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20232026
most citedSDVRF: Sparse-to-Dense Voxel Region Fusion for Multi-modal 3D Object Detection

1 citations · 1 across the 5 of their papers we have counts for

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cs.CV2026

Gaussian-JEPA: Joint-Embedding Predictive Learning for 3D Gaussian Splats

Bin Ren, Qi Ma, Yue Li +7

3D Gaussian Splatting (3DGS) represents 3D content with anisotropic primitives that jointly encode geometry and appearance. Fixed-budget encoders consume sampled observations of Ga…

cs.CV2025

Chorus: Multi-Teacher Pretraining for Holistic 3D Gaussian Scene Encoding

Yue Li, Qi Ma, Runyi Yang +8

While 3DGS has emerged as a high-fidelity scene representation, encoding rich, general-purpose features directly from its primitives remains under-explored. We address this gap by…

cs.CV2025

EarthMind: Leveraging Cross-Sensor Data for Advanced Earth Observation Interpretation with a Unified Multimodal LLM

Yan Shu, Bin Ren, Zhitong Xiong +5

Earth Observation (EO) data analysis is vital for monitoring environmental and human dynamics. Recent Multimodal Large Language Models (MLLMs) show potential in EO understanding bu…

cs.CV2024

ObjectRelator: Enabling Cross-View Object Relation Understanding Across Ego-Centric and Exo-Centric Perspectives

Yuqian Fu, Runze Wang, Bin Ren +6

Bridging the gap between ego-centric and exo-centric views has been a long-standing question in computer vision. In this paper, we focus on the emerging Ego-Exo object corresponden…

cs.CV2023★ 1 cited

SDVRF: Sparse-to-Dense Voxel Region Fusion for Multi-modal 3D Object Detection

Binglu Ren, Jianqin Yin

In the perception task of autonomous driving, multi-modal methods have become a trend due to the complementary characteristics of LiDAR point clouds and image data. However, the pe…