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欢迎对人工智能、计算机视觉、多模态大模型、具身智能等前沿技术充满热情的同学加入课题组。
课题组坚持“高目标、高投入、高成长”的培养理念，致力于开展具有国际影响力的科研工作。我们不仅关注论文发表，更重视创新能力、工程能力和解决真实问题能力的培养。学生将有机会参与国家级科研项目、头部企业合作项目以及国际学术交流，鼓励并支持冲击顶级会议和期刊，在学术研究与产业实践中同步成长。
课题组为学生提供充足的发展资源与成长支持，包括：
有竞争力的科研津贴与成果奖励，优秀学生可获得远高于学校平均水平的资助；
参与高水平科研项目和产业合作项目的机会，积累解决真实问题的经验；
支持参加国内外学术会议、学术交流和访学活动；
提供高性能计算资源、实验设备以及开放包容的科研环境；
对有志于继续深造的学生，在博士申请、学术发展和职业规划方面给予重点指导；
对有志于创新创业的学生，提供项目孵化、产业资源对接和创业指导支持。
我们希望你具备以下特质：
对科研和技术创新具有发自内心的兴趣与好奇心；
具备扎实的专业基础和良好的编程能力；
能够主动学习、独立思考，富有批判能力；
面对困难愿意持续钻研，能够接受科研过程中的反复试错与挑战；
具有责任心、执行力和团队合作精神。
科研之路并不轻松，但对于真正热爱探索的人而言，它将是一段充满挑战、成长与成就感的旅程。
Adaptive Capacity Autoregressive Visual Tracking
Tong Lin, Yifan Bai, Shiyi Liang, Ruigang Niu, Xing Wei#
CVPR 2026 [Paper][Code][Poster][Project]
Omni-AD: A Large-scale and Versatile Benchmark for Industrial Anomaly Detection
Dahu Shi, Chengshen He, Shaochen Zhang, Bo Qian, Xiaochen Quan, Wencong Zhang, Xing Wei
CVPR 2026 [Paper][Code][Poster][Project]
PaddleOCR-VL: Boosting Document Parsing Efficiency and Performance with Coarse-to-Fine Visual Processing
Cheng Cui, Ting Sun, Suyin Liang, Tingquan Gao, Zelun Zhang, Jiaxuan Liu, Xueqing Wang, Changda Zhou, Hongen Liu, Manhui Lin, Yue Zhang, Yubo Zhang, Jing Zhang, Jun Zhang, Xing Wei, Yi Liu, Dianhai Yu, Yanjun Ma
CVPR 2026 [Paper][Code][Poster][Project]
JanusVLN: Decoupling Semantics and Spatiality with Dual Implicit Memory for Vision-Language Navigation
Shuang Zeng, Dekai Qi, Xinyuan Chang, Feng Xiong, Shichao Xie, Xiaolong Wu, Shiyi Liang, Mu Xu, Xing Wei#
ICLR 2026 [Paper][Code][Poster][Project]
FARTrack: Fast Autoregressive Visual Tracking with High Performance
Guijie Wang, Tong Lin, Yifan Bai, Anjia Cao, Shiyi Liang, Wangbo Zhao, Xing Wei#
ICLR 2026 [Paper][Code][Poster][Project]
DETR-ViP: Detection Transformer with Robust Discriminative Visual Prompts
Bo Qian, Dahu Shi, Xing Wei#
ICLR 2026 [Paper][Code][Poster][Project]
PriorDrive: Enhancing Online HD Mapping with Unified Vector Priors
Shuang Zeng, Xinyuan Chang, Xinran Liu, Yujian Yuan, Shiyi Liang, Zheng Pan, Mu Xu, Xing Wei#
AAAI 2026 [Paper][Code][Poster][Project]
Persistent Autoregressive Mapping with Traffic Rules for Autonomous Driving
Shiyi Liang, Xinyuan Chang, Changjie Wu, Huiyuan Yan, Yifan Bai, Xinran Liu, Hang Zhang, Yujian Yuan, Shuang Zeng, Mu Xu, Xing Wei#
AAAI 2026 [Paper][Code][Poster][Project]
FutureSightDrive: Thinking Visually with Spatio-Temporal CoT for Autonomous Driving
Shuang Zeng, Xinyuan Chang, Mengwei Xie, Xinran Liu, Yifan Bai, Zheng Pan, Mu Xu, Xing Wei#
NeurIPS 2025 (Spotlight, Top 3.2%) [Paper][Code][Poster][Project]
Driving by the Rules: A Benchmark for Integrating Traffic Sign Regulations into Vectorized HD Map
Xinyuan Chang, Maixuan Xue, Xinran Liu, Zheng Pan, Xing Wei#
CVPR 2025 (Highlight, Top 3.7%) [Paper][Code][Poster][Project]
SeqGrowGraph: Learning Lane Topology as a Chain of Graph Expansions
Mengwei Xie, Shuang Zeng, Xinyuan Chang, Xinran Liu, Zheng Pan, Mu Xu, Xing Wei#
ICCV 2025 [Paper][Code][Poster][Project]
Autoregressive Sequential Pretraining for Visual Tracking
Shiyi Liang, Yifan Bai, Yihong Gong, Xing Wei#
