Zobrazeno 1 - 10
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pro vyhledávání: '"Tam, V."'
Autor:
Hoang, Trong-Vu, Nguyen, Quang-Binh, Ly, Duy-Nam, Le, Khanh-Duy, Nguyen, Tam V., Tran, Minh-Triet, Le, Trung-Nghia
Drawing is an art that enables people to express their imagination and emotions. However, individuals usually face challenges in drawing, especially when translating conceptual ideas into visually coherent representations and bridging the gap between
Externí odkaz:
http://arxiv.org/abs/2403.08876
Creating thematic collections in industries demands innovative designs and cohesive concepts. Designers may face challenges in maintaining thematic consistency when drawing inspiration from existing objects, landscapes, or artifacts. While AI-powered
Externí odkaz:
http://arxiv.org/abs/2403.08746
Camouflaged object detection (COD) and camouflaged instance segmentation (CIS) aim to recognize and segment objects that are blended into their surroundings, respectively. While several deep neural network models have been proposed to tackle those ta
Externí odkaz:
http://arxiv.org/abs/2308.15660
Autor:
Vu, Anh-Khoa Nguyen, Do, Thanh-Toan, Nguyen, Vinh-Tiep, Le, Tam, Tran, Minh-Triet, Nguyen, Tam V.
Few-shot object detection aims to simultaneously localize and classify the objects in an image with limited training samples. However, most existing few-shot object detection methods focus on extracting the features of a few samples of novel classes
Externí odkaz:
http://arxiv.org/abs/2308.15005
Autor:
Nguyen-Ngoc, Khoi-Nguyen, Phan-Nguyen, Thanh-Tung, Le, Khanh-Duy, Nguyen, Tam V., Tran, Minh-Triet, Le, Trung-Nghia
The fashion e-commerce industry has witnessed significant growth in recent years, prompting exploring image-based virtual try-on techniques to incorporate Augmented Reality (AR) experiences into online shopping platforms. However, existing research h
Externí odkaz:
http://arxiv.org/abs/2308.13798
Autor:
Le, Minh-Hien, Chu, Chi-Bien, Le, Khanh-Duy, Nguyen, Tam V., Tran, Minh-Triet, Le, Trung-Nghia
Interior design is crucial in creating aesthetically pleasing and functional indoor spaces. However, developing and editing interior design concepts requires significant time and expertise. We propose Virtual Interior DESign (VIDES) system in respons
Externí odkaz:
http://arxiv.org/abs/2308.13795
Autor:
Vu, Anh-Khoa Nguyen, Do, Thanh-Toan, Nguyen, Nhat-Duy, Nguyen, Vinh-Tiep, Ngo, Thanh Duc, Nguyen, Tam V.
Few-shot learning is proposed to tackle the problem of scarce training data in novel classes. However, prior works in instance-level few-shot learning have paid less attention to effectively utilizing the relationship between categories. In this pape
Externí odkaz:
http://arxiv.org/abs/2304.07459
Autor:
Nguyen, Thanh-Danh, Vu, Anh-Khoa Nguyen, Nguyen, Nhat-Duy, Nguyen, Vinh-Tiep, Ngo, Thanh Duc, Do, Thanh-Toan, Tran, Minh-Triet, Nguyen, Tam V.
Camouflaged object detection and segmentation is a new and challenging research topic in computer vision. There is a serious issue of lacking data on concealed objects such as camouflaged animals in natural scenes. In this paper, we address the probl
Externí odkaz:
http://arxiv.org/abs/2304.07444
Autor:
Le, Trung-Nghia, Nguyen, Tam V., Le, Minh-Quan, Nguyen, Trong-Thuan, Huynh, Viet-Tham, Do, Trong-Le, Le, Khanh-Duy, Tran, Mai-Khiem, Hoang-Xuan, Nhat, Nguyen-Ho, Thang-Long, Nguyen, Vinh-Tiep, Le-Pham, Nhat-Quynh, Pham, Huu-Phuc, Hoang, Trong-Vu, Nguyen, Quang-Binh, Nguyen-Mau, Trong-Hieu, Huynh, Tuan-Luc, Le, Thanh-Danh, Nguyen-Ha, Ngoc-Linh, Truong-Thuy, Tuong-Vy, Phong, Truong Hoai, Diep, Tuong-Nghiem, Ho, Khanh-Duy, Nguyen, Xuan-Hieu, Tran, Thien-Phuc, Yang, Tuan-Anh, Tran, Kim-Phat, Hoang, Nhu-Vinh, Nguyen, Minh-Quang, Vo, Hoai-Danh, Doan, Minh-Hoa, Nguyen, Hai-Dang, Sugimoto, Akihiro, Tran, Minh-Triet
The retrieval of 3D objects has gained significant importance in recent years due to its broad range of applications in computer vision, computer graphics, virtual reality, and augmented reality. However, the retrieval of 3D objects presents signific
Externí odkaz:
http://arxiv.org/abs/2304.05731
Autor:
Le, Trung-Nghia, Nguyen, Tam V., Le, Minh-Quan, Nguyen, Trong-Thuan, Huynh, Viet-Tham, Do, Trong-Le, Le, Khanh-Duy, Tran, Mai-Khiem, Hoang-Xuan, Nhat, Nguyen-Ho, Thang-Long, Nguyen, Vinh-Tiep, Diep, Tuong-Nghiem, Ho, Khanh-Duy, Nguyen, Xuan-Hieu, Tran, Thien-Phuc, Yang, Tuan-Anh, Tran, Kim-Phat, Hoang, Nhu-Vinh, Nguyen, Minh-Quang, Nguyen, E-Ro, Nguyen-Nhat, Minh-Khoi, To, Tuan-An, Huynh-Le, Trung-Truc, Nguyen, Nham-Tan, Luong, Hoang-Chau, Phong, Truong Hoai, Le-Pham, Nhat-Quynh, Pham, Huu-Phuc, Hoang, Trong-Vu, Nguyen, Quang-Binh, Nguyen, Hai-Dang, Sugimoto, Akihiro, Tran, Minh-Triet
3D object retrieval is an important yet challenging task that has drawn more and more attention in recent years. While existing approaches have made strides in addressing this issue, they are often limited to restricted settings such as image and ske
Externí odkaz:
http://arxiv.org/abs/2304.06053