15 citations · 22 across the 10 of their papers we have counts for
10 papers
Adaptive Spot-Guided Transformer for Consistent Local Feature Matching
Jiahuan Yu, Jiahao Chang, Jianfeng He +2
Local feature matching aims at finding correspondences between a pair of images. Although current detector-free methods leverage Transformer architecture to obtain an impressive pe…
Generalization in Visual Reinforcement Learning with the Reward Sequence Distribution
Jie Wang, Rui Yang, Zijie Geng +7
Generalization in partially observed markov decision processes (POMDPs) is critical for successful applications of visual reinforcement learning (VRL) in real scenarios. A widely u…
Effective Multimodal Reinforcement Learning with Modality Alignment and Importance Enhancement
Jinming Ma, Feng Wu, Yingfeng Chen +2
Many real-world applications require an agent to make robust and deliberate decisions with multimodal information (e.g., robots with multi-sensory inputs). However, it is very chal…
Characterization of loss mechanisms in a fluxonium qubit
Hantao Sun, Feng Wu, Hsiang-Sheng Ku +9
Using a fluxonium qubit with in situ tunability of its Josephson energy, we characterize its energy relaxation at different flux biases as well as different Josephson energy values…
Learning Cut Selection for Mixed-Integer Linear Programming via Hierarchical Sequence Model
Zhihai Wang, Xijun Li, Jie Wang +5
Cutting planes (cuts) are important for solving mixed-integer linear programs (MILPs), which formulate a wide range of important real-world applications. Cut selection -- which aim…
A filtering technique for the matrix power series being near-sparse
Feng Wu, Li Zhu, Yuelin Zhao +1
This work presents a new algorithm for matrix power series which is near-sparse, that is, there are a large number of near-zero elements in it. The proposed algorithm uses a filter…