CVPR 2023 Open Access Repository

2nd Workshop on Learning With Limited Labelled Data for Image and Video Understanding

Language Models Are Causal Knowledge Extractors for Zero-Shot Video Question Answering: Hung-Ting Su,

Yulei Niu,

Xudong Lin,

Winston H. Hsu,

Shih-Fu Chang; [pdf] [arXiv]
[bibtex]
@InProceedings{Su_2023_CVPR, author = {Su, Hung-Ting and Niu, Yulei and Lin, Xudong and Hsu, Winston H. and Chang, Shih-Fu}, title = {Language Models Are Causal Knowledge Extractors for Zero-Shot Video Question Answering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {4951-4960} }
Mutual Exclusive Modulator for Long-Tailed Recognition: Haixu Long,

Xiaolin Zhang,

Yanbin Liu,

Zongtai Luo,

Jianbo Liu; [pdf] [arXiv]
[bibtex]
@InProceedings{Long_2023_CVPR, author = {Long, Haixu and Zhang, Xiaolin and Liu, Yanbin and Luo, Zongtai and Liu, Jianbo}, title = {Mutual Exclusive Modulator for Long-Tailed Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {4891-4900} }
Zero-Shot Object Classification With Large-Scale Knowledge Graph: Kohei Shiba,

Yusuke Mukuta,

Tatsuya Harada; [pdf]
[bibtex]
@InProceedings{Shiba_2023_CVPR, author = {Shiba, Kohei and Mukuta, Yusuke and Harada, Tatsuya}, title = {Zero-Shot Object Classification With Large-Scale Knowledge Graph}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {4991-4998} }
Improving Data-Efficient Fossil Segmentation via Model Editing: Indu Panigrahi,

Ryan Manzuk,

Adam Maloof,

Ruth Fong; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Panigrahi_2023_CVPR, author = {Panigrahi, Indu and Manzuk, Ryan and Maloof, Adam and Fong, Ruth}, title = {Improving Data-Efficient Fossil Segmentation via Model Editing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {4829-4838} }
Neural Transformation Network To Generate Diverse Views for Contrastive Learning: Taekyung Kim,

Debasmit Das,

Seokeon Choi,

Minki Jeong,

Seunghan Yang,

Sungrack Yun,

Changick Kim; [pdf] [supp]
[bibtex]
@InProceedings{Kim_2023_CVPR, author = {Kim, Taekyung and Das, Debasmit and Choi, Seokeon and Jeong, Minki and Yang, Seunghan and Yun, Sungrack and Kim, Changick}, title = {Neural Transformation Network To Generate Diverse Views for Contrastive Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {4901-4911} }
LSFSL: Leveraging Shape Information in Few-Shot Learning: Deepan Chakravarthi Padmanabhan,

Shruthi Gowda,

Elahe Arani,

Bahram Zonooz; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Padmanabhan_2023_CVPR, author = {Padmanabhan, Deepan Chakravarthi and Gowda, Shruthi and Arani, Elahe and Zonooz, Bahram}, title = {LSFSL: Leveraging Shape Information in Few-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {4971-4980} }
HNSSL: Hard Negative-Based Self-Supervised Learning: Wentao Zhu,

Jingya Liu,

Yufang Huang; [pdf]
[bibtex]
@InProceedings{Zhu_2023_CVPR, author = {Zhu, Wentao and Liu, Jingya and Huang, Yufang}, title = {HNSSL: Hard Negative-Based Self-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {4778-4787} }
Improving Cross-Domain Detection With Self-Supervised Learning: Kai Li,

Curtis Wigington,

Chris Tensmeyer,

Vlad I. Morariu,

Handong Zhao,

Varun Manjunatha,

Nikolaos Barmpalios,

Yun Fu; [pdf]
[bibtex]
@InProceedings{Li_2023_CVPR, author = {Li, Kai and Wigington, Curtis and Tensmeyer, Chris and Morariu, Vlad I. and Zhao, Handong and Manjunatha, Varun and Barmpalios, Nikolaos and Fu, Yun}, title = {Improving Cross-Domain Detection With Self-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {4746-4755} }
Self-Supervised 3D Human Pose Estimation From a Single Image: Jose Sosa,

David Hogg; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Sosa_2023_CVPR, author = {Sosa, Jose and Hogg, David}, title = {Self-Supervised 3D Human Pose Estimation From a Single Image}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {4788-4797} }
Zero-Shot Action Recognition With Transformer-Based Video Semantic Embedding: Keval Doshi,

