1 code implementation • 23 Dec 2023 • Zhangli Lu, Chuqi Lei, Kaili Wang, Libo Qin, Jing Tang, Min Li
DTIAM, for the first time, provides a unified framework for accurate and robust prediction of drug-target interactions, binding affinities, and activation/inhibition mechanisms.
no code implementations • 16 Nov 2023 • Melvyn Li, Kaili Wang, Yicong Liu, Khandker Nurul Habib
This paper introduces an innovative travel survey methodology that utilizes Google Location History (GLH) data to generate travel diaries for transportation demand analysis.
no code implementations • 21 Sep 2022 • Yicong Liu, Kaili Wang, Patrick Loa, Khandker Nurul Habib
This study developed models to predict household' weekly home delivery frequencies.
1 code implementation • 18 Jan 2022 • Mike Wu, Will McTighe, Kaili Wang, Istvan A. Seres, Nick Bax, Manuel Puebla, Mariano Mendez, Federico Carrone, Tomás De Mattey, Herman O. Demaestri, Mariano Nicolini, Pedro Fontana
Mixers, such as Tornado Cash, were developed to preserve privacy through "mixing" transactions with those of others in an anonymity pool, making it harder to link deposits and withdrawals from the pool.
no code implementations • 29 Sep 2021 • Kaili Wang, Jose Oramas, Tinne Tuytelaars
Explainable AI (XAI) methods focus on explaining what a neural network has learned - in other words, identifying the features that are the most influential to the prediction.
no code implementations • 29 Apr 2021 • Kaili Wang, Jose Oramas, Tinne Tuytelaars
One of the most common problems of weakly supervised object localization is that of inaccurate object coverage.
no code implementations • 16 Apr 2021 • Kaili Wang, Jose Oramas, Tinne Tuytelaars
Explainable AI (XAI) methods focus on explaining what a neural network has learned - in other words, identifying the features that are the most influential to the prediction.
no code implementations • 16 Sep 2020 • Kaili Wang, Jose Oramas, Tinne Tuytelaars
Given a really low-resolution input image of a face (say 16x16 or 8x8 pixels), the goal of this paper is to reconstruct a high-resolution version thereof.
no code implementations • 23 Jan 2020 • Zehao Wang, Kaili Wang, Tinne Tuytelaars, Jose Oramas
In recent years, unsupervised/weakly-supervised conditional generative adversarial networks (GANs) have achieved many successes on the task of modeling and generating data.
no code implementations • 11 Sep 2019 • Kaili Wang, Jose Oramas, Tinne Tuytelaars
LSTMs have a proven track record in analyzing sequential data.
no code implementations • 5 Dec 2018 • Kaili Wang, Liqian Ma, Jose Oramas, Luc van Gool, Tinne Tuytelaars
We address the problem of unpaired geometric image-to-image translation.
no code implementations • ICLR 2019 • Jose Oramas, Kaili Wang, Tinne Tuytelaars
In this paper, we propose a novel scheme for both interpretation as well as explanation in which, given a pretrained model, we automatically identify internal features relevant for the set of classes considered by the model, without relying on additional annotations.
2 code implementations • 10 Jul 2017 • Kaili Wang, Yu-Hui Huang, Jose Oramas, Luc van Gool, Tinne Tuytelaars
Experiments on the Fashion 144k and a Pinterest-based dataset show that the automatic methods succeed at this task to a reasonable extent.