1 citations · 1 across the 8 of their papers we have counts for
8 papers
Magnitude-Direction Decoupling for Fast Video Generation with Flow Matching Models
Haonan Xu, Feiyang Chen, Songkui Chen +5
Flow matching models for video generation achieve impressive performance but suffer from high computational overhead due to iterative denoising. In fact, the original model is not…
Shaping Parameter Contribution Patterns for Out-of-Distribution Detection
Haonan Xu, Yang Yang
Out-of-distribution (OOD) detection is a well-known challenge due to deep models often producing overconfident. In this paper, we reveal a key insight that trained classifiers tend…
Cross-Resolution Distribution Matching for Diffusion Distillation
Feiyang Chen, Hongpeng Pan, Haonan Xu +3
Diffusion distillation is central to accelerating image and video generation, yet existing methods are fundamentally limited by the denoising process, where step reduction has larg…
ITP: Instance-Aware Test Pruning for Out-of-Distribution Detection
Haonan Xu, Yang Yang
Out-of-distribution (OOD) detection is crucial for ensuring the reliable deployment of deep models in real-world scenarios. Recently, from the perspective of over-parameterization,…
The Solution for Language-Enhanced Image New Category Discovery
Haonan Xu, Dian Chao, Xiangyu Wu +2
Treating texts as images, combining prompts with textual labels for prompt tuning, and leveraging the alignment properties of CLIP have been successfully applied in zero-shot multi…
The Solution for the AIGC Inference Performance Optimization Competition
Sishun Pan, Haonan Xu, Zhonghua Wan +1
In recent years, the rapid advancement of large-scale pre-trained language models based on transformer architectures has revolutionized natural language processing tasks. Among the…
Technical report on target classification in SAR track
Haonan Xu, Han Yinan, Haotian Si +1
This report proposes a robust method for classifying oceanic and atmospheric phenomena using synthetic aperture radar (SAR) imagery. Our proposed method leverages the powerful pre-…
The Solution for the CVPR 2023 1st foundation model challenge-Track2
Haonan Xu, Yurui Huang, Sishun Pan +3
In this paper, we propose a solution for cross-modal transportation retrieval. Due to the cross-domain problem of traffic images, we divide the problem into two sub-tasks of pedest…