3 papers
cs.AI2026
Revisiting Triplet Contrastive Learning for 3D Shape Understanding
Chaoyang Zhu, Zhe Liao, Jiayi Zhang +3
In multi-modal 3D pre-training, aligning 3D shapes, their 2D image counterparts, and language descriptions has made tremendous progress. However, we find that supervision from rend…
cs.LG2026
Diagnosing and Mitigating Perception-Decision Misalignment in Omni-LLMs via Modality Subspace Activation
Hongbo Jiang, Jie Li, Yunhang Shen +2
Omni-Large Language Models (Omni-LLMs) power complex multi-modal reasoning in applications like World Action Models and autonomous agents. However, their strong performance often m…
cs.CV2026
Unleashing MLLMs on the Edge: A Unified Framework for Cross-Modal ReID via Adaptive SVD Distillation
Hongbo Jiang, Jie Li, Xinqi Cai +4
Practical cloud-edge deployment of Cross-Modal Re-identification (CM-ReID) faces challenges due to maintaining a fragmented ecosystem of specialized cloud models for diverse modali…