no code implementations • 23 Jan 2024 • Yuhang Zhang, Yue Yao, Xuannan Liu, Lixiong Qin, Wenjing Wang, Weihong Deng
Facial expression recognition (FER) models are typically trained on datasets with a fixed number of seven basic classes.
Facial Expression Recognition Facial Expression Recognition (FER) +1
no code implementations • 6 Oct 2023 • Xiaoxiao Sun, Yue Yao, Shengjin Wang, Hongdong Li, Liang Zheng
In this paper, we detail the settings of Alice benchmarks, provide an analysis of existing commonly-used domain adaptation methods, and discuss some interesting future directions.
no code implementations • 4 Oct 2023 • Mohamed-Khalil Bouzidi, Yue Yao, Daniel Goehring, Joerg Reichardt
Model Predictive Control lacks the ability to escape local minima in nonconvex problems.
1 code implementation • 18 Aug 2023 • Yue Yao, Xinyu Tian, Zheng Tang, Sujit Biswas, Huan Lei, Tom Gedeon, Liang Zheng
Because the digital twins individually mimic user bias, the resulting DT training set better reflects the characteristics of the target scenario and allows us to train more effective product detection and tracking models.
no code implementations • 15 Apr 2023 • Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Meenakshi S. Arya, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Sanjita Prajapati, Alice Li, Shangru Li, Krishna Kunadharaju, Shenxin Jiang, Rama Chellappa
The AI City Challenge's seventh edition emphasizes two domains at the intersection of computer vision and artificial intelligence - retail business and Intelligent Traffic Systems (ITS) - that have considerable untapped potential.
1 code implementation • CVPR 2023 • Yue Yao, Huan Lei, Tom Gedeon, Liang Zheng
We consider a scenario where we have access to the target domain, but cannot afford on-the-fly training data annotation, and instead would like to construct an alternative training set from a large-scale data pool such that a competitive model can be obtained.
no code implementations • 3 Nov 2022 • Yue Yao, Daniel Goehring, Joerg Reichardt
This suggests the feasibility of using linear trajectory models in future motion prediction systems with inherent mathematical advantages.
2 code implementations • 21 Apr 2022 • Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Yue Yao, Liang Zheng, Mohammed Shaiqur Rahman, Archana Venkatachalapathy, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff, Pranamesh Chakraborty, Alice Li, Shangru Li, Rama Chellappa
The four challenge tracks of the 2022 AI City Challenge received participation requests from 254 teams across 27 countries.
2 code implementations • 28 Feb 2022 • Yue Yao, Liang Zheng, Xiaodong Yang, Milind Napthade, Tom Gedeon
This article aims to use graphic engines to simulate a large number of training data that have free annotations and possibly strongly resemble to real-world data.
1 code implementation • 25 Apr 2021 • Milind Naphade, Shuo Wang, David C. Anastasiu, Zheng Tang, Ming-Ching Chang, Xiaodong Yang, Yue Yao, Liang Zheng, Pranamesh Chakraborty, Christian E. Lopez, Anuj Sharma, Qi Feng, Vitaly Ablavsky, Stan Sclaroff
Track 3 addressed city-scale multi-target multi-camera vehicle tracking.
1 code implementation • 18 Oct 2020 • Shiya Liu, Yue Yao, Chaoyue Xing, Tom Gedeon
The personal identity information in original EEGs are transformed into disguised ones with a CycleGANbased EEG disguising model.
1 code implementation • 13 Sep 2020 • Xuyang Shen, Jo Plested, Yue Yao, Tom Gedeon
This inspired our research which explores the performance of two models from pixel transformation in frontal facial synthesis, Pix2Pix and CycleGAN.
2 code implementations • ECCV 2020 • Yue Yao, Liang Zheng, Xiaodong Yang, Milind Naphade, Tom Gedeon
Between synthetic and real data, there is a two-level domain gap, i. e., content level and appearance level.