Guosheng Lin
Associate Professor
Works on computer vision, including scene understanding and generative learning.
Guosheng Lin's lab at NTU works on recognition, detection & segmentation and data management & big data. 98 papers since 2023, 4 at top venues, mostly AAAI and Pattern Recognition. 10 PhD students. 19 alumni.
At a glance
- papers, 2023–2026
- 26/ year
- at T1 venues
- 4%
- PhD students
- 10
- MS students
- 0
- alumni listed
- 19
Papers by yearfrom the lab homepage, 2023–2026
- 7 papers2026 · T1 0 · collecting
- 30 papers2025 · T1 0
- 37 papers2024 · T1 4
- 24 papers2023 · T1 0
T1 venuesOtherVenues: AAAI, Pattern Recognition
Research focuspaper titles that use each topic's words
- Recognition, detection & segmentation18 papers
- Data management & big data3 papers
- scene3 papers
- scene understanding0 papers
- understanding0 papers
Paper list
From the lab homepage.
20267 papers
- AAAI Conference on Artificial Intelligence (AAAI)Adaptive Piecewise Distillation for Efficient LiDAR Data Generation
- IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)Boosting the No-Reference Image Quality Assessment via Low-Quality Pseudo References
- Pattern RecognitionDI-Net : Decomposed implicit garment transfer network for digital clothed 3D human
- IEEE Conference on Computer Vision and Pattern Recognition (CVPR)iMontage: Unified, Versatile, Highly Dynamic Many-to-many Image Generation
- IEEE Journal of Selected Topics in Signal ProcessingStyleAvatar3D: Leveraging Image-Text Diffusion Models for High-Fidelity 3D Avatar Generation
- International Conference on 3D Vision (3DV)Unlocking the Video Prior for High Fidelity Sparse Multi-View Image Synthesis
- IEEE Conference on Computer Vision and Pattern Recognition (CVPR)VLM-Guided Group Preference Alignment for Diffusion-based Human Mesh Recovery
202530 papers
- International Conference on Learning Representations (ICLR)ADAPT: Attentive Self-Distillation and Dual-Decoder Prediction Fusion for Continual Panoptic Segmentation
- International Conference on Machine Learning (ICML)ADHMR: Aligning Diffusion-based Human Mesh Recovery via Direct Preference Optimization
- IEEE Conference on Computer Vision and Pattern Recognition (CVPR)Attribute-formed Class-specific Concept Space: Endowing Language Bottleneck Model with Better Interpretability and Scalability
- IEEE Transactions on Artificial IntelligenceBoosting Time-series Domain Adaptation via A Time-Frequency Consensus Framework
- IEEE Conference on Computer Vision and Pattern Recognition (CVPR)CADCrafter: Generating Computer-Aided Design Models from Unconstrained Images
- ACMMM Datasets TrackCompressed Feature Quality Assessment: Dataset and Baselines
- IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)Dual-Camera All-in-Focus Neural Radiance Fields
- IEEE Transactions on Visualization and Computer Graphics (TVCG)Dynamic View Synthesis from Small Camera Motion Videos
- Neural Information Processing Systems (NeurIPS)Efficiently Maintaining the Multilingual Capacity of MCLIP in Downstream Cross-Modal Retrieval Tasks
- DisplaysExploiting independent query information for few-shot image segmentation
- IEEE Transactions on Information Forensics and SecurityGeneralizable Person Re-Identification From a 3D Perspective: Addressing Unpredictable Viewpoint Changes
- AAAI Conference on Artificial Intelligence (AAAI)IPVTON: Image-based 3D Virtual Try-on with Image Prompt Adapter
202437 papers
- European Conference on Computer Vision (ECCV)3DFG-PIFu: 3D Feature Grids for Human Digitization from Sparse Views
- International Journal of Computer Vision (IJCV)An Adaptive Correlation Filtering Method for Text-Based Person Search
- IEEE Conference on Computer Vision and Pattern Recognition (CVPR)AttriHuman-3D: Editable 3D Human Avatar Generation with Attribute Decomposition and Indexing
- IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)BokehMe++: Harmonious Fusion of Classical and Neural Rendering for Versatile Bokeh Creation
- IEEE Transactions on Neural Networks and Learning Systems (TNNLS)CMFAN: Cross-Modal Feature Alignment Network for Few-Shot Single-View 3D Reconstruction
- IEEE Transactions on Multimedia (TMM)CMNet: Component-Aware Matching Network for Few-Shot Point Cloud Classification
- IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)Context-aware and Semantic-consistent Spatial Interactions for One-shot Object Detection without Fine-tuning
- European Conference on Computer Vision (ECCV)DeCo: Decoupled Human-Centered Diffusion Video Editing with Motion Consistency
- AAAI (T1)Diverse and Stable 2D Diffusion Guided Text to 3D Generation with Noise Recalibration
- European Conference on Computer Vision (ECCV)Eliminating Feature Ambiguity for Few-Shot Segmentation
- ACL FindingsEnhanced Visual Instruction Tuning with Synthesized Image-Dialogue Data
- IEEE Transactions on Neural Networks and Learning Systems (TNNLS)Few-shot Image Generation via Style Adaptation and Content Preservation
202324 papers
- IEEE Conference on Computer Vision and Pattern Recognition (CVPR)3D Cinemagraphy from a Single Image
- IEEE Transactions on Multimedia (TMM)A Unified Transformer Framework for Group-based Segmentation: Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection
- International Conference on Computer Vision (ICCV)Collaborative Propagation on Multiple Instance Graphs for 3D Instance Segmentation with Single-point Supervision
- Pattern RecognitionContrastive Generative Network with Recursive-Loop for 3D Point Cloud Generalized Zero-Shot Classification
- IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)Dense Supervision Propagation for Weakly Supervised Semantic Segmentation on 3D Point Clouds
- International Journal of Computer Vision (IJCV)Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few-Shot Segmentation
- Pattern Recognition LettersImproving Tail-Class Representation with Centroid Contrastive Learning
- Transactions on Mobile Computing, .Indoor Smartphone SLAM with Acoustic Echoes
- International Conference on Computer Vision (ICCV)Label-Guided Knowledge Distillation for Continual Semantic Segmentation on 2D Images and 3D Point Clouds
- Pattern RecognitionLCReg: Long-Tailed Image Classification with Latent Categories based Recognition
- ACM International Conference on Multimedia (ACM MM)Make-It-4D: Synthesizing a Consistent Long-Term Dynamic Scene Video from a Single Image
- IEEE Transactions on Multimedia (TMM)Neural Logic Vision Language Explainer
Where alumni went19 listed
Apply to NTUFall 2027
Not announced yet
Computing and Data Science PhD
- Round
- Main
- Opens
- —
- GRE
- not required
- English
- TOEFL/IELTS
- Fee
- See program page
Not yet confirmed for this intake.
Similar labsnearest by research summary
- CAToronto
Aviad Levis
- Computational imaging & photography
- SGNUS
Xinchao Wang
- Vision-language & multimodal
- CNZhejiang
Chunhua Shen
- Recognition, detection & segmentation
- CNZhejiang
Dongming Lu
- Recognition, detection & segmentation
- CNZhejiang
Xi Li
- Recognition, detection & segmentation
- USUW
Steven Seitz
- 3D vision & neural rendering
Your notes
Save this lab to keep notes.
Data
Some numbers could not be verified:
- The lab site and the paper record do not agree.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.