华东师范大学计算机科学与技术学院 副研究员 |
Dr. Xin Tan is an Associate Research Professor with School of Computer Science and Technology, East China Normal University, China. He is a member of Digital Media and Computer Vision Laboratory, the SJTU-ECNU joint lab led by Prof. Lizhuang Ma. He received his dual Ph.D. degree from Shanghai Jiao Tong University, China and City University of Hong Kong, China in 2022. His Ph.D. advisor is Prof. Lizhuang Ma (SJTU), and Prof. Rynson Lau (CityU). He received his B.Eng degree and B.BM degree from Chongqing University, China, in 2017. He also closely works with Prof. Yuan Xie. His research interests include computer vision and pattern recognition.
I appreciate the organizations listed below for the sponsorship to my research.
DrivingForward: Feed-forward 3D Gaussian Splatting for Driving Scene Reconstruction from Flexible Surround-view Input
Qijian Tian, Xin Tan#, Yuan Xie, Lizhuang Ma
Preprint, 2024
[ PDF ]
[Project Page]
FastLGS: Speeding up Language Embedded Gaussians with Feature Grid Mapping
Yuzhou Ji, He Zhu, Junshu Tang, Wuyi Liu, Zhizhong Zhang, Yuan Xie, Xin Tan#
(YZ. J. and H. Z. are the third-year undergraduate students.)
Preprint, 2024
[ PDF ]
[Project Page]
Efficient Multimodal Large Language Models: A Survey
Yizhang Jin, Jian Li, Yexin Liu, Tianjun Gu, Kai Wu, Zhengkai Jiang, Muyang He, Bo Zhao, Xin Tan, Zhenye Gan, Yabiao Wang, Chengjie Wang, Lizhuang Ma
Preprint, 2024
[ PDF ]
GEOcc: Geometrically Enhanced 3D Occupancy Network with Implicit-Explicit Depth Fusion and Contextual Self-Supervision
Xin Tan, Wenbin Wu, Zhiwei Zhang, Chaojie Fan, Yong Peng, Zhizhong Zhang, Yuan Xie, Lizhuang Ma
Preprint, 2024
[ PDF ]
Gradient Projection For Parameter-Efficient Continual Learning
Jingyang Qiao, Zhizhong Zhang, Xin Tan, Yanyun Qu, Wensheng Zhang, Yuan Xie
Preprint, 2024
(The extented version of ICLR 2024)
[ PDF ]
Generalized Category Discovery in Semantic Segmentation
Zhengyuan Peng, Qijian Tian, Jianqing Xu, Yizhang Jin, Xuequan Lu, Xin Tan#, Yuan Xie, Lizhuang Ma
Preprint, 2023
[ PDF ]
Harmonizing Visual Text Comprehension and Generation
Zhen Zhao, Jingqun Tang, Binghong Wu, Chunhui Lin, Shu Wei, Hao Liu, Xin Tan, Zhizhong Zhang, Can Huang, Yuan Xie
NeurIPS, 2024 (CCF-A)
[PDF]
[Code]
[中文简介]
Uni-to-Multi Modal Knowledge Distillation for Bidirectional LiDAR-Camera Semantic Segmentation
Tianfang Sun, Zhizhong Zhang, Xin Tan, Yong Peng, Yanyun Qu, Yuan Xie
IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2024 (CCF-A)
[PDF (Coming soon)]
[Code (Coming soon)]
PIG: Prompt Images Guidance for Night-Time Scene Parsing
Zhifeng Xie, Rui Qiu, Sen Wang, Xin Tan#, Yuan Xie, Lizhuang Ma (# corresponding author)
IEEE Trans. on Image Processing (TIP), 2024 (CCF-A)
[PDF ]
[Code ]
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)
[ PDF ]
[Code]
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)
[ PDF ]
[Code]
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)
[ PDF ]
[Code]
[中文简介]
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)
[ PDF ]
[Code]
[中文简介]
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)
[PDF ]
[Code]
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)
[PDF ]
[Code ]
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)
[PDF ]
[Code ]
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)
[PDF ]
[Code ]
[Project page ]
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
(ESI highly cited)
[PDF ]
[Result Maps ]
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)
[PDF ]
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)
[PDF ]
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)
[PDF ]
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)
[PDF ]
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.)
