Pasquale Coscia

46 papers A* 1B 5C 3Journal 30Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bidirectional Interactive Multi-Scale Aggregation Network for Vehicle Detection in Urban Traffic. IEEE Trans. Intell. Transp. Syst. Chaojun Dong, Wenkang Qiu, Ye Li, Yikui Zhai, Xiankun Liu, Chaoyun Mai, Hufei Zhu, Jianhong Zhou, Pasquale Coscia, Angelo Genovese, C. L. Philip Chen
2026	J	`jnl`	Diffusion-augmented direct classification: A few-shot learning framework for Synthetic Aperture Radar image automatic target recognition. Eng. Appl. Artif. Intell. Zilu Ying, Wenyu Ke, Yikui Zhai, Xinglin Liu, Jianhong Zhou, Pasquale Coscia, Angelo Genovese
2026	J	`jnl`	Editorial: Deep learning for industrial applications. Frontiers Comput. Sci. Pasquale Coscia, Konstantinos N. Plataniotis, Bijaya K. Panigrahi, Yikui Zhai
2026	J	`jnl`	On the relevance of patch-based extraction methods for monocular depth estimation. Image Vis. Comput. Pasquale Coscia, Antonio Fusillo, Angelo Genovese, Vincenzo Piuri, Fabio Scotti
2026	J	`jnl`	Useg-PanoDepth:Unified $360^{\circ }$ Depth Estimation for Indoor and Outdoor Scenes With Semantic Assistance. IEEE Trans. Multim. Qingling Chang, Jingheng Xu, Yan Cui, Yikui Zhai, Pasquale Coscia, Angelo Genovese, Vincenzo Piuri, Fabio Scotti
2025	J	`jnl`	AEGL-Net: Adaptive Multiscale Global-Local Feature Fusion Network for Remote Sensing Change Detection. IEEE Trans. Geosci. Remote. Sens. Zilu Ying, Yijun Zhou, Yikui Zhai, Hufei Zhu, Hongsheng Zhang, Pasquale Coscia, Angelo Genovese, Fabio Scotti, Vincenzo Piuri, C. L. Philip Chen
2025	J	`jnl`	Bidirectional Feature Pyramid Siamese Anomaly Detection Network With Cellular Anomaly Generation for Container Marking. IEEE Trans. Instrum. Meas. Yikui Zhai, Wenfeng Pan, Yanyang Liang, Hufei Zhu, Zhihao Long, Pasquale Coscia, Angelo Genovese, Vincenzo Piuri, Fabio Scotti
2025	J	`jnl`	CLIP-Vision Guided Few-Shot Metal Surface Defect Recognition. IEEE Trans. Ind. Informatics Tianlei Wang, Zeliang Li, Ying Xu, Yikui Zhai, Xiaofen Xing, Kailing Guo, Pasquale Coscia, Angelo Genovese, Vincenzo Piuri, Fabio Scotti
2025	J	`jnl`	DS IEEE Trans. Instrum. Meas. Hufei Zhu, Jie You, Yikui Zhai, Ying Xu, Tianlei Wang, Yingwen Chen, Jianhong Zhou, Pasquale Coscia, Angelo Genovese, C. L. Philip Chen
2025	J	`jnl`	Dimension Decoupling Vision-Language Transformer for industrial container marking and natural scene text spotting. J. Ind. Inf. Integr. Zhangzhao Liang, Ying Xu, Yikui Zhai, Hufei Zhu, Jiangtao Xi, Pasquale Coscia, Angelo Genovese
2025	J	`jnl`	Distributed Anomaly Detection With Attention-Guided Diffusion Models and Client-Side Defect Generation. IEEE Syst. J. Pasquale Coscia, Angelo Genovese, Vincenzo Piuri, Konstantinos N. Plataniotis, Fabio Scotti
2025	J	`jnl`	FELACS: Federated learning with adaptive client selection for IoT DDoS attack detection. Comput. Secur. Mulualem Bitew Anley, Pasquale Coscia, Angelo Genovese, Vincenzo Piuri
2025	J	`jnl`	GMTNet: Dense Object Detection via Global Dynamically Matching Transformer Network. IEEE Trans. Circuits Syst. Video Technol. Chaojun Dong, Chengxuan Wang, Yikui Zhai, Ye Li, Jianhong Zhou, Pasquale Coscia, Angelo Genovese, Vincenzo Piuri, Fabio Scotti
