Skip to content
conftrace_

Hongyang Li

66 papers · 2015–2026 · 11 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Jump to papers ↓
+13 more ↓ πŸ—ΊοΈ Taxonomy Completionist (70) 🌍 Conference Polyglot Β· Gold πŸƒ Academic Marathon Β· Half πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ† Grand Slam πŸ”¬ Deep Specialist (24) πŸ‘₯ Mega-Team Β· Squad 🧬 Topic Evolution πŸ† Keyword Champion 🀝 Dynamic Duo (20) 🌈 Renaissance Researcher (6) πŸ”₯ Unstoppable Β· Silver ⚑ Prolific Year Β· Prolific πŸš€ Conference Pioneer πŸ’Ž Century Club Β· Silver πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (265)

Papers

DGGT: Feedforward 4D Reconstruction of Dynamic Driving Scenes using Unposed Images CVPR 2026 FB-4D: Spatial-Temporal Coherent Dynamic 3D Content Generation with Feature Banks WACV 2026 PlannerRFT: Reinforcing Diffusion Planners through Closed-Loop and Sample-Efficient Fine-Tuning CVPR 2026 SceneMaker: Open-set 3D Scene Generation with Decoupled De-occlusion and Pose Estimation Model CVPR 2026 SegDINO3D: 3D Instance Segmentation Empowered by Both Image-Level and Object-Level 2D Features AAAI 2026 SimScale: Learning to Drive via Real-World Simulation at Scale CVPR 2026 Decoupled Diffusion Sparks Adaptive Scene Generation ICCV 2025 Detect Anything 3D in the Wild ICCV 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 Pseudo-Simulation for Autonomous Driving CoRL 2025 Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation NeurIPS 2024 DriveLM: Driving with Graph Visual Question Answering ECCV 2024 Embodied Understanding of Driving Scenarios ECCV 2024 FastMAC: Stochastic Spectral Sampling of Correspondence Graph CVPR 2024 Fully Sparse 3D Occupancy Prediction ECCV 2024 Generalized Predictive Model for Autonomous Driving CVPR 2024 Hint-AD: Holistically Aligned Interpretability in End-to-End Autonomous Driving CoRL 2024 LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving ICLR 2024 Learning Manipulation by Predicting Interaction RSS 2024 LLaVA-Grounding: Grounded Visual Chat with Large Multimodal Models ECCV 2024 NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking NeurIPS 2024 Reasoning Multi-Agent Behavioral Topology for Interactive Autonomous Driving NeurIPS 2024 Referred by Multi-Modality: A Unified Temporal Transformer for Video Object Segmentation AAAI 2024 SPARK: Harnessing Human-Centered Workflows with Biomedical Foundation Models for Drug Discovery IJCAI 2024 TAPTR: Tracking Any Point with Transformers as Detection ECCV 2024 TAPTRv2: Attention-based Position Update Improves Tracking Any Point NeurIPS 2024 Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability NeurIPS 2024 Visual In-Context Prompting CVPR 2024 Visual Point Cloud Forecasting enables Scalable Autonomous Driving CVPR 2024 BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision CVPR 2023 Density-invariant Features for Distant Point Cloud Registration ICCV 2023 Detection Transformer with Stable Matching ICCV 2023 DFA3D: 3D Deformable Attention For 2D-to-3D Feature Lifting ICCV 2023 Distilling Focal Knowledge From Imperfect Expert for 3D Object Detection CVPR 2023 DriveAdapter: Breaking the Coupling Barrier of Perception and Planning in End-to-End Autonomous Driving ICCV 2023 Leveraging Vision-Centric Multi-Modal Expertise for 3D Object Detection NeurIPS 2023 Lite DETR: An Interleaved Multi-Scale Encoder for Efficient DETR CVPR 2023 OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping NeurIPS 2023 Planning-Oriented Autonomous Driving CVPR 2023 Policy Pre-training for Autonomous Driving via Self-supervised Geometric Modeling ICLR 2023 Scene as Occupancy ICCV 2023 Stare at What You See: Masked Image Modeling Without Reconstruction CVPR 2023 Think Twice Before Driving: Towards Scalable Decoders for End-to-End Autonomous Driving CVPR 2023 Translating Images to Road Network: A Non-Autoregressive Sequence-to-Sequence Approach ICCV 2023 Align Representations With Base: A New Approach to Self-Supervised Learning CVPR 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 Towards Capturing the Temporal Dynamics for Trajectory Prediction: a Coarse-to-Fine Approach CoRL 2022 Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline NeurIPS 2022 Exploring intermediate representation for monocular vehicle pose estimation CVPR 2021 Monocular 3D Object Detection: An Extrinsic Parameter Free Approach CVPR 2021 Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space NeurIPS 2021 Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search CVPR 2021 Dynamical System Inspired Adaptive Time Stepping Controller for Residual Network Families AAAI 2020 ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding NeurIPS 2020 Point-Set Anchors for Object Detection, Instance Segmentation and Pose Estimation ECCV 2020 SOGNet: Scene Overlap Graph Network for Panoptic Segmentation 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