Can Multi-modal (reasoning) LLMs work as deepfake detectors?
CoRR, March, 2025
Do Deepfake Detectors Work in Reality?
CoRR, February, 2025
Segment anything, from space?
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Deep Learning for the modeling and design of artificial electromagnetic materials.
PhD thesis, 2023
Deep Active Learning for Scientific Computing in the Wild.
CoRR, 2023
Drowning Detection based on YOLOv8 improved by GP-GAN Augmentation.
Proceedings of the First Tiny Papers Track at ICLR 2023, 2023
Mixture Manifold Networks: A Computationally Efficient Baseline for Inverse Modeling.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Self-Supervised Encoders Are Better Transfer Learners in Remote Sensing Applications.
Remote. Sens., 2022
Utilizing Geospatial Data for Assessing Energy Security: Mapping Small Solar Home Systems Using Unmanned Aerial Vehicles and Deep Learning.
ISPRS Int. J. Geo Inf., 2022
Automated Extraction of Energy Systems Information from Remotely Sensed Data: A Review and Analysis.
CoRR, 2022
Hyperparameter-free deep active learning for regression problems via query synthesis.
CoRR, 2022
Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Inverse deep learning methods and benchmarks for artificial electromagnetic material design.
CoRR, 2021
Benchmarking Data-driven Surrogate Simulators for Artificial Electromagnetic Materials.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021
Benchmarking Deep Inverse Models over time, and the Neural-Adjoint method.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020