Triplet-center loss for multi-view 3d object retrieval

X He, Y Zhou, Z Zhou, S Bai… - Proceedings of the IEEE …, 2018 - openaccess.thecvf.com
Most existing 3D object recognition algorithms focus on leveraging the strong discriminative
power of deep learning models with softmax loss for the classification of 3D data, while …

Deep learning methods of cross-modal tasks for conceptual design of product shapes: A review

X Li, Y Wang, Z Sha - Journal of Mechanical Design, 2023 - par.nsf.gov
Conceptual design is the foundational stage of a design process that translates ill-defined
design problems into low-fidelity design concepts and prototypes through design search …

Deep learning for free-hand sketch: A survey

P Xu, TM Hospedales, Q Yin, YZ Song… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
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 …

PAGML: Precise alignment guided metric learning for sketch-based 3D shape retrieval

S Bai, J Bai, H Xu, J Tuo, M Liu - Image and Vision Computing, 2023 - Elsevier
Sketch-based 3D shape retrieval has always been a hot research topic in the computer
vision community. The main challenge is to alleviate the cross-modality discrepancies such …

Adversarial open domain adaptation for sketch-to-photo synthesis

X **ang, D Liu, X Yang, Y Zhu… - Proceedings of the …, 2022 - openaccess.thecvf.com
In this paper, we explore open-domain sketch-to-photo translation, which aims to synthesize
a realistic photo from a freehand sketch with its class label, even if the sketches of that class …

Toward fine-grained sketch-based 3D shape retrieval

A Qi, Y Gryaditskaya, J Song, Y Yang… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
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 …

Regularized diffusion process on bidirectional context for object retrieval

S Bai, X Bai, Q Tian, LJ Latecki - IEEE Transactions on Pattern …, 2018 - ieeexplore.ieee.org
Diffusion process has advanced object retrieval greatly as it can capture the underlying
manifold structure. Recent studies have experimentally demonstrated that tensor product …

Learning barycentric representations of 3D shapes for sketch-based 3D shape retrieval

J **e, G Dai, F Zhu, Y Fang - Proceedings of the IEEE …, 2017 - openaccess.thecvf.com
Retrieving 3D shapes with sketches is a challenging problem since 2D sketches and 3D
shapes are from two heterogeneous domains, which results in large discrepancy between …

Deep correlated holistic metric learning for sketch-based 3D shape retrieval

G Dai, J **e, Y Fang - IEEE Transactions on Image Processing, 2018 - ieeexplore.ieee.org
How to effectively retrieve desired 3D models with simple queries is a long-standing
problem in computer vision community. The model-based approach is quite straightforward …

Domain disentangled generative adversarial network for zero-shot sketch-based 3d shape retrieval

R Xu, Z Han, L Hui, J Qian, J **e - … of the AAAI Conference on Artificial …, 2022 - ojs.aaai.org
Sketch-based 3D shape retrieval is a challenging task due to the large domain discrepancy
between sketches and 3D shapes. Since existing methods are trained and evaluated on the …