Learning with Side Information through Modality Hallucination
Hoffman, Judy, Gupta, Saurabh, Darrell, Trevor·2016·2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Cited by (207)
Items 101–200 of 207
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- Privileged Modality Learning via Multimodal HallucinationShicai Wei, Chunbo Luo, Yang Luo, Jialang Xu · 2023 · IEEE Transactions on Multimedia
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- Linguistic Hallucination for Text-Based Video RetrievalSheng Fang, Tiantian Dang, Shuhui Wang, Qingming Huang · 2024 · IEEE Transactions on Circuits and Systems for Video Technology
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- Cloth-Imbalanced Gait Recognition via HallucinationSaihui Hou, Panjian Huang, Xu Liu, Chunshui Cao, Yongzhen Huang · 2024 · IEEE Transactions on Circuits and Systems for Video Technology
- Fine-Grained Species Recognition With Privileged Pooling: Better Sample Efficiency Through Supervised AttentionAndrés C. Rodríguez, Stefano D’Aronco, Konrad Schindler, Jan Dirk Wegner · 2023 · IEEE Transactions on Pattern Analysis and Machine Intelligence
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- Depth Privileged Scene Recognition via Dual Attention HallucinationJunjie Chen, Li Niu, Liqing Zhang · 2021 · IEEE Transactions on Image Processing
- Depth Privileged Object Detection in Indoor Scenes via Deformation HallucinationZhijie Zhang, Yan Liu, Junjie Chen, Li Niu, Liqing Zhang · 2021 · Proceedings of the AAAI Conference on Artificial Intelligence
- Learning to see colours: generating biologically relevant fluorescent labels from bright-field imagesHåkan Wieslander, Ankit Gupta, Ebba Bergman, Erik Hallström, Philip John Harrison · 2021 · bioRxiv (Cold Spring Harbor Laboratory)
- Predicting Visual Political Bias Using Webly Supervised Data and an Auxiliary TaskChristopher Thomas, Adriana Kovashka · 2021 · International Journal of Computer Vision
- Multimodal Localization for Embedded Systems: A SurveyImane Salhi, Martyna Porêba, Erwan Piriou, Valérie Gouet-Brunet, Maroun Ojail · 2019 · Elsevier eBooks
- Hallucinating Saliency Maps for Fine-grained Image Classification for Limited Data DomainsCarola Figueroa-Flores, Bogdan Raducanu, David Berga, Joost van de Weijer · 2021 · International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP)
- Lightweight Audio-Visual Wake Word Spotting With Diverse Acoustic Knowledge DistillationKe-Wei Li, Hang Chen, Jun Du, Hengshun Zhou, Sabato Marco Siniscalchi, Shutong Niu, Shi-Fu Xiong · 2025 · IEEE Transactions on Circuits and Systems for Video Technology
- Toward Robust Tropical Cyclone Wind Radii Estimation With Multimodality Fusion and Missing-Modality DistillationYongjun Jin, Jia Liu, Kaijun Ren, Xiang Wang, Kefeng Deng, Zhiqiang Fan, Chongjiu Deng, Yinlei Yue · 2024 · IEEE Transactions on Geoscience and Remote Sensing
- Using Cross-Model EgoSupervision to Learn Cooperative Basketball IntentionJianbo Shi, Gedas Bertasius · 2017 · IEEE International Conference on Computer Vision Workshops
- Depth-Based Privileged Information for Boosting 3D Human Pose Estimation on RGBAlessandro Simoni, Francesco Marchetti, Guido Borghi, Federico Becattini, Davide Davoli, Lorenzo Garattoni, Gianpiero Francesca, Lorenzo Seidenari, Roberto Vezzani · 2025 · Lecture notes in computer science
- Sequential Minimal Optimization Algorithm for One-Class Support Vector Machines With Privileged InformationAndrey Lange, Dmitry Smolyakov, Evgeny Vladimirovich Burnaev · 2023 · IEEE Access
- Beyond Fusion: Modality Hallucination-based Multispectral Fusion for Pedestrian DetectionQian Xie, Ta-Ying Cheng, Jia-Xing Zhong, Kaichen Zhou, Andrew Markham, Niki Trigoni · 2024 · IEEE Winter Conference on Applications of Computer Vision
- Learning to transfer microscopy image modalitiesHan Liang, Zhaozheng Yin · 2018 · Machine Vision and Applications
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- GENERALIZED KNOWLEDGE DISTILLATION FOR MULTI-SENSOR REMOTE SENSING CLASSIFICATION: AN APPLICATION TO LAND COVER MAPPINGDino Ienco, Yawogan Jean Eudes Gbodjo, Raffaele Gaetano, Roberto Interdonato · 2020 · ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
- Exploring Compositional Image Retrieval with Hybrid Compositional Learning and Heuristic Negative MiningChao Wang, Ehsan Nezhadarya, Tanmana Sadhu, Shengdong Zhang · 2022 · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
