Hongyang Li

62 papers · 2015–2026 · 11 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) 🏃 Academic Marathon (11) 🐝 Cross-Pollinator (9) 🌈 Renaissance Researcher (8) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (65) 🤝 Dynamic Duo (20) 🏆 Keyword Champion 🔬 Deep Specialist (18) 🏆 Grand Slam 👥 Mega-Team (23) 🧬 Topic Evolution 🚀 Conference Pioneer ⚡ Prolific Year (7) 🔥 Unstoppable (12) 🗃️ Keyword Collector (227) 💎 Century Club (61) 📈 Trend Setter

Conferences

CVPR (15) ECCV (11) ICCV (11) NIPS (10) AAAI (4) CORL (3) ICLR (3) RSS (2) ICML (1) IJCAI (1) WACV (1)

Top co-authors

Li Chen (20) Yu Qiao (15) Junchi Yan (12) Chonghao Sima (9) Shilong Liu (8) Lei Zhang (8) Tianyu Li (8) Feng Li (7) Jia Zeng (7) Tianhe Ren (7)

Research topics

Keywords

autonomous driving (12) trajectory prediction (6) object detection (5) motion planning (4) representation learning (4) 3d object detection (4) knowledge distillation (3) point cloud (3) end-to-end autonomous driving (3) feature extraction (3) deformable attention (3) bird's eye view (3) encoder-decoder architecture (3) autoregressive generation (2) contrastive learning (2) model compression (2) metric learning (2) transformer architecture (2) video prediction (2) feature alignment (2)

Papers

FB-4D: Spatial-Temporal Coherent Dynamic 3D Content Generation with Feature Banks WACV 2026

SegDINO3D: 3D Instance Segmentation Empowered by Both Image-Level and Object-Level 2D Features AAAI 2026

Decoupled Diffusion Sparks Adaptive Scene Generation ICCV 2025

Detect Anything 3D in the Wild ICCV 2025

Pseudo-Simulation for Autonomous Driving CORL 2025

ETA: Efficiency through Thinking Ahead, A Dual Approach to Self-Driving with Large Models ICCV 2025

Learning to Act Anywhere with Task-centric Latent Actions RSS 2025

Fully Sparse 3D Occupancy Prediction ECCV 2024

TAPTR: Tracking Any Point with Transformers as Detection ECCV 2024

Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation NIPS 2024

Hint-AD: Holistically Aligned Interpretability in End-to-End Autonomous Driving CORL 2024

Learning Manipulation by Predicting Interaction RSS 2024

SPARK: Harnessing Human-Centered Workflows with Biomedical Foundation Models for Drug Discovery IJCAI 2024

Referred by Multi-Modality: A Unified Temporal Transformer for Video Object Segmentation AAAI 2024

LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving ICLR 2024

Embodied Understanding of Driving Scenarios ECCV 2024

NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking NIPS 2024

Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability NIPS 2024

TAPTRv2: Attention-based Position Update Improves Tracking Any Point NIPS 2024

Reasoning Multi-Agent Behavioral Topology for Interactive Autonomous Driving NIPS 2024

Generalized Predictive Model for Autonomous Driving CVPR 2024

FastMAC: Stochastic Spectral Sampling of Correspondence Graph CVPR 2024

Visual Point Cloud Forecasting enables Scalable Autonomous Driving CVPR 2024

Visual In-Context Prompting CVPR 2024

DriveLM: Driving with Graph Visual Question Answering ECCV 2024

LLaVA-Grounding: Grounded Visual Chat with Large Multimodal Models ECCV 2024

Policy Pre-training for Autonomous Driving via Self-supervised Geometric Modeling ICLR 2023

OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping NIPS 2023

Leveraging Vision-Centric Multi-Modal Expertise for 3D Object Detection NIPS 2023

BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision CVPR 2023

Distilling Focal Knowledge From Imperfect Expert for 3D Object Detection CVPR 2023

Think Twice Before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving CVPR 2023

Stare at What You See: Masked Image Modeling Without Reconstruction CVPR 2023

Planning-Oriented Autonomous Driving CVPR 2023

Lite DETR: An Interleaved Multi-Scale Encoder for Efficient DETR CVPR 2023

Scene as Occupancy ICCV 2023

Translating Images to Road Network: A Non-Autoregressive Sequence-to-Sequence Approach ICCV 2023

Density-invariant Features for Distant Point Cloud Registration ICCV 2023

DFA3D: 3D Deformable Attention For 2D-to-3D Feature Lifting ICCV 2023

DriveAdapter: Breaking the Coupling Barrier of Perception and Planning in End-to-End Autonomous Driving ICCV 2023

Detection Transformer with Stable Matching ICCV 2023

Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline NIPS 2022

BEVFormer: Learning Bird’s-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers ECCV 2022

DCL-Net: Deep Correspondence Learning Network for 6D Pose Estimation ECCV 2022

PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark ECCV 2022

ST-P3: End-to-End Vision-Based Autonomous Driving via Spatial-Temporal Feature Learning ECCV 2022

Align Representations With Base: A New Approach to Self-Supervised Learning CVPR 2022

Towards Capturing the Temporal Dynamics for Trajectory Prediction: a Coarse-to-Fine Approach CORL 2022

Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search CVPR 2021

Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space NIPS 2021

Exploring intermediate representation for monocular vehicle pose estimation CVPR 2021

Monocular 3D Object Detection: An Extrinsic Parameter Free Approach CVPR 2021

Point-Set Anchors for Object Detection, Instance Segmentation and Pose Estimation ECCV 2020

ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding NIPS 2020

SOGNet: Scene Overlap Graph Network for Panoptic Segmentation AAAI 2020

Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families AAAI 2020

Feature Intertwiner for Object Detection ICLR 2019

Finding Task-Relevant Features for Few-Shot Learning by Category Traversal CVPR 2019

Neural Network Encapsulation ECCV 2018

Recurrent Scale Approximation for Object Detection in CNN ICCV 2017

Multi-Bias Non-linear Activation in Deep Neural Networks ICML 2016

Learning Deep Representation With Large-Scale Attributes ICCV 2015