Chunhua Shen
Chair Professor
Researches computer vision and machine learning, including dense prediction, detection and segmentation, and vision foundation models.
Chunhua Shen's lab at Zhejiang works on recognition, detection & segmentation, generative & foundation models and large language models. 116 papers since 2023, 109 at top venues, mostly ICLR and ICCV. 11 PhD students and 4 master's students. 12 alumni. Applications close .
At a glance
- papers, 2023–2026
- 30/ year
- at T1 venues
- 94%
- PhD students
- 11
- MS students
- 4
- alumni listed
- 12
Papers by yearfrom the lab homepage, 2023–2026
- 38 papers2026 · T1 35 · collecting
- 27 papers2025 · T1 26
- 25 papers2024 · T1 23
- 26 papers2023 · T1 25
T1 venuesOtherVenues: ICLR, ICCV, IJCV, CVPR, TPAMI
Research focuspaper titles that use each topic's words
- Recognition, detection & segmentation21 papers
- Generative & foundation models20 papers
- Large language models14 papers
- segmentation14 papers
- dense1 paper
Paper list
From the lab homepage.
202638 papers
- ICLR (T1)\(\pi^3\): permutation-equivariant visual geometry learning (opens in a new tab)
- ICML (T1)ACTIVE-O3: empowering multimodal large language models with active perception via GRPO (opens in a new tab)
- Proc. ACM Special Interest Group on Computer Graphics and Interactive Techniques Conference, Conference papersAGILE: hand-object interaction reconstruction from video via agentic generation (opens in a new tab)
- Nature Communications (T1)Atlas of predicted protein complex structures across kingdoms (opens in a new tab)
- CoRL (T1)CoRE-VLA: towards scalable and robust vision-language-action modeling via conditional routing of experts (opens in a new tab)
- CVPR (T1)Eliciting complex spatial reasoning in MLLMs through wide-baseline matching (opens in a new tab)
- CVPR (T1)Exploring spatial intelligence from a generative perspective (opens in a new tab)
- Findings of EMNLPForeDreamer: a self-evolving dual-agent memory architecture for future event prediction (opens in a new tab)
- ICML (T1)GAE: unleashing physical potential of VLM with generalizable action expert (opens in a new tab)
- CVPR (T1)GeoMotion: rethinking motion segmentation via latent 4d geometry (opens in a new tab)
- CoRL (T1)Graph-reweighted behavior cloning with human interventions for precise robotic manipulation (opens in a new tab)
- EMNLP (T1)Improving diffusion language model decoding through joint search in generation order and token space (opens in a new tab)
202527 papers
- ICCV (T1)Aether: geometric-aware unified world modeling (opens in a new tab)
- ICLR (T1)Boltzmann-aligned inverse folding model as a predictor of mutational effects on protein-protein interactions (opens in a new tab)
- ICLR (T1)Depth any video with scalable synthetic data (opens in a new tab)
- NeurIPS (T1)Diception: a generalist diffusion model for visual perceptual tasks (opens in a new tab)
- TPAMI (T1)Diffusion models are efficient data generators for human mesh recovery (opens in a new tab)
- ICCV (T1)Fine-grained abnormality prompt learning for zero-shot anomaly detection (opens in a new tab)
- ICLR (T1)Framer: interactive frame interpolation (opens in a new tab)
- IJCV (T1)FreeCustom: training-free multi-concept customization for image and video generation (opens in a new tab)
- Proc. ACM Special Interest Group on Computer Graphics and Interactive Techniques Conference, Conference papersGenerative video matting (opens in a new tab)
- TPAMI (T1)Leaning dual-stream conditional concepts in compositional zero-shot learning (opens in a new tab)
- CVPR (T1)MovieBench: a hierarchical movie level dataset for long video generation (opens in a new tab)
- ICLR (T1)MovieDreamer: hierarchical generation for coherent long visual sequences (opens in a new tab)
202425 papers
- NeurIPS (T1)A simple image segmentation framework via in-context examples (opens in a new tab)
- IJCV (T1)AutoStory: generating diverse storytelling images with minimal human effort (opens in a new tab)
- ICLR (T1)De novo protein design using geometric vector field networks (opens in a new tab)
- CVPR (T1)DiverGen: improving instance segmentation by learning wider data distribution with more diverse generative data (opens in a new tab)
- IJCV (T1)End-to-end video text spotting with Transformer (opens in a new tab)
- ICML (T1)Floating anchor diffusion model for multi-motif scaffolding (opens in a new tab)
- ECCV (T1)FreeCompose: generic zero-shot image composition with diffusion prior (opens in a new tab)
- CVPR (T1)FreeCustom: tuning-free customized image generation for multi-concept composition (opens in a new tab)
- ICML (T1)Generative active learning for long-tailed instance segmentation (opens in a new tab)
- Proc. Findings of the Association for Computational LinguisticsLoRAPrune: structured pruning meets low-rank parameter-efficient fine-tuning (opens in a new tab)
- IJCV (T1)Masked channel modeling for bootstrapping visual pre-training (opens in a new tab)
- ICLR (T1)Matcher: segment anything with one shot using all-purpose feature matching (opens in a new tab)
202326 papers
- IJCV (T1)A dynamic feature interaction framework for multi-task visual perception (opens in a new tab)
- ICLR (T1)Conditional positional encodings for vision transformers (opens in a new tab)
- ICCV (T1)CTVIS: consistent training for online video instance segmentation (opens in a new tab)
- NeurIPS (T1)DatasetDM: synthesizing data with perception annotations using diffusion models (opens in a new tab)
- KDD (T1)Deep weakly-supervised anomaly detection (opens in a new tab)
- ICCV (T1)Diffumask: synthesizing images with pixel-level annotations for semantic segmentation using diffusion models (opens in a new tab)
- AAAI (T1)FoPro: few-shot guided robust webly-supervised prototypical learning (opens in a new tab)
- IJCV (T1)From open set to closed set: supervised spatial divide-and-conquer for object counting (opens in a new tab)
- ICCV (T1)Generative prompt model for weakly supervised object localization (opens in a new tab)
- CVPR (T1)Images speak in images: a generalist painter for in-context visual learning (opens in a new tab)
- CVPR (T1)Learning conditional attributes for compositional zero-shot learning (opens in a new tab)
- TPAMI (T1)Learning from partially labeled data for multi-organ and tumor segmentation (opens in a new tab)
Where alumni went12 listed, 0% to industry
Industry 0Academia 1
Also to
- PhD at Virginia Tech University
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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