activity
20232026
most citedFrom GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities

3 citations · 9 across the 8 of their papers we have counts for

collaborators
Showing cs.CVShow all

5 papers · 1 filter

cs.CV2026

Think3D: Thinking with Space for Spatial Reasoning

Zaibin Zhang, Yuhan Wu, Lianjie Jia +10

While Vision-Language Models (VLMs) excel at 2D visual understanding, they remain constrained by 2D-centric paradigm that severely limits genuine 3D spatial reasoning. To bridge th…

cs.CV2024

AD-H: Language-guided Autonomous Driving with Hierarchical Agents

Zaibin Zhang, Talas Fu, Shiyu Tang +4

Language-guided autonomous driving requires bridging a large abstraction gap between high-level natural-language instructions and low-level vehicle control. End-to-end approaches t…

cs.CV2024★ 2 cited

Assessment of Multimodal Large Language Models in Alignment with Human Values

Zhelun Shi, Zhipin Wang, Hongxing Fan +7

Large Language Models (LLMs) aim to serve as versatile assistants aligned with human values, as defined by the principles of being helpful, honest, and harmless (hhh). However, in…

cs.CV2024★ 3 cited

From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities

Chaochao Lu, Chen Qian, Guodong Zheng +33

Multi-modal Large Language Models (MLLMs) have shown impressive abilities in generating reasonable responses with respect to multi-modal contents. However, there is still a wide ga…

cs.CV2023★ 3 cited

BEV-IO: Enhancing Bird's-Eye-View 3D Detection with Instance Occupancy

Zaibin Zhang, Yuanhang Zhang, Lijun Wang +2

A popular approach for constructing bird's-eye-view (BEV) representation in 3D detection is to lift 2D image features onto the viewing frustum space based on explicitly predicted d…