Yasin Yilmaz; [pdf] [supp]
[bibtex]
@InProceedings{Doshi_2023_CVPR, author = {Doshi, Keval and Yilmaz, Yasin}, title = {Zero-Shot Action Recognition With Transformer-Based Video Semantic Embedding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {4859-4868} }
Posture-Based Infant Action Recognition in the Wild With Very Limited Data: Xiaofei Huang,

Lingfei Luan,

Elaheh Hatamimajoumerd,

Michael Wan,

Pooria Daneshvar Kakhaki,

Rita Obeid,

Sarah Ostadabbas; [pdf]
[bibtex]
@InProceedings{Huang_2023_CVPR, author = {Huang, Xiaofei and Luan, Lingfei and Hatamimajoumerd, Elaheh and Wan, Michael and Kakhaki, Pooria Daneshvar and Obeid, Rita and Ostadabbas, Sarah}, title = {Posture-Based Infant Action Recognition in the Wild With Very Limited Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {4912-4921} }
SimDE: A Simple Domain Expansion Approach for Single-Source Domain Generalization: Qinwei Xu,

Ruipeng Zhang,

Yi-Yan Wu,

Ya Zhang,

Ning Liu,

Yanfeng Wang; [pdf] [supp]
[bibtex]
@InProceedings{Xu_2023_CVPR, author = {Xu, Qinwei and Zhang, Ruipeng and Wu, Yi-Yan and Zhang, Ya and Liu, Ning and Wang, Yanfeng}, title = {SimDE: A Simple Domain Expansion Approach for Single-Source Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {4798-4808} }
MEnsA: Mix-Up Ensemble Average for Unsupervised Multi Target Domain Adaptation on 3D Point Clouds: Ashish Sinha,

Jonghyun Choi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Sinha_2023_CVPR, author = {Sinha, Ashish and Choi, Jonghyun}, title = {MEnsA: Mix-Up Ensemble Average for Unsupervised Multi Target Domain Adaptation on 3D Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {4767-4777} }
Self-Supervised Video Similarity Learning: Giorgos Kordopatis-Zilos,

Giorgos Tolias,

Christos Tzelepis,

Ioannis Kompatsiaris,

Ioannis Patras,

Symeon Papadopoulos; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kordopatis-Zilos_2023_CVPR, author = {Kordopatis-Zilos, Giorgos and Tolias, Giorgos and Tzelepis, Christos and Kompatsiaris, Ioannis and Patras, Ioannis and Papadopoulos, Symeon}, title = {Self-Supervised Video Similarity Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {4756-4766} }
Contrast, Stylize and Adapt: Unsupervised Contrastive Learning Framework for Domain Adaptive Semantic Segmentation: Tianyu Li,

Subhankar Roy,

Huayi Zhou,

Hongtao Lu,

Stéphane Lathuilière; [pdf] [supp]
[bibtex]
@InProceedings{Li_2023_CVPR, author = {Li, Tianyu and Roy, Subhankar and Zhou, Huayi and Lu, Hongtao and Lathuili\`ere, St\'ephane}, title = {Contrast, Stylize and Adapt: Unsupervised Contrastive Learning Framework for Domain Adaptive Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {4869-4879} }
Incorporating Visual Grounding in GCN for Zero-Shot Learning of Human Object Interaction Actions: Chinmaya Devaraj,

Cornelia Fermüller,

Yiannis Aloimonos; [pdf]
[bibtex]
@InProceedings{Devaraj_2023_CVPR, author = {Devaraj, Chinmaya and Ferm\"uller, Cornelia and Aloimonos, Yiannis}, title = {Incorporating Visual Grounding in GCN for Zero-Shot Learning of Human Object Interaction Actions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {5008-5017} }
NamedMask: Distilling Segmenters From Complementary Foundation Models: Gyungin Shin,

Weidi Xie,

Samuel Albanie; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Shin_2023_CVPR, author = {Shin, Gyungin and Xie, Weidi and Albanie, Samuel}, title = {NamedMask: Distilling Segmenters From Complementary Foundation Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {4961-4970} }
In Defense of Structural Symbolic Representation for Video Event-Relation Prediction: Andrew Lu,

Xudong Lin,

Yulei Niu,

Shih-Fu Chang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lu_2023_CVPR, author = {Lu, Andrew and Lin, Xudong and Niu, Yulei and Chang, Shih-Fu}, title = {In Defense of Structural Symbolic Representation for Video Event-Relation Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {4940-4950} }
Stream-Based Active Distillation for Scalable Model Deployment: Dani Manjah,

