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03/03/2023
Visual Exemplar Driven Task-Prompting for Unified Perception in Autonomous Driving
Multi-task learning has emerged as a powerful paradigm to solve a range ...
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03/25/2022
Point2Seq: Detecting 3D Objects as Sequences
We present a simple and effective framework, named Point2Seq, for 3D obj...
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02/14/2022
Wukong: 100 Million Large-scale Chinese Cross-modal Pre-training Dataset and A Foundation Framework
This paper presents a large-scale Chinese cross-modal dataset for benchm...
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11/09/2021
FILIP: Fine-grained Interactive Language-Image Pre-Training
Unsupervised large-scale vision-language pre-training has shown promisin...
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09/06/2021
Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection
We present a flexible and high-performance framework, named Pyramid R-CN...
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09/06/2021
Voxel Transformer for 3D Object Detection
We present Voxel Transformer (VoTr), a novel and effective voxel-based T...
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06/21/2021
One Million Scenes for Autonomous Driving: ONCE Dataset
Current perception models in autonomous driving have become notorious fo...
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07/01/2018
Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data
User response prediction is a crucial component for personalized informa...
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03/09/2018