Papers
8,506 papers found
Meta-Unlearning on Diffusion Models: Preventing Relearning Unlearned Concepts
Hongcheng Gao, Tianyu Pang, Chao Du et al.
METEOR: Multi-Encoder Collaborative Token Pruning for Efficient Vision Language Models
Yuchen Liu, Yaoming Wang, Bowen Shi et al.
Metric Convolutions: A Unifying Theory to Adaptive Image Convolutions
Thomas Dagès, Michael Lindenbaum, Alfred M. Bruckstein
MGSfM: Multi-Camera Geometry Driven Global Structure-from-Motion
Peilin Tao, Hainan Cui, Diantao Tu et al.
MGSR: 2D/3D Mutual-boosted Gaussian Splatting for High-fidelity Surface Reconstruction under Various Light Conditions
Qingyuan Zhou, Yuehu Gong, Weidong Yang et al.
MH-LVC: Multi-Hypothesis Temporal Prediction for Learned Conditional Residual Video Coding
Huu-Tai Phung, Zong-Lin Gao, Yi-Chen Yao et al.
MiDSummer: Multi-Guidance Diffusion for Controllable Zero-Shot Immersive Gaussian Splatting Scene Generation
Anjun Hu, Richard Tomsett, Valentin Gourmet et al.
MIEB: Massive Image Embedding Benchmark
Chenghao Xiao, Isaac Chung, Imene Kerboua et al.
MikuDance: Animating Character Art with Mixed Motion Dynamics
Jiaxu Zhang, Xianfang Zeng, Xin Chen et al.
MinCD-PnP: Learning 2D-3D Correspondences with Approximate Blind PnP
Pei An, Jiaqi Yang, Muyao Peng et al.
Mind the Cost of Scaffold! Benign Clients May Even Become Accomplices of Backdoor Attack
Xingshuo Han, Xuanye Zhang, Xiang Lan et al.
Mind the Gap: Aligning Vision Foundation Models to Image Feature Matching
Yuhan Liu, Jingwen Fu, Yang Wu et al.
Mind the Gap: Preserving and Compensating for the Modality Gap in CLIP-Based Continual Learning
Linlan Huang, Xusheng Cao, Haori Lu et al.
MINERVA: Evaluating Complex Video Reasoning
Arsha Nagrani, Sachit Menon, Ahmet Iscen et al.
MIORe & VAR-MIORe: Benchmarks to Push the Boundaries of Restoration
George Ciubotariu, Zhuyun Zhou, Zongwei Wu et al.
MissRAG: Addressing the Missing Modality Challenge in Multimodal Large Language Models
Vittorio Pipoli, Alessia Saporita, Federico Bolelli et al.
MistSense: Versatile Online Detection of Procedural and Execution Mistakes
Constantin Patsch, Yuankai Wu, Marsil Zakour et al.
Mitigating Catastrophic Overfitting in Fast Adversarial Training via Label Information Elimination
Chao Pan, Ke Tang, Qing Li et al.
Mitigating Geometric Degradation in Fast DownSampling via FastAdapter for Point Cloud Segmentation
Shuofeng Sun, Haibin Yan
Mitigating Object Hallucinations via Sentence-Level Early Intervention
Shangpin Peng, Senqiao Yang, Li Jiang et al.
MixA: A Mixed Attention approach with Stable Lightweight Linear Attention to enhance Efficiency of Vision Transformers at the Edge
Sabbir Ahmed, Jingtao Li, Weiming Zhuang et al.
MixANT: Observation-dependent Memory Propagation for Stochastic Dense Action Anticipation
Syed Talal Wasim, Hamid Suleman, Olga Zatsarynna et al.
MixA-Q: Revisiting Activation Sparsity for Vision Transformers from a Mixed-Precision Quantization Perspective
Weitian Wang, Rai Shubham, Cecilia De La Parra et al.
Mixed Signals: A Diverse Point Cloud Dataset for Heterogeneous LiDAR V2X Collaboration
Katie Z Luo, Minh-Quan Dao, Zhenzhen Liu et al.
MixRI: Mixing Features of Reference Images for Novel Object Pose Estimation
Xinhang Liu, Jiawei Shi, Zheng Dang et al.