55 citations · 99 across the 18 of their papers we have counts for
19 papers
A Top-Down Framework for Metric-Scale Athlete Localization from Single Broadcast Frames
Thanh-Khoi Nguyen, Hoang-Phuc Nguyen, Linh-Huynh +1
Accurate world-coordinate localization of athletes from single-frame broadcast footage is inherently challenging due to extreme scale disparities in ultra-high-resolution imagery.…
SoccerNet 2026 Challenges Results
Anthony Cioppa, Silvio Giancola, Håkan Ardö +102
The SoccerNet 2026 Challenges constitute the sixth annual edition of the SoccerNet open benchmarking effort, dedicated to advancing computer vision research in sports video underst…
NTIRE 2025 challenge on Text to Image Generation Model Quality Assessment
Shuhao Han, Haotian Fan, Fangyuan Kong +112
This paper reports on the NTIRE 2025 challenge on Text to Image (T2I) generation model quality assessment, which will be held in conjunction with the New Trends in Image Restoratio…
SAM-EG: Segment Anything Model with Egde Guidance framework for efficient Polyp Segmentation
Quoc-Huy Trinh, Hai-Dang Nguyen, Bao-Tram Nguyen Ngoc +3
Polyp segmentation, a critical concern in medical imaging, has prompted numerous proposed methods aimed at enhancing the quality of segmented masks. While current state-of-the-art…
PGDS: Pose-Guidance Deep Supervision for Mitigating Clothes-Changing in Person Re-Identification
Quoc-Huy Trinh, Nhat-Tan Bui, Dinh-Hieu Hoang +6
Person Re-Identification (Re-ID) task seeks to enhance the tracking of multiple individuals by surveillance cameras. It supports multimodal tasks, including text-based person retri…
CamoFA: A Learnable Fourier-based Augmentation for Camouflage Segmentation
Minh-Quan Le, Minh-Triet Tran, Trung-Nghia Le +2
Camouflaged object detection (COD) and camouflaged instance segmentation (CIS) aim to recognize and segment objects that are blended into their surroundings, respectively. While se…
M^2UNet: MetaFormer Multi-scale Upsampling Network for Polyp Segmentation
Quoc-Huy Trinh, Nhat-Tan Bui, Trong-Hieu Nguyen Mau +4
Polyp segmentation has recently garnered significant attention, and multiple methods have been formulated to achieve commendable outcomes. However, these techniques often confront…
TextANIMAR: Text-based 3D Animal Fine-Grained Retrieval
Trung-Nghia Le, Tam V. Nguyen, Minh-Quan Le +30
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 issu…
SketchANIMAR: Sketch-based 3D Animal Fine-Grained Retrieval
Trung-Nghia Le, Tam V. Nguyen, Minh-Quan Le +31
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 aug…
MaskDiff: Modeling Mask Distribution with Diffusion Probabilistic Model for Few-Shot Instance Segmentation
Minh-Quan Le, Tam V. Nguyen, Trung-Nghia Le +3
Few-shot instance segmentation extends the few-shot learning paradigm to the instance segmentation task, which tries to segment instance objects from a query image with a few annot…
Multi Kernel Positional Embedding ConvNeXt for Polyp Segmentation
Trong-Hieu Nguyen Mau, Quoc-Huy Trinh, Nhat-Tan Bui +2
Medical image segmentation is the technique that helps doctor view and has a precise diagnosis, particularly in Colorectal Cancer. Specifically, with the increase in cases, the dia…
SHREC 2022 Track on Online Detection of Heterogeneous Gestures
Ariel Caputo, Marco Emporio, Andrea Giachetti +10
This paper presents the outcomes of a contest organized to evaluate methods for the online recognition of heterogeneous gestures from sequences of 3D hand poses. The task is the de…
SHREC'22 Track: Sketch-Based 3D Shape Retrieval in the Wild
Jie Qin, Shuaihang Yuan, Jiaxin Chen +22
Sketch-based 3D shape retrieval (SBSR) is an important yet challenging task, which has drawn more and more attention in recent years. Existing approaches address the problem in a r…
SHREC 2022: Fitting and recognition of simple geometric primitives on point clouds
Chiara Romanengo, Andrea Raffo, Silvia Biasotti +17
This paper presents the methods that have participated in the SHREC 2022 track on the fitting and recognition of simple geometric primitives on point clouds. As simple primitives w…
SHREC 2022: pothole and crack detection in the road pavement using images and RGB-D data
Elia Moscoso Thompson, Andrea Ranieri, Silvia Biasotti +6
This paper describes the methods submitted for evaluation to the SHREC 2022 track on pothole and crack detection in the road pavement. A total of 7 different runs for the semantic…
GUNNEL: Guided Mixup Augmentation and Multi-Model Fusion for Aquatic Animal Segmentation
Minh-Quan Le, Trung-Nghia Le, Tam V. Nguyen +2
Recent years have witnessed great advances in object segmentation research. In addition to generic objects, aquatic animals have attracted research attention. Deep learning-based m…
SHREC 2021: Track on Skeleton-based Hand Gesture Recognition in the Wild
Ariel Caputo, Andrea Giachetti, Simone Soso +16
Gesture recognition is a fundamental tool to enable novel interaction paradigms in a variety of application scenarios like Mixed Reality environments, touchless public kiosks, ente…
SHREC 2021: Retrieval and classification of protein surfaces equipped with physical and chemical properties
Andrea Raffo, Ulderico Fugacci, Silvia Biasotti +21
This paper presents the methods that have participated in the SHREC 2021 contest on retrieval and classification of protein surfaces on the basis of their geometry and physicochemi…
Camouflaged Instance Segmentation In-The-Wild: Dataset, Method, and Benchmark Suite
Trung-Nghia Le, Yubo Cao, Tan-Cong Nguyen +5
This paper pushes the envelope on decomposing camouflaged regions in an image into meaningful components, namely, camouflaged instances. To promote the new task of camouflaged inst…