPR, 2021(CCF-A) Boundary-Aware Geometric Encoding for Semantic Segmentation of Point Clouds Jingyu Gong, Jiachen Xu, Xin Tan, Jie Zhou, Yanyun Qu, Yuan Xie, Lizhuang Ma Proc. AAAI, 2021(CCF-A) Weakly-Supervised Saliency Detection via Salient Object Subitizing Xiaoyang Zheng*, Xin Tan*, Jie Zhou, Lizhuang Ma, Rynson WH Lau (* joint first authors) IEEE Trans. on Circuits and Systems for Video Technology (TCSVT), 2021 SceneEncoder: Scene-Aware Semantic Segmentation of Point Clouds with A Learnable Scene Descriptor Jiachen Xu, Jingyu Gong, Jie Zhou, Xin Tan, Yuan Xie, Lizhuang Ma Proc. IJCAI, 2020(CCF-A) Re-ID Driven Localization Refinement for Person Search Chuchu Han, Jiacheng Ye, Yunshan Zhong, Xin Tan, Chi Zhang, Changxin Gao, Nong Sang Proc. IEEE ICCV, 2019(CCF-A) Saliency Detection by Deep Network with Boundary Refinement and Global Context Xin Tan, Hengliang Zhu, Zhiwen Shao, Xiaonan Hou, Yangyang Hao, Lizhuang Ma Proc. IEEE ICME, 2019 A Shape-Aware Feature Extraction Module for Semantic Segmentation of 3D Point Clouds Jiachen Xu, Jie Zhou, Xin Tan#, Lizhuang Ma (# corresponding author) Proc. ICONIP, 2020 Single Image Deraining via Detail-guided Efficient Channel Attention Network Xiao Lin, Qi Huang, Wei Huang, Xin Tan#, Meie Fang, Lizhuang Ma (# corresponding author) Computers & Graphics, 2021 Deep Multi-Center Learning for Face Alignment Zhiwen Shao, Hengliang Zhu, Xin Tan, Yangyang Hao, Lizhuang Ma Neurocomputing, 2019. MCCH: A novel convex hull prior based solution for saliency detection Xiao Lin, Zhi-Jie Wang, Xin Tan, Mei-E Fang, Neal N Xiong, Lizhuang Ma Information Sciences, Volume 485, June 2019, Pages 521-539 Accurate and Efficient Object Detection with Context Enhancement Block Yuhao Chen, Min Zhao, Xin Tan, Hong Tang, Dihua Sun IEEE ICME 2019. Facial Landmark Detection Under Large Pose Yangyang Hao, Hengliang Zhu, Zhiwen Shao, Xin Tan, Lizhuang Ma IEEE ICONIP, 2018. Multi-Path Feature Fusion Network for Saliency Detection Hengliang Zhu, Xin Tan, Zhiwen Shao, Yangyang Hao, Lizhuang Ma IEEE ICME, 2018. Molecular and phenotypic spectrum of Noonan syndrome in Chinese patients Xin Li*, Ruen Yao*, Xin Tan*, Niu Li, Yu Ding, Juan Li, Guoying Chang, Yao Chen, Lizhuang Ma, Jian Wang, Lijun Fu, Xiumin Wang (* joint first authors) Clinical Genetics, Volume 96, Issue 4, October 2019, Pages 290-299. Learning the Spiral Sharing Network with Minimum Salient Region Regression for Saliency Detection Zukai Chen, Xin Tan, Hengliang Zhu, Shouhong Ding, Lizhuang Ma, Haichuan Song IEEE ICASSP, 2019. Object-Level Salience Detection by Progressively Enhanced Network Wang Yuan, Haichuan Song, Xin Tan,, Chengwei Chen, Shouhong Ding, Lizhuang Ma ICANN, 2019.

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