output
19992026
most citedUnderwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding

1k citations

772 papers

cs.CV2026

IntentQA: Intent Question Answering in Videos by Cognitive Context Reasoning

Jiapeng Li, Ping Wei, Wenjuan Han +2

Video understanding requires intelligent agents to transcend mere recognition of visual facts and comprehend the underlying intents behind human actions (often termed the "dark mat…

cs.LG2026

Domain Knowledge Based Temporal-Spatial Graph Convolution Network for ECG Recognition

Wenting Ma, Zhipeng Zhang, Xiaohang Yuan +6

In light of strides in Arti cial Intelligence (AI) and its wide spread application, challenges persist in the interpretability of AI models, particularly within specialized domains…

cs.LG2026★ 1 cited

From Pixels to Temporal Correlations: Learning Informative Representations for Reinforcement Learning Pre-training

Jinwen Wang, Youfang Lin, Xiaobo Hu +4

Unsupervised pre-training on large-scale datasets has demonstrated significant potential for improving the sample efficiency and performance of Reinforcement Learning (RL). Given t…

cs.LG2026

Task-Relevant Representation Decoupling for Visual Reinforcement Learning Generalization

Jinwen Wang, Youfang Lin, Xiaobo Hu +4

Visual Reinforcement Learning (VRL) has achieved considerable success in solving control tasks. However, generalizing learned policies to new environments remains a major challenge…

cs.LG2026

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments

Feng Liu, Kejia Li, Zhiwei Yang +5

Although Global Navigation Satellite Systems (GNSS) provide a general solution for bike tracking outdoors, there still exist complex riding environments where only inertial navigat…

cs.DS2026

Multi-Objective Submodular Maximization with Differential Privacy

Ting Hou, Yanhao Wang, Yiping Wang +3

In this paper, we study multi-objective submodular maximization (MOSM) subject to a cardinality constraint under differential privacy (DP). Specifically, we aim to select a set of…