Feihong He

According to our database, Feihong He authored at least 7 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

FineDiffusion: Scaling up Diffusion Models for Fine-grained Image Generation with 10, 000 Classes.

Ziying Pan, Kun Wang, Gang Li, Feihong He, Xiwang Li, Yongxuan Lai

CoRR, 2024

FreeStyle: Free Lunch for Text-guided Style Transfer using Diffusion Models.

Feihong He, Gang Li, Mengyuan Zhang, Leilei Yan, Lingyu Si, Fanzhang Li

CoRR, 2024

Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences.

Xiyao Wang, Yuhang Zhou, Xiaoyu Liu, Hongjin Lu, Yuancheng Xu, Feihong He, Jaehong Yoon, Taixi Lu, Gedas Bertasius, Mohit Bansal, Huaxiu Yao, Furong Huang

CoRR, 2024

CartoonDiff: Training-free Cartoon Image Generation with Diffusion Transformer Models.

Feihong He, Gang Li, Lingyu Si, Leilei Yan, Shimeng Hou, Hongwei Dong, Fanzhang Li

Proceedings of the IEEE International Conference on Acoustics, 2024

Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences.

Xiyao Wang, Yuhang Zhou, Xiaoyu Liu, Hongjin Lu, Yuancheng Xu, Feihong He, Jaehong Yoon, Taixi Lu, Fuxiao Liu, Gedas Bertasius, Mohit Bansal, Huaxiu Yao, Furong Huang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification.

Feihong He, Gang Li, Lingyu Si, Leilei Yan, Fanzhang Li, Fuchun Sun

CoRR, 2023

Boosting Few-Shot Classification with Lie Group Contrastive Learning.

Feihong He, Fanzhang Li

Proceedings of the Artificial Neural Networks and Machine Learning, 2023