Papers
Manifold Alignment for Semantically Aligned Style Transfer
Jing Huo, Shiyin Jin, Wenbin Li et al.
Manifold Matching via Deep Metric Learning for Generative Modeling
Mengyu Dai, Haibin Hang
Matching in the Dark: A Dataset for Matching Image Pairs of Low-Light Scenes
Wenzheng Song, Masanori Suganuma, Xing Liu et al.
MBA-VO: Motion Blur Aware Visual Odometry
Peidong Liu, Xingxing Zuo, Viktor Larsson et al.
mDALU: Multi-Source Domain Adaptation and Label Unification With Partial Datasets
Rui Gong, Dengxin Dai, Yuhua Chen et al.
MDETR - Modulated Detection for End-to-End Multi-Modal Understanding
Aishwarya Kamath, Mannat Singh, Yann LeCun et al.
Mean Shift for Self-Supervised Learning
Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash
MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning
Sonia Baee, Erfan Pakdamanian, Inki Kim et al.
Membership Inference Attacks Are Easier on Difficult Problems
Avital Shafran, Shmuel Peleg, Yedid Hoshen
Me-Momentum: Extracting Hard Confident Examples From Noisily Labeled Data
Yingbin Bai, Tongliang Liu
Memory-Augmented Dynamic Neural Relational Inference
Dong Gong, Frederic Z. Zhang, Javen Qinfeng Shi et al.
ME-PCN: Point Completion Conditioned on Mask Emptiness
Bingchen Gong, Yinyu Nie, Yiqun Lin et al.
Mesh Graphormer
Kevin Lin, Lijuan Wang, Zicheng Liu
MeshTalk: 3D Face Animation From Speech Using Cross-Modality Disentanglement
Alexander Richard, Michael Zollhöfer, Yandong Wen et al.
Meta-Aggregator: Learning To Aggregate for 1-Bit Graph Neural Networks
Yongcheng Jing, Yiding Yang, Xinchao Wang et al.
Meta-Attack: Class-Agnostic and Model-Agnostic Physical Adversarial Attack
Weiwei Feng, Baoyuan Wu, Tianzhu Zhang et al.
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning
Yinbo Chen, Zhuang Liu, Huijuan Xu et al.
Meta Gradient Adversarial Attack
Zheng Yuan, Jie Zhang, Yunpei Jia et al.
Meta Learning on a Sequence of Imbalanced Domains With Difficulty Awareness
Zhenyi Wang, Tiehang Duan, Le Fang et al.
Meta-Learning With Task-Adaptive Loss Function for Few-Shot Learning
Sungyong Baik, Janghoon Choi, Heewon Kim et al.
Meta Navigator: Search for a Good Adaptation Policy for Few-Shot Learning
Chi Zhang, Henghui Ding, Guosheng Lin et al.
Meta Pairwise Relationship Distillation for Unsupervised Person Re-Identification
Haoxuanye Ji, Le Wang, Sanping Zhou et al.
MFNet: Multi-Filter Directive Network for Weakly Supervised Salient Object Detection
Yongri Piao, Jian Wang, Miao Zhang et al.
MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction
Patrick Dendorfer, Sven Elflein, Laura Leal-Taixé
MGNet: Monocular Geometric Scene Understanding for Autonomous Driving
Markus Schön, Michael Buchholz, Klaus Dietmayer