Danhang Tang
Danhang Tang
Research Scientist, Google
確認したメール アドレス: google.com
タイトル引用先
Latent regression forest: Structured estimation of 3d articulated hand posture
D Tang, H Jin Chang, A Tejani, TK Kim
Proceedings of the IEEE conference on computer vision and pattern …, 2014
2262014
Real-time articulated hand pose estimation using semi-supervised transductive regression forests
D Tang, TH Yu, TK Kim
Proceedings of the IEEE international conference on computer vision, 3224-3231, 2013
1922013
Latent-class hough forests for 3D object detection and pose estimation
A Tejani, D Tang, R Kouskouridas, TK Kim
European Conference on Computer Vision, 462-477, 2014
1502014
Opening the black box: Hierarchical sampling optimization for estimating human hand pose
D Tang, J Taylor, P Kohli, C Keskin, TK Kim, J Shotton
Proceedings of the IEEE international conference on computer vision, 3325-3333, 2015
892015
Fast Pedestrian Detection by Cascaded Random Forest with Dominant Orientation Templates.
D Tang, Y Liu, TK Kim
BMVC, 1-11, 2012
472012
Conditional convolutional neural network for modality-aware face recognition
C Xiong, X Zhao, D Tang, K Jayashree, S Yan, TK Kim
Proceedings of the IEEE International Conference on Computer Vision, 3667-3675, 2015
302015
Articulated distance fields for ultra-fast tracking of hands interacting
J Taylor, V Tankovich, D Tang, C Keskin, D Kim, P Davidson, A Kowdle, ...
ACM Transactions on Graphics (TOG) 36 (6), 244, 2017
172017
Spatio-temporal hough forest for efficient detection–localisation–recognition of fingerwriting in egocentric camera
HJ Chang, G Garcia-Hernando, D Tang, TK Kim
Computer Vision and Image Understanding 148, 87-96, 2016
142016
Latent-class hough forests for 6 DoF object pose estimation
A Tejani, R Kouskouridas, A Doumanoglou, D Tang, TK Kim
IEEE transactions on pattern analysis and machine intelligence 40 (1), 119-132, 2017
132017
Latent regression forest: structured estimation of 3d hand poses
D Tang, HJ Chang, A Tejani, TK Kim
IEEE Transactions on Pattern Analysis and Machine Intelligence 39 (7), 1374-1387, 2016
112016
Estimator training method and pose estimating method using depth image
JJ Han, D Tang, TK Kim, SJ Han, BI Yoo, CK Choi, A Tejani, HJ Chang
US Patent 9,449,392, 2016
52016
Estimator training method and pose estimating method using depth image
JJ Han, D Tang, TK Kim, SJ Han, BI Yoo, CK Choi, A Tejani, HJ Chang
US Patent 9,449,392, 2016
52016
Latent-class hough forests for 6 dof object pose estimation
R Kouskouridas, A Tejani, A Doumanoglou, D Tang, TK Kim
arXiv preprint arXiv:1602.01464, 2016
52016
A comparative study of video-based object recognition from an egocentric viewpoint
M Shao, D Tang, Y Liu, TK Kim
Neurocomputing 171, 982-990, 2016
42016
The need 4 speed in real-time dense visual tracking
A Kowdle, C Rhemann, S Fanello, A Tagliasacchi, J Taylor, P Davidson, ...
SIGGRAPH Asia 2018 Technical Papers, 220, 2018
32018
Opening the black box: Hierarchical sampling optimization for hand pose estimation
D Tang, Q Ye, S Yuan, J Taylor, P Kohli, C Keskin, TK Kim, J Shotton
IEEE transactions on pattern analysis and machine intelligence, 2018
32018
3D hand pose regression with variants of decision forests
D Tang
Imperial College London, 2015
22015
Real-time compression and streaming of 4D performances
D Tang, M Dou, P Lincoln, P Davidson, K Guo, J Taylor, S Fanello, ...
SIGGRAPH Asia 2018 Technical Papers, 256, 2018
12018
Hand tracking based on articulated distance field
JJ Taylor, V Tankovich, D Tang, C Keskin, APM Kowdle, PL Davidson, ...
US Patent App. 15/994,563, 2018
2018
System and method for active stereo depth sensing
APM Kowdle, V Tankovich, D Tang, C Keskin, JJ Taylor, PL Davidson, ...
US Patent App. 15/994,509, 2018
2018
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