Xi Li
教授
Works on computer vision, machine learning, pattern recognition and data mining.
Xi Li's lab at Zhejiang works on recognition, detection & segmentation and data management & big data. 71 papers since 2023, 42 at top venues, mostly TIP and CVPR. Applications close .
At a glance
- papers, 2023–2026
- 19/ year
- at T1 venues
- 59%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom DBLP, 2023–2026
- 7 papers2026 · T1 5 · collecting
- 26 papers2025 · T1 16
- 18 papers2024 · T1 11
- 20 papers2023 · T1 10
T1 venuesOtherVenues: TIP, CVPR, AAAI, ICCV, Neurocomputing
Research focuspaper titles that use each topic's words
- Recognition, detection & segmentation28 papers
- Data management & big data4 papers
- pattern recognition0 papers
- pattern0 papers
- data mining0 papers
Paper list
From DBLP.
20267 papers
- ICLR (T1)All Patches Matter, More Patches Better: Enhance AI-Generated Image Detection via Panoptic Patch Learning (opens in a new tab)
- IEEE Signal Process. Lett.CamI2V-Epipolar: Epipolar-Constrained Block Sparse Attention for Camera-Controlled Image-to-Video Diffusion Model (opens in a new tab)
- TIP (T1)CWPS: Efficient Channel-Wise Parameter Sharing for Knowledge Transfer (opens in a new tab)
- TIP (T1)Exploring Vision-Based Active 3D Object Detection by Informativeness Characterization (opens in a new tab)
- TPAMI (T1)MovieChat+: Question-Aware Sparse Memory for Long Video Question Answering (opens in a new tab)
- CVPR (T1)REL-SF4PASS: Panoramic Semantic Segmentation with REL Depth Representation and Spherical Fusion (opens in a new tab)
- Comput. Aided Des.Text-driven 3D human motion generation for pose estimation using dual-transformer architecture (opens in a new tab)
202526 papers
- TIP (T1)Associate Everything Detected: Facilitating Tracking-by-Detection to the Unknown (opens in a new tab)
- TIP (T1)Balancing Feature Alignment and Uniformity for Few-Shot Classification (opens in a new tab)
- TIP (T1)CLASH: Complementary Learning With Neural Architecture Search for Gait Recognition (opens in a new tab)
- NeurIPS (T1)Collaborating Vision, Depth, and Thermal Signals for Multi-Modal Tracking: Dataset and Algorithm (opens in a new tab)
- NeurocomputingContext-based emotion recognition: A survey (opens in a new tab)
- AAAI (T1)CustomCrafter: Customized Video Generation with Preserving Motion and Concept Composition Abilities (opens in a new tab)
- TIP (T1)Decoupling Discriminative Attributes for Few-Shot Fine-Grained Recognition (opens in a new tab)
- ICCV (T1)Dynamic-DINO: Fine-Grained Mixture of Experts Tuning for Real-Time Open-Vocabulary Object Detection (opens in a new tab)
- Multim. Syst.Emotion recognition in live broadcasting: a multimodal deep learning framework (opens in a new tab)
- AAAI (T1)Energy-Guided Optimization for Personalized Image Editing with Pretrained Text-to-Image Diffusion Models (opens in a new tab)
- NeurocomputingEnhancing Tiny Object Detection Using Guided Object Inference Slicing (GOIS): An efficient dynamic adaptive framework for fine-tuned and non-fine-tuned deep learning models (opens in a new tab)
- AAAI (T1)Exploring Unbiased Deepfake Detection via Token-Level Shuffling and Mixing (opens in a new tab)
202418 papers
- J. Comput. Sci. Technol.A Survey of Multimodal Controllable Diffusion Models (opens in a new tab)
- CVPR (T1)BEVSpread: Spread Voxel Pooling for Bird's-Eye-View Representation in Vision-Based Roadside 3D Object Detection (opens in a new tab)
- IEEE Trans. Neural Networks Learn. Syst.Epoch-Evolving Gaussian Process Guided Learning for Classification (opens in a new tab)
- TIP (T1)GaitMPL: Gait Recognition With Memory-Augmented Progressive Learning (opens in a new tab)
- TIP (T1)IDNet: Information Decomposition Network for Fast Panoptic Segmentation (opens in a new tab)
- ECCV (T1)Improving Zero-Shot Generalization for CLIP with Variational Adapter (opens in a new tab)
- TPAMI (T1)MgSvF: Multi-Grained Slow versus Fast Framework for Few-Shot Class-Incremental Learning (opens in a new tab)
- TIP (T1)MLMG-SGG: Multilabel Scene Graph Generation With Multigrained Features (opens in a new tab)
- SMCMRCAN: Multi-scale Region Correlation-driven Adaptive Normalization for Image Harmonization (opens in a new tab)
- Multim. Tools Appl.Multimodal pre-train then transfer learning approach for speaker recognition (opens in a new tab)
- ECCV (T1)RCS-Prompt: Learning Prompt to Rearrange Class Space for Prompt-Based Continual Learning (opens in a new tab)
- Pattern RecognitionReading order detection in visually-rich documents with multi-modal layout-aware relation prediction (opens in a new tab)
202320 papers
- ACM Trans. Multim. Comput. Commun. Appl.A Large-Scale Synthetic Gait Dataset Towards in-the-Wild Simulation and Comparison Study (opens in a new tab)
- ACM Trans. Multim. Comput. Commun. Appl.A Review on Methods and Applications in Multimodal Deep Learning (opens in a new tab)
- CVPR WorkshopAction Probability Calibration for Efficient Naturalistic Driving Action Localization (opens in a new tab)
- Pattern Recognit. Lett.Adaptive cooperative exploration for reinforcement learning from imperfect demonstrations (opens in a new tab)
- ICCV (T1)Bridging Cross-task Protocol Inconsistency for Distillation in Dense Object Detection (opens in a new tab)
- ACM Trans. Multim. Comput. Commun. Appl.D3T-GAN: Data-Dependent Domain Transfer GANs for Image Generation with Limited Data (opens in a new tab)
- IJCAI (T1)DenseDINO: Boosting Dense Self-Supervised Learning with Token-Based Point-Level Consistency (opens in a new tab)
- IEEE Trans. Neural Networks Learn. Syst.Elastic Knowledge Distillation by Learning From Recollection (opens in a new tab)
- IJCNNFinding Cycles in Graph: A Unified Approach for Various NER Tasks (opens in a new tab)
- NeurocomputingForgery face detection via adaptive learning from multiple experts (opens in a new tab)
- TIP (T1)Fuzzy Semantics for Arbitrary-Shaped Scene Text Detection (opens in a new tab)
- CVPR (T1)GaitGCI: Generative Counterfactual Intervention for Gait Recognition (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to ZhejiangFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- Per ZJU language requirements
- Fee
- RMB 800
Not yet confirmed for this intake.
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Data
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- The alumni list could not be found on the lab site.
- The lab site and the paper record do not agree.
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