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ORCIDPasquale Coscia
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2020 – today
- 2024
[j5]Zilu Ying
, Tingfeng Xian, Yikui Zhai, Xudong Jia, Hongsheng Zhang, Jiahao Pan, Pasquale Coscia, Angelo Genovese, Vincenzo Piuri, Fabio Scotti:
DS-HyFA-Net: A Deeply Supervised Hybrid Feature Aggregation Network With Multiencoders for Change Detection in High-Resolution Imagery. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024)- [j4]Yikui Zhai, Jiahao Pan, Hongsheng Zhang, Tingfeng Xian, Ying Xu, Pasquale Coscia, Angelo Genovese, Vincenzo Piuri, Fabio Scotti, C. L. Philip Chen:
Efficient Adjacent Feature Harmonizer Network With UAV-CD+ Dataset for Remote Sensing Change Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-18 (2024) - 2023
- [c12]Pasquale Coscia, Angelo Genovese, Vincenzo Piuri, Francesco Rundo, Fabio Scotti:
Tree-based Optimization for Image-to-Image Translation with Imbalanced Datasets on the Edge. CIVEMSA 2023: 1-6 - [c11]Pasquale Coscia, Angelo Genovese, Fabio Scotti, Vincenzo Piuri:
Applications and Limits of Image-to-Image Translation Models. DSP 2023: 1-5 - [c10]Pasquale Coscia, Angelo Genovese, Fabio Scotti, Vincenzo Piuri:
Adversarial Defect Synthesis for Industrial Products in Low Data Regime. ICIP 2023: 1360-1364 - 2022
- [c9]Luigi Filippo Chiara, Pasquale Coscia, Sourav Das, Simone Calderara, Rita Cucchiara, Lamberto Ballan:
Goal-driven Self-Attentive Recurrent Networks for Trajectory Prediction. CVPR Workshops 2022: 2517-2526 - [c8]Alessio Monti, Angelo Porrello, Simone Calderara, Pasquale Coscia, Lamberto Ballan, Rita Cucchiara:
How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting. CVPR 2022: 6543-6552 - [c7]Nada Osman, Enrico Cancelli, Guglielmo Camporese, Pasquale Coscia, Lamberto Ballan:
Early Pedestrian Intent Prediction via Features Estimation. ICIP 2022: 3446-3450 - [i8]Alessio Monti, Angelo Porrello, Simone Calderara, Pasquale Coscia, Lamberto Ballan, Rita Cucchiara:
How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting. CoRR abs/2203.04781 (2022) - [i7]Luigi Filippo Chiara, Pasquale Coscia, Sourav Das, Simone Calderara, Rita Cucchiara, Lamberto Ballan:
Goal-driven Self-Attentive Recurrent Networks for Trajectory Prediction. CoRR abs/2204.11561 (2022) - 2021
- [j3]Alessia Bertugli, Simone Calderara, Pasquale Coscia, Lamberto Ballan, Rita Cucchiara:
AC-VRNN: Attentive Conditional-VRNN for multi-future trajectory prediction. Comput. Vis. Image Underst. 210: 103245 (2021) - [c6]Nada Osman, Guglielmo Camporese, Pasquale Coscia, Lamberto Ballan:
SlowFast Rolling-Unrolling LSTMs for Action Anticipation in Egocentric Videos. ICCVW 2021: 3430-3438 - [i6]Nada Osman, Guglielmo Camporese, Pasquale Coscia, Lamberto Ballan:
SlowFast Rolling-Unrolling LSTMs for Action Anticipation in Egocentric Videos. CoRR abs/2109.00829 (2021) - 2020
- [c5]Tobia Tesan, Pasquale Coscia, Lamberto Ballan:
A CNN-RNN Framework for Image Annotation from Visual Cues and Social Network Metadata. ICPR 2020: 231-238 - [c4]Guglielmo Camporese, Pasquale Coscia, Antonino Furnari, Giovanni Maria Farinella, Lamberto Ballan:
Knowledge Distillation for Action Anticipation via Label Smoothing. ICPR 2020: 3312-3319 - [p2]Pasquale Coscia, Lamberto Ballan, Francesco A. N. Palmieri, Alexandre Alahi, Silvio Savarese:
Linear Artificial Forces for Human Dynamics in Complex Contexts. Neural Approaches to Dynamics of Signal Exchanges 2020: 21-33 - [i5]Guglielmo Camporese, Pasquale Coscia, Antonino Furnari, Giovanni Maria Farinella, Lamberto Ballan:
Knowledge Distillation for Action Anticipation via Label Smoothing. CoRR abs/2004.07711 (2020) - [i4]Alessia Bertugli, Simone Calderara, Pasquale Coscia, Lamberto Ballan, Rita Cucchiara:
AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction. CoRR abs/2005.08307 (2020)
2010 – 2019
- 2019
- [c3]Matteo Lisotto, Pasquale Coscia, Lamberto Ballan:
Social and Scene-Aware Trajectory Prediction in Crowded Spaces. ICCV Workshops 2019: 2567-2574 - [i3]Matteo Lisotto, Pasquale Coscia, Lamberto Ballan:
Social and Scene-Aware Trajectory Prediction in Crowded Spaces. CoRR abs/1909.08840 (2019) - [i2]Tobia Tesan, Pasquale Coscia, Lamberto Ballan:
A CNN-RNN Framework for Image Annotation from Visual Cues and Social Network Metadata. CoRR abs/1910.05770 (2019) - 2018
- [j2]Pasquale Coscia, Francesco Castaldo, Francesco A. N. Palmieri, Alexandre Alahi, Silvio Savarese, Lamberto Ballan:
Long-term path prediction in urban scenarios using circular distributions. Image Vis. Comput. 69: 81-91 (2018) - [j1]Pasquale Coscia, Paolo Braca, Leonardo Maria Millefiori, Francesco A. N. Palmieri, Peter Willett:
Multiple Ornstein-Uhlenbeck Processes for Maritime Traffic Graph Representation. IEEE Trans. Aerosp. Electron. Syst. 54(5): 2158-2170 (2018) - [c2]Pasquale Coscia, Francesco A. N. Palmieri, Paolo Braca, Leonardo Maria Millefiori, Peter Willett:
Unsupervised Maritime Traffic Graph Learning with Mean-Reverting Stochastic Processes. FUSION 2018: 1822-1828 - 2016
- [c1]Pasquale Coscia, Francesco Castaldo, Francesco A. N. Palmieri, Lamberto Ballan, Alexandre Alahi, Silvio Savarese:
Point-based path prediction from polar histograms. FUSION 2016: 1961-1967 - [p1]Pasquale Coscia, Francesco A. N. Palmieri, Francesco Castaldo, Alberto Cavallo:
3-D Hand Pose Estimation from Kinect's Point Cloud Using Appearance Matching. Advances in Neural Networks 2016: 37-45 - [i1]Pasquale Coscia, Francesco A. N. Palmieri, Francesco Castaldo, Alberto Cavallo:
3-D Hand Pose Estimation from Kinect's Point Cloud Using Appearance Matching. CoRR abs/1604.02032 (2016)
Coauthor Index
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