activity
20172022
most citedAnabranch Network for Camouflaged Object Segmentation

753 citations · 776 across the 7 of their papers we have counts for

collaborators
Showing cs.CVShow all

9 papers · 1 filter

cs.CV202215 cited

ABN: Agent-Aware Boundary Networks for Temporal Action Proposal Generation

Khoa Vo, Kashu Yamazaki, Sang Truong +3

Temporal action proposal generation (TAPG) aims to estimate temporal intervals of actions in untrimmed videos, which is a challenging yet plays an important role in many tasks of v…

cs.CV2021753 cited

Anabranch Network for Camouflaged Object Segmentation

Trung-Nghia Le, Tam V. Nguyen, Zhongliang Nie +2

Camouflaged objects attempt to conceal their texture into the background and discriminating them from the background is hard even for human beings. The main objective of this paper…

cs.CV2020

Minimal Rolling Shutter Absolute Pose with Unknown Focal Length and Radial Distortion

Zuzana Kukelova, Cenek Albl, Akihiro Sugimoto +2

The internal geometry of most modern consumer cameras is not adequately described by the perspective projection. Almost all cameras exhibit some radial lens distortion and are equi…

cs.CV20205 cited

TetraTSDF: 3D human reconstruction from a single image with a tetrahedral outer shell

Hayato Onizuka, Zehra Hayirci, Diego Thomas +3

Recovering the 3D shape of a person from its 2D appearance is ill-posed due to ambiguities. Nevertheless, with the help of convolutional neural networks (CNN) and prior knowledge o…

cs.CV2019

Two-Stream FCNs to Balance Content and Style for Style Transfer

Duc Minh Vo, Akihiro Sugimoto

Style transfer is to render given image contents in given styles, and it has an important role in both computer vision fundamental research and industrial applications. Following t…

cs.CV2019

Visual-Relation Conscious Image Generation from Structured-Text

Duc Minh Vo, Akihiro Sugimoto

We propose an end-to-end network for image generation from given structured-text that consists of the visual-relation layout module and the pyramid of GANs, namely stacking-GANs. O…