activity
20122017
most citedNTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis

374 citations · 450 across the 10 of their papers we have counts for

collaborators

10 papers

cs.RO2017★ 11 cited

Tracking objects using 3D object proposals

Ramanpreet Singh Pahwa, Tian Tsong Ng, Minh N. Do

3D object proposals, quickly detected regions in a 3D scene that likely contain an object of interest, are an effective approach to improve the computational efficiency and accurac…

cs.CV2017★ 26 cited

Locating 3D Object Proposals: A Depth-Based Online Approach

Ramanpreet Singh Pahwa, Jiangbo Lu, Nianjuan Jiang +2

2D object proposals, quickly detected regions in an image that likely contain an object of interest, are an effective approach for improving the computational efficiency and accura…

cs.CV2017★ 7 cited

Calibration of depth cameras using denoised depth images

Ramanpreet Singh Pahwa, Minh N. Do, Tian Tsong Ng +1

Depth sensing devices have created various new applications in scientific and commercial research with the advent of Microsoft Kinect and PMD (Photon Mixing Device) cameras. Most o…

cs.CV2016★ 374 cited

NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis

Amir Shahroudy, Jun Liu, Tian-Tsong Ng +1

Recent approaches in depth-based human activity analysis achieved outstanding performance and proved the effectiveness of 3D representation for classification of action classes. Cu…

cs.CV2016★ 16 cited

Deep Multimodal Feature Analysis for Action Recognition in RGB+D Videos

Amir Shahroudy, Tian-Tsong Ng, Yihong Gong +1

Single modality action recognition on RGB or depth sequences has been extensively explored recently. It is generally accepted that each of these two modalities has different streng…

cs.MM2016★ 5 cited

Revisiting copy-move forgery detection by considering realistic image with similar but genuine objects

Ye Zhu, Tian-Tsong Ng, Xuanjing Shen +1

Many images, of natural or man-made scenes often contain Similar but Genuine Objects (SGO). This poses a challenge to existing Copy-Move Forgery Detection (CMFD) methods which matc…