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08/10/2023
MapTRv2: An End-to-End Framework for Online Vectorized HD Map Construction
High-definition (HD) map provides abundant and precise static environmen...
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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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03/21/2023
VAD: Vectorized Scene Representation for Efficient Autonomous Driving
Autonomous driving requires a comprehensive understanding of the surroun...
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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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09/13/2022
A Many-ported and Shared Memory Architecture for High-Performance ADAS SoCs
Increasing investment in computing technologies and the advancements in ...
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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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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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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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03/25/2021
Real-Time and Accurate Object Detection in Compressed Video by Long Short-term Feature Aggregation
Video object detection is a fundamental problem in computer vision and h...
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12/31/2019
Diversity Transfer Network for Few-Shot Learning
Few-shot learning is a challenging task that aims at training a classifi...
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12/11/2019
RDSNet: A New Deep Architecture for Reciprocal Object Detection and Instance Segmentation
Object detection and instance segmentation are two fundamental computer ...
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08/26/2019
High Performance Visual Object Tracking with Unified Convolutional Networks
Convolutional neural networks (CNN) based tracking approaches have shown...
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07/11/2019
Object Detection in Video with Spatial-temporal Context Aggregation
Recent cutting-edge feature aggregation paradigms for video object detec...
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07/02/2019
Proposal, Tracking and Segmentation (PTS): A Cascaded Network for Video Object Segmentation
Video object segmentation (VOS) aims at pixel-level object tracking give...
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03/01/2019
Mask Scoring R-CNN
Letting a deep network be aware of the quality of its own predictions is...
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01/17/2019
EAT-NAS: Elastic Architecture Transfer for Accelerating Large-scale Neural Architecture Search
Neural architecture search (NAS) methods have been proposed to release h...
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11/28/2018
CCNet: Criss-Cross Attention for Semantic Segmentation
Long-range dependencies can capture useful contextual information to ben...
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08/05/2018
Tracklet Association Tracker: An End-to-End Learning-based Association Approach for Multi-Object Tracking
Traditional multiple object tracking methods divide the task into two pa...
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08/01/2018
Reinforced Evolutionary Neural Architecture Search
Neural architecture search (NAS) is an important task in network design,...
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07/30/2018
Unsupervised Domain Adaptive Re-Identification: Theory and Practice
We study the problem of unsupervised domain adaptive re-identification (...
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02/01/2018
Elements of Effective Deep Reinforcement Learning towards Tactical Driving Decision Making
Tactical driving decision making is crucial for autonomous driving syste...
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11/10/2017
UCT: Learning Unified Convolutional Networks for Real-time Visual Tracking
Convolutional neural networks (CNN) based tracking approaches have shown...
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04/23/2016
Text Flow: A Unified Text Detection System in Natural Scene Images
The prevalent scene text detection approach follows four sequential step...
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04/15/2016
CNN-RNN: A Unified Framework for Multi-label Image Classification
While deep convolutional neural networks (CNNs) have shown a great succe...
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06/24/2015
Targeting Ultimate Accuracy: Face Recognition via Deep Embedding
Face Recognition has been studied for many decades. As opposed to tradit...
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02/11/2015
Conditional Random Fields as Recurrent Neural Networks
Pixel-level labelling tasks, such as semantic segmentation, play a centr...
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12/25/2012