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Hichem Sahbi
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Publications
- 2024
- [j16]Ahmed Mazari, Hichem Sahbi:
Deep multiple aggregation networks for action recognition. Int. J. Multim. Inf. Retr. 13(1): 9 (2024) - 2021
- [c88]Hichem Sahbi, Haoming Zhan:
FFNB: Forgetting-Free Neural Blocks for Deep Continual Learning. BMVC 2021: 204 - [i18]Hichem Sahbi, Haoming Zhan:
FFNB: Forgetting-Free Neural Blocks for Deep Continual Visual Learning. CoRR abs/2111.11366 (2021) - 2020
- [c82]Ahmed Mazari, Hichem Sahbi:
Coarse-to-Fine Aggregation for Cross-Granularity Action Recognition. ICIP 2020: 1541-1545 - [i16]Ahmed Mazari, Hichem Sahbi:
Deep hierarchical pooling design for cross-granularity action recognition. CoRR abs/2006.04473 (2020) - [i15]Ahmed Mazari, Hichem Sahbi:
Action Recognition with Deep Multiple Aggregation Networks. CoRR abs/2006.04489 (2020) - 2019
- [j13]Anjan Dutta, Hichem Sahbi:
Stochastic Graphlet Embedding. IEEE Trans. Neural Networks Learn. Syst. 30(8): 2369-2382 (2019) - [c78]Ahmed Mazari, Hichem Sahbi:
MLGCN: Multi-Laplacian Graph Convolutional Networks for Human Action Recognition. BMVC 2019: 281 - [c76]Ahmed Mazari, Hichem Sahbi:
Deep Temporal Pyramid Design for Action Recognition. ICASSP 2019: 2077-2081 - [i11]Ahmed Mazari, Hichem Sahbi:
Human Action Recognition with Deep Temporal Pyramids. CoRR abs/1905.00745 (2019) - [i10]Ahmed Mazari, Hichem Sahbi:
Human Action Recognition with Multi-Laplacian Graph Convolutional Networks. CoRR abs/1910.06934 (2019) - 2018
- [c69]Quentin Oliveau, Hichem Sahbi:
From Transductive to Inductive Semi-Supervised Attributes for Ship Category Recognition. IGARSS 2018: 4827-4830 - [c68]Quentin Oliveau, Hichem Sahbi:
Semi-Supervised Deep Attribute Networks for Fine-Grained Ship Category Recognition. IGARSS 2018: 6871-6874 - [i7]Anjan Dutta, Hichem Sahbi:
Graph Kernels based on High Order Graphlet Parsing and Hashing. CoRR abs/1803.00425 (2018) - 2017
- [j10]Quentin Oliveau, Hichem Sahbi:
Learning Attribute Representations for Remote Sensing Ship Category Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(6): 2830-2840 (2017) - [c66]Quentin Oliveau, Hichem Sahbi:
Transductive attributes for ship category recognition. IGARSS 2017: 894-897 - [i1]Anjan Dutta, Hichem Sahbi:
High Order Stochastic Graphlet Embedding for Graph-Based Pattern Recognition. CoRR abs/1702.00156 (2017) - 2016
- [c62]Quentin Oliveau, Hichem Sahbi:
Semantic-free attributes for image classification. ICPR 2016: 1577-1582 - [c60]Quentin Oliveau, Hichem Sahbi:
Attribute learning for ship category recognition in remote sensing imagery. IGARSS 2016: 96-99 - 2015
- [c59]Anjan Dutta, Hichem Sahbi:
High order graphlets for pattern classification. ACPR 2015: 206-210 - [c55]Phong D. Vo, Hichem Sahbi:
Contextual kernel map learning for scene transduction. ICIP 2015: 3797-3801 - 2014
- [c53]Ling Wang, Hichem Sahbi:
Nonlinear Cross-View Sample Enrichment for Action Recognition. ECCV Workshops (3) 2014: 47-62 - [c52]Aymen El Ghoul, Hichem Sahbi:
Semi-supervised learning using a graph-based phase field model for imbalanced data set classification. ICASSP 2014: 2942-2946 - [c50]Ling Wang, Hichem Sahbi:
Bags-of-daglets for action recognition. ICIP 2014: 1550-1554 - [c49]Phong D. Vo, Hichem Sahbi:
Modeling label dependencies in kernel learning for image annotation. ICIP 2014: 5886-5890 - 2013
- [c44]Ling Wang, Hichem Sahbi:
Directed Acyclic Graph Kernels for Action Recognition. ICCV 2013: 3168-3175 - [c42]Phong D. Vo, Hichem Sahbi:
Semantic subspace learning for mental search in satellite images. IGARSS 2013: 1123-1126 - [c40]Phong D. Vo, Hichem Sahbi:
Spacious: an interactive mental search interface. SIGIR 2013: 1081-1082 - 2012
- [c39]Dinh-Phong Vo, Hichem Sahbi:
Transductive Kernel Map Learning and Its Application Image Annotation. BMVC 2012: 1-12 - [c38]Dinh-Phong Vo, Hichem Sahbi:
Transductive inference & kernel design for object class segmentation. ICIP 2012: 2173-2176
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last updated on 2024-04-21 17:27 CEST by the dblp team
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