| 2026 | COMPSAC | Unveiling Security Traits of Cross-Platform Android Applications: A Large-Scale Empirical Study. | Devin Sterling, Yash Patel, Samantha Zuza, Hyunbum Kim, Junggab Son, Daeyoung Kim |
| 2025 | ACL | Silencing Empowerment, Allowing Bigotry: Auditing the Moderation of Hate Speech on Twitch. | Prarabdh Shukla, Wei Yin Chong, Yash Patel, Brennan Schaffner, Danish Pruthi, Arjun Nitin Bhagoji |
| 2025 | ICIP | RN-Sam: Road Network-Aided Sam Optimization for Road Segmentation In Satellite Imagery. | Ryosuke Kawamura, Pablo Guarda, Pradeep Narwade, Yash Patel, Koichiro Niinuma |
| 2023 | AAAI | Contrastive Classification and Representation Learning with Probabilistic Interpretation. | Rahaf Aljundi, Yash Patel, Milan Sulc, Nikolay Chumerin, Daniel Olmeda Reino |
| 2023 | CVPR | Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training. | Filip Radenovic, Abhimanyu Dubey, Abhishek Kadian, Todor Mihaylov, Simon Vandenhende, Yash Patel, Yi Wen, Vignesh Ramanathan, Dhruv Mahajan |
| 2023 | ECIR | DocILE 2023 Teaser: Document Information Localization and Extraction. | Stepn Simsa, Milan Sulc, Matys Skalick, Yash Patel, Ahmed Hamdi |
| 2023 | ICCV | Generalized Differentiable RANSAC. | Tong Wei, Yash Patel, Alexander Shekhovtsov, Jir Matas, Daniel Barath |
| 2023 | ICDAR | DocILE Benchmark for Document Information Localization and Extraction. | Stepn Simsa, Milan Sulc, Michal Uricr, Yash Patel, Ahmed Hamdi, Matej Kocin, Matys Skalick, Jir Matas, Antoine Doucet, Mickal Coustaty, Dimosthenis Karatzas |
| 2023 | IJCNN | Predicting Habitable Exoplanets in Different Star-Systems Using Deep Learning Based Anomaly Detection Approach. | Yash Patel, Sadhana Tiwari, Sanjay Kumar Sonbhadra, Sonali Agarwal |
| 2022 | CVPR | Recall@k Surrogate Loss with Large Batches and Similarity Mixup. | Yash Patel, Giorgos Tolias, Jir Matas |
| 2021 | ICDAR | FEDS - Filtered Edit Distance Surrogate. | Yash Patel, Jiri Matas |
| 2021 | WACV | Saliency Driven Perceptual Image Compression. | Yash Patel, Srikar Appalaraju, R. Manmatha |
| 2020 | ECCV | Learning Surrogates via Deep Embedding. | Yash Patel, Toms Hodan, Jiri Matas |
| 2019 | ICDAR | ICDAR2019 Robust Reading Challenge on Multi-lingual Scene Text Detection and Recognition - RRC-MLT-2019. | Nibal Nayef, Cheng-Lin Liu, Jean-Marc Ogier, Yash Patel, Michal Busta, Pinaki Nath Chowdhury, Dimosthenis Karatzas, Wafa Khlif, Jiri Matas, Umapada Pal, Jean-Christophe Burie |
| 2018 | ACCV | E2E-MLT - An Unconstrained End-to-End Method for Multi-language Scene Text. | Michal Busta, Yash Patel, Jiri Matas |
| 2017 | CVPR | Self-Supervised Learning of Visual Features through Embedding Images into Text Topic Spaces. | Lluis Gomez-Bigorda, Yash Patel, Maral Rusiol, Dimosthenis Karatzas, C. V. Jawahar |
| 2016 | ECCV | Dynamic Narratives for Heritage Tour. | Anurag Ghosh, Yash Patel, Mohak Sukhwani, C. V. Jawahar |
| 2016 | ECCV | Dynamic Lexicon Generation for Natural Scene Images. | Yash Patel, Llus Gmez i Bigorda, Maral Rusiol, Dimosthenis Karatzas |
| 2006 | EDOC | Average-Based Workload Allocation Strategy for QoS-Constrained Jobs In A Web Service-Oriented Grid. | Yash Patel, John Darlington |
| 2006 | ICDCIT | Allocating QOS-Constrained Applications in a Web Service-Oriented Grid. | Yash Patel, John Darlington |
| 2006 | ISPA | Allocating QoS-Constrained Workflow-Based Jobs in a Multi-cluster Grid Through Queueing Theory Approach. | Yash Patel, John Darlington |
| 2006 | Middleware | A novel approach to allocating QoS-constrained workflow-based jobs in a multi-cluster grid. | Yash Patel, John Darlington |