Faisal Z. Qureshi

78 papers A* 2A 3B 6C 7Misc 2Journal 34Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	C	`conf`	Revisiting Person Re-ID: ConvNeXt with AIBN and TNorm in IICS/IIDS Frameworks. ICPRAM Faisal Z. Qureshi, Roya Dehghani
2026	J	`jnl`	Self-Attention Enhanced Student-Teacher Framework for Visual Anomaly Detection in Industrial Images. IEEE Access Hafiz A. Amjad, Irida Shallari, Mattias O'Nils, Faisal Z. Qureshi
2025	J	`jnl`	A Prognostic Framework for Rotating Machines Considering Multi-Component Fault Scenarios. IEEE Access Adam Lycksam, Mattias O'Nils, Faisal Z. Qureshi
2025	J	`jnl`	CascadedViT: Cascaded Chunk-FeedForward and Cascaded Group Attention Vision Transformer. CoRR Srivathsan Sivakumar, Faisal Z. Qureshi
2025	J	`jnl`	Compositional Zero-Shot Learning: A Survey. CoRR Ans Munir, Faisal Z. Qureshi, Mohsen Ali, Muhammad Haris Khan
2025	C	`conf`	Hyperspectral Image Compression Using Implicit Neural Representation and Meta-Learned Based Network. ICPRAM Faisal Z. Qureshi, Shima Rezasoltani
2025	J	`jnl`	Hyperspectral Image Compression Using Sampling and Implicit Neural Representations. IEEE Trans. Geosci. Remote. Sens. Shima Rezasoltani, Faisal Z. Qureshi
2025	J	`jnl`	Latent Dirichlet Transformer VAE for Hyperspectral Unmixing with Bundled Endmembers. CoRR Giancarlo Giannetti, Faisal Z. Qureshi
2025	J	`jnl`	Prompt-Based Continual Compositional Zero-Shot Learning. CoRR Sauda Maryam, Sara Nadeem, Faisal Z. Qureshi, Mohsen Ali
2025	C	`conf`	Single Hyperspectral Image Super-Resolution Utilizing Implicit Neural Representations. ICPRAM Bohdan Perederei, Faisal Z. Qureshi
2025	—	`conf`	TLAC: Two-stage LMM Augmented CLIP for Zero-Shot Classification. CVPR Workshops Ans Munir, Faisal Z. Qureshi, Muhammad Haris Khan, Mohsen Ali
2025	J	`jnl`	TLAC: Two-stage LMM Augmented CLIP for Zero-Shot Classification. CoRR Ans Munir, Faisal Z. Qureshi, Muhammad Haris Khan, Mohsen Ali
2024	J	`jnl`	Attention Based Simple Primitives for Open World Compositional Zero-Shot Learning. CoRR Ans Munir, Faisal Z. Qureshi, Muhammad Haris Khan, Mohsen Ali
2024	Misc	`conf`	Attention Based Simple Primitives for Open-World Compositional Zero-Shot Learning. DICTA Ans Munir, Faisal Z. Qureshi, Muhammad Haris Khan, Mohsen Ali
2024	J	`jnl`	Contextual Knowledge-Informed Deep Domain Generalization for Bearing Fault Diagnosis. IEEE Access Adam Lundström, Mattias O'Nils, Faisal Z. Qureshi
2024	J	`jnl`	Hyperspectral Pixel Unmixing With Latent Dirichlet Variational Autoencoder. IEEE Trans. Geosci. Remote. Sens. Kiran Mantripragada, Faisal Z. Qureshi
2024	C	`conf`	SpACNN-LDVAE: Spatial Attention Convolutional Latent Dirichlet Variational Autoencoder for Hyperspectral Pixel Unmixing. IGARSS Soham Chitnis, Kiran Mantripragada, Faisal Z. Qureshi
2024	C	`conf`	Towards Practically Applicable Transfer Learning Methods for Remaining Useful Life Prediction of Bearings. INDIN Adam Lundström, Mattias O'Nils, Faisal Z. Qureshi
2023	J	`jnl`	An Interactive Threshold-Setting Procedure for Improved Multivariate Anomaly Detection in Time Series. IEEE Access Adam Lundström, Mattias O'Nils, Faisal Z. Qureshi
2023	C	`conf`	An Iterative Method for Hyperspectral Pixel Unmixing Leveraging Latent Dirichlet Variational Autoencoder. IGARSS Kiran Mantripragada, Paul R. Adler, Peder A. Olsen, Faisal Z. Qureshi
2023	J	`jnl`	Error Estimation for Single-Image Human Body Mesh Reconstruction. CoRR Hamoon Jafarian, Faisal Z. Qureshi
2023	J	`jnl`	Hyperspectral Image Compression Using Implicit Neural Representation. CoRR Shima Rezasoltani, Faisal Z. Qureshi
2023	—	`conf`	Hyperspectral Image Compression Using Implicit Neural Representations. CRV Shima Rezasoltani, Faisal Z. Qureshi
2023	J	`jnl`	Hyperspectral Image Compression Using Sampling and Implicit Neural Representations. CoRR Shima Rezasoltani, Faisal Z. Qureshi