Davide Cacciarelli,

Baptiste Standaert,

Mohamed Benkedadra,

Gauthier Rotsart de Hertaing,

Benoît Macq,

Stéphane Galland,

Christophe De Vleeschouwer; [pdf]
[bibtex]
@InProceedings{Manjah_2023_CVPR, author = {Manjah, Dani and Cacciarelli, Davide and Standaert, Baptiste and Benkedadra, Mohamed and de Hertaing, Gauthier Rotsart and Macq, Beno{\^\i}t and Galland, St\'ephane and De Vleeschouwer, Christophe}, title = {Stream-Based Active Distillation for Scalable Model Deployment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {4999-5007} }
Improving Automatic Target Recognition in Low Data Regime Using Semi-Supervised Learning and Generative Data Augmentation: Fadoua Khmaissia,

Hichem Frigui; [pdf]
[bibtex]
@InProceedings{Khmaissia_2023_CVPR, author = {Khmaissia, Fadoua and Frigui, Hichem}, title = {Improving Automatic Target Recognition in Low Data Regime Using Semi-Supervised Learning and Generative Data Augmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {4931-4939} }
Leveraging Triplet Loss for Unsupervised Action Segmentation: Elena Bueno-Benito,

Biel Tura Vecino,

Mariella Dimiccoli; [pdf] [arXiv ]
[bibtex]
@InProceedings{Bueno-Benito_2023_CVPR, author = {Bueno-Benito, Elena and Vecino, Biel Tura and Dimiccoli, Mariella}, title = {Leveraging Triplet Loss for Unsupervised Action Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {4922-4930} }
What Affects Learned Equivariance in Deep Image Recognition Models?: Robert-Jan Bruintjes,

Tomasz Motyka,

Jan van Gemert; [pdf] [arXiv]
[bibtex]
@InProceedings{Bruintjes_2023_CVPR, author = {Bruintjes, Robert-Jan and Motyka, Tomasz and van Gemert, Jan}, title = {What Affects Learned Equivariance in Deep Image Recognition Models?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {4839-4847} }
Reliable Student: Addressing Noise in Semi-Supervised 3D Object Detection: Farzad Nozarian,

Shashank Agarwal,

Farzaneh Rezaeianaran,

Danish Shahzad,

Atanas Poibrenski,

Christian Müller,

Philipp Slusallek; [pdf]
[bibtex]
@InProceedings{Nozarian_2023_CVPR, author = {Nozarian, Farzad and Agarwal, Shashank and Rezaeianaran, Farzaneh and Shahzad, Danish and Poibrenski, Atanas and M\"uller, Christian and Slusallek, Philipp}, title = {Reliable Student: Addressing Noise in Semi-Supervised 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {4981-4990} }
OWL (Observe, Watch, Listen): Audiovisual Temporal Context for Localizing Actions in Egocentric Videos: Merey Ramazanova,

Victor Escorcia,

Fabian Caba,

Chen Zhao,

Bernard Ghanem; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ramazanova_2023_CVPR, author = {Ramazanova, Merey and Escorcia, Victor and Caba, Fabian and Zhao, Chen and Ghanem, Bernard}, title = {OWL (Observe, Watch, Listen): Audiovisual Temporal Context for Localizing Actions in Egocentric Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {4880-4890} }
An Effective Crop-Paste Pipeline for Few-Shot Object Detection: Shaobo Lin,

Kun Wang,

Xingyu Zeng,

Rui Zhao; [pdf] [arXiv]
[bibtex]
@InProceedings{Lin_2023_CVPR, author = {Lin, Shaobo and Wang, Kun and Zeng, Xingyu and Zhao, Rui}, title = {An Effective Crop-Paste Pipeline for Few-Shot Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {4820-4828} }
Impact of Pseudo Depth on Open World Object Segmentation With Minimal User Guidance: Robin Schön,

Katja Ludwig,

Rainer Lienhart; [pdf] [supp]
[bibtex]
@InProceedings{Schon_2023_CVPR, author = {Sch\"on, Robin and Ludwig, Katja and Lienhart, Rainer}, title = {Impact of Pseudo Depth on Open World Object Segmentation With Minimal User Guidance}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {4809-4819} }
Zero-Shot Unsupervised Transfer Instance Segmentation: Gyungin Shin,

Samuel Albanie,

Weidi Xie; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Shin_2023_CVPR, author = {Shin, Gyungin and Albanie, Samuel and Xie, Weidi}, title = {Zero-Shot Unsupervised Transfer Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2023}, pages = {4848-4858} }