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Davide Abati
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2020 – today
- 2024
- [c13]Kumara Kahatapitiya, Adil Karjauv, Davide Abati, Fatih Porikli, Yuki M. Asano, Amirhossein Habibian:
Object-Centric Diffusion for Efficient Video Editing. ECCV (57) 2024: 91-108 - [i12]Kumara Kahatapitiya, Adil Karjauv, Davide Abati, Fatih Porikli, Yuki M. Asano, Amirhossein Habibian:
Object-Centric Diffusion for Efficient Video Editing. CoRR abs/2401.05735 (2024) - [i11]Jooyeol Yun, Davide Abati, Mohamed Omran, Jaegul Choo, Amirhossein Habibian, Auke Wiggers:
Generative Location Modeling for Spatially Aware Object Insertion. CoRR abs/2410.13564 (2024) - 2023
- [c12]Davide Abati, Haitam Ben Yahia, Markus Nagel, Amirhossein Habibian:
ResQ: Residual Quantization for Video Perception. ICCV 2023: 17073-17083 - [i10]Davide Abati, Haitam Ben Yahia, Markus Nagel, Amirhossein Habibian:
ResQ: Residual Quantization for Video Perception. CoRR abs/2308.09511 (2023) - 2022
- [c11]Yura Perugachi-Diaz, Guillaume Sautière, Davide Abati, Yang Yang, Amirhossein Habibian, Taco S. Cohen:
Region-of-Interest Based Neural Video Compression. BMVC 2022: 288 - [c10]Amirhossein Habibian, Haitam Ben Yahia, Davide Abati, Efstratios Gavves, Fatih Porikli:
Delta Distillation for Efficient Video Processing. ECCV (35) 2022: 213-229 - [i9]Yura Perugachi-Diaz, Guillaume Sautière, Davide Abati, Yang Yang, Amirhossein Habibian, Taco S. Cohen:
Region-of-Interest Based Neural Video Compression. CoRR abs/2203.01978 (2022) - [i8]Amirhossein Habibian, Haitam Ben Yahia, Davide Abati, Efstratios Gavves, Fatih Porikli:
Delta Distillation for Efficient Video Processing. CoRR abs/2203.09594 (2022) - 2021
- [c9]Davide Abati, Amir Ghodrati, Amirhossein Habibian:
Efficient Video Super Resolution by Gated Local Self Attention. BMVC 2021: 83 - [c8]Amirhossein Habibian, Davide Abati, Taco S. Cohen, Babak Ehteshami Bejnordi:
Skip-Convolutions for Efficient Video Processing. CVPR 2021: 2695-2704 - [i7]Amirhossein Habibian, Davide Abati, Taco S. Cohen, Babak Ehteshami Bejnordi:
Skip-Convolutions for Efficient Video Processing. CoRR abs/2104.11487 (2021) - 2020
- [c7]Davide Abati, Jakub Tomczak, Tijmen Blankevoort, Simone Calderara, Rita Cucchiara, Babak Ehteshami Bejnordi:
Conditional Channel Gated Networks for Task-Aware Continual Learning. CVPR 2020: 3930-3939 - [c6]Pietro Buzzega, Matteo Boschini, Angelo Porrello, Davide Abati, Simone Calderara:
Dark Experience for General Continual Learning: a Strong, Simple Baseline. NeurIPS 2020 - [i6]Davide Abati, Jakub Tomczak, Tijmen Blankevoort, Simone Calderara, Rita Cucchiara, Babak Ehteshami Bejnordi:
Conditional Channel Gated Networks for Task-Aware Continual Learning. CoRR abs/2004.00070 (2020) - [i5]Pietro Buzzega, Matteo Boschini, Angelo Porrello, Davide Abati, Simone Calderara:
Dark Experience for General Continual Learning: a Strong, Simple Baseline. CoRR abs/2004.07211 (2020)
2010 – 2019
- 2019
- [j4]Andrea Palazzi, Davide Abati, Simone Calderara, Francesco Solera, Rita Cucchiara:
Predicting the Driver's Focus of Attention: The DR(eye)VE Project. IEEE Trans. Pattern Anal. Mach. Intell. 41(7): 1720-1733 (2019) - [j3]Stefano Alletto, Davide Abati, Simone Calderara, Rita Cucchiara, Luca Rigazio:
Self-Supervised Optical Flow Estimation by Projective Bootstrap. IEEE Trans. Intell. Transp. Syst. 20(9): 3294-3302 (2019) - [c5]Angelo Porrello, Davide Abati, Simone Calderara, Rita Cucchiara:
Classifying Signals on Irregular Domains via Convolutional Cluster Pooling. AISTATS 2019: 1388-1397 - [c4]Davide Abati, Angelo Porrello, Simone Calderara, Rita Cucchiara:
Latent Space Autoregression for Novelty Detection. CVPR 2019: 481-490 - [i4]Angelo Porrello, Davide Abati, Simone Calderara, Rita Cucchiara:
Classifying Signals on Irregular Domains via Convolutional Cluster Pooling. CoRR abs/1902.04850 (2019) - 2018
- [j2]Marcella Cornia, Davide Abati, Lorenzo Baraldi, Andrea Palazzi, Simone Calderara, Rita Cucchiara:
Attentive models in vision: Computing saliency maps in the deep learning era. Intelligenza Artificiale 12(2): 161-175 (2018) - [i3]Davide Abati, Angelo Porrello, Simone Calderara, Rita Cucchiara:
AND: Autoregressive Novelty Detectors. CoRR abs/1807.01653 (2018) - 2017
- [c3]Marcella Cornia, Davide Abati, Lorenzo Baraldi, Andrea Palazzi, Simone Calderara, Rita Cucchiara:
Attentive Models in Vision: Computing Saliency Maps in the Deep Learning Era. AI*IA 2017: 387-399 - [c2]Andrea Palazzi, Guido Borghi, Davide Abati, Simone Calderara, Rita Cucchiara:
Learning to Map Vehicles into Bird's Eye View. ICIAP (1) 2017: 233-243 - [i2]Andrea Palazzi, Davide Abati, Simone Calderara, Francesco Solera, Rita Cucchiara:
Predicting the Driver's Focus of Attention: the DR(eye)VE Project. CoRR abs/1705.03854 (2017) - [i1]Andrea Palazzi, Guido Borghi, Davide Abati, Simone Calderara, Rita Cucchiara:
Learning to Map Vehicles into Bird's Eye View. CoRR abs/1706.08442 (2017) - 2016
- [j1]Stefano Alletto, Davide Abati, Giuseppe Serra, Rita Cucchiara:
Exploring Architectural Details Through a Wearable Egocentric Vision Device. Sensors 16(2): 237 (2016) - 2015
- [c1]Stefano Alletto, Davide Abati, Giuseppe Serra, Rita Cucchiara:
Wearable vision for retrieving architectural details in augmented tourist experiences. INTETAIN 2015: 134-139
Coauthor Index
aka: Amirhossein Habibian
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last updated on 2024-11-25 22:48 CET by the dblp team
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