2023	J	`jnl`	SpACNN-LDVAE: Spatial Attention Convolutional Latent Dirichlet Variational Autoencoder for Hyperspectral Pixel Unmixing. CoRR Soham Chitnis, Kiran Mantripragada, Faisal Z. Qureshi
2022	J	`jnl`	A Stream Algebra for Performance Optimization of Large Scale Computer Vision Pipelines. IEEE Trans. Pattern Anal. Mach. Intell. Mohamed A. Helala, Faisal Z. Qureshi, Ken Q. Pu
2022	J	`jnl`	Evaluation of Dirichlet Process Gaussian Mixtures for Segmentation on Noisy Hyperspectral Images. CoRR Kiran Mantripragada, Faisal Z. Qureshi
2022	J	`jnl`	Hyperspectral Pixel Unmixing with Latent Dirichlet Variational Autoencoder. CoRR Kiran Mantripragada, Faisal Z. Qureshi
2022	J	`jnl`	Improving Deep Learning Based Anomaly Detection on Multivariate Time Series Through Separated Anomaly Scoring. IEEE Access Adam Lundström, Mattias O'Nils, Faisal Z. Qureshi, Axel Jantsch
2021	J	`jnl`	A Temporal Boosted YOLO-Based Model for Birds Detection around Wind Farms. J. Imaging Hiba H. Alqaysi, Igor Fedorov, Faisal Z. Qureshi, Mattias O'Nils
2021	J	`jnl`	A study on the effects of compression on hyperspectral image classification. CoRR Kiran Mantripragada, Phuong D. Dao, Yuhong He, Faisal Z. Qureshi
2021	J	`jnl`	Evaluation of 2D-/3D-Feet-Detection Methods for Semi-Autonomous Powered Wheelchair Navigation. J. Imaging Cristian Vilar Giménez, Silvia Krug, Faisal Z. Qureshi, Mattias O'Nils
2020	J	`jnl`	A Residual-Dyad Encoder Discriminator Network for Remote Sensing Image Matching. IEEE Trans. Geosci. Remote. Sens. Numan Khurshid, Mohbat Tharani, Murtaza Taj, Faisal Z. Qureshi
2019	J	`jnl`	EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning. CoRR Kamyar Nazeri, Eric Ng, Tony Joseph, Faisal Z. Qureshi, Mehran Ebrahimi
2019	—	`conf`	EdgeConnect: Structure Guided Image Inpainting using Edge Prediction. ICCV Workshops Kamyar Nazeri, Eric Ng, Tony Joseph, Faisal Z. Qureshi, Mehran Ebrahimi
2019	A	`conf`	Joint Spatial and Layer Attention for Convolutional Networks. BMVC Tony Joseph, Konstantinos G. Derpanis, Faisal Z. Qureshi
2019	J	`jnl`	Real-time Video Summarization on Commodity Hardware. CoRR Wesley Taylor, Faisal Z. Qureshi
2019	J	`jnl`	UAN: Unified Attention Network for Convolutional Neural Networks. CoRR Tony Joseph, Konstantinos G. Derpanis, Faisal Z. Qureshi
2018	J	`jnl`	A Framework for Video-Driven Crowd Synthesis. CoRR Jordan Stadler, Faisal Z. Qureshi
2018	A*	`conf`	Neural Networks Trained to Solve Differential Equations Learn General Representations. NeurIPS Martin Magill, Faisal Z. Qureshi, Hendrick W. de Haan
2018	—	`conf`	Real-time Video Summarization on Commodity Hardware. ICDSC Wesley Taylor, Faisal Z. Qureshi
2017	—	`conf`	An Index Structure for Fast Range Search in Hamming Space. CRV E. M. Reina, Ken Q. Pu, Faisal Z. Qureshi
2017	—	`conf`	Fast Estimation of Large Displacement Optical Flow Using Dominant Motion Patterns & Sub-Volume PatchMatch Filtering. CRV Mohamed A. Helala, Faisal Z. Qureshi
2016	—	`conf`	A Formal Algebra Implementation for Distributed Image and Video Stream Processing. ICDSC Mohamed A. Helala, Ken Q. Pu, Faisal Z. Qureshi
2016	A	`conf`	Automatic video editing for sensor-rich videos. WACV Wesley Taylor, Faisal Z. Qureshi
2016	A	`conf`	Constructing image mosaics using focus based depth analysis. WACV Mohamed A. Helala, Faisal Z. Qureshi
2015	J	`jnl`	Automatic parsing of lane and road boundaries in challenging traffic scenes. J. Electronic Imaging Mohamed A. Helala, Faisal Z. Qureshi, Ken Q. Pu
2015	J	`jnl`	Stereo Reconstruction of Droplet Flight Trajectories. IEEE Trans. Pattern Anal. Mach. Intell. Luis A. Zarrabeitia, Faisal Z. Qureshi, Dhavide A. Aruliah
2014	—	`conf`	A Negotiation Protocol with Conditional Offers for Camera Handoffs. ICDSC Wiktor Starzyk, Faisal Z. Qureshi
