no code implementations • 23 Jan 2025 • Jiayi Lei, Renrui Zhang, Xiangfei Hu, Weifeng Lin, Zhen Li, Wenjian Sun, Ruoyi Du, Le Zhuo, Zhongyu Li, Xinyue Li, Shitian Zhao, Ziyu Guo, Yiting Lu, Peng Gao, Hongsheng Li
Beyond traditional image generation, these models exhibit capabilities across a range of fields, including controllable generation, image editing, video, audio, 3D, and motion generation, as well as computer vision tasks like semantic segmentation and depth estimation.
no code implementations • 11 Dec 2024 • Zhenpeng Chen, Xinyue Li, Jie M. Zhang, Federica Sarro, Yang Liu
Intersectional fairness is a critical requirement for Machine Learning (ML) software, demanding fairness across subgroups defined by multiple protected attributes.
no code implementations • 25 Nov 2024 • Zhichao Zhang, Wei Sun, Xinyue Li, Yunhao Li, Qihang Ge, Jun Jia, ZiCheng Zhang, Zhongpeng Ji, Fengyu Sun, Shangling Jui, Xiongkuo Min, Guangtao Zhai
To address this challenge, we conduct a pioneering study on human activity AGV quality assessment, focusing on visual quality evaluation and the identification of semantic distortions.
no code implementations • 1 Nov 2024 • Xinyue Li, Zhenpeng Chen, Jie M. Zhang, Yiling Lou, Tianlin Li, Weisong Sun, Yang Liu, Xuanzhe Liu
Our benchmark reveals 72, 716 biased responses across the studied LLMs, with individual models yielding between 7, 754 and 16, 963 biased responses, underscoring the prevalence of bias in role-playing contexts.
no code implementations • 2 Sep 2024 • Ruoyu Wen, Stephanie Elena Crowe, Kunal Gupta, Xinyue Li, Mark Billinghurst, Simon Hoermann, Dwain Allan, Alaeddin Nassani, Thammathip Piumsomboon
Sensitive information detection is crucial in content moderation to maintain safe online communities.
no code implementations • 31 Jul 2024 • Zhichao Zhang, Wei Sun, Xinyue Li, Jun Jia, Xiongkuo Min, ZiCheng Zhang, Chunyi Li, Zijian Chen, Puyi Wang, Fengyu Sun, Shangling Jui, Guangtao Zhai
To bridge this gap, we propose the Unify Generated Video Quality assessment (UGVQ) model, designed to accurately evaluate the multi-dimensional quality of AIGC videos.
no code implementations • 22 Jun 2024 • Shiqi Gao, Huiyu Duan, Xinyue Li, Kang Fu, Yicong Peng, Qihang Xu, Yuanyuan Chang, Jia Wang, Xiongkuo Min, Guangtao Zhai
In this paper, we propose a quality-guided image enhancement paradigm that enables image enhancement models to learn the distribution of images with various quality ratings.
1 code implementation • 4 Mar 2024 • Xinyue Li, Aous Naman, David Taubman
The proposed approach involves two steps, a high-to-low step followed by a low-to-high step.
no code implementations • 29 Feb 2024 • Xinyue Li, Aous Naman, David Taubman
Moreover, we demonstrate that employing more learned lifting steps and more layers in each learned lifting operator do not contribute strongly to the compression performance.
1 code implementation • 29 Feb 2024 • Wentao Shi, Xiangnan He, Yang Zhang, Chongming Gao, Xinyue Li, Jizhi Zhang, Qifan Wang, Fuli Feng
To this end, we propose a Bi-level Learnable LLM Planner framework, which consists of a set of LLM instances and breaks down the learning process into macro-learning and micro-learning to learn macro-level guidance and micro-level personalized recommendation policies, respectively.
no code implementations • 6 Oct 2023 • Patrick Tinsley, Sandip Purnapatra, Mahsa Mitcheff, Aidan Boyd, Colton Crum, Kevin Bowyer, Patrick Flynn, Stephanie Schuckers, Adam Czajka, Meiling Fang, Naser Damer, Xingyu Liu, Caiyong Wang, Xianyun Sun, Zhaohua Chang, Xinyue Li, Guangzhe Zhao, Juan Tapia, Christoph Busch, Carlos Aravena, Daniel Schulz
New elements in this fifth competition include (1) GAN-generated iris images as a category of presentation attack instruments (PAI), and (2) an evaluation of human accuracy at detecting PAI as a reference benchmark.
no code implementations • 28 Aug 2023 • Collin Sakal, Tingyou Li, Juan Li, Xinyue Li
Timely implementation of interventions to slow cognitive decline among older adults requires accurate monitoring to detect changes in cognitive function.
2 code implementations • 5 Aug 2023 • Xinyue Li, Zhenpeng Chen, Jie M. Zhang, Federica Sarro, Ying Zhang, Xuanzhe Liu
This paper conducts fairness testing of automated pedestrian detection, a crucial but under-explored issue in autonomous driving systems.
1 code implementation • 8 Jul 2023 • Yuxuan Song, Xinyue Li, Lin Qi
In order to better explore the advantages of the two encoders, we design a cross-attention-based Feature Grafting Module to graft features extracted from Transformer branch into CNN branch, after which the features are aggregated in the Feature Fusion Module.
no code implementations • 24 May 2023 • Xinyue Li, Rishi Sonthalia
The relationship between the number of training data points, the number of parameters, and the generalization capabilities of models has been widely studied.
no code implementations • 6 Apr 2023 • Xinyue Li, Jian Wang, Wei Song, Yanling Du, Zhixiang Liu
The mainstream researche in deep metric learning can be divided into two genres: proxy-based and pair-based methods.
1 code implementation • 3 Oct 2022 • Guangyi Chen, Weiran Yao, Xiangchen Song, Xinyue Li, Yongming Rao, Kun Zhang
To solve this problem, we propose to apply optimal transport to match the vision and text modalities.