Search Results for author: Jiahui Liu

Found 14 papers, 9 papers with code

NTIRE 2025 Challenge on Image Super-Resolution ($\times$4): Methods and Results

1 code implementation20 Apr 2025 Zheng Chen, Kai Liu, Jue Gong, Jingkai Wang, Lei Sun, Zongwei Wu, Radu Timofte, Yulun Zhang, Xiangyu Kong, Xiaoxuan Yu, Hyunhee Park, Suejin Han, Hakjae Jeon, Dafeng Zhang, Hyung-Ju Chun, Donghun Ryou, Inju Ha, Bohyung Han, Lu Zhao, Yuyi Zhang, Pengyu Yan, Jiawei Hu, Pengwei Liu, Fengjun Guo, Hongyuan Yu, Pufan Xu, Zhijuan Huang, Shuyuan Cui, Peng Guo, Jiahui Liu, Dongkai Zhang, Heng Zhang, Huiyuan Fu, Huadong Ma, Yanhui Guo, Sisi Tian, Xin Liu, Jinwen Liang, Jie Liu, Jie Tang, Gangshan Wu, Zeyu Xiao, Zhuoyuan Li, Yinxiang Zhang, Wenxuan Cai, Vijayalaxmi Ashok Aralikatti, Nikhil Akalwadi, G Gyaneshwar Rao, Chaitra Desai, Ramesh Ashok Tabib, Uma Mudenagudi, Marcos V. Conde, Alejandro Merino, Bruno Longarela, Javier Abad, Weijun Yuan, Zhan Li, Zhanglu Chen, Boyang Yao, Aagam Jain, Milan Kumar Singh, Ankit Kumar, Shubh Kawa, Divyavardhan Singh, Anjali Sarvaiya, Kishor Upla, Raghavendra Ramachandra, Chia-Ming Lee, Yu-Fan Lin, Chih-Chung Hsu, Risheek V Hiremath, Yashaswini Palani, YuXuan Jiang, Qiang Zhu, Siyue Teng, Fan Zhang, Shuyuan Zhu, Bing Zeng, David Bull, Jingwei Liao, Yuqing Yang, Wenda Shao, Junyi Zhao, Qisheng Xu, Kele Xu, Sunder Ali Khowaja, Ik Hyun Lee, Snehal Singh Tomar, Rajarshi Ray, Klaus Mueller, Sachin Chaudhary, Surya Vashisth, Akshay Dudhane, Praful Hambarde, Satya Naryan Tazi, Prashant Patil, Santosh Kumar Vipparthi, Subrahmanyam Murala, Bilel Benjdira, Anas M. Ali, Wadii Boulila, Zahra Moammeri, Ahmad Mahmoudi-Aznaveh, Ali Karbasi, Hossein Motamednia, Liangyan Li, Guanhua Zhao, Kevin Le, Yimo Ning, Haoxuan Huang, Jun Chen

This paper presents the NTIRE 2025 image super-resolution ($\times$4) challenge, one of the associated competitions of the 10th NTIRE Workshop at CVPR 2025.

Semantic-Spatial Feature Fusion with Dynamic Graph Refinement for Remote Sensing Image Captioning

no code implementations30 Mar 2025 Maofu Liu, Jiahui Liu, Xiaokang Zhang

In the DGFR module, a graph attention network captures the relationships between feature nodes, while a dynamic weighting mechanism prioritizes objects that are most relevant to the current scene and suppresses less significant ones.

Graph Attention Image Captioning

DF-GNN: Dynamic Fusion Framework for Attention Graph Neural Networks on GPUs

1 code implementation25 Nov 2024 Jiahui Liu, Zhenkun Cai, Zhiyong Chen, Minjie Wang

The execution of AT-GNN operations without kernel fusion results in heavy data movement and significant kernel launch overhead, while fixed thread scheduling in existing GNN kernel fusion strategies leads to sub-optimal performance, redundant computation and unbalanced workload.

