562 citations · 1.6k across the 39 of their papers we have counts for
7 papers · 1 filter
Learning to Impute: A General Framework for Semi-supervised Learning
Wei-Hong Li, Chuan-Sheng Foo, Hakan Bilen
Recent semi-supervised learning methods have shown to achieve comparable results to their supervised counterparts while using only a small portion of labels in image classification…
Injecting Prior Knowledge into Image Caption Generation
Arushi Goel, Basura Fernando, Thanh-Son Nguyen +1
Automatically generating natural language descriptions from an image is a challenging problem in artificial intelligence that requires a good understanding of the visual and textua…
NormGrad: Finding the Pixels that Matter for Training
Sylvestre-Alvise Rebuffi, Ruth Fong, Xu Ji +2
The different families of saliency methods, either based on contrastive signals, closed-form formulas mixing gradients with activations or on perturbation masks, all focus on which…
Image Deconvolution with Deep Image and Kernel Priors
Zhunxuan Wang, Zipei Wang, Qiqi Li +1
Image deconvolution is the process of recovering convolutional degraded images, which is always a hard inverse problem because of its mathematically ill-posed property. On the succ…
Personalised aesthetics with residual adapters
Carlos Rodríguez-Pardo, Hakan Bilen
The use of computational methods to evaluate aesthetics in photography has gained interest in recent years due to the popularization of convolutional neural networks and the availa…
Self-supervised Learning of Interpretable Keypoints from Unlabelled Videos
Tomas Jakab, Ankush Gupta, Hakan Bilen +1
We propose KeypointGAN, a new method for recognizing the pose of objects from a single image that for learning uses only unlabelled videos and a weak empirical prior on the object…
Weakly Supervised Gaussian Networks for Action Detection
Basura Fernando, Cheston Tan Yin Chet, Hakan Bilen
Detecting temporal extents of human actions in videos is a challenging computer vision problem that requires detailed manual supervision including frame-level labels. This expensiv…