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Publication search results
found 43 matches
- 2024
- Jiajia Lu, Wun-She Yap, Kok-Chin Khor:
PointADAM: Unsupervised Adversarial Domain Adaptation on Point Clouds With Metric Learning via Compact Feature Representation. IEEE Access 12: 77486-77500 (2024) - Yaohua Zha, Huizhen Ji, Jinmin Li, Rongsheng Li, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia:
Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders. AAAI 2024: 6962-6970 - 2023
- Aoxiang Fan, Xingyu Jiang, Yong Ma, Xiaoguang Mei, Jiayi Ma:
Smoothness-Driven Consensus Based on Compact Representation for Robust Feature Matching. IEEE Trans. Neural Networks Learn. Syst. 34(8): 4460-4472 (2023) - Xin Li, Xiangrui Li, Deng Pan, Yao Qiang, Dongxiao Zhu:
Learning Compact Features via In-Training Representation Alignment. AAAI 2023: 8675-8683 - Yaohua Zha, Huizhen Ji, Jinmin Li, Rongsheng Li, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia:
Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders. CoRR abs/2312.10726 (2023) - 2022
- Azam Asilian Bidgoli, Shahryar Rahnamayan, Taher Dehkharghanian, Abtin Riasatian, Shivam Kalra, Manit Zaveri, Clinton J. V. Campbell, Anil Parwani, Liron Pantanowitz, Hamid R. Tizhoosh:
Evolutionary deep feature selection for compact representation of gigapixel images in digital pathology. Artif. Intell. Medicine 132: 102368 (2022) - Yuanhong Zhong, Xia Chen, Jinyang Jiang, Fan Ren:
Reverse erasure guided spatio-temporal autoencoder with compact feature representation for video anomaly detection. Sci. China Inf. Sci. 65(9): 1-3 (2022) - Jiaojiao Su, Qiwu Luo, Chunhua Yang:
Compact and Efficient Feature Representation for Defect in hot rolled strip steel: A postion paper. ASCC 2022: 688-690 - Bolin Chen, Zhao Wang, Binzhe Li, Rongqun Lin, Shiqi Wang, Yan Ye:
Beyond Keypoint Coding: Temporal Evolution Inference with Compact Feature Representation for Talking Face Video Compression. DCC 2022: 13-22 - Sudipan Saha, Jakob Gawlikowski, Jay Nandy, Xiao Xiang Zhu:
Compact Feature Representation for Unsupervised Ood Detection. IGARSS 2022: 3143-3146 - Xin Li, Xiangrui Li, Deng Pan, Yao Qiang, Dongxiao Zhu:
Learning Compact Features via In-Training Representation Alignment. CoRR abs/2211.13332 (2022) - 2021
- Muhammad A. Shah, Raphaël Olivier, Bhiksha Raj:
Towards Adversarial Robustness Via Compact Feature Representations. ICASSP 2021: 3845-3849 - Shurun Wang, Shiqi Wang, Wenhan Yang, Xinfeng Zhang, Shanshe Wang, Siwei Ma:
Teacher-Student Learning With Multi-Granularity Constraint Towards Compact Facial Feature Representation. ICASSP 2021: 8503-8507 - Shady Salama, Toshiya Kaihara, Nobutada Fujii, Daisuke Kokuryo:
A New Representation and Adaptive Feature Selection for Evolving Compact Dispatching Rules for Dynamic Job Shop Scheduling with Genetic Programming. APMS (3) 2021: 646-654 - 2020
- Roopak Surendran, Tony Thomas, Sabu Emmanuel:
GSDroid: Graph Signal Based Compact Feature Representation for Android Malware Detection. Expert Syst. Appl. 159: 113581 (2020) - Muhammad Ahmed Shah, Bhiksha Raj:
Deriving Compact Feature Representations Via Annealed Contraction. ICASSP 2020: 2068-2072 - 2019
- Shaoyong Li, Chang Tang, Xinwang Liu, Yaping Liu, Jiajia Chen:
Dual graph regularized compact feature representation for unsupervised feature selection. Neurocomputing 331: 77-96 (2019) - Li Liu, Matti Pietikäinen, Jie Chen, Guoying Zhao, Xiaogang Wang, Rama Chellappa:
Guest Editors' Introduction to the Special Section on Compact and Efficient Feature Representation and Learning in Computer Vision. IEEE Trans. Pattern Anal. Mach. Intell. 41(10): 2287-2290 (2019) - Jinliang An, Yuzhen Song, Yuwei Guo, Xiaoxiao Ma, Xiangrong Zhang:
Tensor Discriminant Analysis via Compact Feature Representation for Hyperspectral Images Dimensionality Reduction. Remote. Sens. 11(15): 1822 (2019) - Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan, Huu Le, Tam V. Nguyen, Ngai-Man Cheung:
From Selective Deep Convolutional Features to Compact Binary Representations for Image Retrieval. ACM Trans. Multim. Comput. Commun. Appl. 15(2): 43:1-43:22 (2019) - Agata Gielczyk, Gian Luca Marcialis, Michal Choras:
Binary Code for the Compact Palmprint Representation Using Texture Features. CAIP (2) 2019: 132-142 - Mohamed Alimoussa, Nicolas Vandenbroucke, Alice Porebski, Rachid Oulad Haj Thami, Sanaa El Fkihi, Denis Hamad:
Compact Color Texture Representation by Feature Selection in Multiple Color Spaces. VISIGRAPP (4: VISAPP) 2019: 436-443 - Chenglong Li, Yan Huang, Liang Wang, Jin Tang, Liang Lin:
Learning Compact Target-Oriented Feature Representations for Visual Tracking. CoRR abs/1908.01442 (2019) - 2018
- Jacek Komorowski, Tomasz Trzcinski:
Aggregation of Binary Feature Descriptors for Compact Scene Model Representation in Large Scale Structure-from-Motion Applications. ICCVG 2018: 363-374 - Cong Bai, Jian Chen, Qing Ma, Zhi Liu, Shengyong Chen:
Deep Residual Net Based Compact Feature Representation for Image Retrieval. PCM (2) 2018: 737-747 - Thanh-Toan Do, Tuan Hoang, Dang-Khoa Le Tan, Ngai-Man Cheung:
From Selective Deep Convolutional Features to Compact Binary Representations for Image Retrieval. CoRR abs/1802.02899 (2018) - Jacek Komorowski, Tomasz Trzcinski:
Aggregation of binary feature descriptors for compact scene model representation in large scale structure-from-motion applications. CoRR abs/1809.11062 (2018) - 2017
- Konrad Jackowski, Boguslaw Cyganek:
A learning-based colour image segmentation with extended and compact structural tensor feature representation. Pattern Anal. Appl. 20(2): 401-414 (2017) - Chang Chen, Xinmei Tian, Feng Wu, Zhiwei Xiong:
UDNet: Up-Down Network for Compact and Efficient Feature Representation in Image Super-Resolution. ICCV Workshops 2017: 1069-1076 - Audrey G. Chung, Mohammad Javad Shafiee, Paul W. Fieguth, Alexander Wong:
The Mating Rituals of Deep Neural Networks: Learning Compact Feature Representations Through Sexual Evolutionary Synthesis. ICCV Workshops 2017: 1220-1227
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