L3D-IVU: 3rd Workshop on Learning with Limited Labelled Data for Image and Video Understanding


Open-world Instance Segmentation: Top-down Learning with Bottom-up Supervision
Tarun Kalluri,
Weiyao Wang,
Heng Wang,
Manmohan Chandraker,
Lorenzo Torresani,
Du Tran
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kalluri_2024_CVPR, author = {Kalluri, Tarun and Wang, Weiyao and Wang, Heng and Chandraker, Manmohan and Torresani, Lorenzo and Tran, Du}, title = {Open-world Instance Segmentation: Top-down Learning with Bottom-up Supervision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {2693-2703} }

Human-in-the-Loop Segmentation of Multi-species Coral Imagery
Scarlett Raine,
Ross Marchant,
Brano Kusy,
Frederic Maire,
Niko Sunderhauf,
Tobias Fischer
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Raine_2024_CVPR, author = {Raine, Scarlett and Marchant, Ross and Kusy, Brano and Maire, Frederic and Sunderhauf, Niko and Fischer, Tobias}, title = {Human-in-the-Loop Segmentation of Multi-species Coral Imagery}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {2723-2732} }

Learnable Prompt for Few-Shot Semantic Segmentation in Remote Sensing Domain
Steve Andreas Immanuel,
Hagai Raja Sinulingga
[pdf] [arXiv]
[bibtex]
@InProceedings{Immanuel_2024_CVPR, author = {Immanuel, Steve Andreas and Sinulingga, Hagai Raja}, title = {Learnable Prompt for Few-Shot Semantic Segmentation in Remote Sensing Domain}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {2755-2761} }

Zero-Shot Monocular Motion Segmentation in the Wild by Combining Deep Learning with Geometric Motion Model Fusion
Yuxiang Huang,
Yuhao Chen,
John Zelek
[pdf] [arXiv]
[bibtex]
@InProceedings{Huang_2024_CVPR, author = {Huang, Yuxiang and Chen, Yuhao and Zelek, John}, title = {Zero-Shot Monocular Motion Segmentation in the Wild by Combining Deep Learning with Geometric Motion Model Fusion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {2733-2743} }

Weakly-Supervised Temporal Action Localization with Multi-Modal Plateau Transformers
Xin Hu,
Kai Li,
Deep Patel,
Erik Kruus,
Martin Renqiang Min,
Zhengming Ding
[pdf] [supp]
[bibtex]
@InProceedings{Hu_2024_CVPR, author = {Hu, Xin and Li, Kai and Patel, Deep and Kruus, Erik and Min, Martin Renqiang and Ding, Zhengming}, title = {Weakly-Supervised Temporal Action Localization with Multi-Modal Plateau Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {2704-2713} }

UVIS: Unsupervised Video Instance Segmentation
Shuaiyi Huang,
Saksham Suri,
Kamal Gupta,
Sai Saketh Rambhatla,
Ser-Nam Lim,
Abhinav Shrivastava
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Huang_2024_CVPR, author = {Huang, Shuaiyi and Suri, Saksham and Gupta, Kamal and Rambhatla, Sai Saketh and Lim, Ser-Nam and Shrivastava, Abhinav}, title = {UVIS: Unsupervised Video Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {2682-2692} }

Active Transferability Estimation
Tarun Ram Menta,
Surgan Jandial,
Akash Patil,
Saketh Bachu,
Vimal K.B,
Balaji Krishnamurthy,
Vineeth N. Balasubramanian,
Mausoom Sarkar,
Chirag Agarwal
[pdf] [supp]
[bibtex]
@InProceedings{Menta_2024_CVPR, author = {Menta, Tarun Ram and Jandial, Surgan and Patil, Akash and Bachu, Saketh and K.B, Vimal and Krishnamurthy, Balaji and Balasubramanian, Vineeth N. and Sarkar, Mausoom and Agarwal, Chirag}, title = {Active Transferability Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {2659-2670} }

