Recent (R) / Future (F) Publications (Past 12 Months):

[F_J_1].   G.-S. Hsu, A. Ambikapathi, and M.-S. Chen, “A Deep Learning Framework for Heart Rate Estimation from Facial Videos,” submitted to IEEE Access (Impact Factor: 3.56), Feb. 2019.

[R_C_1].   J.-S. Wang, A. Ambikapathi, Y. Han, S.-L Chung, H.-W. Ting, and C.-F. Chen, “Highlighted Deep Learning based Identification of Pharmaceutical Blister Packages,” In Proc. of 23rd IEEE ETFA, Torino, Italy, Sep. 4 - 7, 2018.

[R_C_2].   Y. Han, S.-L Chung, A. Ambikapathi, J.-S. Chan, W.-Y Lin, and S.-F. Su, “Robust Human Action Recognition Using Global Spatial-Temporal Attention for Human Skeleton Data,” In Proc. of IEEE IJCNN, Rio de Janeiro, Brazil, July 8 - 13, 2018.

[R_J_1].   G.-S. Hsu, A. Ambikapathi, S.-L Chung, and H.-C. Shie, “Robust Cross-Pose Face Recognition using Landmark Oriented Depth Warping,” Journal of Visual Communication and Image Representation (Impact Factor: 2.15), vol. 53, pp. 273-280, May 2018.

Patents:

[P1].  A. Ambikapathi, C.-C. Lin, and C.-H. Hsieh, “Training Method for Deep Learning System,” Pending US, China, and Taiwan patent. Patent Application No: PA2018021, June 2018.

[P2].  A. Ambikapathi, C.-C. Lin, and C.-H. Hsieh, “Defect Classification Method and System,” Pending US, China, and Taiwan patent. Patent Application No: PA2018020, June 2018.

[P3].  A. Ambikapathi, C.-C. Lin, and C.-H. Hsieh, “A Defect Detection Apparatus Using Deep Learning System and a Training Apparatus Comprising Thereof,” Pending US, China, and Taiwan patent. Patent Application No: PA2018019, June 2018.

[P4].  A. Ambikapathi, M.-T. Hsu, C.-L. Lu, and C.-C. Lin, “Defect Re-inspection Method and System,” Pending US, China, and Taiwan patent. Patent Application No: PA2018018, May 2018.

[P5].  A. Ambikapathi, M.-T. Hsu, and C.-C. Lin, “Optical Inspection Method, Optical Inspection Device and System,” Pending US, China, and Taiwan patent. Patent Application No: PA2018017, May 2018.

[P6]. C.-C. Tsou, A. Ambikapathi, and C.-C. Lin, “Method and Electronic Device for Evaluating Manual Defect Pattern Inspection Efficacy,” Pending US, China, and Taiwan patent. Patent Application No: PA2018016, April 2018.

[P7]. C.-H. Fang, C.-L. Lu, M.-T. Hsu, A. Ambikapathi, and C.-C. Lin, “Deep Learning Architecture for AOI Defect Classification - Auto Defect Judgement (ADJ),” Pending US, China, and Taiwan patent. Patent Application No: PA2017011, TW: 106145566, CN: 201810189495.5, Oct. 2017.

IEEE Journal Papers:

[J1]. A. Ambikapathi*, T.-H. Chan, C.-H. Lin, F.-S. Yang, C.-Y. Chi, and Y. Wang, “Convex optimization-based compartmental pharmacokinetic analysis for prostate tumor characterization using DCE-MRI,” IEEE Transactions on Biomedical Engineering, vol. 63, no. 4, pp. 707-720, April 2016. (* Corresponding Author) (Impact Factor: 2.35, JCR Journal Ranking 26/79) Download

[J2]. C.-H. Lin, W.-K. Ma, W.-C. Li, C.-Y. Chi, and A. Ambikapathi, “Identifiability of the simplex volume minimization criterion for blind hyperspectral unmixing: The no pure-pixel case,” IEEE Transactions on Geoscience and Remote Sensing, vol. 53, no. 10, pp. 5530-5546, Oct. 2015. (Impact Factor: 3.47, JCR Journal Ranking 13/243) Download

[J3]. W.-K. Ma, J. M. Bioucas-Dias, P. Gader, T.-H. Chan, N. Gillis, A. Plaza, A. Ambikapathi, and C.-Y. Chi, "Signal processing perspective on hyperspectral unmixing," IEEE Signal Processing Magazine, vol. 31, no. 1, pp. 67-81, Jan. 2014. (Impact Factor: 5.85, JCR Journal Ranking 15/243)  Download

[J4].  T.-H. Chan, A. Ambikapathi, W.-K. Ma, and  C.-Y. Chi, “Robust affine set fitting and fast simplex volume max-min for hyperspectral endmember extraction,” IEEE Trans. Geoscience and Remote Sensing, vol. 51, no. 7, pp. 3982-3997, July 2013.  (Impact Factor: 3.47, JCR Journal Ranking 13/243)  Download

