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2020 – today
- 2023
[i23]Jiaqi Geng, Dong Huang, Fernando De la Torre:
DensePose From WiFi. CoRR abs/2301.00250 (2023)- 2022
- [j44]Xiangyu Xu
, Hao Chen, Francesc Moreno-Noguer, László A. Jeni, Fernando De la Torre:
3D Human Pose, Shape and Texture From Low-Resolution Images and Videos. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4490-4504 (2022) - [c130]Amin Jourabloo, Fernando De la Torre, Jason M. Saragih, Shih-En Wei, Stephen Lombardi, Te-Li Wang, Danielle Belko, Autumn Trimble, Hernán Badino:
Robust Egocentric Photo-realistic Facial Expression Transfer for Virtual Reality. CVPR 2022: 20291-20300 - [i22]Fariborz Taherkhani, Aashish Rai, Quankai Gao, Shaunak Srivastava, Xuanbai Chen, Fernando De la Torre, Steven Song, Aayush Prakash, Daeil Kim:
Controllable 3D Generative Adversarial Face Model via Disentangling Shape and Appearance. CoRR abs/2208.14263 (2022) - [i21]Chen Henry Wu, Saman Motamed, Shaunak Srivastava, Fernando De la Torre:
Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models. CoRR abs/2209.06970 (2022) - [i20]Chen Henry Wu, Fernando De la Torre:
Unifying Diffusion Models' Latent Space, with Applications to CycleDiffusion and Guidance. CoRR abs/2210.05559 (2022) - 2021
- [j43]Junwei Han, Yang Yang, Dingwen Zhang, Dong Huang, Dong Xu, Fernando De la Torre:
Weakly-Supervised Learning of Category-Specific 3D Object Shapes. IEEE Trans. Pattern Anal. Mach. Intell. 43(4): 1423-1437 (2021) - [j42]Chen Cao, Vasu Agrawal, Fernando De la Torre, Lele Chen, Jason M. Saragih, Tomas Simon, Yaser Sheikh:
Real-time 3D neural facial animation from binocular video. ACM Trans. Graph. 40(4): 87:1-87:17 (2021) - [c129]Shugao Ma, Tomas Simon, Jason M. Saragih, Dawei Wang, Yuecheng Li, Fernando De la Torre, Yaser Sheikh:
Pixel Codec Avatars. CVPR 2021: 64-73 - [c128]Lele Chen, Chen Cao, Fernando De la Torre, Jason M. Saragih, Chenliang Xu, Yaser Sheikh:
High-Fidelity Face Tracking for AR/VR via Deep Lighting Adaptation. CVPR 2021: 13059-13069 - [c127]Israel D. Gebru, Dejan Markovic, Alexander Richard, Steven Krenn, Gladstone Alexander Butler, Fernando De la Torre, Yaser Sheikh:
Implicit HRTF Modeling Using Temporal Convolutional Networks. ICASSP 2021: 3385-3389 - [c126]Alexander Richard, Michael Zollhöfer, Yandong Wen, Fernando De la Torre, Yaser Sheikh:
MeshTalk: 3D Face Animation from Speech using Cross-Modality Disentanglement. ICCV 2021: 1153-1162 - [c125]Alexander Richard, Dejan Markovic, Israel D. Gebru, Steven Krenn, Gladstone Alexander Butler, Fernando De la Torre, Yaser Sheikh:
Neural Synthesis of Binaural Speech From Mono Audio. ICLR 2021 - [c124]Alexander Richard, Colin Lea, Shugao Ma, Juergen Gall, Fernando De la Torre, Yaser Sheikh:
Audio- and Gaze-driven Facial Animation of Codec Avatars. WACV 2021: 41-50 - [i19]Xiangyu Xu, Hao Chen, Francesc Moreno-Noguer, László A. Jeni, Fernando De la Torre:
3D Human Pose, Shape and Texture from Low-Resolution Images and Videos. CoRR abs/2103.06498 (2021) - [i18]Lele Chen, Chen Cao, Fernando De la Torre, Jason M. Saragih, Chenliang Xu, Yaser Sheikh:
High-fidelity Face Tracking for AR/VR via Deep Lighting Adaptation. CoRR abs/2103.15876 (2021) - [i17]Shugao Ma, Tomas Simon, Jason M. Saragih, Dawei Wang, Yuecheng Li, Fernando De la Torre, Yaser Sheikh:
