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M2-CLIP: A Multimodal, Multi-task Adapting Framework for Video Action Recognition., , , , , , , , and . CoRR, (2024)Camera-based 3D Semantic Scene Completion with Sparse Guidance Network., , , , , , , and . CoRR, (2023)CR-SFP: Learning Consistent Representation for Soft Filter Pruning., , , , , and . CoRR, (2023)Delving Deeper Into Mask Utilization in Video Object Segmentation., , , , , and . IEEE Trans. Image Process., (2022)Geo-Localization With Transformer-Based 2D-3D Match Network., , , , , , , and . IEEE Robotics Autom. Lett., 8 (8): 4855-4862 (2023)CenterLPS: Segment Instances by Centers for LiDAR Panoptic Segmentation., , , , , , , and . ACM Multimedia, page 1884-1894. ACM, (2023)PANet: LiDAR Panoptic Segmentation with Sparse Instance Proposal and Aggregation., , , , , and . IROS, page 7726-7733. (2023)SSC-RS: Elevate LiDAR Semantic Scene Completion with Representation Separation and BEV Fusion., , , , , and . IROS, page 1-8. (2023)Exploiting semantic-level affinities with a mask-guided network for temporal action proposal in videos., , , and . Appl. Intell., 53 (12): 15516-15536 (June 2023)MaIL: A Unified Mask-Image-Language Trimodal Network for Referring Image Segmentation., , , and . CoRR, (2021)