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20212026
most citedDeepInteraction: 3D Object Detection via Modality Interaction

65 citations · 220 across the 34 of their papers we have counts for

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Showing 2025Show all

7 papers · 1 filter

cs.CV2025

Future-Aware End-to-End Driving: Bidirectional Modeling of Trajectory Planning and Scene Evolution

Bozhou Zhang, Nan Song, Jingyu Li +3

End-to-end autonomous driving methods aim to directly map raw sensor inputs to future driving actions such as planned trajectories, bypassing traditional modular pipelines. While t…

cs.CV2025

Dynamic Novel View Synthesis in High Dynamic Range

Kaixuan Zhang, Zhipeng Xiong, Minxian Li +3

High Dynamic Range Novel View Synthesis (HDR NVS) seeks to learn an HDR 3D model from Low Dynamic Range (LDR) training images captured under conventional imaging conditions. Curren…

cs.CV2025

LMAD: Integrated End-to-End Vision-Language Model for Explainable Autonomous Driving

Nan Song, Bozhou Zhang, Xiatian Zhu +2

Large vision-language models (VLMs) have shown promising capabilities in scene understanding, enhancing the explainability of driving behaviors and interactivity with users. Existi…

cs.CV2025

DeMo++: Motion Decoupling for Autonomous Driving

Bozhou Zhang, Nan Song, Xiatian Zhu +1

Motion forecasting and planning are tasked with estimating the trajectories of traffic agents and the ego vehicle, respectively, to ensure the safety and efficiency of autonomous d…

cs.CV2025

ImagiDrive: A Unified Imagination-and-Planning Framework for Autonomous Driving

Jingyu Li, Bozhou Zhang, Xin Jin +3

Autonomous driving requires rich contextual comprehension and precise predictive reasoning to navigate dynamic and complex environments safely. Vision-Language Models (VLMs) and Dr…

cs.CV2025

RealEngine: Simulating Autonomous Driving in Realistic Context

Junzhe Jiang, Nan Song, Jingyu Li +2

Driving simulation plays a crucial role in developing reliable driving agents by providing controlled, evaluative environments. To enable meaningful assessments, a high-quality dri…

cs.CV2025

TensoFlow: Tensorial Flow-based Sampler for Inverse Rendering

Chun Gu, Xiaofei Wei, Li Zhang +1

Inverse rendering aims to recover scene geometry, material properties, and lighting from multi-view images. Given the complexity of light-surface interactions, importance sampling…