CVPR 2025 [Paper][Code][Poster][Project]
FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training
Anjia Cao, Xing Wei, Zhiheng Ma
CVPR 2025 [Paper][Code][Poster][Project]
Curriculum Dataset Distillation
Zhiheng Ma, Anjia Cao, Funing Yang, Yihong Gong, Xing Wei#
IEEE Transactions on Image Processing (TIP), 2025
[Paper][Code]
Positional Prompt Tuning for Efficient 3D Representation
Learning
Shaochen Zhang, Zekun Qi, Runpei Dong, Xiuxiu Bai, Xing Wei#
ACM Multimedia 2025 [Paper][Code][Poster][Project]
Projecting Points to Axes: Oriented Object Detection via Point-Axis Representation
Zeyang Zhao, Qilong Xue, Yuhang He, Yifan Bai, Xing Wei#, Yihong Gong
ECCV 2024 (Oral, Top 2.3%) [Paper][Code][Poster][Project]
Region-Aware Sequence-to-Sequence Learning for Hyperspectral Denoising
Jiahua Xiao, Yang Liu, Xing Wei#
ECCV 2024 [Paper][Code][Poster]
ReliaAvatar: A Robust Real-Time Avatar Animator with Integrated Motion Prediction
Bo Qian, Zhenhuan Wei, Jiashuo Li, Xing Wei#
IJCAI 2024 [Paper][Code][Poster]
ARTrackV2: Prompting Autoregressive Tracker Where to Look and How to Describe
Yifan Bai, Zeyang Zhao, Yihong Gong, Xing Wei#
CVPR 2024 [Paper][Code][Project]
Person-in-WiFi 3D: End-to-End Multi-Person 3D Pose Estimation with Wi-Fi
Kangwei Yan, Fei Wang, Bo Qian, Han Ding, Jinsong Han, Xing Wei
CVPR 2024 [Paper][Code][Project]
Evolving Parameterized Prompt Memory for Continual Learning
Muhammad Rifki Kurniawan, Xiang Song, Zhiheng Ma, Yuhang He, Yihong Gong, Qi Yang, Xing Wei#
AAAI 2024 (Oral, Top 2.3%) [Paper][Code][Poster][Project]
Sparse Parameterization for Epitomic Dataset Distillation
Xing Wei, Anjia Cao, Funing Yang, Zhiheng Ma
NeurIPS 2023 [Paper][Code][Poster][Open Review]
Autoregressive Visual Tracking
Xing Wei, Yifan Bai, Yongchao Zheng, Dahu Shi, Yihong Gong
CVPR 2023 (Highlight, Top 2.6%) [Paper][Code][Poster][Highlight Video]
DKT: Diverse Knowledge Transfer Transformer for Class Incremental Learning
Xinyuan Gao, Yuhang He#, Songlin Dong, Jie Cheng, Xing Wei#, Yihong Gong
CVPR 2023 [Paper][Code][Poster][Video]
Learning Symmetry-Aware Geometry Correspondences for 6D Object Pose Estimation
Heng Zhao, Shenxing Wei, Dahu Shi, Wenming Tan, Zheyang Li, Ye Ren, Xing Wei, Yi Yang, Shiliang Pu
ICCV 2023 [Paper]
Hyperspectral Image Denoising with Spectrum Alignment
Jiahua Xiao, Yantao Ji, Xing Wei#
ACM Multimedia 2023 [Paper][Code][Poster]
Hyperspectral Image Denoising Using Uncertainty-Aware Adjustor
Jiahua Xiao, Xing Wei#
IJCAI 2023 [Paper][Code][Poster]
End-to-End Multi-Person Pose Estimation with Transformers
Dahu Shi*, Xing Wei*, Liangqi Li, Ye Ren, Wenming Tan
CVPR 2022 (Oral, Top 4.2%) [Paper]
Scene-Adaptive Attention Network for Crowd Counting
Xing Wei, Yuanrui Kang, Jihao Yang, Yunfeng Qiu, Dahu Shi, Wenming Tan, Yihong Gong
ArXiv Preprint 2022 [Paper][Benchmark]
SOIT: Segmenting Objects with Instance-Aware Transformers
Xiaodong Yu, Dahu Shi, Xing Wei, Ye Ren, Tingqun Ye, Wenming Tan
AAAI 2022 [Paper]
Towards A Universal Model for Cross-Dataset Crowd Counting
Zhiheng Ma, Xiaopeng Hong, Xing Wei#, Yunfeng Qiu, Yihong Gong
ICCV 2021 [Paper]
