Project Page (ObjectDR)
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Updated
Mar 22, 2024 - JavaScript
Project Page (ObjectDR)
Official Implementation of ClusterFix (WACV 2024)
[CVPR 2023] Domain Generalized Stereo Matching via Hierarchical Visual Transformation
Official pytorch implementation of the paper [Environment Agnostic Representation for Visual Reinforcement learning]
Proposed a novel method for image quality enhancement using diffusion models
EM-Net: Effective and Morphology-aware Network for Skin Lesion Segmentation
Gated Domain Units (GDU) aim to make your deep learning models robust against distribution shifts when applied in the real-world.
This is the training and test code for ECCV2022 workshop NICO challenge
This repository contains the code for the paper Modularity Trumps Invariance for Compositonal Robustness.
[MICCAI'24 Early Accept] Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations
An unofficial implementation of Frustratingly Simple Domain Generalization via Image Stylization
Project Page (PromptStyler, ICCV 2023)
Submission for task 2 "Unsupervised Anomalous Sound Detection for Machine Condition Monitoring Applying Domain Generalization Techniques" of the DCASE challenge 2022 (https://dcase.community/challenge2022/task-unsupervised-anomalous-sound-detection-for-machine-condition-monitoring).
[AAAI24] Learning Invariant Inter-pixel Correlations for Superpixel Generation
Data loader and solution method for the DCASE 2024 Challenge Task1
Code for the control+shift paper, where a method for generating general datasets with a controllable amount of distribution shift was proposed. Presented at the ECCV'24 "Synthetic Data for Computer Vision" workshop.
Code for Princeton ORFE Senior Thesis (Domain Generalization for Deep Learning-Based Glaucoma Classification)
Do Domain Generalization Methods Generalize Well? (Workshop on Machine Learning Safety at NeurIPS 2022).
Code for my paper "Semi-Supervised Unconstrained Head Pose Estimation in the Wild"
[ICML 2024] "Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models"
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