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20242026
most citedRetrieval Augmented Generation and Understanding in Vision: A Survey and New Outlook

6 citations · 10 across the 26 of their papers we have counts for

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24 papers · 1 filter

cs.CV2026

Reinforcing Egocentric Spatial Perception in Multimodal Large Language Models via Ego Scene Augmentation

Chi Kit Wong, Ye Pan, Yuanhuiyi Lyu +6

Egocentric Visual Question Answering (VQA) has attracted widespread attention as an important task for enabling Multimodal Large Language Models (MLLMs) to interact with the real w…

cs.CV2026

ObjectStream: Latent Objects as Memory Anchors for Streaming Video Understanding

Mingkang Dong, Muxin Pu, Jie Li +8

Streaming video understanding requires models to continuously retain useful visual evidence before future questions are known. Existing approaches primarily manage the growing visu…

cs.CV2026

OmniCoT: A Benchmark for Global and Multi-Step Panoramic Reasoning

Haocong He, Chenfei Liao, Zichen Wen +13

Multimodal Large Language Models (MLLMs) have demonstrated promising spatial reasoning capabilities, while these abilities remain underexplored in the emerging visual modality of p…

cs.CV2026

Seg-Agent: Test-Time Multimodal Reasoning for Training-Free Language-Guided Segmentation

Chao Hao, Jun Xu, Ji Du +6

Language-guided segmentation transcends the scope limitations of traditional semantic segmentation, enabling models to segment arbitrary target regions based on natural language in…

cs.CV2026

SoulX-LiveAct: Towards Hour-Scale Real-Time Human Animation with Neighbor Forcing and ConvKV Memory

Dingcheng Zhen, Xu Zheng, Ruixin Zhang +4

Autoregressive (AR) diffusion models offer a promising framework for sequential generation tasks such as video synthesis by combining diffusion modeling with causal inference. Alth…

cs.CV2026

DVD: Deterministic Video Depth Estimation with Generative Priors

Hongfei Zhang, Harold Haodong Chen, Chenfei Liao +12

Existing video depth estimation faces a fundamental trade-off: generative models suffer from stochastic geometric hallucinations and scale drift, while discriminative models demand…