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• Towards Efficient 3D Object Detection with Knowledge Distillation
  2022 · 28 citations
• ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection
  2021 · 9 citations
• PV-RCNN: The Top-Performing LiDAR-only Solutions for 3D Detection / 3D Tracking / Domain Adaptation of Waymo Open Dataset Challenges
  2020 · 8 citations
• An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation
  2019 · 7 citations
• ST3D++: Denoised Self-training for Unsupervised Domain Adaptation on 3D Object Detection
  2021 · 7 citations
• Knowledge Distillation as Efficient Pre-training: Faster Convergence, Higher Data-efficiency, and Better Transferability
  2022 · 6 citations
• Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation
  2021 · 5 citations
• PLA: Language-Driven Open-Vocabulary 3D Scene Understanding
  2022 · 4 citations
• Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces
  2024 · 3 citations
• RegionPLC: Regional Point-Language Contrastive Learning for Open-World 3D Scene Understanding
  2023 · 1 citations
• DODA: Data-oriented Sim-to-Real Domain Adaptation for 3D Semantic Segmentation
  2022
• Lowis3D: Language-Driven Open-World Instance-Level 3D Scene Understanding
  2023