Pixel Codec Avatars. CoRR abs/2104.04638 (2021) - [i16]Amin Jourabloo, Fernando De la Torre, Jason M. Saragih, Shih-En Wei, Te-Li Wang, Stephen Lombardi, Danielle Belko, Autumn Trimble, Hernán Badino:
Robust Egocentric Photo-realistic Facial Expression Transfer for Virtual Reality. CoRR abs/2104.04794 (2021) - [i15]Alexander Richard, Michael Zollhöfer, Yandong Wen, Fernando De la Torre, Yaser Sheikh:
MeshTalk: 3D Face Animation from Speech using Cross-Modality Disentanglement. CoRR abs/2104.08223 (2021) - 2020
- [j41]Rubén San Segundo, Ada Zhang, Alexander Cebulla, Stanislav Panev, Griffin Tabor, Katelyn Stebbins, Robyn E. Massa, Andrew S. Whitford, Fernando De la Torre, Jessica K. Hodgins:
Parkinson's Disease Tremor Detection in the Wild Using Wearable Accelerometers. Sensors 20(20): 5817 (2020) - [c123]Xiangyu Xu, Hao Chen, Francesc Moreno-Noguer, László A. Jeni, Fernando De la Torre:
3D Human Shape and Pose from a Single Low-Resolution Image with Self-Supervised Learning. ECCV (9) 2020: 284-300 - [c122]Hang Chu, Shugao Ma, Fernando De la Torre, Sanja Fidler, Yaser Sheikh:
Expressive Telepresence via Modular Codec Avatars. ECCV (12) 2020: 330-345 - [c121]Ada Zhang, Fernando De la Torre, Jessica K. Hodgins:
Comparing laboratory and in-the-wild data for continuous Parkinson's Disease tremor detection. EMBC 2020: 5436-5441 - [i14]Stanislav Panev, Francisco Vicente, Fernando De la Torre, Véronique Prinet:
Road Curb Detection and Localization with Monocular Forward-view Vehicle Camera. CoRR abs/2002.12492 (2020) - [i13]Xiangyu Xu, Hao Chen, Francesc Moreno-Noguer, László A. Jeni, Fernando De la Torre:
3D Human Shape and Pose from a Single Low-Resolution Image with Self-Supervised Learning. CoRR abs/2007.13666 (2020) - [i12]Alexander Richard, Colin Lea, Shugao Ma, Juergen Gall, Fernando De la Torre, Yaser Sheikh:
Audio- and Gaze-driven Facial Animation of Codec Avatars. CoRR abs/2008.05023 (2020) - [i11]Hang Chu, Shugao Ma, Fernando De la Torre, Sanja Fidler, Yaser Sheikh:
Expressive Telepresence via Modular Codec Avatars. CoRR abs/2008.11789 (2020) - [i10]Denis Tomè, Thiemo Alldieck, Patrick Peluse, Gerard Pons-Moll, Lourdes Agapito, Hernán Badino, Fernando De la Torre:
SelfPose: 3D Egocentric Pose Estimation from a Headset Mounted Camera. CoRR abs/2011.01519 (2020)
2010 – 2019
- 2019
- [j40]Chen Change Loy, Xiaoming Liu, Tae-Kyun Kim, Fernando De la Torre, Rama Chellappa:
Editorial: Special Issue on Deep Learning for Face Analysis. Int. J. Comput. Vis. 127(6-7): 533-536 (2019) - [j39]Wen-Sheng Chu, Fernando De la Torre, Jeffrey F. Cohn:
Learning facial action units with spatiotemporal cues and multi-label sampling. Image Vis. Comput. 81: 1-14 (2019) - [j38]Jayakorn Vongkulbhisal, Fernando De la Torre, João Paulo Costeira:
Discriminative Optimization: Theory and Applications to Computer Vision. IEEE Trans. Pattern Anal. Mach. Intell. 41(4): 829-843 (2019) - [j37]Stanislav Panev, Francisco Vicente, Fernando De la Torre, Véronique Prinet:
Road Curb Detection and Localization With Monocular Forward-View Vehicle Camera. IEEE Trans. Intell. Transp. Syst. 20(9): 3568-3584 (2019) - [c120]Albert Pumarola, Vedanuj Goswami, Francisco Vicente, Fernando De la Torre, Francesc Moreno-Noguer:
Unsupervised Image-to-Video Clothing Transfer. ICCV Workshops 2019: 3181-3184 - 2018