Scheduling

Learning from Neighbors: Category Extrapolation for Long-Tail Learning

no code implementations21 Oct 2024 Shizhen Zhao, Xin Wen, Jiahui Liu, Chuofan Ma, Chunfeng Yuan, Xiaojuan Qi

To prevent the overwhelming presence of auxiliary classes from disrupting training, we introduce a neighbor-silencing loss that encourages the model to focus on class discrimination within the target dataset.

Long-tail Learning Representation Learning

Can OOD Object Detectors Learn from Foundation Models?

1 code implementation8 Sep 2024 Jiahui Liu, Xin Wen, Shizhen Zhao, Yingxian Chen, Xiaojuan Qi

Out-of-distribution (OOD) object detection is a challenging task due to the absence of open-set OOD data.

Object object-detection +2

Can 3D Vision-Language Models Truly Understand Natural Language?

1 code implementation21 Mar 2024 Weipeng Deng, Jihan Yang, Runyu Ding, Jiahui Liu, Yijiang Li, Xiaojuan Qi, Edith Ngai

To test the language understandability of 3D-VL models, we first propose a language robustness task for systematically assessing 3D-VL models across various tasks, benchmarking their performance when presented with different language style variants.

Benchmarking Diversity

Compositional Generalization for Multi-label Text Classification: A Data-Augmentation Approach

1 code implementation18 Dec 2023 Yuyang Chai, Zhuang Li, Jiahui Liu, Lei Chen, Fei Li, Donghong Ji, Chong Teng

Our experiments show that this data augmentation approach significantly improves the compositional generalization capabilities of classification models on our benchmarks, with both generation models surpassing other text generation baselines.

Data Augmentation Multi Label Text Classification +3

Thinking Outside the Box: Orthogonal Approach to Equalizing Protected Attributes

no code implementations21 Nov 2023 Jiahui Liu, Xiaohao Cai, Mahesan Niranjan

There is growing concern that the potential of black box AI may exacerbate health-related disparities and biases such as gender and ethnicity in clinical decision-making.

Attribute Decision Making +1

MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point Clouds

1 code implementation CVPR 2023 Jiahui Liu, Chirui Chang, Jianhui Liu, Xiaoyang Wu, Lan Ma, Xiaojuan Qi

Unlike the single-scan-based semantic segmentation task, this task requires distinguishing the motion states of points in addition to their semantic categories.

3D Semantic Segmentation Representation Learning +1

GO-LDA: Generalised Optimal Linear Discriminant Analysis

no code implementations23 May 2023 Jiahui Liu, Xiaohao Cai, Mahesan Niranjan

Linear discriminant analysis (LDA) has been a useful tool in pattern recognition and data analysis research and practice.

Large-Scale Traffic Congestion Prediction based on Multimodal Fusion and Representation Mapping

2 code implementations23 Aug 2022 Bodong Zhou, Jiahui Liu, Songyi Cui, Yaping Zhao

With the progress of the urbanisation process, the urban transportation system is extremely critical to the development of cities and the quality of life of the citizens.

Weakly Supervised Real-time Image Cropping based on Aesthetic Distributions

no code implementations15 Oct 2020 Peng Lu, Jiahui Liu, Xujun Peng, Xiaojie Wang

In order to tackle this problem, a weakly supervised cropping frame- work is proposed, where the distribution dissimilarity between high quality images and cropped images is used to guide the coordinate predictor’s training and the ground truths of cropping windows are not required by the proposed method.

Image Cropping

Mining Functional Modules by Multiview-NMF of Phenome-Genome Association

1 code implementation11 May 2017 YaoGong Zhang, YingJie Xu, Xin Fan, YuXiang Hong, Jiahui Liu, ZhiCheng He, YaLou Huang, MaoQiang Xie

In particular, the hierarchical structure of ontology has not been sufficiently utilized in clustering genes while functionally related genes are consistently associated with phenotypes on the same path in the phenotype ontology.

Clustering

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