activity
20142026
most citedCBAM: Convolutional Block Attention Module

336 citations · 854 across the 53 of their papers we have counts for

collaborators
Showing 2016Show all

5 papers · 1 filter

cs.CV2016★ 5 cited

Action-Driven Object Detection with Top-Down Visual Attentions

Donggeun Yoo, Sunggyun Park, Kyunghyun Paeng +2

A dominant paradigm for deep learning based object detection relies on a "bottom-up" approach using "passive" scoring of class agnostic proposals. These approaches are efficient bu…

cs.CV2016

Robust and Globally Optimal Manhattan Frame Estimation in Near Real Time

Kyungdon Joo, Tae-Hyun Oh, Junsik Kim +1

Most man-made environments, such as urban and indoor scenes, consist of a set of parallel and orthogonal planar structures. These structures are approximated by the Manhattan world…

cs.CV2016

Fine-scale Surface Normal Estimation using a Single NIR Image

Youngjin Yoon, Gyeongmin Choe, Namil Kim +2

We present surface normal estimation using a single near infrared (NIR) image. We are focusing on fine-scale surface geometry captured with an uncalibrated light source. To tackle…

cs.CV2016

Pixel-Level Domain Transfer

Donggeun Yoo, Namil Kim, Sunggyun Park +2

We present an image-conditional image generation model. The model transfers an input domain to a target domain in semantic level, and generates the target image in pixel level. To…

cs.CV2016★ 4 cited

Human Attention Estimation for Natural Images: An Automatic Gaze Refinement Approach

Jinsoo Choi, Tae-Hyun Oh, In So Kweon

Photo collections and its applications today attempt to reflect user interactions in various forms. Moreover, photo collections aim to capture the users' intention with minimum eff…