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05/11/2023
FreePoint: Unsupervised Point Cloud Instance Segmentation
Instance segmentation of point clouds is a crucial task in 3D field with...
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02/02/2023
No One Left Behind: Real-World Federated Class-Incremental Learning
Federated learning (FL) is a hot collaborative training framework via ag...
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09/27/2022
Motion Transformer with Global Intention Localization and Local Movement Refinement
Predicting multimodal future behavior of traffic participants is essenti...
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09/20/2022
MTR-A: 1st Place Solution for 2022 Waymo Open Dataset Challenge – Motion Prediction
In this report, we present the 1st place solution for motion prediction ...
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05/25/2022
Deep Gradient Learning for Efficient Camouflaged Object Detection
This paper introduces DGNet, a novel deep framework that exploits object...
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04/27/2022
HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation
Unsupervised domain adaptation (UDA) aims to adapt a model trained on th...
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11/29/2021
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation
As acquiring pixel-wise annotations of real-world images for semantic se...
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04/28/2020
Revisiting Multi-Task Learning in the Deep Learning Era
Despite the recent progress in deep learning, most approaches still go f...
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04/03/2020
Quantifying Data Augmentation for LiDAR based 3D Object Detection
In this work, we shed light on different data augmentation techniques co...
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12/09/2019