InsPose: Instance-Aware Networks for Single-Stage Multi-Person Pose Estimation
Dahu Shi, Xing Wei, Xiaodong Yu, Wenming Tan, Ye Ren, Shiliang Pu
ACM Multimedia 2021 [Paper]
Direct Measure Matching for Crowd Counting
Hui Lin, Xiaopeng Hong, Zhiheng Ma, Xing Wei, Yunfeng Qiu, Yaowei Wang, Yihong Gong
IJCAI 2021 [Paper]
Learning to Count via Unbalanced Optimal Transport
Zhiheng Ma, Xing Wei, Xiaopeng Hong, Hui Lin, Yunfeng Qiu, Yihong Gong
AAAI 2021 [Paper]
Error Aware Density Isomorphism Reconstruction for Unsupervised Cross-Domain Crowd Counting
Yuhang He, Zhiheng Ma, Xing Wei, Xiaopeng Hong, Wei Ke, Yihong Gong
AAAI 2021 [Paper]
Few-Shot Class-Incremental Learning via Relation Knowledge Distillation
Songlin Dong, Xiaopeng Hong, Xiaoyu Tao, Xinyuan Chang, Xing Wei, Yihong Gong
AAAI 2021 [Paper]
Efficient Deep Image Denoising via Class Specific Convolution
Lu Xu, Jiawei Zhang, Xuanye Chang, Feng Zhang, Xing Wei, Jimmy S. Ren
AAAI 2021 [Paper]
Person Re-identification in Aerial Imagery
Shizhou Zhang, Qi Zhang, Yifei Yang, Xing Wei#, Peng Wang, Bingliang Jiao, Yanning Zhang
IEEE Transactions on Multimedia (TMM) 2021 [Paper][Data]
Co-Attentive Lifting For Infrared-Visible Person Re-identification
Xing Wei, Diangang Li, Xiaopeng Hong, Wei Ke, Yihong Gong
ACM Multimedia 2020 (Oral, Top 8.9%) [Paper]
Learning Scales from Points: A Scale-aware Probabilistic Model for Crowd Counting
Zhiheng Ma, Xing Wei, Xiaopeng Hong, Yihong Gong
ACM Multimedia 2020 (Oral, Top 8.9%) [Paper]
Topology-Preserving Class-Incremental Learning
Xiaoyu Tao, Xinyuan Chang, Xiaopeng Hong, Xing Wei, Yihong Gong
ECCV 2020 [Paper]
Multi-Target Multi-Camera Tracking by Tracklet-to-Target Assignment
Yuhang He*, Xing Wei*, Xiaopeng Hong, Weiwei Shi, Yihong Gong
IEEE Transactions on Image Processing (TIP), 2020 [Paper]
Few-Shot Class-Incremental Learning
Xiaoyu Tao, Xiaopeng Hong, Xinyuan Chang, Songlin Dong, Xing Wei, Yihong Gong
CVPR 2020 (Oral, Top 5.7%)[Paper][Code]
Infrared-Visible Cross-Modal Person Re-Identification with an X Modality
Diangang Li, Xing Wei#, Xiaopeng Hong, Yihong Gong
AAAI 2020 [Paper]
Bayesian Loss for Crowd Count Estimation with Point Supervision
Zhiheng Ma*, Xing Wei*, Xiaopeng Hong, Yihong Gong
ICCV 2019 (Oral, Top 4.3%) [Paper][Code]
Grassmann Pooling as Compact Homogeneous Bilinear Pooling for Fine-Grained Visual Classification
Xing Wei, Yue Zhang, Yihong Gong, Jiawei Zhang, Nanning Zheng
ECCV 2018 [Paper]
Kernelized Subspace Pooling for Deep Local Descriptors
Xing Wei, Yue Zhang, Yihong Gong, Nanning Zheng
CVPR 2018 [Paper]
Joint Contour Filtering
Xing Wei, Qingxiong Yang, Yihong Gong
International Journal of Computer Vision (IJCV), 2018 [Paper]
Superpixel Hierarchy
Xing Wei, Qingxiong Yang, Yihong Gong, Narendra Ahuja, Ming-Hsuan Yang
IEEE Transactions on Image Processing (TIP), 2018 [Paper]
Spatiotemporal GMM for Background Subtraction with Superpixel Hierarchy
Mingliang Chen, Xing Wei, Qingxiong Yang, Qing Li, Gang Wang, Ming-Hsuan Yang
IEEE TPAMI, 2018 [Paper]
电子邮件：weixing@xjtu.edu.cn
xingxjtu@gmail.com
通讯地址：陕西省西安市长安区创新港泓理楼
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