9 citations · 38 across the 16 of their papers we have counts for
28 papers
Patch-level Gaze Distribution Prediction for Gaze Following
Qiaomu Miao, Minh Hoai, Dimitris Samaras
Gaze following aims to predict where a person is looking in a scene, by predicting the target location, or indicating that the target is located outside the image. Recent works det…
Self-Supervised Learning with Multi-View Rendering for 3D Point Cloud Analysis
Bach Tran, Binh-Son Hua, Anh Tuan Tran +1
Recently, great progress has been made in 3D deep learning with the emergence of deep neural networks specifically designed for 3D point clouds. These networks are often trained fr…
Exemplar Free Class Agnostic Counting
Viresh Ranjan, Minh Hoai
We tackle the task of Class Agnostic Counting, which aims to count objects in a novel object category at test time without any access to labeled training data for that category. Al…
Learning To Count Everything
Viresh Ranjan, Udbhav Sharma, Thu Nguyen +1
Existing works on visual counting primarily focus on one specific category at a time, such as people, animals, and cells. In this paper, we are interested in counting everything, t…
Progressive Semantic Segmentation
Chuong Huynh, Anh Tran, Khoa Luu +1
The objective of this work is to segment high-resolution images without overloading GPU memory usage or losing the fine details in the output segmentation map. The memory constrain…
Lipstick ain't enough: Beyond Color Matching for In-the-Wild Makeup Transfer
Thao Nguyen, Anh Tran, Minh Hoai
Makeup transfer is the task of applying on a source face the makeup style from a reference image. Real-life makeups are diverse and wild, which cover not only color-changing but al…