14 citations · 14 across the 7 of their papers we have counts for
4 papers · 1 filter
APT: Atomic Physical Transitions for Causal Video-Language Understanding
Shang Wu, Haoran Lu, Songling Liu +6
Physical events are not understood by their names alone, but by the causal state changes that compose them. A clip-level label such as "bounce" can be correct while hiding the proc…
Phys4D: Fine-Grained Physics-Consistent 4D Modeling from Video Diffusion
Haoran Lu, Shang Wu, Songling Liu +9
Recent video diffusion models have achieved impressive capabilities as large-scale generative world models. However, these models often struggle with fine-grained physical consiste…
FCoT-VL:Advancing Text-oriented Large Vision-Language Models with Efficient Visual Token Compression
Jianjian Li, Junquan Fan, Feng Tang +6
The rapid success of Vision Large Language Models (VLLMs) often depends on the high-resolution images with abundant visual tokens, which hinders training and deployment efficiency.…
From CLIP to DINO: Visual Encoders Shout in Multi-modal Large Language Models
Dongsheng Jiang, Yuchen Liu, Songlin Liu +6
Multi-modal Large Language Models (MLLMs) have made significant strides in expanding the capabilities of Large Language Models (LLMs) through the incorporation of visual perception…