SemiGPC: Distribution-Aware Label Refinement for Imbalanced Semi-Supervised Learning Using Gaussian Processes
Abdelhak Lemkhenter,
Manchen Wang,
Luca Zancato,
Gurumurthy Swaminathan,
Paolo Favaro,
Davide Modolo
[pdf] [arXiv]
[bibtex]
@InProceedings{Lemkhenter_2024_CVPR, author = {Lemkhenter, Abdelhak and Wang, Manchen and Zancato, Luca and Swaminathan, Gurumurthy and Favaro, Paolo and Modolo, Davide}, title = {SemiGPC: Distribution-Aware Label Refinement for Imbalanced Semi-Supervised Learning Using Gaussian Processes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {2576-2585} }

Enrich Distill and Fuse: Generalized Few-Shot Semantic Segmentation in Remote Sensing Leveraging Foundation Model's Assistance
Tianyi Gao,
Wei Ao,
Xing-Ao Wang,
Yuanhao Zhao,
Ping Ma,
Mengjie Xie,
Hang Fu,
Jinchang Ren,
Zhi Gao
[pdf]
[bibtex]
@InProceedings{Gao_2024_CVPR, author = {Gao, Tianyi and Ao, Wei and Wang, Xing-Ao and Zhao, Yuanhao and Ma, Ping and Xie, Mengjie and Fu, Hang and Ren, Jinchang and Gao, Zhi}, title = {Enrich Distill and Fuse: Generalized Few-Shot Semantic Segmentation in Remote Sensing Leveraging Foundation Model's Assistance}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {2771-2780} }

Dynamic Knowledge Adapter with Probabilistic Calibration for Generalized Few-Shot Semantic Segmentation
Jintao Tong,
Haichen Zhou,
Yicong Liu,
Yiman Hu,
Yixiong Zou
[pdf]
[bibtex]
@InProceedings{Tong_2024_CVPR, author = {Tong, Jintao and Zhou, Haichen and Liu, Yicong and Hu, Yiman and Zou, Yixiong}, title = {Dynamic Knowledge Adapter with Probabilistic Calibration for Generalized Few-Shot Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {2781-2790} }

Uncertainty-based Forgetting Mitigation for Generalized Few-Shot Object Detection
Karim Guirguis,
George Eskandar,
Mingyang Wang,
Matthias Kayser,
Eduardo Monari,
Bin Yang,
Jürgen Beyerer
[pdf]
[bibtex]
@InProceedings{Guirguis_2024_CVPR, author = {Guirguis, Karim and Eskandar, George and Wang, Mingyang and Kayser, Matthias and Monari, Eduardo and Yang, Bin and Beyerer, J\"urgen}, title = {Uncertainty-based Forgetting Mitigation for Generalized Few-Shot Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {2586-2595} }

Image-caption Difficulty for Efficient Weakly-supervised Object Detection from In-the-wild Data
Giacomo Nebbia,
Adriana Kovashka
[pdf]
[bibtex]
@InProceedings{Nebbia_2024_CVPR, author = {Nebbia, Giacomo and Kovashka, Adriana}, title = {Image-caption Difficulty for Efficient Weakly-supervised Object Detection from In-the-wild Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {2596-2605} }

MoDA: Leveraging Motion Priors from Videos for Advancing Unsupervised Domain Adaptation in Semantic Segmentation
Fei Pan,
Xu Yin,
Seokju Lee,
Axi Niu,
Sungeui Yoon,
In So Kweon
[pdf] [arXiv]
[bibtex]
@InProceedings{Pan_2024_CVPR, author = {Pan, Fei and Yin, Xu and Lee, Seokju and Niu, Axi and Yoon, Sungeui and Kweon, In So}, title = {MoDA: Leveraging Motion Priors from Videos for Advancing Unsupervised Domain Adaptation in Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {2649-2658} }

