Segmentation of Fetal Adipose Tissue Using Efficient CNNs for Portable Ultrasound. - Sagar Vaze; Ana I. L. Namburete (DATRA/PIPPI@MICCAI, 2018)

SMArtCast: Predicting soil moisture interpolations into the future using Earth observation data in a deep learning framework. - Conrad James Foley; Sagar Vaze; Mohamed El Amine Seddiq; Alexey Unagaev; Natalia Efremova (CoRR, 2020)

Optimal Use of Multi-spectral Satellite Data with Convolutional Neural Networks. - Sagar Vaze; Conrad James Foley; Mohamed El Amine Seddiq; Alexey Unagaev; Natalia Efremova (CoRR, 2020)

Low-Memory CNNs Enabling Real-Time Ultrasound Segmentation Towards Mobile Deployment. - Sagar Vaze; Weidi Xie; Ana I. L. Namburete (IEEE J. Biomed. Health Informatics, 2020)

Generalized Category Discovery. - Sagar Vaze; Kai Han 001; Andrea Vedaldi; Andrew Zisserman (CVPR, 2022)

Zero-Shot Category-Level Object Pose Estimation. - Walter Goodwin; Sagar Vaze; Ioannis Havoutis; Ingmar Posner (ECCV (39), 2022)

Open-Set Recognition: A Good Closed-Set Classifier is All You Need. - Sagar Vaze; Kai Han 001; Andrea Vedaldi; Andrew Zisserman (ICLR, 2022)

Semantically Grounded Object Matching for Robust Robotic Scene Rearrangement. - Walter Goodwin; Sagar Vaze; Ioannis Havoutis; Ingmar Posner (ICRA, 2022)

GeneCIS: A Benchmark for General Conditional Image Similarity. - Sagar Vaze; Nicolas Carion; Ishan Misra (CVPR, 2023)

No Representation Rules Them All in Category Discovery. - Sagar Vaze; Andrea Vedaldi; Andrew Zisserman (NeurIPS, 2023)

What's in a Name? Beyond Class Indices for Image Recognition. - Kai Han 001; Yandong Li; Sagar Vaze; Jie Li 040; Xuhui Jia (CoRR, 2023)

SPTNet: An Efficient Alternative Framework for Generalized Category Discovery with Spatial Prompt Tuning. - Hongjun Wang; Sagar Vaze; Kai Han 001 (ICLR, 2024)

Pixtral 12B. - Pravesh Agrawal; Szymon Antoniak; Emma Bou Hanna; Baptiste Bout; Devendra Singh Chaplot; Jessica Chudnovsky; Diogo Costa; Baudouin De Monicault; Saurabh Garg; Théophile Gervet; Soham Ghosh; Amélie Héliou; et al. (CoRR, 2024)

HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain Shifts. - Hongjun Wang; Sagar Vaze; Kai Han 001 (ICLR, 2025)

Dissecting Out-of-Distribution Detection and Open-Set Recognition: A Critical Analysis of Methods and Benchmarks. - Hongjun Wang; Sagar Vaze; Kai Han 001 (Int. J. Comput. Vis., 2025)

Magistral. - Abhinav Rastogi; Albert Q. Jiang; Andy Lo; Gabrielle Berrada; Guillaume Lample; Jason Rute; Joep Barmentlo; Karmesh Yadav; Kartik Khandelwal; Khyathi Raghavi Chandu; Léonard Blier; Lucile Saulnier; et al. (CoRR, 2025)

Voxtral. - Alexander H. Liu; Andy Ehrenberg; Andy Lo; Clément Denoix; Corentin Barreau; Guillaume Lample; Jean-Malo Delignon; Khyathi Raghavi Chandu; Patrick von Platen; Pavankumar Reddy Muddireddy; Sanchit Gandhi; Soham Ghosh; et al. (CoRR, 2025)