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Conference and Workshop Papers
- 2023
[c6]Runhui Huang, Yanxin Long, Jianhua Han, Hang Xu, Xiwen Liang, Chunjing Xu, Xiaodan Liang:
NLIP: Noise-Robust Language-Image Pre-training. AAAI 2023: 926-934- [c5]Runhui Huang, Jianhua Han, Guansong Lu, Xiaodan Liang, Yihan Zeng, Wei Zhang, Hang Xu:
DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability. ICCV 2023: 15667-15677 - [c4]Xinchi Deng, Han Shi, Runhui Huang, Changlin Li, Hang Xu, Jianhua Han, James T. Kwok, Shen Zhao, Wei Zhang, Xiaodan Liang:
GrowCLIP: Data-aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-training. ICCV 2023: 22121-22132 - 2022
- [c3]Lewei Yao, Runhui Huang, Lu Hou, Guansong Lu, Minzhe Niu, Hang Xu, Xiaodan Liang, Zhenguo Li, Xin Jiang, Chunjing Xu:
FILIP: Fine-grained Interactive Language-Image Pre-Training. ICLR 2022 - [c2]Jiaxi Gu, Xiaojun Meng, Guansong Lu, Lu Hou, Niu Minzhe, Xiaodan Liang, Lewei Yao, Runhui Huang, Wei Zhang, Xin Jiang, Chunjing Xu, Hang Xu:
Wukong: A 100 Million Large-scale Chinese Cross-modal Pre-training Benchmark. NeurIPS 2022 - 2019
- [c1]Peixiang Huang, Runhui Huang, Jianjie Huang, Rushi Yangchen, Zongyao He, Xiying Li, Junzhou Chen:
Deep Feature Fusion with Multiple Granularity for Vehicle Re-identification. CVPR Workshops 2019: 80-88
Informal and Other Publications
- 2024
- [i9]Runhui Huang, Kaixin Cai, Jianhua Han, Xiaodan Liang, Renjing Pei, Guansong Lu, Songcen Xu, Wei Zhang, Hang Xu:
LayerDiff: Exploring Text-guided Multi-layered Composable Image Synthesis via Layer-Collaborative Diffusion Model. CoRR abs/2403.11929 (2024) - [i8]Runhui Huang, Xinpeng Ding, Chunwei Wang, Jianhua Han, Yulong Liu, Hengshuang Zhao, Hang Xu, Lu Hou, Wei Zhang, Xiaodan Liang:
HiRes-LLaVA: Restoring Fragmentation Input in High-Resolution Large Vision-Language Models. CoRR abs/2407.08706 (2024) - 2023
- [i7]Haonan Wang, Minbin Huang, Runhui Huang, Lanqing Hong, Hang Xu, Tianyang Hu, Xiaodan Liang, Zhenguo Li:
Boosting Visual-Language Models by Exploiting Hard Samples. CoRR abs/2305.05208 (2023) - [i6]Xiao Dong, Runhui Huang, Xiaoyong Wei, Zequn Jie, Jianxing Yu, Jian Yin, Xiaodan Liang:
UniDiff: Advancing Vision-Language Models with Generative and Discriminative Learning. CoRR abs/2306.00813 (2023) - [i5]Runhui Huang, Jianhua Han, Guansong Lu, Xiaodan Liang, Yihan Zeng, Wei Zhang, Hang Xu:
DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability. CoRR abs/2308.09306 (2023) - [i4]Xinchi Deng, Han Shi, Runhui Huang, Changlin Li, Hang Xu, Jianhua Han, James T. Kwok, Shen Zhao, Wei Zhang, Xiaodan Liang:
GrowCLIP: Data-aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-training. CoRR abs/2308.11331 (2023) - 2022
- [i3]Yanxin Long, Jianhua Han, Runhui Huang, Xu Hang, Yi Zhu, Chunjing Xu, Xiaodan Liang:
P3OVD: Fine-grained Visual-Text Prompt-Driven Self-Training for Open-Vocabulary Object Detection. CoRR abs/2211.00849 (2022) - [i2]Runhui Huang, Yanxin Long, Jianhua Han, Hang Xu, Xiwen Liang, Chunjing Xu, Xiaodan Liang:
NLIP: Noise-robust Language-Image Pre-training. CoRR abs/2212.07086 (2022) - 2021
- [i1]Lewei Yao, Runhui Huang, Lu Hou, Guansong Lu, Minzhe Niu, Hang Xu, Xiaodan Liang, Zhenguo Li, Xin Jiang, Chunjing Xu:
FILIP: Fine-grained Interactive Language-Image Pre-Training. CoRR abs/2111.07783 (2021)
Coauthor Index
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