2 citations · 6 across the 9 of their papers we have counts for
9 papers
NTIRE 2024 Quality Assessment of AI-Generated Content Challenge
Xiaohong Liu, Xiongkuo Min, Guangtao Zhai +111
This paper reports on the NTIRE 2024 Quality Assessment of AI-Generated Content Challenge, which will be held in conjunction with the New Trends in Image Restoration and Enhancemen…
Video Diffusion Models: A Survey
Andrew Melnik, Michal Ljubljanac, Cong Lu +3
Diffusion generative models have recently become a powerful technique for creating and modifying high-quality, coherent video content. This survey provides a comprehensive overview…
Joint Generative Modeling of Grounded Scene Graphs and Images via Diffusion Models
Bicheng Xu, Qi Yan, Renjie Liao +2
We introduce a framework for joint grounded scene graph - image generation, a challenging task involving high-dimensional, multi-modal structured data. To effectively model this co…
AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval
Qi Yan, Raihan Seraj, Jiawei He +2
Machine-based prediction of real-world events is garnering attention due to its potential for informed decision-making. Whereas traditional forecasting predominantly hinges on stru…
SwinGNN: Rethinking Permutation Invariance in Diffusion Models for Graph Generation
Qi Yan, Zhengyang Liang, Yang Song +2
Diffusion models based on permutation-equivariant networks can learn permutation-invariant distributions for graph data. However, in comparison to their non-invariant counterparts,…
What Constitutes Good Contrastive Learning in Time-Series Forecasting?
Chiyu Zhang, Qi Yan, Lili Meng +1
In recent years, the introduction of self-supervised contrastive learning (SSCL) has demonstrated remarkable improvements in representation learning across various domains, includi…
CrossLoc: Scalable Aerial Localization Assisted by Multimodal Synthetic Data
Qi Yan, Jianhao Zheng, Simon Reding +2
We present a visual localization system that learns to estimate camera poses in the real world with the help of synthetic data. Despite significant progress in recent years, most l…
Social NCE: Contrastive Learning of Socially-aware Motion Representations
Yuejiang Liu, Qi Yan, Alexandre Alahi
Learning socially-aware motion representations is at the core of recent advances in multi-agent problems, such as human motion forecasting and robot navigation in crowds. Despite p…
Measurement Scheduling for Cooperative Localization in Resource-Constrained Conditions
Qi Yan, Li Jiang, Solmaz Kia
This paper studies the measurement scheduling problem for a group of N mobile robots moving on a flat surface that are preforming cooperative localization (CL). We consider a scena…