[J5].  A. Ambikapathi, T.-H. Chan, C.-Y. Chi, and  K. Keizer, “Hyperspectral data geometry based estimation of number of endmembers using p−norm based pure pixel identification,” IEEE Trans. Geoscience and Remote Sensing, vol. 51, no. 5, pp. 2753-2769, May 2013. (Impact Factor: 3.47, JCR Journal  Ranking 13/243)  Download

[J6].  A. Ambikapathi, T.-H. Chan, W.-K.Ma, and C.-Y. Chi, “Chance constrained robust minimum volume enclosing simplex algorithm for     hyperspectral unmixing,” IEEE Trans. Geoscience and Remote Sensing, vol. 49, no. 11, pp. 4194-4209, Nov. 2011. (Impact Factor: 3.47, JCR Journal Ranking 13/243)  Download

[J7].  T.-H. Chan, W.-K. Ma, A. Ambikapathi, and C.-Y. Chi, “A simplex volume maximization framework for hyperspectral endmember extraction,”  IEEE Trans. Geoscience and Remote Sensing, vol. 49, no. 11, pp. 4177-4193, Nov. 2011. (Impact Factor: 3.47, JCR Journal Ranking 13/243)  Download

IEEE Conference Papers:

[C1].  G.-S. Hsu, A. Ambikapathi, and S.-L Chung, “Robust license plate detection in the wild,” in Proc. 14th IEEE AVSS, Lecce, Italy. Aug. 29 - Sept. 1, 2017.

[C2].   A. Ambikapathi, T.-H.Chan, C.-H. Lin, and C.-Y. Chi, “Convex geometry based outlier-insensitive estimation of number of endmembers in  hyperspectral images,” in Proc. IEEE WHISPERS, Gainesville, Florida, USA, June 25-28, 2013. (Invited paper)

[C3].  C.-H. Lin*, A. Ambikapathi*, W.-C. Li, and C.-Y. Chi, “On the endmember identifiability of Craig's criterion for hyperspectral unmixing: A statistical analysis for three-source case,” in Proc. IEEE ICASSP-2013, Vancouver, Canada, May 26-31, 2013. (* contributed equally)  

[C4]. H.-E. Huang, T.-H. Chan, A. Ambikapathi, W.-K. Ma, and C.-Y. Chi, “Outlier-robust dimension reduction and its impact on hyperspectral endmember extraction,” in Proc. IEEE WHISPERS, Shanghai, China, June 5-7, 2012. (Invited paper)

[C5].  A. Ambikapathi, T.-H. Chan, K. Keizer, F.-S. Yang, and C.-Y. Chi, "An nBSS algorithm for pharmacokinetic analysis of prostate cancer using DCE-MR images," in Proc. IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI), Barcelona, Spain, May 2-5, 2012.

[C6].  A. Ambikapathi, T.-H. Chan, and C.-Y. Chi, “Convex geometry based estimation of number of endmembers in hyperspectral images,” in Proc. IEEE ICASSP, Kyoto, Japan, Mar. 25-30, 2012.

[C7].  T.-H. Chan, J.-Y. Liou, A. Ambikapathi, W.-K. Ma and C.-Y. Chi, “Fast algorithms for robust hyperspectral endmember extraction based on worst-case simplex volume maximization,” in Proc. IEEE ICASSP, Kyoto, Japan, Mar. 25-30, 2012.

[C8].  T.-H. Chan, C.-J. Song, A. Ambikapathi, C.-Y. Chi, and W.-K. Ma, "Fast alternating volume maximization algorithm for blind separation of non-negative sources," in Proc. IEEE International Workshop on Machine Learning for Signal Processing (MLSP), Beijing, China, Sept. 18-21, 2011.

[C9].  T.-H. Chan, W.-K. Ma, A. Ambikapathi, and C.-Y. Chi, "Robust endmember extraction using worst-case simplex volume maximization," in Proc. IEEE WHISPERS, Lisbon, Portugal, June 6-9, 2011. (BEST PAPER AWARD)

[C10].  T.-H. Chan, W.-K. Ma, A. Ambikapathi, and C.-Y. Chi, “An optimization perspective on Winter's endmember extraction belief,”in Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Sendai, Japan, Aug. 1-5, 2011. (Invited paper).

[C11]. A. Ambikapathi, T.-H. Chan, C.-Y. Chi, and K. Keizer, "Two effective and computationally efficient pure-pixel based algorithms for hyperspectral endmember extraction," in Proc. IEEE ICASSP, Prague, Czech Republic, May 22-27, 2011.

[C12]. A. Ambikapathi, T.-H. Chan, W.-K. Ma, and C.-Y. Chi, “A robust alternating volume maximization algorithm for endmember extraction in hyperspectral images,” in Proc. IEEE WHISPERS,  Reykjavik, Iceland, June 14-16, 2010. 

