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Triplet-center loss for multi-view 3d object retrieval
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 …
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
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 …
design problems into low-fidelity design concepts and prototypes through design search …
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 …
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 …
vision community. The main challenge is to alleviate the cross-modality discrepancies such …
Adversarial open domain adaptation for sketch-to-photo synthesis
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 …
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
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 …
Regularized diffusion process on bidirectional context for object retrieval
Diffusion process has advanced object retrieval greatly as it can capture the underlying
manifold structure. Recent studies have experimentally demonstrated that tensor product …
manifold structure. Recent studies have experimentally demonstrated that tensor product …
Learning barycentric representations of 3D shapes for sketch-based 3D shape retrieval
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 …
shapes are from two heterogeneous domains, which results in large discrepancy between …
Deep correlated holistic metric learning for sketch-based 3D shape retrieval
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 …
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
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 …
between sketches and 3D shapes. Since existing methods are trained and evaluated on the …