Gayatri Deshmukh

13 papers A* 1A 3Journal 7Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Best of Both Worlds: Multimodal Reasoning and Generation via Unified Discrete Flow Matching. CoRR Onkar Susladkar, Tushar Prakash, Gayatri Deshmukh, Kiet A. Nguyen, Jiaxun Zhang, Adheesh Sunil Juvekar, Tianshu Bao, Lin Chai, Sparsh Mittal, Inderjit S. Dhillon, Ismini Lourentzou
2025	J	`jnl`	ViCTr: Vital Consistency Transfer for Pathology Aware Image Synthesis. CoRR Onkar Susladkar, Gayatri Deshmukh, Yalcin Tur, Gorkhem Durak, Ulas Bagci
2024	—	`conf`	D ICPR (6) Onkar Susladkar, Gayatri Deshmukh, Sparsh Mittal, Parth Shastri
2024	J	`jnl`	D2Styler: Advancing Arbitrary Style Transfer with Discrete Diffusion Methods. CoRR Onkar Susladkar, Gayatri Deshmukh, Sparsh Mittal, Parth Shastri
2024	J	`jnl`	Dressing the Imagination: A Dataset for AI-Powered Translation of Text into Fashion Outfits and A Novel KAN Adapter for Enhanced Feature Adaptation. CoRR Gayatri Deshmukh, Somsubhra De, Chirag Sehgal, Jishu Sen Gupta, Sparsh Mittal
2024	A*	`conf`	GRIZAL: Generative Prior-guided Zero-Shot Temporal Action Localization. EMNLP Onkar Susladkar, Gayatri Deshmukh, Vandan Gorade, Sparsh Mittal
2024	A	`conf`	LIVENet: A novel network for real-world low-light image denoising and enhancement. WACV Dhruv Makwana, Gayatri Deshmukh, Onkar Susladkar, Sparsh Mittal, R. Sai Chandra Teja
2024	A	`conf`	Textual Alchemy: CoFormer for Scene Text Understanding. WACV Gayatri Deshmukh, Onkar Susladkar, Dhruv Makwana, Sparsh Mittal, R. Sai Chandra Teja
2023	A	`conf`	GAFNet: A Global Fourier Self Attention Based Novel Network for multi-modal downstream tasks. WACV Onkar Susladkar, Gayatri Deshmukh, Dhruv Makwana, Sparsh Mittal, R. Sai Chandra Teja, Rekha Singhal
2023	—	`conf`	TPFNet: A Novel Text In-painting Transformer for Text Removal. ICDAR (6) Onkar Susladkar, Dhruv Makwana, Gayatri Deshmukh, Sparsh Mittal, R. Sai Chandra Teja, Rekha Singhal
2022	J	`jnl`	ACLNet: An Attention and Clustering-based Cloud Segmentation Network. CoRR Dhruv Makwana, Subhrajit Nag, Onkar Susladkar, Gayatri Deshmukh, R. Sai Chandra Teja, Sparsh Mittal, C. Krishna Mohan
2022	J	`jnl`	ClarifyNet: A high-pass and low-pass filtering based CNN for single image dehazing. J. Syst. Archit. Onkar Susladkar, Gayatri Deshmukh, Subhrajit Nag, Ananya Mantravadi, Dhruv Makwana, Sujitha Ravichandran, R. Sai Chandra Teja, Gajanan H. Chavhan, C. Krishna Mohan, Sparsh Mittal
2022	J	`jnl`	TPFNet: A Novel Text In-painting Transformer for Text Removal. CoRR Onkar Susladkar, Dhruv Makwana, Gayatri Deshmukh, Sparsh Mittal, R. Sai Chandra Teja, Rekha Singhal

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.