Hongyang Li
62 papers · 2015–2026 · 11 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+15 more ↓ Show less ↑
π Cross-Pollinator (9) π Conference Polyglot (11) π§ Keyword Pioneer π Academic Marathon (11) π Renaissance Researcher (8)
π
Renaissance Researcher
(8)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(65)
π€
Dynamic Duo
(20)
π
Keyword Champion
π¬
Deep Specialist
(18)
π
Grand Slam
π₯
Mega-Team
(23)
π§¬
Topic Evolution
π
Conference Pioneer
β‘
Prolific Year
(7)
π₯
Unstoppable
(12)
ποΈ
Keyword Collector
(227)
π
Century Club
(61)
π
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
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 Birdβs-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