Uncertainty-Aware Diffusion Guided Refinement of 3D Scenes.
CoRR, March, 2025
Conformal Prediction and MLLM aided Uncertainty Quantification in Scene Graph Generation.
CoRR, March, 2025
Reconstruction Guided Meta-Learning for Few Shot Open Set Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023
Active Learning Guided Federated Online Adaptation: Applications in Medical Image Segmentation.
CoRR, 2023
Semantics Guided Contrastive Learning of Transformers for Zero-shot Temporal Activity Detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Unbiased Scene Graph Generation in Videos.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Learning Few-shot Open-set Classifiers using Exemplar Reconstruction.
CoRR, 2021
Boosting with Lexicographic Programming: Addressing Class Imbalance without Cost Tuning.
IEEE Trans. Knowl. Data Eng., 2020
Diversifying Support Vector Machines for Boosting using Kernel Perturbation: Applications to Class Imbalance and Small Disjuncts.
CoRR, 2017
On Boosting, Tug of War, and Lexicographic Programming.
CoRR, 2017