[C13]. A. Ambikapathi, T.-H. Chan, W.-K. Ma, and C.-Y. Chi, “A robust minimum-volume enclosing simplex algorithm for hyperspectralunmixing,” in Proc. IEEE ICASSP, Dallas, Texas, Mar. 14-19, 2010, pp. 1202-1205.

[C14]. T.-H. Chan, W.-K. Ma, C.-Y. Chi, and A. Ambikapathi, “Hyperspectral unmixing from a convex analysis and optimization perspective,” in Proc. First IEEE WHISPERS, Grenoble, France, August 26-28, 2009, pp. 1-4. (Invited paper)  

Other Conference Papers:

[O1]. G.-S. Hsu, A. Ambikapathi, and S.-L Chung, “Deep Learning with Time-Frequency Representation for Pulse Estimation,” in Proc. 3rd IJCB, Denver, Colorado. Oct. 1 - 4, 2017.

[O2]. A. Ambikapathi, Y.-T Cheng, and G.-S Hsu, “Reliable age estimation based on apt Gabor features selection and SVM,” in Proc. ACCV WFI, Taipei, Taiwan, Nov. 20 - 24, 2016.

[O3]. G.-S Hsu, Y.-R. Chen, A. Ambikapathi, and Y.-X Chen, “Relating facial attractiveness with facial attributes - A dep learning perspective,” in Proc. CVGIP, Keelung, Taiwan, Aug. 15 - 17, 2016.

 

Invited Talks:

[T1]. A. Ambikapathi, ``Biomedical and Hyperspectral Image Analysis," Invited talk at National Chung Cheng University, Chiayi, Taiwan, Dec. 8, 2017.

[T2]. A. Ambikapathi, ``Feature Extraction: From Classical Handcrafted Methods to Deep Learning Features," Invited talk at National Taiwan University of Science and Technology, Taipei, Taiwan, Oct. 3, 2017.

[T3]. A. Ambikapathi, ``BSS and Current Deep Learning Applications," Invited Talk at Nanyang Technological University, Singapore, Feb. 3, 2017.

[T4]. A. Ambikapathi, ``Theory and Applications of Convex Optimization," Invited Talk at SRC College, Tiruchirappali, India, Feb. 11, 2016.

[T5]. A. Ambikapathi, ``Scintillating Applications of Convex Optimization: From Satellite Image Analysis to Early-stage Cancer Detection," Invited talk at Dept. of Mechanical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, Dec. 22, 2015.

[T6]. A. Ambikapathi, ``Blind Source Separation and Convex Optimization," Invited talk at National University of Science and Technology, Taipei, Taiwan, May. 5, 2015.

[T7]. A. Ambikapathi, ``Robust BSS for Hyperspectral Unmixing," Invited talk at Dept. of Electrical Engineering, Yuanze University, Taoyuan, Taiwan, Nov. 29, 2013.

[T8]. A. Ambikapathi, ``Convex Geometry Based Estimation of Number of Sources in Hyperspectral Images," Invited Talk at (A) at Dept. of Electrical Engineering, Yuanze University, Taoyuan, Taiwan, Oct. 11, 2013.

[T9]. A. Ambikapathi, ``Blind Source Separation: Basic to Advanced," invited Talk (B), at Dept. of Electrical Engineering, Yuanze University, Taoyuan, Taipei, Oct. 11, 2013.

[T10]. A. Ambikapathi, ``Hyperspectral Data Geometry Based Estimation of Number of Endmembers Using p-norm Based Successive Pure Pixel Identification," Invited Talk at Institute of Communication Engineering, National Tsung Hua University, Hsinchu, Taiwan, Oct. 12, 2012.

 

Technical Reports:

[T1]. A. Ambikapathi and C.-Y. Chi, ``Advanced and Reliable Blind Source Separation for Biomedical, Hyperspectral, and Genomic Image Analysis," National Science Council Project, Mid-term Report, National Tsing Hua Univ., Taiwan, May 2014.

[T2]. A. Ambikapathi and C.-Y. Chi, ``Evaluation of Treatment Response in Patients with Liver cancer via Pharmacokinetic Analysis in DCE-MRI," National Tsing Hua Univ. and Mackay Memorial Hospital Project, Final Report, National Tsing Hua Univ., Taiwan, March, 2014.

[T3]. A. Ambikapathi and C.-Y. Chi, ``Early-stage Prostate Cancer Detection Using Advanced DCE-MR Image Analysis," National Tsing Hua Univ. and Mackay Memorial Hospital Project, Final Report, National Tsing Hua Univ., Taiwan, April, 2013.

[T4]. A. Ambikapathi and C.-Y. Chi, ``Advanced Blind Source Separation for Biomedical and Hyperspectral Image Analysis," National Science Council Project, Final Report, National Tsing Hua Univ., Taiwan, Dec. 2013.

[T5]. A. Ambikapathi, ``Chance constrained robust unmixing algorithms and estimation of number of endmembers in hyperspectral images,"
Ph.D. dissertation, National Tsing Hua Univ., Taiwan, Aug. 2011. Download