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08/21/2023
UniM^2AE: Multi-modal Masked Autoencoders with Unified 3D Representation for 3D Perception in Autonomous Driving
Masked Autoencoders (MAE) play a pivotal role in learning potent represe...
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03/26/2022
Uncertainty-aware Contrastive Distillation for Incremental Semantic Segmentation
A fundamental and challenging problem in deep learning is catastrophic f...
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02/01/2022
Continual Attentive Fusion for Incremental Learning in Semantic Segmentation
Over the past years, semantic segmentation, as many other tasks in compu...
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11/19/2021
Global and Local Alignment Networks for Unpaired Image-to-Image Translation
The goal of unpaired image-to-image translation is to produce an output ...
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11/19/2021
Bi-Mix: Bidirectional Mixing for Domain Adaptive Nighttime Semantic Segmentation
In autonomous driving, learning a segmentation model that can adapt to v...
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05/28/2021
Transformer-Based Source-Free Domain Adaptation
In this paper, we study the task of source-free domain adaptation (SFDA)...
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03/22/2021
Transformers Solve the Limited Receptive Field for Monocular Depth Prediction
While convolutional neural networks have shown a tremendous impact on va...
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03/05/2021
Variational Structured Attention Networks for Deep Visual Representation Learning
Convolutional neural networks have enabled major progress in addressing ...
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02/12/2020