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Papers (including subtopics)

MaXM: Towards Multilingual Visual Question Answering EMNLP 2023 MBPTrack: Improving 3D Point Cloud Tracking with Memory Networks and Box Priors ICCV 2023 MDPose: real-time multi-person pose estimation via mixture density model UAI 2023 MDQE: Mining Discriminative Query Embeddings To Segment Occluded Instances on Challenging Videos CVPR 2023 Mean-Shifted Contrastive Loss for Anomaly Detection AAAI 2023 Measuring Faithful and Plausible Visual Grounding in VQA EMNLP 2023 Medical Image Segmentation via Cascaded Attention Decoding WACV 2023 MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model MIDL 2023 MED-VT: Multiscale Encoder-Decoder Video Transformer With Application To Object Segmentation CVPR 2023 MEGANE: Morphable Eyeglass and Avatar Network CVPR 2023 MeMaHand: Exploiting Mesh-Mano Interaction for Single Image Two-Hand Reconstruction CVPR 2023 Memory-Aided Contrastive Consensus Learning for Co-salient Object Detection AAAI 2023 Memory-and-Anticipation Transformer for Online Action Understanding ICCV 2023 MemorySeg: Online LiDAR Semantic Segmentation with a Latent Memory ICCV 2023 MeMOTR: Long-Term Memory-Augmented Transformer for Multi-Object Tracking ICCV 2023 Mesh-Tension Driven Expression-Based Wrinkles for Synthetic Faces WACV 2023 Meta Architecture for Point Cloud Analysis CVPR 2023 Meta-Auxiliary Learning for Adaptive Human Pose Prediction AAAI 2023 Meta-Auxiliary Learning for Future Depth Prediction in Videos WACV 2023 MetaBEV: Solving Sensor Failures for 3D Detection and Map Segmentation ICCV 2023 Meta Compositional Referring Expression Segmentation CVPR 2023 MetaFusion: Infrared and Visible Image Fusion via Meta-Feature Embedding From Object Detection CVPR 2023 Meta-Learning for Adaptation of Deep Optical Flow Networks WACV 2023 Meta Omnium: A Benchmark for General-Purpose Learning-To-Learn CVPR 2023 Meta-Tuning Loss Functions and Data Augmentation for Few-Shot Object Detection CVPR 2023