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 …
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 …
Learning object-specific distance from a monocular image
Environment perception, including object detection and distance estimation, is one of the
most crucial tasks for autonomous driving. Many attentions have been paid on the object …
most crucial tasks for autonomous driving. Many attentions have been paid on the object …
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 …
D2GL: Dual-level dual-scale graph learning for sketch-based 3D shape retrieval
W Li, J Bai, H Zheng - Pattern Recognition, 2024 - Elsevier
Sketch-based 3D shape retrieval (SBSR) is an active research area in the computer vision
community, but it is still very challenging. One main reason is that existing deep learning …
community, but it is still very challenging. One main reason is that existing deep learning …
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 …
Hda2l: Hierarchical domain-augmented adaptive learning for sketch-based 3d shape retrieval
S Bai, J Bai - Knowledge-Based Systems, 2023 - Elsevier
The sketch-based 3D shape retrieval has been an active but challenging task for several
decades. In this paper, we deeply analyze the challenges and propose a novel Hierarchical …
decades. In this paper, we deeply analyze the challenges and propose a novel Hierarchical …
Uncertainty learning for noise resistant sketch-based 3d shape retrieval
Recently, sketch-based 3D shape retrieval has received growing attention in the community
of computer graphics and computer vision. Most previous works focus on the problem of how …
of computer graphics and computer vision. Most previous works focus on the problem of how …
Tell, imagine, and search: End-to-end learning for composing text and image to image retrieval
Composing Text and Image to Image Retrieval (CTI-IR) is an emerging task in computer
vision, which allows retrieving images relevant to a query image with text describing desired …
vision, which allows retrieving images relevant to a query image with text describing desired …
Jfln: Joint feature learning network for 2d sketch based 3d shape retrieval
Cross-modal retrieval attracts much research attention due to its wide applications in
numerous search systems. Sketch based 3D shape retrieval is a typical challenging cross …
numerous search systems. Sketch based 3D shape retrieval is a typical challenging cross …