Lanqing Hong

Empowering Sparse-Input Neural Radiance Fields with Dual-Level Semantic Guidance from Dense Novel Views AAAI 2026 MagicDrive3D: Controllable 3D Generation for Any-View Rendering in Street Scenes WACV 2026 Multi-Faceted Attack: Exposing Cross-Model Vulnerabilities in Defense-Equipped Vision-Language Models AAAI 2026 VGGT-Det: Mining VGGT Internal Priors for Sensor-Geometry-Free Multi-View Indoor 3D Object Detection CVPR 2026 Automated Evaluation of Large Vision-Language Models on Self-Driving Corner Cases WACV 2025 Certifying Language Model Robustness with Fuzzed Randomized Smoothing: An Efficient Defense Against Backdoor Attacks ICLR 2025 Corrupted but Not Broken: Understanding and Mitigating the Negative Impacts of Corrupted Data in Visual Instruction Tuning EMNLP 2025 EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions CVPR 2025 Getting More Juice Out of Your Data: Hard Pair Refinement Enhances Visual-Language Models Without Extra Data NAACL 2025 G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model ICLR 2025 MagicDrive-V2: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control ICCV 2025 Mixture of insighTful Experts (MoTE): The Synergy of Reasoning Chains and Expert Mixtures in Self-Alignment ACL 2025 Self-Error-Instruct: Generalizing from Errors for LLMs Mathematical Reasoning ACL 2025 Taming Video Diffusion Prior with Scene-Grounding Guidance for 3D Gaussian Splatting from Sparse Inputs CVPR 2025 TrackDiffusion: Tracklet-Conditioned Video Generation via Diffusion Models WACV 2025 CoSafe: Evaluating Large Language Model Safety in Multi-Turn Dialogue Coreference EMNLP 2024 CVT-xRF: Contrastive In-Voxel Transformer for 3D Consistent Radiance Fields from Sparse Inputs CVPR 2024 DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception CVPR 2024 Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models NeurIPS 2024 "Eyes Closed, Safety On: Protecting Multimodal LLMs via Image-to-Text Transformation" ECCV 2024 Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis ICLR 2024 GeoDiffusion: Text-Prompted Geometric Control for Object Detection Data Generation ICLR 2024 G-NAS: Generalizable Neural Architecture Search for Single Domain Generalization Object Detection AAAI 2024 Implicit Concept Removal of Diffusion Models ECCV 2024 LLMs Can Evolve Continually on Modality for X-Modal Reasoning NeurIPS 2024 MagicDrive: Street View Generation with Diverse 3D Geometry Control ICLR 2024 ConQueR: Query Contrast Voxel-DETR for 3D Object Detection CVPR 2023 ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-Real Novel View Synthesis via Contrastive Learning CVPR 2023 DDP: Diffusion Model for Dense Visual Prediction ICCV 2023 DIFFGUARD: Semantic Mismatch-Guided Out-of-Distribution Detection Using Pre-Trained Diffusion Models ICCV 2023 DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation NeurIPS 2023 Fair-CDA: Continuous and Directional Augmentation for Group Fairness AAAI 2023 MetaBEV: Solving Sensor Failures for 3D Detection and Map Segmentation ICCV 2023 Mixed Autoencoder for Self-Supervised Visual Representation Learning CVPR 2023 Task-customized Masked Autoencoder via Mixture of Cluster-conditional Experts ICLR 2023 CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving ECCV 2022 DevNet: Self-Supervised Monocular Depth Learning via Density Volume Construction ECCV 2022 Generalizing Few-Shot NAS with Gradient Matching ICLR 2022 Generative Negative Text Replay for Continual Vision-Language Pretraining ECCV 2022 How Well Does Self-Supervised Pre-Training Perform with Streaming Data? ICLR 2022 Memory Replay with Data Compression for Continual Learning ICLR 2022 OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization CVPR 2022 Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms AAAI 2022 Self-Supervised Aggregation of Diverse Experts for Test-Agnostic Long-Tailed Recognition NeurIPS 2022 Task-Customized Self-Supervised Pre-training with Scalable Dynamic Routing AAAI 2022 Adversarial Robustness for Unsupervised Domain Adaptation ICCV 2021 DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation AAAI 2021 MetaAugment: Sample-Aware Data Augmentation Policy Learning AAAI 2021 MultiSiam: Self-Supervised Multi-Instance Siamese Representation Learning for Autonomous Driving ICCV 2021 NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization ICCV 2021 ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-Supervised Continual Learning CVPR 2021 Variational (Gradient) Estimate of the Score Function in Energy-based Latent Variable Models ICML 2021