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CrowdCLIP: Unsupervised Crowd Counting via Vision-Language Model.

, , , , , and . CVPR, page 2893-2903. IEEE, (2023)

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Revealing the Reciprocal Relations between Self-Supervised Stereo and Monocular Depth Estimation., , , , , , , , and . ICCV, page 15509-15518. IEEE, (2021)DSANet: Dynamic Segment Aggregation Network for Video-Level Representation Learning., , , , , , , , , and 1 other author(s). ACM Multimedia, page 1903-1911. ACM, (2021)Adversarial Category Alignment Network for Cross-domain Sentiment Classification., , , , and . NAACL-HLT (1), page 2496-2508. Association for Computational Linguistics, (2019)PointMamba: A Simple State Space Model for Point Cloud Analysis., , , , , , , and . CoRR, (2024)Towards Adversarial Patch Analysis and Certified Defense against Crowd Counting., , , , , and . ACM Multimedia, page 2195-2204. ACM, (2021)Enhanced 3D convolutional networks for crowd counting., , , , and . BMVC, page 250. BMVA Press, (2019)SAM3D: zero-shot 3D object detection via the segment anything model., , , , , , and . Sci. China Inf. Sci., (2024)Query-based Temporal Fusion with Explicit Motion for 3D Object Detection., , , , , and . NeurIPS, (2023)Exploring the Causality of End-to-End Autonomous Driving., , , , , , , , and . CoRR, (2024)Paint and Distill: Boosting 3D Object Detection with Semantic Passing Network., , , , , , and . ACM Multimedia, page 5639-5648. ACM, (2022)