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20242026
most citedTopology-Aware and Highly Generalizable Deep Reinforcement Learning for Efficient Retrieval in Multi-Deep Storage Systems

3 citations · 3 across the 5 of their papers we have counts for

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cs.CV2026

ODeform: Learning Continuous 4D Motion for Shape Deformation with Neural ODEs

Yordanka Velikova, Mahdi Saleh, Liming Kuang +1

Modeling continuous object deformation is important for many computer vision and robotics tasks, such as manipulation and simulation. Existing approaches rely on learning-based met…

cs.CV2026

Node-RF: Learning Generalized Continuous Space-Time Scene Dynamics with Neural ODE-based NeRFs

Hiran Sarkar, Liming Kuang, Yordanka Velikova +1

Predicting scene dynamics from visual observations is challenging. Existing methods capture dynamics only within observed boundaries failing to extrapolate far beyond the training…