Hoffman, Judy
Georgia Institute of Technology
15 papers on CoChatORCID 0000-0003-1971-1606
Most cited papers
- Verified
Adversarial Discriminative Domain Adaptation
Tzeng, E., Hoffman, J., Saenko, K., & Darrell, T. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Domain Adaptation and Few-Shot LearningGenerative Adversarial Networks and Image Synthesis
Cited by 5,154
- Verified
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
Donahue, J., Jia, Y., Vinyals, O., Hoffman, J., Zhang, N., Tzeng, E., & Darrell, T. (2013) · arXiv
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 4,019
- Verified
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
Hoffman, J., Tzeng, E., Park, T., Zhu, J.-Y., Isola, P., Saenko, K., Efros, A. A., & Darrell, T. (2017) · arXiv
Domain Adaptation and Few-Shot LearningGenerative Adversarial Networks and Image Synthesis
Cited by 2,656
- Verified
Deep domain confusion Maximizing for domain invariance
Tzeng, E., Hoffman, J., Zhang, N., Saenko, K., & Darrell, T. (2014) · arXiv
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 2,285
- Verified
Cross Modal Distillation for Supervision Transfer
Gupta, S., Hoffman, J., & Malik, J. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 530
- Verified
LSDA: Large Scale Detection Through Adaptation
Hoffman, J., Guadarrama, S., Tzeng, E., Hu, R., Donahue, J., Girshick, R., Darrell, T., & Saenko, K. (2014) · arXiv
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 284
- Verified
Learning with Side Information through Modality Hallucination
Hoffman, J., Gupta, S., & Darrell, T. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 207
- Verified
VisDA: A Synthetic-to-Real Benchmark for Visual Domain Adaptation
Peng, X., Usman, B., Kaushik, N., Wang, D., Hoffman, J., & Saenko, K. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 196
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Fine-Grained Recognition in the Wild: A Multi-task Domain Adaptation Approach
Gebru, T., Hoffman, J., & Fei-Fei, L. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)
Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications
Cited by 152
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Masked reconstruction based self-supervision for human activity recognition
Haresamudram, H., Beedu, A., Agrawal, V., Grady, P. L., Essa, I., Hoffman, J., & Plötz, T. (2020) · Proceedings of the 2020 International Symposium on Wearable Computers
Context-Aware Activity Recognition SystemsDomain Adaptation and Few-Shot Learning
Cited by 146
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Token Merging: Your ViT But Faster
Bolya, D., Fu, C.-Y., Dai, X., Zhang, P., Feichtenhofer, C., & Hoffman, J. (2022) · arXiv
Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning
Cited by 140
- Verified
Token Merging for Fast Stable Diffusion
Bolya, D., & Hoffman, J. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications
Cited by 115
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SplitNet: Sim2Sim and Task2Task Transfer for Embodied Visual Navigation
Gordon, D., Kadian, A., Parikh, D., Hoffman, J., & Batra, D. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)
Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning
Cited by 57
- Verified
Spatial Semantic Regularisation for Large Scale Object Detection
Mrowca, D., Rohrbach, M., Hoffman, J., Hu, R., Saenko, K., & Darrell, T. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV)
Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques
Cited by 20
- Verified · note
Ego-Exo4D: Understanding Skilled Human Activity from First- and Third-Person Perspectives
Grauman, K., Westbury, A., Torresani, L., Kitani, K., Malik, J., Afouras, T., Ashutosh, K., Baiyya, V., Bansal, S., Boote, B., et al. (2025) · International Journal of Computer Vision
Human Pose and Action RecognitionContext-Aware Activity Recognition Systems
Cited by 3
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