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06/27/2023
Symphonize 3D Semantic Scene Completion with Contextual Instance Queries
3D Semantic Scene Completion (SSC) has emerged as a nascent and pivotal ...
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06/23/2023
ProRes: Exploring Degradation-aware Visual Prompt for Universal Image Restoration
Image restoration aims to reconstruct degraded images, e.g., denoising o...
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04/19/2023
VMA: Divide-and-Conquer Vectorized Map Annotation System for Large-Scale Driving Scene
High-definition (HD) map serves as the essential infrastructure of auton...
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03/30/2023
MobileInst: Video Instance Segmentation on the Mobile
Although recent approaches aiming for video instance segmentation have a...
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03/15/2023
Lane Graph as Path: Continuity-preserving Path-wise Modeling for Online Lane Graph Construction
Online lane graph construction is a promising but challenging task in au...
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12/05/2022
Perceive, Interact, Predict: Learning Dynamic and Static Clues for End-to-End Motion Prediction
Motion prediction is highly relevant to the perception of dynamic object...
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10/11/2022
BoxTeacher: Exploring High-Quality Pseudo Labels for Weakly Supervised Instance Segmentation
Labeling objects with pixel-wise segmentation requires a huge amount of ...
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08/30/2022
MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction
We present MapTR, a structured end-to-end framework for efficient online...
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07/05/2022
Vision-based Uneven BEV Representation Learning with Polar Rasterization and Surface Estimation
In this work, we propose PolarBEV for vision-based uneven BEV representa...
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06/22/2022
Polar Parametrization for Vision-based Surround-View 3D Detection
3D detection based on surround-view camera system is a critical techniqu...
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06/13/2022
Featurized Query R-CNN
The query mechanism introduced in the DETR method is changing the paradi...
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06/09/2022
Efficient and Robust 2D-to-BEV Representation Learning via Geometry-guided Kernel Transformer
Learning Bird's Eye View (BEV) representation from surrounding-view came...
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03/27/2022
Knowledge Mining with Scene Text for Fine-Grained Recognition
Recently, the semantics of scene text has been proven to be essential in...
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03/24/2022
AziNorm: Exploiting the Radial Symmetry of Point Cloud for Azimuth-Normalized 3D Perception
Studying the inherent symmetry of data is of great importance in machine...
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03/24/2022
Sparse Instance Activation for Real-Time Instance Segmentation
In this paper, we propose a conceptually novel, efficient, and fully con...
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07/17/2020
Boundary-preserving Mask R-CNN
Tremendous efforts have been made to improve mask localization accuracy ...
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08/20/2019
Deep High-Resolution Representation Learning for Visual Recognition
High-resolution representations are essential for position-sensitive vis...
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06/17/2019
MMDetection: Open MMLab Detection Toolbox and Benchmark
We present MMDetection, an object detection toolbox that contains a rich...
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04/09/2019
High-Resolution Representations for Labeling Pixels and Regions
High-resolution representation learning plays an essential role in many ...
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11/19/2018