2025	J	`jnl`	Hyperbolic Deep Learning System for Intelligent Gate-Driving and Health Monitoring of Silicon-Carbide Power MOSFETs. IEEE Open J. Comput. Soc. Francesco Rundo, Angelo Alberto Messina, Michele Fiore, Michele Calabretta, Pasquale Coscia, Sebastiano Battiato
2025	J	`jnl`	OneN: Guided attention for natively-explainable anomaly detection. Image Vis. Comput. Pasquale Coscia, Angelo Genovese, Vincenzo Piuri, Fabio Scotti
2025	J	`jnl`	PBSD-Net: Prismatic Battery Surface Defect Detection via Sliding Slice Amplification and Shunted Dynamic Snake Convolution. IEEE Trans Autom. Sci. Eng. Ying Xu, Bo Li, Yikui Zhai, Feng Ke, Jianhong Zhou, Pasquale Coscia, Angelo Genovese, Vincenzo Piuri, Fabio Scotti
2025	J	`jnl`	Spatial Reconstruction and Joint Training in Transformer Network for Cross-Domain Remote Sensing Images Semantic Segmentation. IEEE Trans. Geosci. Remote. Sens. Junying Zeng, Senyao Deng, Yikui Zhai, Xudong Jia, Chuanbo Qin, Pasquale Coscia, Angelo Genovese, Vincenzo Piuri, Fabio Scotti
2025	C	`conf`	Synthetic and (Un)Secure: Evaluating Generalized Membership Inference Attacks on Image Data. SECRYPT Pasquale Coscia, Stefano Ferrari, Vincenzo Piuri, Ayse Salman
2024	J	`jnl`	DS-HyFA-Net: A Deeply Supervised Hybrid Feature Aggregation Network With Multiencoders for Change Detection in High-Resolution Imagery. IEEE Trans. Geosci. Remote. Sens. Zilu Ying, Tingfeng Xian, Yikui Zhai, Xudong Jia, Hongsheng Zhang, Jiahao Pan, Pasquale Coscia, Angelo Genovese, Vincenzo Piuri, Fabio Scotti
2024	J	`jnl`	Efficient Adjacent Feature Harmonizer Network With UAV-CD+ Dataset for Remote Sensing Change Detection. IEEE Trans. Geosci. Remote. Sens. Yikui Zhai, Jiahao Pan, Hongsheng Zhang, Tingfeng Xian, Ying Xu, Pasquale Coscia, Angelo Genovese, Vincenzo Piuri, Fabio Scotti, C. L. Philip Chen
2024	B	`conf`	Features Disentanglement For Explainable Convolutional Neural Networks. ICIP Pasquale Coscia, Angelo Genovese, Fabio Scotti, Vincenzo Piuri
2023	B	`conf`	Adversarial Defect Synthesis for Industrial Products in Low Data Regime. ICIP Pasquale Coscia, Angelo Genovese, Fabio Scotti, Vincenzo Piuri
2023	—	`conf`	Applications and Limits of Image-to-Image Translation Models. DSP Pasquale Coscia, Angelo Genovese, Fabio Scotti, Vincenzo Piuri
2023	—	`conf`	Tree-based Optimization for Image-to-Image Translation with Imbalanced Datasets on the Edge. CIVEMSA Pasquale Coscia, Angelo Genovese, Vincenzo Piuri, Francesco Rundo, Fabio Scotti
2022	B	`conf`	Early Pedestrian Intent Prediction via Features Estimation. ICIP Nada Osman, Enrico Cancelli, Guglielmo Camporese, Pasquale Coscia, Lamberto Ballan
2022	—	`conf`	Goal-driven Self-Attentive Recurrent Networks for Trajectory Prediction. CVPR Workshops Luigi Filippo Chiara, Pasquale Coscia, Sourav Das, Simone Calderara, Rita Cucchiara, Lamberto Ballan
2022	J	`jnl`	Goal-driven Self-Attentive Recurrent Networks for Trajectory Prediction. CoRR Luigi Filippo Chiara, Pasquale Coscia, Sourav Das, Simone Calderara, Rita Cucchiara, Lamberto Ballan
2022	A*	`conf`	How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting. CVPR Alessio Monti, Angelo Porrello, Simone Calderara, Pasquale Coscia, Lamberto Ballan, Rita Cucchiara
