2 papers
cs.CV2026
Think Sparse, Predict Dense: Continuous Thought Machines for Image Super-Resolution
Zekai Shi
Continuous Thought Machines introduce an internal temporal dimension in which neuron-level histories and synchronization-derived representations evolve over a sequence of thought t…
cs.CV2025
Do Blind Spots Matter for Word-Referent Mapping? A Computational Study with Infant Egocentric Video
Zekai Shi, Zhixi Cai, Kalin Stefanov
Typically, children start to learn their first words between 6 and 9 months, linking spoken utterances to their visual referents. Without prior knowledge, a word encountered for th…