Generalized Few-Shot Meets Remote Sensing: Discovering Novel Classes in Land Cover Mapping via Hybrid Semantic Segmentation Framework
Zhuohong Li,
Fangxiao Lu,
Jiaqi Zou,
Lei Hu,
Hongyan Zhang
[pdf] [arXiv]
[bibtex]
@InProceedings{Li_2024_CVPR, author = {Li, Zhuohong and Lu, Fangxiao and Zou, Jiaqi and Hu, Lei and Zhang, Hongyan}, title = {Generalized Few-Shot Meets Remote Sensing: Discovering Novel Classes in Land Cover Mapping via Hybrid Semantic Segmentation Framework}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {2744-2754} }

CDAD-Net: Bridging Domain Gaps in Generalized Category Discovery
Sai Bhargav Rongali,
Sarthak Mehrotra,
Ankit Jha,
Mohamad Hassan N C,
Shirsha Bose,
Tanisha Gupta,
Mainak Singha,
Biplab Banerjee
[pdf] [supp]
[bibtex]
@InProceedings{Rongali_2024_CVPR, author = {Rongali, Sai Bhargav and Mehrotra, Sarthak and Jha, Ankit and C, Mohamad Hassan N and Bose, Shirsha and Gupta, Tanisha and Singha, Mainak and Banerjee, Biplab}, title = {CDAD-Net: Bridging Domain Gaps in Generalized Category Discovery}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {2616-2626} }

Latent-based Diffusion Model for Long-tailed Recognition
Pengxiao Han,
Changkun Ye,
Jieming Zhou,
Jing Zhang,
Jie Hong,
Xuesong Li
[pdf] [arXiv]
[bibtex]
@InProceedings{Han_2024_CVPR, author = {Han, Pengxiao and Ye, Changkun and Zhou, Jieming and Zhang, Jing and Hong, Jie and Li, Xuesong}, title = {Latent-based Diffusion Model for Long-tailed Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {2639-2648} }

On Accuracy and Speed of Geodesic Regression: Do Geometric Priors Improve Learning on Small Datasets?
Adele Myers,
Nina Miolane
[pdf] [supp]
[bibtex]
@InProceedings{Myers_2024_CVPR, author = {Myers, Adele and Miolane, Nina}, title = {On Accuracy and Speed of Geodesic Regression: Do Geometric Priors Improve Learning on Small Datasets?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {2714-2722} }

What is Point Supervision Worth in Video Instance Segmentation?
Shuaiyi Huang,
De-An Huang,
Zhiding Yu,
Shiyi Lan,
Subhashree Radhakrishnan,
Jose M. Alvarez,
Abhinav Shrivastava,
Anima Anandkumar
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Huang_2024_CVPR, author = {Huang, Shuaiyi and Huang, De-An and Yu, Zhiding and Lan, Shiyi and Radhakrishnan, Subhashree and Alvarez, Jose M. and Shrivastava, Abhinav and Anandkumar, Anima}, title = {What is Point Supervision Worth in Video Instance Segmentation?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {2671-2681} }

Audio-Visual Generalized Zero-Shot Learning using Pre-Trained Large Multi-Modal Models
David Kurzendörfer,
Otniel-Bogdan Mercea,
A. Sophia Koepke,
Zeynep Akata
[pdf] [supp]
[bibtex]
@InProceedings{Kurzendorfer_2024_CVPR, author = {Kurzend\"orfer, David and Mercea, Otniel-Bogdan and Koepke, A. Sophia and Akata, Zeynep}, title = {Audio-Visual Generalized Zero-Shot Learning using Pre-Trained Large Multi-Modal Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {2627-2638} }

Learning Tracking Representations from Single Point Annotations
Qiangqiang Wu,
Antoni B. Chan
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wu_2024_CVPR, author = {Wu, Qiangqiang and Chan, Antoni B.}, title = {Learning Tracking Representations from Single Point Annotations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2024}, pages = {2606-2615} }