Papers
Meta Omnium: A Benchmark for General-Purpose Learning-To-Learn
Ondrej Bohdal, Yinbing Tian, Yongshuo Zong et al.
Meta-Personalizing Vision-Language Models To Find Named Instances in Video
Chun-Hsiao Yeh, Bryan Russell, Josef Sivic et al.
MetaPortrait: Identity-Preserving Talking Head Generation With Fast Personalized Adaptation
Bowen Zhang, Chenyang Qi, Pan Zhang et al.
Meta-Tuning Loss Functions and Data Augmentation for Few-Shot Object Detection
Berkan Demirel, Orhun Buğra Baran, Ramazan Gokberk Cinbis
MetaViewer: Towards a Unified Multi-View Representation
Ren Wang, Haoliang Sun, Yuling Ma et al.
MethaneMapper: Spectral Absorption Aware Hyperspectral Transformer for Methane Detection
Satish Kumar, Ivan Arevalo, ASM Iftekhar et al.
METransformer: Radiology Report Generation by Transformer With Multiple Learnable Expert Tokens
Zhanyu Wang, Lingqiao Liu, Lei Wang et al.
MHPL: Minimum Happy Points Learning for Active Source Free Domain Adaptation
Fan Wang, Zhongyi Han, Zhiyan Zhang et al.
MIANet: Aggregating Unbiased Instance and General Information for Few-Shot Semantic Segmentation
Yong Yang, Qiong Chen, Yuan Feng et al.
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation
Lukas Hoyer, Dengxin Dai, Haoran Wang et al.
Micron-BERT: BERT-Based Facial Micro-Expression Recognition
Xuan-Bac Nguyen, Chi Nhan Duong, Xin Li et al.
MIME: Human-Aware 3D Scene Generation
Hongwei Yi, Chun-Hao P. Huang, Shashank Tripathi et al.
Mind the Label Shift of Augmentation-Based Graph OOD Generalization
Junchi Yu, Jian Liang, Ran He
Minimizing Maximum Model Discrepancy for Transferable Black-Box Targeted Attacks
Anqi Zhao, Tong Chu, Yahao Liu et al.
Minimizing the Accumulated Trajectory Error To Improve Dataset Distillation
Jiawei Du, Yidi Jiang, Vincent Y. F. Tan et al.
MISC210K: A Large-Scale Dataset for Multi-Instance Semantic Correspondence
Yixuan Sun, Yiwen Huang, Haijing Guo et al.
MIST: Multi-Modal Iterative Spatial-Temporal Transformer for Long-Form Video Question Answering
Difei Gao, Luowei Zhou, Lei Ji et al.
Mitigating Task Interference in Multi-Task Learning via Explicit Task Routing With Non-Learnable Primitives
Chuntao Ding, Zhichao Lu, Shangguang Wang et al.
Mixed Autoencoder for Self-Supervised Visual Representation Learning
Kai Chen, Zhili Liu, Lanqing Hong et al.
MixMAE: Mixed and Masked Autoencoder for Efficient Pretraining of Hierarchical Vision Transformers
Jihao Liu, Xin Huang, Jinliang Zheng et al.
MixNeRF: Modeling a Ray With Mixture Density for Novel View Synthesis From Sparse Inputs
Seunghyeon Seo, Donghoon Han, Yeonjin Chang et al.
MixPHM: Redundancy-Aware Parameter-Efficient Tuning for Low-Resource Visual Question Answering
Jingjing Jiang, Nanning Zheng
MixSim: A Hierarchical Framework for Mixed Reality Traffic Simulation
Simon Suo, Kelvin Wong, Justin Xu et al.
MixTeacher: Mining Promising Labels With Mixed Scale Teacher for Semi-Supervised Object Detection
Liang Liu, Boshen Zhang, Jiangning Zhang et al.
(ML)$^2$P-Encoder: On Exploration of Channel-Class Correlation for Multi-Label Zero-Shot Learning
Ziming Liu, Song Guo, Xiaocheng Lu et al.