Resolving Class Imbalance Problem for LiDAR-based Object Detector by Balanced Gradients and Contextual Ground Truth Sampling

Unified Domain Generalization and Adaptation for Multi-View 3D Object Detection

Just Add $100 More, Augmenting Pseudo-LiDAR Point Cloud for Resolving Class-imbalance Problem

Who Should Have Been Focused: Transferring Attention-based Knowledge from Future Observations for Trajectory Prediction

Text-Driven Prototype Learning for Few-Shot Class-Incremental Learning

Bridging the Domain Gap by Clustering-based Image-Text Graph Matching

Leveraging Inductive Bias in ViT for Medical Image Diagnosis

Zero-Shot Cross-Lingual NER Using Phonemic Representations for Low-Resource Languages

Mitigating the Linguistic Gap with Phonemic Representations for Robust Multilingual Language Understanding

Finetuning Pre-trained Model with Limited Data for LiDAR-based 3D Object Detection by Bridging Domain Gaps