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Home/Authors/Chenglu Wen

Chenglu Wen

Topic trends: 32,543 papers · similarity ≥ 0.4 · year ≥ 2024 · Data sourced from Semantic Scholar

34,598 papers | Abstracts: 31,650 (91.5%) | Citations: 34,598 (100.0%) | arXiv: 26,074 (75.4%)

Built: Feb 15, 2026, 1:13 AM AMS

27

papers

453

total citations

papers (27)

Virtual Sparse Convolution for Multimodal 3D Object Detection

SLOPER4D: A Scene-Aware Dataset for Global 4D Human Pose Estimation in Urban Environments

LiDARCap: Long-Range Marker-Less 3D Human Motion Capture With LiDAR Point Clouds

HSC4D: Human-Centered 4D Scene Capture in Large-Scale Indoor-Outdoor Space Using Wearable IMUs and LiDAR

CIMI4D: A Large Multimodal Climbing Motion Dataset Under Human-Scene Interactions

L4DR: LiDAR-4DRadar Fusion for Weather-Robust 3D Object Detection

SPEAL: Skeletal Prior Embedded Attention Learning for Cross-Source Point Cloud Registration

Commonsense Prototype for Outdoor Unsupervised 3D Object Detection

Sunshine to Rainstorm: Cross-Weather Knowledge Distillation for Robust 3D Object Detection

V2X-R: Cooperative LiDAR-4D Radar Fusion with Denoising Diffusion for 3D Object Detection

RELI11D: A Comprehensive Multimodal Human Motion Dataset and Method

AdaCo: Overcoming Visual Foundation Model Noise in 3D Semantic Segmentation via Adaptive Label Correction

CMD: A Cross Mechanism Domain Adaptation Dataset for 3D Object Detection

Boosting Adversarial Transferability through Augmentation in Hypothesis Space

LightLoc: Learning Outdoor LiDAR Localization at Light Speed

Learning to Detect Objects from Multi-Agent LiDAR Scans without Manual Labels

SP3D: Boosting Sparsely-Supervised 3D Object Detection via Accurate Cross-Modal Semantic Prompts

Seg2Box: 3D Object Detection by Point-Wise Semantics Supervision

LiSA: LiDAR Localization with Semantic Awareness

DiffLoc: Diffusion Model for Outdoor LiDAR Localization

HINTED: Hard Instance Enhanced Detector with Mixed-Density Feature Fusion for Sparsely-Supervised 3D Object Detection

SGLoc: Scene Geometry Encoding for Outdoor LiDAR Localization

ClimbingCap: Multi-Modal Dataset and Method for Rock Climbing in World Coordinate

Pretend Benign: A Stealthy Adversarial Attack by Exploiting Vulnerabilities in Cooperative Perception

Motal: Unsupervised 3D Object Detection by Modality and Task-specific Knowledge Transfer

DiffLO: Semantic-Aware LiDAR Odometry with Diffusion-Based Refinement

CoIn: Contrastive Instance Feature Mining for Outdoor 3D Object Detection with Very Limited Annotations