Haonan Lin

Orcid: 0000-0003-0437-5902

According to our database1, Haonan Lin authored at least 17 papers between 2020 and 2024.

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

Timeline

2020
2021
2022
2023
2024
0
5
10
15
9
1
7

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Early Identification of Rotten Potatoes Using an Electronic Nose Based on Feature Discretization and Ensemble Convolutional Neural Network.
Sensors, May, 2024

DOWN: Dynamic Order Weighted Network for Fine-grained Category Discovery.
Knowl. Based Syst., 2024

Unleashing the Potential of Model Bias for Generalized Category Discovery.
CoRR, 2024

Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing.
CoRR, 2024

SpotActor: Training-Free Layout-Controlled Consistent Image Generation.
CoRR, 2024

Knowledge Acquisition Disentanglement for Knowledge-based Visual Question Answering with Large Language Models.
CoRR, 2024

AGLA: Mitigating Object Hallucinations in Large Vision-Language Models with Assembly of Global and Local Attention.
CoRR, 2024

OneActor: Consistent Character Generation via Cluster-Conditioned Guidance.
CoRR, 2024

DreamSalon: A Staged Diffusion Framework for Preserving Identity-Context in Editable Face Generation.
CoRR, 2024

OneActor: Consistent Subject Generation via Cluster-Conditioned Guidance.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Flipped Classroom: Aligning Teacher Attention with Student in Generalized Category Discovery.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Schedule Your Edit: A Simple yet Effective Diffusion Noise Schedule for Image Editing.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

A Tri-Branch Network with Prototype-aware Matching for Universal Category Discovery.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Timestep-Aware Correction for Quantized Diffusion Models.
Proceedings of the Computer Vision - ECCV 2024, 2024

DreamSalon: A Staged Diffusion Framework for Preserving Identity-Context in Editable Face Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Generalized Category Discovery with Large Language Models in the Loop.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2020
DeLTA: Automated cell segmentation, tracking, and lineage reconstruction using deep learning.
PLoS Comput. Biol., 2020


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