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20212026
most citedCamouflaged Instance Segmentation In-The-Wild: Dataset, Method, and Benchmark Suite

55 citations · 99 across the 18 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cs.CV2023

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…

cs.CV2023★ 3 cited

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…

eess.IV2023★ 1 cited

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…

cs.CV2023★ 2 cited

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…

cs.CV2023★ 1 cited

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…

cs.CV2023

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…

eess.IV2023

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…