Papers
Modeling Knowledge Graphs with Composite Reasoning
Wanyun Cui, Linqiu Zhang
Modeling Stereo-Confidence out of the End-to-End Stereo-Matching Network via Disparity Plane Sweep
Jae Young Lee, Woonghyun Ka, Jaehyun Choi et al.
Moderate Message Passing Improves Calibration: A Universal Way to Mitigate Confidence Bias in Graph Neural Networks
Min Wang, Hao Yang, Jincai Huang et al.
ModWaveMLP: MLP-Based Mode Decomposition and Wavelet Denoising Model to Defeat Complex Structures in Traffic Forecasting
Ke Sun, Pei Liu, Pengfei Li et al.
Molecular Optimization Model with Patentability Constraint
Sally Turutov, Kira Radinsky
MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts
Haoqiang Guo, Sendong Zhao, Haochun Wang et al.
Monitoring of Perception Systems: Deterministic, Probabilistic, and Learning-Based Fault Detection and Identification (Abstract Reprint)
Pasquale Antonante, Heath Nilsen, Luca Carlone
Mono3DVG: 3D Visual Grounding in Monocular Images
Yang Zhan, Yuan Yuan, Zhitong Xiong
Monocular 3D Hand Mesh Recovery via Dual Noise Estimation
Hanhui Li, Xiaojian Lin, Xuan Huang et al.
Monte Carlo Tree Search in the Presence of Transition Uncertainty
Farnaz Kohankhaki, Kiarash Aghakasiri, Hongming Zhang et al.
Moral Uncertainty and the Problem of Fanaticism
Jazon Szabo, Natalia Criado, Jose Such et al.
MorphVAE: Advancing Morphological Design of Voxel-Based Soft Robots with Variational Autoencoders
Junru Song, Yang Yang, Wei Peng et al.
Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning
Li Sun, Zhenhao Huang, Zixi Wang et al.
Motion Deblurring via Spatial-Temporal Collaboration of Frames and Events
Wen Yang, Jinjian Wu, Jupo Ma et al.
MotionGPT: Finetuned LLMs Are General-Purpose Motion Generators
Yaqi Zhang, Di Huang, Bin Liu et al.
MotionMix: Weakly-Supervised Diffusion for Controllable Motion Generation
Nhat M. Hoang, Kehong Gong, Chuan Guo et al.
MRMLREC: A Two-Stage Approach for Addressing Data Sparsity in MOOC Video Recommendation (Student Abstract)
Ye Zhang, Yanqi Gao, Yupeng Zhou et al.
MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting
Wanlin Cai, Yuxuan Liang, Xianggen Liu et al.
msLPCC: A Multimodal-Driven Scalable Framework for Deep LiDAR Point Cloud Compression
Miaohui Wang, Runnan Huang, Hengjin Dong et al.
Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces
Xiaotian Hao, Jianye Hao, Chenjun Xiao et al.
Multi-Architecture Multi-Expert Diffusion Models
Yunsung Lee, JinYoung Kim, Hyojun Go et al.
Multichannel AV-wav2vec2: A Framework for Learning Multichannel Multi-Modal Speech Representation
Qiushi Zhu, Jie Zhang, Yu Gu et al.
Multi-Class Support Vector Machine with Maximizing Minimum Margin
Feiping Nie, Zhezheng Hao, Rong Wang
Multi-Constellation-Inspired Single-Shot Global LiDAR Localization
Tongzhou Zhang, Gang Wang, Yu Chen et al.