Lempitsky, Victor

Domain-Adversarial Training of Neural Networks

Ganin, Y., Ustinova, E., Ajakan, H., Germain, P., Larochelle, H., Laviolette, F., Marchand, M., & Lempitsky, V. (2017) · Advances in Computer Vision and Pattern Recognition

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 8,318

The devil is in the details: an evaluation of recent feature encoding methods

Chatfield, K., Lempitsky, V., Vedaldi, A., & Zisserman, A. (2011) · Procedings of the British Machine Vision Conference 2011

Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques

Cited by 834

Few-Shot Adversarial Learning of Realistic Neural Talking Head Models

Zakharov, E., Shysheya, A., Burkov, E., & Lempitsky, V. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV)

Generative Adversarial Networks and Image SynthesisDomain Adaptation and Few-Shot Learning

Cited by 687

Aggregating Deep Convolutional Features for Image Retrieval

Babenko, A., & Lempitsky, V. (2015) · arXiv

Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques

Cited by 224

FusionFlow: Discrete-continuous optimization for optical flow estimation

Lempitsky, V., Roth, S., & Rother, C. (2008) · 2008 IEEE Conference on Computer Vision and Pattern Recognition

Advanced Vision and ImagingVideo Surveillance and Tracking Methods

Cited by 145

Resolution-robust Large Mask Inpainting with Fourier Convolutions

Suvorov, R., Logacheva, E., Mashikhin, A., Remizova, A., Ashukha, A., Silvestrov, A., Kong, N., Goka, H., Park, K., & Lempitsky, V. (2021) · arXiv

Generative Adversarial Networks and Image SynthesisAdvanced Image Processing Techniques

Cited by 12