- [j36]Enrique Sánchez-Lozano, Georgios Tzimiropoulos, Brais Martínez, Fernando De la Torre, Michel F. Valstar:
A Functional Regression Approach to Facial Landmark Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 40(9): 2037-2050 (2018) - [j35]Miguel Ángel Bautista, Oriol Pujol, Fernando De la Torre, Sergio Escalera:
Error-Correcting Factorization. IEEE Trans. Pattern Anal. Mach. Intell. 40(10): 2388-2401 (2018) - [c119]Ada Zhang, Rubén San Segundo, Stanislav Panev, Griffin Tabor, Katelyn Stebbins, Andrew S. Whitford, Fernando De la Torre, Jessica K. Hodgins:
Automated Tremor Detection in Parkinson's Disease Using Accelerometer Signals. CHASE 2018: 13-14 - [c118]Jayakorn Vongkulbhisal, Beñat Irastorza Ugalde, Fernando De la Torre, João Paulo Costeira:
Inverse Composition Discriminative Optimization for Point Cloud Registration. CVPR 2018: 2993-3001 - 2017
- [j34]Xavier Perez-Sala, Fernando De la Torre, Laura Igual, Sergio Escalera, Cecilio Angulo:
Subspace Procrustes Analysis. Int. J. Comput. Vis. 121(3): 327-343 (2017) - [j33]Wen-Sheng Chu, Fernando De la Torre, Jeffrey F. Cohn, Daniel S. Messinger:
A Branch-and-Bound Framework for Unsupervised Common Event Discovery. Int. J. Comput. Vis. 123(3): 372-391 (2017) - [j32]Wen-Sheng Chu, Fernando De la Torre, Jeffrey F. Cohn:
Selective Transfer Machine for Personalized Facial Expression Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 39(3): 529-545 (2017) - [c117]Calvin Murdock, Fernando De la Torre:
Additive Component Analysis. CVPR 2017: 673-681 - [c116]Jayakorn Vongkulbhisal, Fernando De la Torre, João Paulo Costeira:
Discriminative Optimization: Theory and Applications to Point Cloud Registration. CVPR 2017: 3975-3983 - [c115]Dong Huang, Longfei Han, Fernando De la Torre:
Soft-Margin Mixture of Regressions. CVPR 2017: 4058-4066 - [c114]Ada Zhang, Alexander Cebulla, Stanislav Panev, Jessica K. Hodgins, Fernando De la Torre:
Weakly-supervised learning for Parkinson's Disease tremor detection. EMBC 2017: 143-147 - [c113]Dustin Axman, Joana S. Paiva, Fernando De la Torre, João P. S. Cunha:
Beat-to-beat ECG features for time resolution improvements in stress detection. EUSIPCO 2017: 1290-1294 - [c112]Wen-Sheng Chu, Fernando De la Torre, Jeffrey F. Cohn:
Learning Spatial and Temporal Cues for Multi-Label Facial Action Unit Detection. FG 2017: 25-32 - [c111]Calvin Murdock, Fernando De la Torre:
Approximate Grassmannian Intersections: Subspace-Valued Subspace Learning. ICCV 2017: 4318-4326 - [c110]Manuel J. Marín-Jiménez, Francisco M. Castro, Nicolás Guil, Fernando De la Torre, Rafael Medina Carnicer:
Deep multi-task learning for gait-based biometrics. ICIP 2017: 106-110 - [i9]Jayakorn Vongkulbhisal, Fernando De la Torre, João Paulo Costeira:
Discriminative Optimization: Theory and Applications to Computer Vision Problems. CoRR abs/1707.04318 (2017) - [i8]Joachim de Curtò, Irene C. Zarza, Fernando De la Torre, Irwin King, Michael R. Lyu:
High-Resolution Deep Convolutional Generative Adversarial Networks. CoRR abs/1711.06491 (2017) - 2016
- [j31]Xiaoyu Ding, Wen-Sheng Chu, Fernando De la Torre, Jeffrey F. Cohn, Qiao Wang:
Cascade of Tasks for facial expression analysis. Image Vis. Comput. 51: 36-48 (2016) - [j30]Feng Zhou, Fernando De la Torre:
Generalized Canonical Time Warping. IEEE Trans. Pattern Anal. Mach. Intell. 38(2): 279-294 (2016) - [j29]Dong Huang, Ricardo Silveira Cabral, Fernando De la Torre:
