Hongyang Li

Orcid: 0000-0001-9110-5534

Affiliations:

University of Hong Kong
Shanghai AI Laboratory, China
University of California at San Diego, USA

According to our database¹, Hongyang Li authored at least 66 papers between 2015 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Mimic before Reconstruct: Enhancing Masked Autoencoders with Feature Mimicking.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., May, 2024

Delving Into the Devils of Bird's-Eye-View Perception: A Review, Evaluation and Recipe.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

Towards Synergistic, Generalized, and Efficient Dual-System for Robotic Manipulation.

[BibT_eX]

[DOI]

CoRR, 2024

Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation.

[BibT_eX]

[DOI]

CoRR, 2024

Hint-AD: Holistically Aligned Interpretability in End-to-End Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, 2024

NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking.

[BibT_eX]

[DOI]

CoRR, 2024

Learning Manipulation by Predicting Interaction.

[BibT_eX]

[DOI]

CoRR, 2024

Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability.

[BibT_eX]

[DOI]

CoRR, 2024

3D Data Augmentation for Driving Scenes on Camera.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Embodied Understanding of Driving Scenarios.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Fully Sparse 3D Occupancy Prediction.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Generalized Predictive Model for Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Referred by Multi-Modality: A Unified Temporal Transformer for Video Object Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

DriveLM: Driving with Graph Visual Question Answering.

[BibT_eX]

[DOI]

CoRR, 2023

A Survey of Reasoning with Foundation Models.

[BibT_eX]

[DOI]

CoRR, 2023

Open-sourced Data Ecosystem in Autonomous Driving: the Present and Future.

[BibT_eX]

[DOI]

CoRR, 2023

LLM4Drive: A Survey of Large Language Models for Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, 2023

End-to-end Autonomous Driving: Challenges and Frontiers.

[BibT_eX]

[DOI]

CoRR, 2023

Referred by Multi-Modality: A Unified Temporal Transformer for Video Object Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

Road Genome: A Topology Reasoning Benchmark for Scene Understanding in Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, 2023

Topology Reasoning for Driving Scenes.

[BibT_eX]

[DOI]

CoRR, 2023

Sparse Dense Fusion for 3D Object Detection.

[BibT_eX]

[DOI]

CoRR, 2023

Geometric-aware Pretraining for Vision-centric 3D Object Detection.

[BibT_eX]

[DOI]

CoRR, 2023

3D Data Augmentation for Driving Scenes on Camera.

[BibT_eX]

[DOI]

CoRR, 2023

Mimic before Reconstruct: Enhancing Masked Autoencoders with Feature Mimicking.

[BibT_eX]

[DOI]

CoRR, 2023

Policy Pre-training for End-to-end Autonomous Driving via Self-supervised Geometric Modeling.

[BibT_eX]

[DOI]

CoRR, 2023

OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Leveraging Vision-Centric Multi-Modal Expertise for 3D Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Policy Pre-training for Autonomous Driving via Self-supervised Geometric Modeling.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Scene as Occupancy.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Density-invariant Features for Distant Point Cloud Registration.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

DriveAdapter: Breaking the Coupling Barrier of Perception and Planning in End-to-End Autonomous Driving.

[BibT_eX]

[DOI]

Patrick Langechuan Liu

Hongyang Li

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Distilling Focal Knowledge from Imperfect Expert for 3D Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Stare at What You See: Masked Image Modeling without Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Think Twice before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Planning-oriented Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Goal-oriented Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, 2022

Delving into the Devils of Bird's-eye-view Perception: A Review, Evaluation and Recipe.

[BibT_eX]

[DOI]

CoRR, 2022

Level 2 Autonomous Driving on a Single Device: Diving into the Devils of Openpilot.

[BibT_eX]

[DOI]

CoRR, 2022

BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers.

[BibT_eX]

[DOI]

CoRR, 2022

Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

BEVFormer: Learning Bird's-Eye-View Representation from Multi-camera Images via Spatiotemporal Transformers.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

ST-P3: End-to-End Vision-Based Autonomous Driving via Spatial-Temporal Feature Learning.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Align Representations with Base: A New Approach to Self-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Towards Capturing the Temporal Dynamics for Trajectory Prediction: a Coarse-to-Fine Approach.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

2020

Point-Set Anchors for Object Detection, Instance Segmentation and Pose Estimation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Zoom Out-and-In Network with Map Attention Decision for Region Proposal and Object Detection.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2019

Feature Intertwiner for Object Detection.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

Finding Task-Relevant Features for Few-Shot Learning by Category Traversal.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Neural Network Encapsulation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Dual Deep Network for Visual Tracking.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2017

DeepID-Net: Object Detection with Deformable Part Based Convolutional Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2017

CNN for saliency detection with low-level feature integration.

[BibT_eX]

[DOI]

Neurocomputing, 2017

Rethinking Feature Discrimination and Polymerization for Large-scale Recognition.

[BibT_eX]

[DOI]

Yu Liu

Hongyang Li

Xiaogang Wang

CoRR, 2017

Learning Deep Features via Congenerous Cosine Loss for Person Recognition.

[BibT_eX]

[DOI]

Yu Liu

Hongyang Li

Xiaogang Wang

CoRR, 2017

Zoom Out-and-In Network with Recursive Training for Object Proposal.

[BibT_eX]

[DOI]

CoRR, 2017

Do we really need more training data for object localization.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Recurrent Scale Approximation for Object Detection in CNN.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Multi-Bias Non-linear Activation in Deep Neural Networks.

[BibT_eX]

[DOI]

Hongyang Li

Wanli Ouyang

Xiaogang Wang

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Inner and Inter Label Propagation: Salient Object Detection in the Wild.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2015

LCNN: Low-level Feature Embedded CNN for Salient Object Detection.

[BibT_eX]

[DOI]

CoRR, 2015

Learning Deep Representation with Large-Scale Attributes.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Hongyang Li

Timeline

Legend:

Links

Online presence:

On csauthors.net:

Bibliography

Loading...