Sagar Vaze

According to our database, Sagar Vaze authored at least 12 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

SPTNet: An Efficient Alternative Framework for Generalized Category Discovery with Spatial Prompt Tuning.

Hongjun Wang, Sagar Vaze, Kai Han

CoRR, 2024

2023

What's in a Name? Beyond Class Indices for Image Recognition.

Kai Han, Yandong Li, Sagar Vaze, Jie Li, Xuhui Jia

CoRR, 2023

No Representation Rules Them All in Category Discovery.

Sagar Vaze, Andrea Vedaldi, Andrew Zisserman

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

GeneCIS: A Benchmark for General Conditional Image Similarity.

Sagar Vaze, Nicolas Carion, Ishan Misra

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Semantically Grounded Object Matching for Robust Robotic Scene Rearrangement.

Walter Goodwin, Sagar Vaze, Ioannis Havoutis, Ingmar Posner

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Open-Set Recognition: A Good Closed-Set Classifier is All You Need.

Sagar Vaze, Kai Han, Andrea Vedaldi, Andrew Zisserman

Proceedings of the Tenth International Conference on Learning Representations, 2022

Zero-Shot Category-Level Object Pose Estimation.

Walter Goodwin, Sagar Vaze, Ioannis Havoutis, Ingmar Posner

Proceedings of the Computer Vision - ECCV 2022, 2022

Generalized Category Discovery.

Sagar Vaze, Kai Han, Andrea Vedaldi, Andrew Zisserman

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

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

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

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

2018

Segmentation of Fetal Adipose Tissue Using Efficient CNNs for Portable Ultrasound.

Sagar Vaze, Ana I. L. Namburete

Proceedings of the Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis, 2018