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05/27/2023
Condition-Invariant Semantic Segmentation
Adaptation of semantic segmentation networks to different visual conditi...
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03/09/2023
Contrastive Model Adaptation for Cross-Condition Robustness in Semantic Segmentation
Standard unsupervised domain adaptation methods adapt models from a sour...
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10/13/2022
Composite Learning for Robust and Effective Dense Predictions
Multi-task learning promises better model generalization on a target tas...
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07/14/2022
Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions
Due to the scarcity of dense pixel-level semantic annotations for images...
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07/03/2022
Lasers to Events: Automatic Extrinsic Calibration of Lidars and Event Cameras
Despite significant academic and corporate efforts, autonomous driving u...
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04/28/2021
Exploring Relational Context for Multi-Task Dense Prediction
The timeline of computer vision research is marked with advances in lear...
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08/24/2020
Automated Search for Resource-Efficient Branched Multi-Task Networks
The multi-modal nature of many vision problems calls for neural network ...
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07/24/2020