Folgen
Kaili Wang
Kaili Wang
Bestätigte E-Mail-Adresse bei imec.be - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Visual explanation by interpretation: Improving visual feedback capabilities of deep neural networks
J Oramas, K Wang, T Tuytelaars
arXiv preprint arXiv:1712.06302, 2017
732017
Multiple exemplars-based hallucination for face super-resolution and editing
K Wang, J Oramas, T Tuytelaars
Proceedings of the Asian Conference on Computer Vision, 2020
102020
In defense of lstms for addressing multiple instance learning problems
K Wang, J Oramas, T Tuytelaars
Proceedings of the Asian Conference on Computer Vision, 2020
62020
An analysis of human-centered geolocation
K Wang, YH Huang, J Oramas, L Van Gool, T Tuytelaars
2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 2058-2066, 2018
62018
Soil Nutrients Drive Microbial Changes to Alter Surface Soil Aggregate Stability in Typical Grasslands
C Ren, K Liu, P Dou, X Shao, D Zhang, K Wang, X Liu, J Li, K Wang
Journal of Soil Science and Plant Nutrition 22 (4), 4943-4959, 2022
52022
Minmaxcam: Improving object coverage for cam-basedweakly supervised object localization
K Wang, J Oramas, T Tuytelaars
arXiv preprint arXiv:2104.14375, 2021
52021
Unpaired image-to-image shape translation across fashion data
K Wang, L Ma, J Oramas, L Van Gool, T Tuytelaars
2020 IEEE International Conference on Image Processing (ICIP), 206-210, 2020
42020
Integrated unpaired appearance-preserving shape translation across domains
K Wang, L Ma, J Oramas, L Van Gool, T Tuytelaars
arXiv preprint arXiv:1812.02134 6, 2018
42018
Towards Human-Understandable Visual Explanations: Imperceptible High-frequency Cues Can Better Be Removed
K Wang, J Oramas, T Tuytelaars
arXiv preprint arXiv:2104.07954, 2021
12021
Towards Human-Understandable Visual Explanations: Human Imperceptible Cues Can Better Be Removed
K Wang, J Oramas, T Tuytelaars
2021
Information Compensation for Deep Conditional Generative Networks
Z Wang, K Wang, T Tuytelaars, J Oramas
arXiv preprint arXiv:2001.08559, 2020
2020
Interpreting and Explaining Deep Models Visually.
OM José, K Wang, T Tuytelaars
BNAIC/BENELEARN 2491, 2019
2019
An Iterative Approach for Multiple Instance Learning Problems
K Wang, J Oramas, T Tuytelaars
CoRR, 2019
2019
An Unpaired Shape Transforming Method for Image Translation and Cross-Domain Retrieval
K Wang, L Ma, J Oramas, L Van Gool, T Tuytelaars
arXiv preprint arXiv:1812.02134, 2018
2018
A Simple Baseline for Multiple Instance and Weakly Supervised Learning
K Wang, J Oramas, T Tuytelaars
Supplementary Material for: In Defense of LSTMs for addressing Multiple Instance Learning Problems
K Wang, J Oramas, T Tuytelaars
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–16