3 papers
eess.IV2025
CAMP-VQA: Caption-Embedded Multimodal Perception for No-Reference Quality Assessment of Compressed Video
Xinyi Wang, Angeliki Katsenou, Junxiao Shen +1
The prevalence of user-generated content (UGC) on platforms such as YouTube and TikTok has rendered no-reference (NR) perceptual video quality assessment (VQA) vital for optimizing…
cs.CV2025
ST-Think: How Multimodal Large Language Models Reason About 4D Worlds from Ego-Centric Videos
Peiran Wu, Yunze Liu, Miao Liu +1
Humans excel at spatial-temporal reasoning, effortlessly interpreting dynamic visual events from an egocentric viewpoint. However, whether multimodal large language models (MLLMs)…
cs.CV2025
VideoMAP: Toward Scalable Mamba-based Video Autoregressive Pretraining
Yunze Liu, Peiran Wu, Cheng Liang +3
Recent Mamba-based architectures for video understanding demonstrate promising computational efficiency and competitive performance, yet struggle with overfitting issues that hinde…