Towards a smarter hybrid energy storage system based on battery and ultracapacitor-A critical review on topology and energy management
Abstract Hybrid Energy Storage System (HESS) can well solve the problems faced by
alternative single energy storage system in terms of meeting the needs of high specific …
alternative single energy storage system in terms of meeting the needs of high specific …
Deep learning for free-hand sketch: A survey
Free-hand sketches are highly illustrative, and have been widely used by humans to depict
objects or stories from ancient times to the present. The recent prevalence of touchscreen …
objects or stories from ancient times to the present. The recent prevalence of touchscreen …
Enhancing sketch-based image retrieval by cnn semantic re-ranking
This paper introduces a convolutional neural network (CNN) semantic re-ranking system to
enhance the performance of sketch-based image retrieval (SBIR). Distinguished from the …
enhance the performance of sketch-based image retrieval (SBIR). Distinguished from the …
Learning to sketch with shortcut cycle consistency
To see is to sketch--free-hand sketching naturally builds ties between human and machine
vision. In this paper, we present a novel approach for translating an object photo to a sketch …
vision. In this paper, we present a novel approach for translating an object photo to a sketch …
Sketchmate: Deep hashing for million-scale human sketch retrieval
We propose a deep hashing framework for sketch retrieval that, for the first time, works on a
multi-million scale human sketch dataset. Leveraging on this large dataset, we explore a few …
multi-million scale human sketch dataset. Leveraging on this large dataset, we explore a few …
Variational Bayesian learning for Dirichlet process mixture of inverted Dirichlet distributions in non-Gaussian image feature modeling
In this paper, we develop a novel variational Bayesian learning method for the Dirichlet
process (DP) mixture of the inverted Dirichlet distributions, which has been shown to be very …
process (DP) mixture of the inverted Dirichlet distributions, which has been shown to be very …
Generative domain-migration hashing for sketch-to-image retrieval
Due to the succinct nature of free-hand sketch drawings, sketch-based image retrieval
(SBIR) has abundant practical use cases in consumer electronics. However, SBIR remains a …
(SBIR) has abundant practical use cases in consumer electronics. However, SBIR remains a …
Multi-view linear discriminant analysis network
In many real-world applications, an object can be described from multiple views or styles,
leading to the emerging multi-view analysis. To eliminate the complicated (usually highly …
leading to the emerging multi-view analysis. To eliminate the complicated (usually highly …
Toward fine-grained sketch-based 3D shape retrieval
In this paper we study, for the first time, the problem of fine-grained sketch-based 3D shape
retrieval. We advocate the use of sketches as a fine-grained input modality to retrieve 3D …
retrieval. We advocate the use of sketches as a fine-grained input modality to retrieve 3D …
Domain generalization via optimal transport with metric similarity learning
Generalizing knowledge to unseen domains, where data and labels are unavailable, is
crucial for machine learning models. We tackle the domain generalization problem to learn …
crucial for machine learning models. We tackle the domain generalization problem to learn …