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08/01/2023
DriveAdapter: Breaking the Coupling Barrier of Perception and Planning in End-to-End Autonomous Driving
End-to-end autonomous driving aims to build a fully differentiable syste...
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07/19/2023
Density-invariant Features for Distant Point Cloud Registration
Registration of distant outdoor LiDAR point clouds is crucial to extendi...
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06/29/2023
End-to-end Autonomous Driving: Challenges and Frontiers
The autonomous driving community has witnessed a rapid growth in approac...
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06/05/2023
Scene as Occupancy
Human driver can easily describe the complex traffic scene by visual sys...
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05/25/2023
Referred by Multi-Modality: A Unified Temporal Transformer for Video Object Segmentation
Recently, video object segmentation (VOS) referred by multi-modal signal...
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05/10/2023
Think Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving
End-to-end autonomous driving has made impressive progress in recent yea...
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04/09/2023
Sparse Dense Fusion for 3D Object Detection
With the prevalence of multimodal learning, camera-LiDAR fusion has gain...
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04/06/2023
Geometric-aware Pretraining for Vision-centric 3D Object Detection
Multi-camera 3D object detection for autonomous driving is a challenging...
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03/18/2023
3D Data Augmentation for Driving Scenes on Camera
Driving scenes are extremely diverse and complicated that it is impossib...
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03/09/2023
Mimic before Reconstruct: Enhancing Masked Autoencoders with Feature Mimicking
Masked Autoencoders (MAE) have been popular paradigms for large-scale vi...
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01/03/2023
Policy Pre-training for End-to-end Autonomous Driving via Self-supervised Geometric Modeling
Witnessing the impressive achievements of pre-training techniques on lar...
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12/20/2022
Goal-oriented Autonomous Driving
Modern autonomous driving system is characterized as modular tasks in se...
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11/18/2022
BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision
We present a novel bird's-eye-view (BEV) detector with perspective super...
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11/16/2022
Stare at What You See: Masked Image Modeling without Reconstruction
Masked Autoencoders (MAE) have been prevailing paradigms for large-scale...
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10/11/2022
DCL-Net: Deep Correspondence Learning Network for 6D Pose Estimation
Establishment of point correspondence between camera and object coordina...
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07/15/2022
ST-P3: End-to-end Vision-based Autonomous Driving via Spatial-Temporal Feature Learning
Many existing autonomous driving paradigms involve a multi-stage discret...
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06/16/2022
Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline
Current end-to-end autonomous driving methods either run a controller ba...
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04/30/2022
HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding
One essential task for autonomous driving is to encode the information o...
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03/31/2022
BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers
3D visual perception tasks, including 3D detection and map segmentation ...
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11/14/2021
Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space
As a basic component of SE(3)-equivariant deep feature learning, steerab...
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06/30/2021
Monocular 3D Object Detection: An Extrinsic Parameter Free Approach
Monocular 3D object detection is an important task in autonomous driving...
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01/27/2021
Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search
Most differentiable neural architecture search methods construct a super...
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11/17/2020
Exploring Intermediate Representation for Monocular Vehicle Pose Estimation
We present a new learning-based approach to recover egocentric 3D vehicl...
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10/13/2020
ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding
Neural architecture search (NAS) aims to produce the optimal sparse solu...
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07/06/2020
Point-Set Anchors for Object Detection, Instance Segmentation and Pose Estimation
A recent approach for object detection and human pose estimation is to r...
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11/23/2019
Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families
The correspondence between residual networks and dynamical systems motiv...
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11/18/2019
SOGNet: Scene Overlap Graph Network for Panoptic Segmentation
The panoptic segmentation task requires a unified result from semantic a...
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05/27/2019
Finding Task-Relevant Features for Few-Shot Learning by Category Traversal
Few-shot learning is an important area of research. Conceptually, humans...
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03/28/2019
Feature Intertwiner for Object Detection
A well-trained model should classify objects with a unanimous score for ...
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11/05/2018
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Gliomas are the most common primary brain malignancies, with different d...
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08/11/2018
Neural Network Encapsulation
A capsule is a collection of neurons which represents different variants...
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10/02/2017
Rethinking Feature Discrimination and Polymerization for Large-scale Recognition
Feature matters. How to train a deep network to acquire discriminative f...
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09/13/2017
Zoom Out-and-In Network with Map Attention Decision for Region Proposal and Object Detection
In this paper, we propose a zoom-out-and-in network for generating objec...
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07/29/2017
Recurrent Scale Approximation for Object Detection in CNN
Since convolutional neural network (CNN) lacks an inherent mechanism to ...
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02/22/2017
Learning Deep Features via Congenerous Cosine Loss for Person Recognition
Person recognition aims at recognizing the same identity across time and...
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12/19/2016
Dual Deep Network for Visual Tracking
Visual tracking addresses the problem of identifying and localizing an u...
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04/03/2016
Multi-Bias Non-linear Activation in Deep Neural Networks
As a widely used non-linear activation, Rectified Linear Unit (ReLU) sep...
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05/27/2015