Papers
MFT: Long-Term Tracking of Every Pixel
Michal Neoral, Jonáš Šerých, Jiří Matas
MGM-AE: Self-Supervised Learning on 3D Shape Using Mesh Graph Masked Autoencoders
Zhangsihao Yang, Kaize Ding, Huan Liu et al.
MICS: Midpoint Interpolation To Learn Compact and Separated Representations for Few-Shot Class-Incremental Learning
Solang Kim, Yuho Jeong, Joon Sung Park et al.
MIDAS: Mixing Ambiguous Data With Soft Labels for Dynamic Facial Expression Recognition
Ryosuke Kawamura, Hideaki Hayashi, Noriko Takemura et al.
Mini but Mighty: Finetuning ViTs With Mini Adapters
Imad Eddine Marouf, Enzo Tartaglione, Stéphane Lathuilière
Minimizing Layerwise Activation Norm Improves Generalization in Federated Learning
M. Yashwanth, Gaurav Kumar Nayak, Harsh Rangwani et al.
Mining and Unifying Heterogeneous Contrastive Relations for Weakly-Supervised Actor-Action Segmentation
Bin Duan, Hao Tang, Changchang Sun et al.
Missing Modality Robustness in Semi-Supervised Multi-Modal Semantic Segmentation
Harsh Maheshwari, Yen-Cheng Liu, Zsolt Kira
MIST: Medical Image Segmentation Transformer With Convolutional Attention Mixing (CAM) Decoder
Md Motiur Rahman, Shiva Shokouhmand, Smriti Bhatt et al.
MITFAS: Mutual Information Based Temporal Feature Alignment and Sampling for Aerial Video Action Recognition
Ruiqi Xian, Xijun Wang, Dinesh Manocha
Mitigate Domain Shift by Primary-Auxiliary Objectives Association for Generalizing Person ReID
Qilei Li, Shaogang Gong
MIVC: Multiple Instance Visual Component for Visual-Language Models
Wenyi Wu, Qi Li, Wenliang Zhong et al.
Mixing Gradients in Neural Networks as a Strategy To Enhance Privacy in Federated Learning
Shaltiel Eloul, Fran Silavong, Sanket Kamthe et al.
MixtureGrowth: Growing Neural Networks by Recombining Learned Parameters
Chau Pham, Piotr Teterwak, Soren Nelson et al.
MobileNVC: Real-Time 1080p Neural Video Compression on a Mobile Device
Ties van Rozendaal, Tushar Singhal, Hoang Le et al.
Modality-Aware Representation Learning for Zero-Shot Sketch-Based Image Retrieval
Eunyi Lyou, Doyeon Lee, Jooeun Kim et al.
Monocular 3D Object Detection With LiDAR Guided Semi Supervised Active Learning
Aral Hekimoglu, Michael Schmidt, Alvaro Marcos-Ramiro
MonoProb: Self-Supervised Monocular Depth Estimation With Interpretable Uncertainty
Rémi Marsal, Florian Chabot, Angélique Loesch et al.
MOPA: Modular Object Navigation With PointGoal Agents
Sonia Raychaudhuri, Tommaso Campari, Unnat Jain et al.
MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning
Julien Nicolas, Florent Chiaroni, Imtiaz Ziko et al.
MoRF: Mobile Realistic Fullbody Avatars From a Monocular Video
Renat Bashirov, Alexey Larionov, Evgeniya Ustinova et al.
MotionAGFormer: Enhancing 3D Human Pose Estimation With a Transformer-GCNFormer Network
Soroush Mehraban, Vida Adeli, Babak Taati
MotionGPT: Human Motion Synthesis With Improved Diversity and Realism via GPT-3 Prompting
Jose Ribeiro-Gomes, Tianhui Cai, Zoltán Á. Milacski et al.
Motion Matters: Neural Motion Transfer for Better Camera Physiological Measurement
Akshay Paruchuri, Xin Liu, Yulu Pan et al.
Movie Genre Classification by Language Augmentation and Shot Sampling
Zhongping Zhang, Yiwen Gu, Bryan A. Plummer et al.