Yikai Wang

Orcid: 0000-0001-6107-5063

Affiliations:
  • Fudan University, School of Data Science, Shanghai, China


According to our database1, Yikai Wang authored at least 27 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Spatial-Temporal Aware Visuomotor Diffusion Policy Learning.
CoRR, July, 2025

3D StreetUnveiler with Semantic-aware 2DGS - a simple baseline.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Adaptive Pruning of Pretrained Transformer via Differential Inclusions.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

ReasonGrounder: LVLM-Guided Hierarchical Feature Splatting for Open-Vocabulary 3D Visual Grounding and Reasoning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Towards Enhanced Image Inpainting: Mitigating Unwanted Object Insertion and Preserving Color Consistency.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Knockoffs-SPR: Clean Sample Selection in Learning With Noisy Labels.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

LEA: Learning Latent Embedding Alignment Model for fMRI Decoding and Encoding.
Trans. Mach. Learn. Res., 2024

Repositioning the Subject within Image.
Trans. Mach. Learn. Res., 2024

3D StreetUnveiler with Semantic-Aware 2DGS.
CoRR, 2024

Towards Global Optimal Visual In-Context Learning Prompt Selection.
CoRR, 2024

Repositioning the Subject within Image.
CoRR, 2024

Unified Lexical Representation for Interpretable Visual-Language Alignment.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Towards Global Optimal Visual In-Context Learning Prompt Selection.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

NeuroPictor: Refining fMRI-to-Image Reconstruction via Multi-individual Pretraining and Multi-level Modulation.
Proceedings of the Computer Vision - ECCV 2024, 2024

Test-Time Linear Out-of-Distribution Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

LeftRefill: Filling Right Canvas based on Left Reference through Generalized Text-to-Image Diffusion Model.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Towards Stable and Faithful Inpainting.
CoRR, 2023

A Unified Prompt-Guided In-Context Inpainting Framework for Reference-based Image Manipulations.
CoRR, 2023

Semantic Neural Decoding via Cross-Modal Generation.
CoRR, 2023

Entity-Level Text-Guided Image Manipulation.
CoRR, 2023

Coarse-to-Fine Amodal Segmentation with Shape Prior.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
How to Trust Unlabeled Data? Instance Credibility Inference for Few-Shot Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

A Simple Test-Time Method for Out-of-Distribution Detection.
CoRR, 2022

Scalable Penalized Regression for Noise Detection in Learning with Noisy Labels.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

FFD Augmentor: Towards Few-Shot Oracle Character Recognition from Scratch.
Proceedings of the Computer Vision - ACCV 2022, 2022

2020
Instance Credibility Inference for Few-Shot Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

An Embarrassingly Simple Baseline to One-shot Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020


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