[PDF ]
[Code(Coming soon) ]
Point Mask Transformer for Outdoor Point Cloud Semantic Segmentation
Xiangqian Li, Xin Tan#, Zhizhong Zhang, Yuan Xie, and Lizhuang Ma (# corresponding author)
Computational Visual Media, 2023
[PDF (Coming soon) ]
Glass Surface Detection Method Based on Visual Distortion (in Chinese)
Xin Tan, Fulin Qi, Nan Wang, Zhizhong Zhang, Yuan Xie, and Lizhuang Ma
Journal of Computer-Aided Design & Computer Graphics, 2023 (CCF-A)
[PDF ]
Positive-Negative Receptive Field Reasoning for Omni-supervised 3D Segmentation
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)
[PDF ]
[Code ]
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)
[PDF ]
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)
[PDF ]
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)
[PDF]
[Code]
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)
[PDF]
[Code]
Learning to Detect Mirrors from Videos via Dual Correspondences
Jiaying Lin*, Xin Tan*, Rynson Lau (* joint first authors)
Proc. IEEE CVPR, 2023 (CCF-A)
[PDF]
[Code]
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)
[PDF]
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)
[ PDF ]
[ Code ]
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 (TPAMI), 2023 (CCF-A)
(ESI highly cited)
[PDF]
[Code]
[MSD Maps]
[PMD Maps]
[RGBD-Mirror Maps]
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
[PDF ]
[ Code ]
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)
[PDF]
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
[PDF]
[Results]
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)
[PDF]
[Project Page]
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
[PDF]
[Code]
HSNet: Hierarchical Semantics Network for Scene Parsing
Xin Tan, Jiachen Xu, Ying Cao, Ke Xu, Lizhuang Ma, Rynson Lau
The Visual Computer, 2022
[PDF]
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)
[PDF]
[Project Page]
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
[PDF]
Confident Semantic Ranking Loss for Part Parsing
Xin Tan, Jiachen Xu, Zhou Ye, Jinkun Hao, Lizhuang Ma
Proc. IEEE ICME, 2021
[PDF]
[Code]
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)
[PDF]
[Code]
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)
[PDF]
[Code]
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
[PDF]
[Results]
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)
[PDF]
[Code]
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)
[PDF]
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
[PDF]
[Results (DropBox)]
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
[PDF]
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
[PDF]
Deep Multi-Center Learning for Face Alignment
Zhiwen Shao, Hengliang Zhu, Xin Tan, Yangyang Hao, Lizhuang Ma
Neurocomputing, 2019.
[PDF]
[Codes]
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
[PDF]
Accurate and Efficient Object Detection with Context Enhancement Block
Yuhao Chen, Min Zhao, Xin Tan, Hong Tang, Dihua Sun
IEEE ICME 2019.
[PDF]
[Codes]
Facial Landmark Detection Under Large Pose
Yangyang Hao, Hengliang Zhu, Zhiwen Shao, Xin Tan, Lizhuang Ma
IEEE ICONIP, 2018.
[PDF]
Multi-Path Feature Fusion Network for Saliency Detection
Hengliang Zhu, Xin Tan, Zhiwen Shao, Yangyang Hao, Lizhuang Ma
IEEE ICME, 2018.
[PDF]
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.
[PDF]
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.
[PDF]
Object-Level Salience Detection by Progressively Enhanced Network
Wang Yuan, Haichuan Song, Xin Tan,, Chengwei Chen, Shouhong Ding, Lizhuang Ma
ICANN, 2019.
[PDF]
2023年度CCF-腾讯犀牛鸟基金优秀项目 (6/26), 2024.10
地理信息科技进步二等奖 (10/13) ,中国地理信息产业协会, 2022.8 (项目: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)
Shanghai Outstanding Graduates , Shanghai Municipality, 2022.6 (Only 2 Ph.D. Recipients in CS Department)
上海市科技进步特等奖 (13/17),上海市人民政府,2020.12
(项目:面向复杂场景的人物视觉理解技术及应用)
上海交通大学首届十大科技进展 入选项目 (7/9),上海交通大学,2020.12
World Artificial Intelligence Conference SAIL TOP30 project (8/13), 2019.10 世界人工智能大会TOP30榜单项目
Chongqing Outstanding Graduates , Chongqing Municipality, 2017.6
2017.9 - 2022.6: Joint Ph.D. Scheme (Dual Degree), CS Department, SJTU & CS Department, CityU HK
2013.9 - 2017.6: B.Eng, School of Automation, CQU 2014.9 - 2017.6: B.BM, School of Economics and Business Administration, CQU
2022/07–Present: Associate Research Professor, School of Computer Science and Technology, East China Normal University
2024 Fall, COMS0031132060.01 Signals and Systems (信号与系统), 36 hours, 2 credits
2024 Fall, COMS0031121015.03 Digital Logic Circuit (数字逻辑电路), 90 hours, 4 credits
2023 Fall, COMS0031121015.03 Digital Logic Circuit (数字逻辑电路), 90 hours, 4 credits (The most popular course for students)
2022 Fall, COMS0031132105.01 Introduction of Deep Learning (深度学习基础与导论) with Prof. Yuan Xie, 32 hours, 2 credits