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ORCID33rd ICANN 2024: Lugano, Switzerland - Part II
- Michael Wand
, Kristína Malinovská, Jürgen Schmidhuber, Igor V. Tetko:
Artificial Neural Networks and Machine Learning - ICANN 2024 - 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, September 17-20, 2024, Proceedings, Part II. Lecture Notes in Computer Science 15017, Springer 2024, ISBN 978-3-031-72334-6
Computer Vision: Classification
- Yang Liu, Le Jiang, Guoming Li, Xiaozhou Ye, Ye Ouyang:
A Weakly Supervised Part Detection Method for Robust Fine-Grained Classification. 3-16 - Xingzhong Zhang, Joon Huang Chuah, Chu Kiong Loo, Stefan Wermter:
An Energy Sampling Replay-Based Continual Learning Framework. 17-30 - Wei Lin, Hao Zheng, Zhigang Hu, Meiguang Zheng, Liu Yang:
Coarse-to-Fine Granularity in MultiScale FeatureFusion Network for SAR Ship Classification. 31-45 - Xiaopei Hu, Guixin Zhao, Lu Yuan, Xiangjun Dong, Aimei Dong:
Multi-scale Convolutional Attention Fuzzy Broad Network for Few-Shot Hyperspectral Image Classification. 46-60 - Xuerong Zhang, Li Huang, Jing Lv, Ming Yang:
Self Adaptive Threshold Pseudo-labeling and Unreliable Sample Contrastive Loss for Semi-supervised Image Classification. 61-75
Computer Vision: Object Detection
- Xiaomei Kuang, Aiqing Zhu, Junbin Yuan, Qingzhen Xu:
CIA-Net: Cross-Modal Interaction and Depth Quality-Aware Network for RGB-D Salient Object Detection. 79-92 - Jihao Wu, Shufang Li, Guxia Kang, Yuqing Yang:
CPH DETR: Comprehensive Regression Loss for End-to-End Object Detection. 93-107 - Zixuan Yin, Han Sun, Ningzhong Liu, Huiyu Zhou, Jiaquan Shen:
DecoratingFusion: A LiDAR-Camera Fusion Network with the Combination of Point-Level and Feature-Level Fusion. 108-119 - Pengyu Li, Chenhe Liu, Tengfei Li, Xinyu Wang, Shihui Zhang, Dongyang Yu:
EMDFNet: Efficient Multi-scale and Diverse Feature Network for Traffic Sign Detection. 120-136 - Jizhe Yu, Yu Liu, Hongkui Wei, Kaiping Xu, Yifei Cao, Jiangquan Li:
Global-Guided Weighted Enhancement for Salient Object Detection. 137-152 - Mengyuan Ma, Lin Qian, Hujun Yin:
KDNet: Leveraging Vision-Language Knowledge Distillation for Few-Shot Object Detection. 153-167 - Xiangyuan Peng, Miao Tang, Huawei Sun, Kay Bierzynski, Lorenzo Servadei, Robert Wille:
MUFASA: Multi-view Fusion and Adaptation Network with Spatial Awareness for Radar Object Detection. 168-184 - Qiwei Lin, Xinzhi Lin, Junjie Zhou, Qinghua Long:
One-Shot Object Detection with 4D-Correlation and 4D-Attention. 185-199 - Lingyu Wang, Zijie Zhou, Guanqun Shi, Junkang Guo, Zhigang Liu:
Small Object Detection Based on Bidirectional Feature Fusion and Multi-scale Distillation. 200-214 - Junhao Huang, Jian Xue, Yuqiu Li, Hao Wu, Ke Lu:
SRA-YOLO: Spatial Resolution Adaptive YOLO for Semi-supervised Cross-Domain Aerial Object Detection. 215-228
Computer Vision: Security and Adversarial Attacks
- Lei Zhang, Ceyuan Yi, Liang Liu:
BiFAT: Bilateral Filtering and Attention Mechanisms in a Two-Stream Model for Deepfake Detection. 231-247 - Bin Wang, Feifan Wang, Jingge Wang, Haonan Yan, Shaopeng Zhou, Chaohao Li:
EL-FDL: Improving Image Forgery Detection and Localization via Ensemble Learning. 248-262 - Huaqing Song:
Enhanced Image Manipulation Detection with TPB-Net: Integrating Triple-Path Backbone and Dual-Path Compressed Sensing Attention. 263-274 - Zhihan Yu, JiaXin Li, Guangshuo Wang, Yuesheng Zhu, Guibo Luo:
Generalizable Deepfake Detection with Unbiased Feature Extraction and Low-Level Forgery Enhancement. 275-288 - Yuchen Guo, Xi Wang, Xiaomeng Fu, Jin Liu, Zhaoxing Li, Jizhong Han:
Generative Universal Nullifying Perturbation for Countering Deepfakes Through Combined Unsupervised Feature Aggregation. 289-303 - Chengeng Liu, Xu Chen, Tian Xu, Xiangyang Jia:
HFDA-Net: Utilizing High-Frequency Feature and Dual-Attention to Enhance Image Manipulation Detection and Localization. 304-319 - Qinglong Huang, Haoran Li, Yong Liao, Yanbin Hao, Pengyuan Zhou:
Noise-NeRF: Hide Information in Neural Radiance Field Using Trainable Noise. 320-334 - Ruoxi Wang, Baojin Huang, Zhen Han, Dengshi Li:
Unconventional Face Adversarial Attack. 335-347
Computer Vision: Image Enhancement
- Brian B. Moser, Federico Raue, Andreas Dengel:
A Study in Dataset Pruning for Image Super-Resolution. 351-363 - Jin Zhang, Haiyan Jin, Haonan Su, Yuanlin Zhang, Zhaolin Xiao, Bin Wang:
EDAFormer: Enhancing Low-Light Images with a Dual-Attention Transformer. 364-378 - Xinshuang Liu, Yue Zhao:
Image Matting Based on Deep Equilibrium Models. 379-391
Computer Vision: 3D Methods
- Jiahui Chen, Chuanfeng Yang, Kaiheng Li, Qingqiang Wu, Qingqi Hong:
ControlNeRF: Text-Driven 3D Scene Stylization via Diffusion Model. 395-406 - Haolei Qiu, Chenqu Ren, Yeheng Shao:
Interactive Color Manipulation in NeRF: A Point Cloud and Palette-Driven Approach. 407-418 - Baihui Xiao, Jingzehua Xu, Zekai Zhang, Tianyu Xing, Jingjing Wang, Yong Ren:
Multimodal Monocular Dense Depth Estimation with Event-Frame Fusion Using Transformer. 419-433 - Xi Wang, Linglin Xie, Peng Qiao, Yong Dou, Sidun Liu, Wenyu Li, Kaijun Yang:
SAM-NeRF: NeRF-Based 3D Instance Segmentation with Segment Anything Model. 434-448 - Jinhong Hong, Songwei Pei, Shuhuai Wang:
Towards High-Accuracy Point Cloud Registration with Channel Self-attention and Angle Invariance. 449-462
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