Qianli Feng

Orcid: 0000-0002-7550-2019

According to our database1, Qianli Feng authored at least 14 papers between 2017 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Crossmodal Knowledge Distillation with WordNet-Relaxed Text Embeddings for Robust Image Classification.
CoRR, March, 2025

Supervision-free Vision-Language Alignment.
CoRR, January, 2025

Recommendation feedback-based dynamic adaptive training for efficient social item recommendation.
Expert Syst. Appl., 2025

Why does Knowledge Distillation work? Rethink its attention and fidelity mechanism.
Expert Syst. Appl., 2025

DreamBlend: Advancing Personalized Fine-Tuning of Text-to-Image Diffusion Models.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Structured Human Assessment of Text-to-Image Generative Models.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Be More Specific: Evaluating Object-centric Realism in Synthetic Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2023
Network-Free, Unsupervised Semantic Segmentation with Synthetic Images.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Near Perfect GAN Inversion.
CoRR, 2022

2021
Adding Knowledge to Unsupervised Algorithms for the Recognition of Intent.
Int. J. Comput. Vis., 2021

Diamond in the rough: Improving image realism by traversing the GAN latent space.
CoRR, 2021

Detail Me More: Improving GAN's photo-realism of complex scenes.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

When do GANs replicate? On the choice of dataset size.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2017
EmotioNet Challenge: Recognition of facial expressions of emotion in the wild.
CoRR, 2017


  Loading...