Robust Regression. IEEE Trans. Pattern Anal. Mach. Intell. 38(2): 363-375 (2016) - [j28]Feng Zhou, Fernando De la Torre:
Spatio-Temporal Matching for Human Pose Estimation in Video. IEEE Trans. Pattern Anal. Mach. Intell. 38(8): 1492-1504 (2016) - [j27]Feng Zhou, Fernando De la Torre:
Factorized Graph Matching. IEEE Trans. Pattern Anal. Mach. Intell. 38(9): 1774-1789 (2016) - [j26]Ji Zhao, Liantao Wang, Ricardo Silveira Cabral, Fernando De la Torre:
Feature and Region Selection for Visual Learning. IEEE Trans. Image Process. 25(3): 1084-1094 (2016) - [j25]Kaili Zhao, Wen-Sheng Chu, Fernando De la Torre, Jeffrey F. Cohn, Honggang Zhang:
Joint Patch and Multi-label Learning for Facial Action Unit and Holistic Expression Recognition. IEEE Trans. Image Process. 25(8): 3931-3946 (2016) - [j24]Jiabei Zeng, Wen-Sheng Chu, Fernando De la Torre, Jeffrey F. Cohn, Zhang Xiong:
Confidence Preserving Machine for Facial Action Unit Detection. IEEE Trans. Image Process. 25(10): 4753-4767 (2016) - [c109]Jayakorn Vongkulbhisal, Ricardo Silveira Cabral, Fernando De la Torre, João Paulo Costeira:
Motion from Structure (MfS): Searching for 3D Objects in Cluttered Point Trajectories. CVPR 2016: 5639-5647 - [i7]Wen-Sheng Chu, Fernando De la Torre, Jeffrey F. Cohn:
Modeling Spatial and Temporal Cues for Multi-label Facial Action Unit Detection. CoRR abs/1608.00911 (2016) - [i6]Ramon Sanabria, Florian Metze, Fernando De la Torre:
Robust end-to-end deep audiovisual speech recognition. CoRR abs/1611.06986 (2016) - [i5]Enrique Sánchez-Lozano, Georgios Tzimiropoulos, Brais Martínez, Fernando De la Torre, Michel F. Valstar:
A Functional Regression approach to Facial Landmark Tracking. CoRR abs/1612.02203 (2016) - 2015
- [j23]Ricardo Silveira Cabral, Fernando De la Torre, João Paulo Costeira, Alexandre Bernardino:
Matrix Completion for Weakly-Supervised Multi-Label Image Classification. IEEE Trans. Pattern Anal. Mach. Intell. 37(1): 121-135 (2015) - [j22]Karim T. Abou-Moustafa, Fernando De la Torre, Frank P. Ferrie:
Pareto models for discriminative multiclass linear dimensionality reduction. Pattern Recognit. 48(5): 1863-1877 (2015) - [j21]Jeffrey M. Girard, Jeffrey F. Cohn, Fernando De la Torre:
Estimating smile intensity: A better way. Pattern Recognit. Lett. 66: 13-21 (2015) - [j20]Francisco Vicente, Zehua Huang, Xuehan Xiong, Fernando De la Torre, Wende Zhang, Dan Levi:
Driver Gaze Tracking and Eyes Off the Road Detection System. IEEE Trans. Intell. Transp. Syst. 16(4): 2014-2027 (2015) - [c108]Kaili Zhao, Wen-Sheng Chu, Fernando De la Torre, Jeffrey F. Cohn, Honggang Zhang:
Joint patch and multi-label learning for facial action unit detection. CVPR 2015: 2207-2216 - [c107]Xuehan Xiong, Fernando De la Torre:
Global supervised descent method. CVPR 2015: 2664-2673 - [c106]Terrance E. Boult, Fernando De la Torre, Slobodan Ribaric, Vitomir Struc:
Foreword - De-identification for Privacy Protection in Multimedia 2015. FG 2015: 1-2 - [c105]Jeffrey M. Girard, Jeffrey F. Cohn, László A. Jeni, Simon Lucey, Fernando De la Torre:
How much training data for facial action unit detection? FG 2015: 1-8 - [c104]Fernando De la Torre, Wen-Sheng Chu, Xuehan Xiong, Francisco Vicente, Xiaoyu Ding, Jeffrey F. Cohn:
IntraFace. FG 2015: 1-8 - [c103]Calvin Murdock, Fernando De la Torre:
Semantic Component Analysis. ICCV 2015: 1484-1492 - [c102]Wen-Sheng Chu, Jiabei Zeng, Fernando De la Torre, Jeffrey F. Cohn, Daniel S. Messinger:
Unsupervised Synchrony Discovery in Human Interaction. ICCV 2015: 3146-3154 - [c101]Jiabei Zeng, Wen-Sheng Chu, Fernando De la Torre, Jeffrey F. Cohn, Zhang Xiong:
Confidence Preserving Machine for Facial Action Unit Detection. ICCV 2015: 3622-3630 - [i4]Miguel Ángel Bautista, Oriol Pujol, Fernando De la Torre, Sergio Escalera:
Error-Correcting Factorization. CoRR abs/1502.07976 (2015) - 2014
- [j19]Minyoung Kim, Fernando De la Torre:
Multiple instance learning via Gaussian processes. Data Min. Knowl. Discov. 28(4): 1078-1106 (2014) - [j18]Minh Hoai Nguyen, Fernando De la Torre:
Max-Margin Early Event Detectors. Int. J. Comput. Vis. 107(2): 191-202 (2014) - [j17]Laura Igual, Xavier Perez-Sala, Sergio Escalera, Cecilio Angulo, Fernando De la Torre:
Continuous Generalized Procrustes analysis. Pattern Recognit. 47(2): 659-671 (2014) - [j16]Minh Hoai Nguyen, Lorenzo Torresani, Fernando De la Torre, Carsten Rother:
Learning discriminative localization from weakly labeled data. Pattern Recognit. 47(3): 1523-1534 (2014) - [c100]Ehsan Adeli-Mosabbeb, Ricardo Silveira Cabral, Fernando De la Torre, Mahmood Fathy:
Multi-label Discriminative Weakly-Supervised Human Activity Recognition and Localization. ACCV (5) 2014: 241-258 - [c99]Yingying Zhu, Dong Huang, Fernando De la Torre, Simon Lucey:
Complex Non-rigid Motion 3D Reconstruction by Union of Subspaces. CVPR 2014: 1542-1549 - [c98]Feng Zhou, Fernando De la Torre:
Spatio-temporal Matching for Human Detection in Video. ECCV (6) 2014: 62-77 - [c97]Dong Huang, Shitong Yao, Yi Wang, Fernando De la Torre:
Sequential Max-Margin Event Detectors. ECCV (3) 2014: 410-424 - [c96]Xavier Perez-Sala, Fernando De la Torre, Laura Igual, Sergio Escalera, Cecilio Angulo:
Subspace Procrustes Analysis. ECCV Workshops (1) 2014: 654-668 - [c95]Ekaterina H. Taralova, Fernando De la Torre, Martial Hebert:
Motion Words for Videos. ECCV (1) 2014: 725-740 - [c94]Vinod Sharma, Kunal Mankodiya, Fernando De la Torre, Ada Zhang, Neal Ryan, Thanh G. N. Ton, Rajeev Gandhi, Samay Jain:
SPARK: Personalized Parkinson Disease Interventions through Synergy between a Smartphone and a Smartwatch. HCI (10) 2014: 103-114 - [c93]Ricardo Silveira Cabral, João Paulo Costeira, Alexandre Bernardino, Fernando De la Torre:
Optimal no-intersection multi-label binary localization for time series using totally unimodular linear programming. ICIP 2014: 3127-3130 - [i3]Xuehan Xiong, Fernando De la Torre:
Supervised Descent Method for Solving Nonlinear Least Squares Problems in Computer Vision. CoRR abs/1405.0601 (2014) - [i2]Ji Zhao, Liantao Wang, Ricardo Silveira Cabral, Fernando De la Torre:
Feature and Region Selection for Visual Learning. CoRR abs/1407.5245 (2014) - 2013
- [j15]Yan Tian, Leonid Sigal, Fernando De la Torre, Yonghua Jia:
Canonical locality preserving Latent Variable Model for discriminative pose inference. Image Vis. Comput. 31(3): 223-230 (2013) - [j14]Feng Zhou, Fernando De la Torre, Jessica K. Hodgins:
Hierarchical Aligned Cluster Analysis for Temporal Clustering of Human Motion. IEEE Trans. Pattern Anal. Mach. Intell. 35(3): 582-596 (2013) - [c92]László A. Jeni, Jeffrey F. Cohn, Fernando De la Torre:
