Change Detection Between Optical Remote Sensing Imagery and Map Data via Segment Anything Model (SAM)
专题命中 视频多模态 :multimodal(abstract);分类 cs.CV、cs.AI、cs.MM
AI 大模型
跨文本、图像、视频、音频等模态的大模型与学习方法。
专题命中 视频多模态 :multimodal(abstract);分类 cs.CV、cs.AI、cs.MM
专题命中 视频多模态 :multi-modal(abstract);分类 cs.CV、cs.AI、cs.MM
专题命中 视频多模态 :multi-modal(abstract);分类 cs.CV、cs.AI、cs.MM
Comments Accepted by AAAI 2024. Code is released at https://github.com/OpenGVLab/MUTR
专题命中 视频多模态 :multimodal(abstract);分类 cs.CV、cs.CL、cs.AI
Comments I will not add others' names since this work has not been published
专题命中 视频多模态 :multi-modal(abstract);分类 cs.CV、cs.AI、cs.MM
Comments This work has been submitted to the IEEE for possible publication. arXiv admin note: substantial text overlap with arXiv:2305.00455
专题命中 视频多模态 :multi-modal(abstract);分类 cs.CV、cs.AI、cs.MM
Comments Accepted by ICCV23
专题命中 视频多模态 :multimodal(abstract);multi-modal(abstract)
专题命中 视频多模态 :multimodal(abstract);分类 cs.CL、cs.AI、cs.MM
专题命中 视频多模态 :cross-modal(abstract);分类 cs.CV、cs.CL、cs.AI
专题命中 视频多模态 :multi-modal(abstract);分类 cs.CV、cs.CL、cs.AI
Comments CVPR 2023 Camera-Ready; Project Webpage: https://antoyang.github.io/vid2seq.html ; 18 pages; 6 figures
专题命中 视频多模态 :multi-modal(abstract);分类 cs.CV、cs.AI、cs.MM
Comments 11 pages, 5 figures, accepted to EACL2023
专题命中 视频多模态 :cross-modal(abstract);分类 cs.CV、cs.AI、cs.MM
Comments Accepted by NeurIPS2022
专题命中 视频多模态 :multimodal(abstract);分类 cs.CV、cs.AI、cs.MM
Comments Accepted to IJCB 2022
专题命中 视频多模态 :multimodal(abstract);分类 cs.CV、cs.CL、cs.AI
Journal ref Proc. Interspeech 2022, 1116-1120
专题命中 视频多模态 :multimodal(abstract);分类 cs.CV、cs.CL、cs.AI
Comments Accepted for publication at IEEE Robotics and Automation Letters (RAL). Codebase and trained models available at http://hulc.cs.uni-freiburg.de
专题命中 视频多模态 :multimodal(abstract);分类 cs.CV、cs.CL、cs.AI
Journal ref ACM Multimedia 2022
专题命中 视频多模态 :multimodal(abstract);分类 cs.CV、cs.CL、cs.AI
Comments CVPR 2022 (Oral)
专题命中 视频多模态 :cross-modal(abstract);分类 cs.CV、cs.AI、cs.MM
Comments AAAI'22 (Oral)
专题命中 视频多模态 :cross-modal(abstract);分类 cs.CV、cs.AI、cs.MM
Comments Accepted by IEEE Transactions on Circuits and Systems for Video Technology. Code is available at https://github.com/LiJiaBei-7/rivrl
专题命中 视频多模态 :audio-visual(abstract);分类 cs.CV、cs.AI、cs.MM
Comments Accepted at AAAI 2022
专题命中 视频多模态 :cross-modal(abstract);分类 cs.CV、cs.AI、cs.MM
Comments Accept at TCSVT
专题命中 视频多模态 :cross-modal(abstract);分类 cs.CV、cs.AI、cs.MM
Comments accepted for publication as a REGULAR paper in the IEEE Transactions on Multimedia
专题命中 视频多模态 :cross-modal(abstract);分类 cs.CV、cs.CL、cs.AI
Comments 27 pages, 5 figures, 19 tables. To be published in the 34th conference on Neural Information Processing Systems (NeurIPS 2020). The first two authors contributed equally to this work
专题命中 视频多模态 :multimodal(abstract);分类 cs.CV、cs.CL、cs.AI
Comments EMNLP 2020 (17 pages)
专题命中 视频多模态 :multi-modal(abstract);分类 cs.CV、cs.CL、cs.AI
专题命中 视频多模态 :multimodal(abstract);分类 cs.CV、cs.CL、cs.AI
Comments 12 pages
专题命中 视频多模态 :multimodal(abstract);分类 cs.CV、cs.CL、cs.AI
Comments Accepted to CVPR2020
专题命中 视频多模态 :multimodal(abstract);分类 cs.CV、cs.CL、cs.AI
Comments EMNLP 2018 (14 pages) (fixed Table5 typo in v2)
专题命中 视频多模态 :audio-visual(abstract);分类 cs.CV、cs.MM、eess.AS
Comments Published in ECCV 2018; Project Page: http://vision.cs.utexas.edu/projects/separating_object_sounds/
专题命中 视频多模态 :multimodal(abstract);分类 cs.CV、cs.CL、cs.AI
Comments EMNLP 2015
Journal ref Conference on Empirical Methods in Natural Language Processing (EMNLP), 2015, pages 1477--1487