activity
20172023
most citedAnabranch Network for Camouflaged Object Segmentation

753 citations · 878 across the 12 of their papers we have counts for

collaborators

14 papers

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.CV2022★ 15 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.CV2021

Agent-Environment Network for Temporal Action Proposal Generation

Viet-Khoa Vo-Ho, Ngan Le, Kashu Yamazaki +2

Temporal action proposal generation is an essential and challenging task that aims at localizing temporal intervals containing human actions in untrimmed videos. Most of existing a…

cs.CV2021★ 753 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.CV2020★ 5 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…