Facing Imbalanced Data-Recommendations for the Use of Performance Metrics. ACII 2013: 245-251 - [c91]Xuehan Xiong, Fernando De la Torre:
Supervised Descent Method and Its Applications to Face Alignment. CVPR 2013: 532-539 - [c90]Feng Zhou, Fernando De la Torre:
Deformable Graph Matching. CVPR 2013: 2922-2929 - [c89]Wen-Sheng Chu, Fernando De la Torre, Jeffrey F. Cohn:
Selective Transfer Machine for Personalized Facial Action Unit Detection. CVPR 2013: 3515-3522 - [c88]László A. Jeni, Jeffrey M. Girard, Jeffrey F. Cohn, Fernando De la Torre:
Continuous AU intensity estimation using localized, sparse facial feature space. FG 2013: 1-7 - [c87]Petia Georgieva, Nuttapod Nuntal, Fernando De la Torre:
Robust Principal Component Analysis for Improving Cognitive Brain States Discrimination from fMRI. IbPRIA 2013: 165-172 - [c86]Petia Georgieva, Fernando De la Torre:
Robust Principal Component Analysis for Brain Imaging. ICANN 2013: 288-295 - [c85]Deyu Meng, Fernando De la Torre:
Robust Matrix Factorization with Unknown Noise. ICCV 2013: 1337-1344 - [c84]Xiaoyu Ding, Wen-Sheng Chu, Fernando De la Torre, Jeffrey F. Cohn, Qiao Wang:
Facial Action Unit Event Detection by Cascade of Tasks. ICCV 2013: 2400-2407 - [c83]Ricardo Silveira Cabral, Fernando De la Torre, João Paulo Costeira, Alexandre Bernardino:
Unifying Nuclear Norm and Bilinear Factorization Approaches for Low-Rank Matrix Decomposition. ICCV 2013: 2488-2495 - [c82]Moritz Tenorth, Fernando De la Torre, Michael Beetz:
Learning probability distributions over partially-ordered human everyday activities. ICRA 2013: 4539-4544 - 2012
- [j13]Fernando De la Torre:
A Least-Squares Framework for Component Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 34(6): 1041-1055 (2012) - [c81]Feng Zhou, Fernando De la Torre:
Factorized graph matching. CVPR 2012: 127-134 - [c80]Risheng Liu, Zhouchen Lin, Fernando De la Torre, Zhixun Su:
Fixed-rank representation for unsupervised visual learning. CVPR 2012: 598-605 - [c79]Feng Zhou, Fernando De la Torre:
Generalized time warping for multi-modal alignment of human motion. CVPR 2012: 1282-1289 - [c78]Minh Hoai Nguyen, Fernando De la Torre:
Max-margin early event detectors. CVPR 2012: 2863-2870 - [c77]Dong Huang, Fernando De la Torre:
Facial Action Transfer with Personalized Bilinear Regression. ECCV (2) 2012: 144-158 - [c76]Enrique Sánchez-Lozano, Fernando De la Torre, Daniel González-Jiménez:
Continuous Regression for Non-rigid Image Alignment. ECCV (7) 2012: 250-263 - [c75]Wen-Sheng Chu, Feng Zhou, Fernando De la Torre:
Unsupervised Temporal Commonality Discovery. ECCV (4) 2012: 373-387 - [c74]Dong Huang, Ricardo Silveira Cabral, Fernando De la Torre:
Robust Regression. ECCV (4) 2012: 616-630 - [c73]Samarjit Das, Breogan Amoedo, Fernando De la Torre, Jessica K. Hodgins:
Detecting Parkinsons' symptoms in uncontrolled home environments: A multiple instance learning approach. EMBC 2012: 3688-3691 - [c72]Samarjit Das, Jestin N. Carlson, Fernando De la Torre, Paul E. Phrampus, Jessica K. Hodgins:
Multimodal feature analysis for quantitative performance evaluation of endotracheal intubation (ETI). ICASSP 2012: 621-624 - [c71]Wei Liu, George Kantor, Fernando De la Torre, Nanning Zheng:
Image-based tree pruning. ROBIO 2012: 2072-2077 - [c70]Minh Hoai Nguyen, Fernando De la Torre:
Maximum Margin Temporal Clustering. AISTATS 2012: 520-528 - [i1]