no code implementations • 7 Apr 2024 • Yixuan Sun, Ololade Sowunmi, Romain Egele, Sri Hari Krishna Narayanan, Luke Van Roekel, Prasanna Balaprakash
The experimental results show that the optimal set of hyperparameters enhanced model performance in single timestepping forecasting and greatly exceeded the baseline configuration in the autoregressive rollout for long-horizon forecasting up to 30 days.
no code implementations • 23 Jan 2024 • Yixuan Sun, Sami Khairy, Richard B. Vilim, Rui Hu, Akshay J. Dave
In power plant control, one often needs to obtain a precise representation of the system dynamics and carefully design the control scheme accordingly.
no code implementations • 19 Jan 2024 • Haibo Wang, Chenghang Lai, Yixuan Sun, Weifeng Ge
GCG learns multiple Gaussian functions to characterize the temporal structure of the video, and sample question-critical frames as positive moments to be the visual inputs of LMMs.
no code implementations • 10 Nov 2023 • Yixuan Sun, Elizabeth Cucuzzella, Steven Brus, Sri Hari Krishna Narayanan, Balu Nadiga, Luke Van Roekel, Jan Hückelheim, Sandeep Madireddy
Modeling is crucial to understanding the effect of greenhouse gases, warming, and ice sheet melting on the ocean.
no code implementations • 26 Sep 2023 • Romain Egele, Tyler Chang, Yixuan Sun, Venkatram Vishwanath, Prasanna Balaprakash
Machine learning (ML) methods offer a wide range of configurable hyperparameters that have a significant influence on their performance.
1 code implementation • 28 Jul 2023 • Romain Egele, Isabelle Guyon, Yixuan Sun, Prasanna Balaprakash
Hyperparameter optimization (HPO) is crucial for fine-tuning machine learning models but can be computationally expensive.
1 code implementation • CVPR 2023 • Yixuan Sun, Dongyang Zhao, Zhangyue Yin, Yiwen Huang, Tao Gui, Wenqiang Zhang, Weifeng Ge
The asymmetric feature learning module exploits a biased cross-attention mechanism to encode token features of source images with their target counterparts.
1 code implementation • CVPR 2023 • Yixuan Sun, Yiwen Huang, Haijing Guo, Yuzhou Zhao, Runmin Wu, Yizhou Yu, Weifeng Ge, Wenqiang Zhang
Semantic correspondence have built up a new way for object recognition.
1 code implementation • ICCV 2023 • Yiwen Huang, Yixuan Sun, Chenghang Lai, Qing Xu, Xiaomei Wang, Xuli Shen, Weifeng Ge
Following the spirit of multiple instance learning (MIL), we decompose the weakly supervised correspondence learning problem into three stages: image-level matching, region-level matching, and pixel-level matching.
no code implementations • ICCV 2023 • Jinglun Li, Xinyu Zhou, Pinxue Guo, Yixuan Sun, Yiwen Huang, Weifeng Ge, Wenqiang Zhang
We use one fold as the in-distribution dataset and the others as out-of-distribution datasets to evaluate the proposed method.
no code implementations • MM '22: Proceedings of the 30th ACM International Conference on Multimedia 2022 • Yan Wang, Yixuan Sun, Wei Song, Shuyong Gao, Yiwen Huang, Zhaoyu Chen, Weifeng Ge, and Wenqiang Zhang
To obtain consistent prediction probabilities from the dual path, we further propose a dual path regularization loss, aiming to minimize the divergence between the distributions of two-path embeddings.
Ranked #13 on Dynamic Facial Expression Recognition on DFEW
Dynamic Facial Expression Recognition Representation Learning
no code implementations • 21 Sep 2022 • Yixuan Sun, Christian Moya, Guang Lin, Meng Yue
This paper develops a Deep Graph Operator Network (DeepGraphONet) framework that learns to approximate the dynamics of a complex system (e. g. the power grid or traffic) with an underlying sub-graph structure.
no code implementations • CVPR 2022 • Yan Wang, Yixuan Sun, Yiwen Huang, Zhongying Liu, Shuyong Gao, Wei zhang, Weifeng Ge, Wenqiang Zhang
Current benchmarks for facial expression recognition (FER) mainly focus on static images, while there are limited datasets for FER in videos.
no code implementations • 17 Dec 2021 • Yixuan Sun, Tanwi Mallick, Prasanna Balaprakash, Jane Macfarlane
To that end, we focus on a data-centric approach to improve the accuracy and reduce the false alarm rate of traffic incident detection on highways.
no code implementations • 2 Aug 2021 • Xingjiao Wu, Luwei Xiao, Yixuan Sun, Junhang Zhang, Tianlong Ma, Liang He
Humans can provide training data for machine learning applications and directly accomplish tasks that are hard for computers in the pipeline with the help of machine-based approaches.
no code implementations • 31 Dec 2020 • Yixuan Sun, Chengyao Li, Qian Zhang, Aimin Zhou, Guixu Zhang
In recent years, the prevalence of several pulmonary diseases, especially the coronavirus disease 2019 (COVID-19) pandemic, has attracted worldwide attention.
1 code implementation • 7 Oct 2020 • Yixuan Sun, Imad Hanhan, Michael D. Sangid, Guang Lin
Evaluating the mechanical response of fiber-reinforced composites can be extremely time consuming and expensive.
no code implementations • 30 Sep 2020 • Jun Yang, Qing Li, Yixuan Sun
Tailings ponds are places for storing industrial waste.