RGB-Thermal (RGB-T) salient object detection leverages complementary cues from visible and thermal modalities to improve robustness in challenging environments. However, in real-world scenarios, the reliability of each modality is inherently unstable: RGB images degrade under low illumination, motion blur, and noise, w...
Hong-Bo Gao, Zheng-Yu Li, Xue-Ru Nie et al.· 2 citations· ⚡1
Active 3D Gaussian reconstruction fundamentally relies on selecting informative next-best views under limited sensing budgets. Existing active 3DGS methods primarily plan viewpoints according to geometric information gain, treating object-induced hidden regions in the same manner as general unexplored space. Under tigh...
Hong-Bo Gao, Wei Zhang, Ze-Yu Ni et al.· 0 citations
MINT is proposed, which first trains VLA policies to remain functional under missing visual inputs, and selectively supplements missing observations using optical-flow extrapolation or an action-conditioned world model, and withdraws predicted views when they become unreliable.
Ming-Le Jiang, Rui Xu, Yun-Ke Wang et al.· 0 citations
ForeWAM is proposed, a dynamics-conditioned direct-policy WAM that provides predictive context for action generation without decoding future videos, and demonstrates that direct-policy WAMs can retain efficient action prediction while exposing predictive dynamics to the action pathway without explicitly generating futu...
Jiakai Huang, Zhongbo Wu, Siyu Xu et al.· 3 citations
LoSA is a training-free sparse-attention method that fixes a retained-mass threshold of 99% rather than a sparsity ratio: it measures exact block attention masses at one early dense step, keeps, for each head and query block, the smallest key/value block set meeting the threshold, and reuses the frozen block indices fo...
En-Huai Liu, Yun-Ke Wang, Yu-Tong Wang et al.· 0 citations
The real-robot benchmark demonstrates that StellaVLA can use both human/robot demos and human-to-robot (XR) demos as in-context structured demonstration to help VLA model adapt to OOD tasks.
Siyu Xu, Yun-Ke Wang, Zi-Jian Wang et al.· 3 citations
This study reveals the parameter evolution mechanism in VLA adaptation and provides a new path for deploying efficient, robust robotic policies in resource-constrained environments.
Feng Zhang, Tao Huang, Siyu Xu et al.· arXiv.org· 1 citation
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