- Cross-modal Learning by Hallucinating Missing Modalities in RGB-D VisionNuno C. Garcia, Pietro Morerio, Vittorio Murino · 2019 · Elsevier eBooks
- A Novel Interactive Fusion Method with Images and Point Clouds for 3D Object DetectionKai Xu, Zhile Yang, Yangjie Xu, Liangbing Feng · 2019 · Applied Sciences
- Low to High Dimensional Modality Hallucination Using Aggregated Fields of ViewKausic Gunasekar, Qiang Qiu, Yezhou Yang · 2020 · IEEE Robotics and Automation Letters
- Stereo Confidence Estimation via Locally Adaptive Fusion and Knowledge DistillationSunok Kim, Seungryong Kim, Dongbo Min, Pascal Frossard B, Kwanghoon Sohn · 2022 · IEEE Transactions on Pattern Analysis and Machine Intelligence
- Hard Pixels Mining: Learning Using Privileged Information for Semantic Segmentation.Zhangxuan Gu, Li Niu, Liqing Zhang · 2019 · arXiv (Cornell University)
- Privacy-Safe Action Recognition via Cross-Modality DistillationYuhyun Kim, Jinwook Jung, Hyeoncheol Noh, Byungtae Ahn, Junghye Kwon, Dong‐Geol Choi · 2024 · IEEE Access
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- Demand Forecasting in the Presence of Privileged InformationMozhdeh Ariannezhad, Sebastian Schelter, Maarten de Rijke · 2020 · Lecture notes in computer science
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- Small-shot Multi-modal Distillation for Vision-based Autonomous SteeringYu Shen, Luyu Yang, Xijun Wang, Ming C. Lin · 2023 · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings
- Class Attention Map Distillation for Efficient Semantic SegmentationNader Karimi Bavandpour, Shohreh Kasaei B · 2020 · Iranian Conference on Machine Vision and Image Processing
- Feature-Supervised Action Modality TransferFida Mohammad Thoker, Cees G. M. Snoek · 2021 · Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition
- Generative Information FusionKenneth Tran, Wesam Sakla, Hamid Krim · 2021 · IEEE International Conference on Acoustics Speech and Signal Processing
- Depth Privileged Object Detection with Depth-Enhanced DCNYan Liu, Zhijie Zhang, Liqing Zhang · 2021 · Communications in computer and information science
- Neglected Free Lunch – Learning Image Classifiers Using Annotation ByproductsDongyoon Han, Junsuk Choe, Se-Young Chun, John Joon Young Chung, Minsuk Chang, Sangdoo Yun, Jean Y. Song, Seong Joon Oh · 2023 · IEEE International Conference on Computer Vision
- Commuting Conditional GANS for Multi-Modal FusionSiddharth Roheda, Hamid Krim, Benjamin S. Riggan · 2020 · IEEE International Conference on Acoustics Speech and Signal Processing
- A Memory-Assisted Knowledge Transferring Framework with Curriculum Anticipation for Weakly Supervised Online Activity DetectionTianshan Liu, Kin‐Man Lam, Bing-Kun Bao · 2024 · International Journal of Computer Vision
- Feature Hallucination via Privileged Information for Neuromorphic Face AnalysisLorenzo Berlincioni, Luca Cultrera, Gabriele Magrini, Federico Becattini, Pietro Pala, Alberto Del Bimbo · 2025 · Lecture notes in computer science
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- Multimodal Contrastive Learning for Unpaired and Depth-privileged Semantic SegmentationXiaobo Yang, Danning Ke, Xiaojin Gong · 2023 · International Conference on Wireless Communications and Signal Processing (WCSP)
- Using Cross-Model EgoSupervision to Learn Cooperative Basketball IntentionGedas Bertasius, Jianbo Shi · 2017 · arXiv (Cornell University)
- Privileged Pooling: Better Sample Efficiency Through Supervised AttentionAndrés C. Rodríguez, Stefano D’Aronco, Konrad Schindler, Jan Dirk Wegner · 2020 · arXiv (Cornell University)
- Look at here : Utilizing supervision to attend subtle key regionsChanghwan Lee, Kim, Yeesuk, Lee, Bong Gun, Doo-Sup Kim, Jongseong Jang · 2021 · arXiv (Cornell University)
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- Weakly Supervised Collective Feature Learning From Curated MediaYusuke Mukuta, Akisato Kimura, David Adrian, Zoubin Ghahramani A · 2018 · Proceedings of the AAAI Conference on Artificial Intelligence
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- Learning to see across Domains and ModalitiesFabio Maria Carlucci · 2019 · arXiv (Cornell University)
- Commuting Conditional GANs for Robust Multi-Modal Fusion.Siddharth Roheda, Hamid Krim, Benjamin S. Riggan · 2019 · arXiv (Cornell University)
- Learning visual attributes from contextual explanationsNils Murrugarra-Llerena · 2019 · D-Scholarship@Pitt (University of Pittsburgh)
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