2014	—	`conf`	A Stream Algebra for Computer Vision Pipelines. CVPR Workshops Mohamed A. Helala, Ken Q. Pu, Faisal Z. Qureshi
2014	—	`conf`	Accelerating Cost Volume Filtering Using Salient Subvolumes and Robust Occlusion Handling. ACCV (2) Mohamed A. Helala, Faisal Z. Qureshi
2014	J	`jnl`	Integrating Consumer Smart Cameras into Camera Networks: Opportunities and Obstacles. Computer Andrea Prati, Faisal Z. Qureshi
2014	—	`conf`	Towards Efficient Feedback Control in Streaming Computer Vision Pipelines. ACCV Workshops (2) Mohamed A. Helala, Ken Q. Pu, Faisal Z. Qureshi
2013	C	`conf`	Droplet Tracking from Unsynchronized Cameras. ICPRAM Luis A. Zarrabeitia, Faisal Z. Qureshi, Dhavide A. Aruliah
2013	J	`jnl`	Guest Editorial Computational and Smart Cameras. IEEE J. Emerg. Sel. Topics Circuits Syst. Edmund Y. Lam, Hamid K. Aghajan, Andrea Prati, Faisal Z. Qureshi, Vincent W. L. Tam
2013	—	`conf`	I Remember Seeing This Video: Image Driven Search in Video Collections. CRV Zheng Wang, Faisal Z. Qureshi
2013	—	`ch.`	Object Video Streams: A Framework for Preserving Privacy in Video Surveillance. Intelligent Multimedia Surveillance Faisal Z. Qureshi
2013	J	`jnl`	Software Laboratory for Camera Networks Research. IEEE J. Emerg. Sel. Topics Circuits Syst. Wiktor Starzyk, Faisal Z. Qureshi
2013	—	`conf`	Topic Models for Image Localization. CRV Zheng Wang, Faisal Z. Qureshi
2012	—	`conf`	A Virtual Vision Simulator for Camera Networks Research. CRV Wiktor Starzyk, Adam Domurad, Faisal Z. Qureshi
2012	—	`conf`	Extraction of Blood Droplet Flight Trajectories from Videos for Forensic Analysis. ICPRAM (2) Luis A. Zarrabeitia, Dhavide A. Aruliah, Faisal Z. Qureshi
2012	—	`conf`	Mosaic of near ground UAV videos under parallax effects. ICDSC Mohamed A. Helala, Luis A. Zarrabeitia, Faisal Z. Qureshi
2012	B	`conf`	Road Boundary Detection in Challenging Scenarios. AVSS Mohamed A. Helala, Ken Q. Pu, Faisal Z. Qureshi
2011	B	`conf`	Activity aware video collection to minimize resource usage in smart camera nodes. AVSS Faisal Z. Qureshi
2011	—	`conf`	Demo: A distributed virtual vision simulator. ICDSC Wiktor Starzyk, Adam Domurad, Faisal Z. Qureshi
2011	—	`conf`	Learning proactive control strategies for PTZ cameras. ICDSC Wiktor Starzyk, Faisal Z. Qureshi
2011	B	`conf`	Multi-tasking smart cameras for intelligent video surveillance systems. AVSS Wiktor Starzyk, Faisal Z. Qureshi
2011	—	`conf`	Negotiating Privacy Preferences in Video Surveillance Systems. IEA/AIE (2) Mukhtaj S. Barhm, Nidal Qwasmi, Faisal Z. Qureshi, Khalil El-Khatib
2010	—	`conf`	Collaborative sensing via local negotiations in ad hoc networks of smart cameras. ICDSC Faisal Z. Qureshi
2009	B	`conf`	Object-Video Streams for Preserving Privacy in Video Surveillance. AVSS Faisal Z. Qureshi
2009	—	`conf`	Planning ahead for PTZ camera assignment and handoff. ICDSC Faisal Z. Qureshi, Demetri Terzopoulos
2008	B	`conf`	Multi-camera Control through Constraint Satisfaction for Persistent Surveillance. AVSS Faisal Z. Qureshi, Demetri Terzopoulos
2007	—	`—`	Intelligent perception in virtual sensor networks and space robotics. Faisal Z. Qureshi
2007	A*	`conf`	Surveillance in Virtual Reality: System Design and Multi-Camera Control. CVPR Faisal Z. Qureshi, Demetri Terzopoulos
2007	B	`conf`	Virtual vision: visual sensor networks in virtual reality. VRST Faisal Z. Qureshi, Demetri Terzopoulos
2006	J	`jnl`	Surveillance camera scheduling: a virtual vision approach. Multim. Syst. Faisal Z. Qureshi, Demetri Terzopoulos
2005	Misc	`conf`	Cognitive Vision for Autonomous Satellite Rendezvous and Docking. MVA Faisal Z. Qureshi, Demetri Terzopoulos, Piotr Jasiobedzki
2005	—	`conf`	Surveillance camera scheduling: a virtual vision approach. VSSN@MM Faisal Z. Qureshi, Demetri Terzopoulos

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.