2022	J	`jnl`	How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting. CoRR Alessio Monti, Angelo Porrello, Simone Calderara, Pasquale Coscia, Lamberto Ballan, Rita Cucchiara
2021	J	`jnl`	AC-VRNN: Attentive Conditional-VRNN for multi-future trajectory prediction. Comput. Vis. Image Underst. Alessia Bertugli, Simone Calderara, Pasquale Coscia, Lamberto Ballan, Rita Cucchiara
2021	—	`conf`	SlowFast Rolling-Unrolling LSTMs for Action Anticipation in Egocentric Videos. ICCVW Nada Osman, Guglielmo Camporese, Pasquale Coscia, Lamberto Ballan
2021	J	`jnl`	SlowFast Rolling-Unrolling LSTMs for Action Anticipation in Egocentric Videos. CoRR Nada Osman, Guglielmo Camporese, Pasquale Coscia, Lamberto Ballan
2020	B	`conf`	A CNN-RNN Framework for Image Annotation from Visual Cues and Social Network Metadata. ICPR Tobia Tesan, Pasquale Coscia, Lamberto Ballan
2020	J	`jnl`	AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction. CoRR Alessia Bertugli, Simone Calderara, Pasquale Coscia, Lamberto Ballan, Rita Cucchiara
2020	B	`conf`	Knowledge Distillation for Action Anticipation via Label Smoothing. ICPR Guglielmo Camporese, Pasquale Coscia, Antonino Furnari, Giovanni Maria Farinella, Lamberto Ballan
2020	J	`jnl`	Knowledge Distillation for Action Anticipation via Label Smoothing. CoRR Guglielmo Camporese, Pasquale Coscia, Antonino Furnari, Giovanni Maria Farinella, Lamberto Ballan
2020	—	`ch.`	Linear Artificial Forces for Human Dynamics in Complex Contexts. Neural Approaches to Dynamics of Signal Exchanges Pasquale Coscia, Lamberto Ballan, Francesco A. N. Palmieri, Alexandre Alahi, Silvio Savarese
2019	J	`jnl`	A CNN-RNN Framework for Image Annotation from Visual Cues and Social Network Metadata. CoRR Tobia Tesan, Pasquale Coscia, Lamberto Ballan
2019	—	`conf`	Social and Scene-Aware Trajectory Prediction in Crowded Spaces. ICCV Workshops Matteo Lisotto, Pasquale Coscia, Lamberto Ballan
2019	J	`jnl`	Social and Scene-Aware Trajectory Prediction in Crowded Spaces. CoRR Matteo Lisotto, Pasquale Coscia, Lamberto Ballan
2018	J	`jnl`	Long-term path prediction in urban scenarios using circular distributions. Image Vis. Comput. Pasquale Coscia, Francesco Castaldo, Francesco A. N. Palmieri, Alexandre Alahi, Silvio Savarese, Lamberto Ballan
2018	J	`jnl`	Multiple Ornstein-Uhlenbeck Processes for Maritime Traffic Graph Representation. IEEE Trans. Aerosp. Electron. Syst. Pasquale Coscia, Paolo Braca, Leonardo Maria Millefiori, Francesco A. N. Palmieri, Peter Willett
2018	C	`conf`	Unsupervised Maritime Traffic Graph Learning with Mean-Reverting Stochastic Processes. FUSION Pasquale Coscia, Francesco A. N. Palmieri, Paolo Braca, Leonardo Maria Millefiori, Peter Willett
2016	J	`jnl`	3-D Hand Pose Estimation from Kinect's Point Cloud Using Appearance Matching. CoRR Pasquale Coscia, Francesco A. N. Palmieri, Francesco Castaldo, Alberto Cavallo
2016	—	`ch.`	3-D Hand Pose Estimation from Kinect's Point Cloud Using Appearance Matching. Advances in Neural Networks Pasquale Coscia, Francesco A. N. Palmieri, Francesco Castaldo, Alberto Cavallo
2016	C	`conf`	Point-based path prediction from polar histograms. FUSION Pasquale Coscia, Francesco Castaldo, Francesco A. N. Palmieri, Lamberto Ballan, Alexandre Alahi, Silvio Savarese

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.