Sethuraman Panchanathan
Sethuraman Panchanathan
Other namesS Panchanathan
Professor of Computer Science and Engineering, Arizona State University
Verified email at - Homepage
Cited by
Cited by
Deep hashing network for unsupervised domain adaptation
H Venkateswara, J Eusebio, S Chakraborty, S Panchanathan
Proceedings of the IEEE conference on computer vision and pattern …, 2017
Review of image and video indexing techniques
F Idris, S Panchanathan
Journal of visual communication and image representation 8 (2), 146-166, 1997
Effect of fatigue on psychomotor and cognitive skills
K Kahol, MJ Leyba, M Deka, V Deka, S Mayes, M Smith, JJ Ferrara, ...
The American Journal of Surgery 195 (2), 195-204, 2008
Error resiliency schemes in H. 264/AVC standard
S Kumar, L Xu, MK Mandal, S Panchanathan
Journal of Visual Communication and Image Representation 17 (2), 425-450, 2006
Image indexing using moments and wavelets
MK Mandal, T Aboulnasr, S Panchanathan
IEEE Transactions on Consumer Electronics 42 (3), 557-565, 1996
Multisource domain adaptation and its application to early detection of fatigue
R Chattopadhyay, Q Sun, W Fan, I Davidson, S Panchanathan, J Ye
ACM Transactions on Knowledge Discovery from Data (TKDD) 6 (4), 1-26, 2012
Multimodal emotion recognition using deep learning architectures
H Ranganathan, S Chakraborty, S Panchanathan
2016 IEEE winter conference on applications of computer vision (WACV), 1-9, 2016
VLSI implementation of discrete wavelet transform
A Grzeszczak, MK Mandal, S Panchanathan
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 4 (4), 421-433, 1996
A critical evaluation of image and video indexing techniques in the compressed domain
MK Mandal, F Idris, S Panchanathan
Image and Vision Computing 17 (7), 513-529, 1999
Reconfigurable processing
AR Dasu, A Akoglu, A Sudarsanam, S Panchanathan
US Patent 8,281,297, 2012
Biased manifold embedding: A framework for person-independent head pose estimation
VN Balasubramanian, J Ye, S Panchanathan
2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-7, 2007
A two-stage weighting framework for multi-source domain adaptation
Q Sun, R Chattopadhyay, S Panchanathan, J Ye
Advances in neural information processing systems 24, 2011
A virtual reality simulator for orthopedic basic skills: a design and validation study
M Vankipuram, K Kahol, A McLaren, S Panchanathan
Journal of biomedical informatics 43 (5), 661-668, 2010
Automated gesture segmentation from dance sequences
K Kahol, P Tripathi, S Panchanathan
Sixth IEEE International Conference on Automatic Face and Gesture …, 2004
Leveraging seen and unseen semantic relationships for generative zero-shot learning
MR Vyas, H Venkateswara, S Panchanathan
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Fast wavelet histogram techniques for image indexing
MK Mandal, T Aboulnasr, S Panchanathan
Computer Vision and Image Understanding 75 (1-2), 99-110, 1999
A methodology for evaluating robustness of face recognition algorithms with respect to variations in pose angle and illumination angle
G Little, S Krishna, J Black, S Panchanathan
Proceedings.(ICASSP'05). IEEE International Conference on Acoustics, Speech …, 2005
Analysis of low resolution accelerometer data for continuous human activity recognition
NC Krishnan, S Panchanathan
2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008
Using a haptic belt to convey non-verbal communication cues during social interactions to individuals who are blind
T McDaniel, S Krishna, V Balasubramanian, D Colbry, S Panchanathan
2008 IEEE international workshop on haptic audio visual environments and …, 2008
Deep-learning systems for domain adaptation in computer vision: Learning transferable feature representations
H Venkateswara, S Chakraborty, S Panchanathan
IEEE Signal Processing Magazine 34 (6), 117-129, 2017
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