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20242026
most citedM2DA: Multi-Modal Fusion Transformer Incorporating Driver Attention for Autonomous Driving

6 citations · 6 across the 4 of their papers we have counts for

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cs.CV2026

SenseNova-U1.5: Towards Native Unified Visual Intelligence

Haiwen Diao, Jiahao Wang, Chenjing Ding +62

We launch SenseNova-U1.5, an 8B-MoT native unified multimodal model that understands, reasons about, and generates visual content within an encoder-free and VAE-free architecture.…

cs.CV2026

ACPO: Counteracting Likelihood Displacement in Vision-Language Alignment with Asymmetric Constraints

Kaili Huang, Hongming Zhang, Rui Shen +4

While Direct Preference Optimization (DPO) has become the de facto approach for aligning Large Vision-Language Models (LVLMs), it suffers from Likelihood Displacement, where the pr…

cs.CV2026

I2E: From Image Pixels to Actionable Interactive Environments for Text-Guided Image Editing

Jinghan Yu, Junhao Xiao, Chenyu Zhu +9

Existing text-guided image editing methods primarily rely on end-to-end pixel-level inpainting paradigm. Despite its success in simple scenarios, this paradigm still significantly…

cs.CV2025

InteractiveOmni: A Unified Omni-modal Model for Audio-Visual Multi-turn Dialogue

Wenwen Tong, Hewei Guo, Dongchuan Ran +23

We introduce InteractiveOmni, a unified and open-source omni-modal large language model for audio-visual multi-turn interaction, ranging from 4B to 8B parameters, designed to lead…

cs.CV20246 cited

M2DA: Multi-Modal Fusion Transformer Incorporating Driver Attention for Autonomous Driving

Dongyang Xu, Haokun Li, Qingfan Wang +3

End-to-end autonomous driving has witnessed remarkable progress. However, the extensive deployment of autonomous vehicles has yet to be realized, primarily due to 1) inefficient mu…