Beyond Subspace Isolation: Many-to-Many Transformer for Light Field Image Super-resolution

no code implementations • 1 Jan 2024 • Zeke Zexi Hu, Xiaoming Chen, Vera Yuk Ying Chung, Yiran Shen

The effective extraction of spatial-angular features plays a crucial role in light field image super-resolution (LFSR) tasks, and the introduction of convolution and Transformers leads to significant improvement in this area.

Image Super-Resolution

Towards Understanding Chinese Checkers with Heuristics, Monte Carlo Tree Search, and Deep Reinforcement Learning

no code implementations • 5 Mar 2019 • Ziyu Liu, Meng Zhou, Weiqing Cao, Qiang Qu, Henry Wing Fung Yeung, Vera Yuk Ying Chung

The game of Chinese Checkers is a challenging traditional board game of perfect information that differs from other traditional games in two main aspects: first, unlike Chess, all checkers remain indefinitely in the game and hence the branching factor of the search tree does not decrease as the game progresses; second, unlike Go, there are also no upper bounds on the depth of the search tree since repetitions and backward movements are allowed.

Reinforcement Learning (RL)