10 citations · 13 across the 2 of their papers we have counts for
10 papers
Hyperspectral Image Super-Resolution with Spectral Mixup and Heterogeneous Datasets
Ke Li, Dengxin Dai, Ender Konukoglu +1
This work studies Hyperspectral image (HSI) super-resolution (SR). HSI SR is characterized by high-dimensional data and a limited amount of training examples. This exacerbates the…
Generating Unobserved Alternatives
Shichong Peng, Ke Li
We consider problems where multiple predictions can be considered correct, but only one of them is given as supervision. This setting differs from both the regression and class-con…
DeRF: Decomposed Radiance Fields
Daniel Rebain, Wei Jiang, Soroosh Yazdani +3
With the advent of Neural Radiance Fields (NeRF), neural networks can now render novel views of a 3D scene with quality that fools the human eye. Yet, generating these images is ve…
Knee Point Identification Based on Trade-Off Utility
Ke Li, Haifeng Nie, Huifu Gao +1
Knee points, characterised as their smallest trade-off loss at all objectives, are attractive to decision makers in multi-criterion decision-making. In contrast, other Pareto-optim…
Inclusive GAN: Improving Data and Minority Coverage in Generative Models
Ning Yu, Ke Li, Peng Zhou +3
Generative Adversarial Networks (GANs) have brought about rapid progress towards generating photorealistic images. Yet the equitable allocation of their modeling capacity among sub…
Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene Text
Difei Gao, Ke Li, Ruiping Wang +2
Answering questions that require reading texts in an image is challenging for current models. One key difficulty of this task is that rare, polysemous, and ambiguous words frequent…