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ORCIDRahul Sukthankar
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- affiliation: Carnegie Mellon University, Pittsburgh, USA
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2020 – today
- 2023
[c126]Alina Marcu, Mihai Cristian Pîrvu, Dragos Costea, Emanuela Haller, Emil Slusanschi, Nabil Belbachir, Rahul Sukthankar, Marius Leordeanu:
Self-supervised Hypergraphs for Learning Multiple World Interpretations. ICCV (Workshops) 2023: 983-992- [i38]Alina Marcu, Mihai Cristian Pîrvu, Dragos Costea, Emanuela Haller, Emil Slusanschi, Ahmed Nabil Belbachir, Rahul Sukthankar, Marius Leordeanu:
Self-supervised Hypergraphs for Learning Multiple World Interpretations. CoRR abs/2308.07615 (2023) - 2022
- [c125]Chengzhi Mao, Lu Jiang, Mostafa Dehghani, Carl Vondrick, Rahul Sukthankar, Irfan Essa:
Discrete Representations Strengthen Vision Transformer Robustness. ICLR 2022 - [c124]Vlad Licaret, Victor Robu, Alina Marcu, Dragos Costea, Emil Slusanschi
, Rahul Sukthankar, Marius Leordeanu:
UFO Depth: Unsupervised learning with flow-based odometry optimization for metric depth estimation. ICRA 2022: 6526-6532 - 2021
- [c123]Marius Leordeanu, Mihai Cristian Pîrvu, Dragos Costea, Alina Elena Marcu, Emil Slusanschi, Rahul Sukthankar:
Semi-Supervised Learning for Multi-Task Scene Understanding by Neural Graph Consensus. AAAI 2021: 1882-1892 - [c122]Mihai Cristian Pîrvu, Victor Robu, Vlad Licaret, Dragos Costea, Alina Marcu, Emil Slusanschi, Rahul Sukthankar, Marius Leordeanu:
Depth Distillation: Unsupervised Metric Depth Estimation for UAVs by Finding Consensus Between Kinematics, Optical Flow and Deep Learning. CVPR Workshops 2021: 3215-3223 - [c121]Andrei Zanfir, Eduard Gabriel Bazavan, Mihai Zanfir, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu:
Neural Descent for Visual 3D Human Pose and Shape. CVPR 2021: 14484-14493 - [c120]Mihai Zanfir, Andrei Zanfir, Eduard Gabriel Bazavan, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu:
THUNDR: Transformer-based 3D HUmaN Reconstruction with Markers. ICCV 2021: 12951-12960 - [i37]Mihai Zanfir, Andrei Zanfir, Eduard Gabriel Bazavan, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu:
THUNDR: Transformer-based 3D HUmaN Reconstruction with Markers. CoRR abs/2106.09336 (2021) - [i36]Chengzhi Mao, Lu Jiang, Mostafa Dehghani, Carl Vondrick, Rahul Sukthankar, Irfan Essa:
Discrete Representations Strengthen Vision Transformer Robustness. CoRR abs/2111.10493 (2021) - [i35]Eduard Gabriel Bazavan, Andrei Zanfir, Mihai Zanfir, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu:
HSPACE: Synthetic Parametric Humans Animated in Complex Environments. CoRR abs/2112.12867 (2021) - 2020
- [j28]Saurabh Gupta, Varun Tolani, James Davidson, Sergey Levine, Rahul Sukthankar, Jitendra Malik:
Cognitive Mapping and Planning for Visual Navigation. Int. J. Comput. Vis. 128(5): 1311-1330 (2020) - [c119]Hongyi Xu, Eduard Gabriel Bazavan, Andrei Zanfir, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu:
GHUM & GHUML: Generative 3D Human Shape and Articulated Pose Models. CVPR 2020: 6183-6192 - [c118]Arsha Nagrani, Chen Sun, David Ross, Rahul Sukthankar, Cordelia Schmid, Andrew Zisserman:
Speech2Action: Cross-Modal Supervision for Action Recognition. CVPR 2020: 10314-10323 - [c117]Andrei Zanfir, Eduard Gabriel Bazavan, Hongyi Xu, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu:
Weakly Supervised 3D Human Pose and Shape Reconstruction with Normalizing Flows. ECCV (6) 2020: 465-481 - [c116]Saif Alabachi, Gita Sukthankar, Rahul Sukthankar:
SelfieDroneStick: A Natural Interface for Quadcopter Photography. IROS 2020: 10684-10690 - [c115]Jonathan C. Stroud, David A. Ross, Chen Sun, Jia Deng, Rahul Sukthankar:
D3D: Distilled 3D Networks for Video Action Recognition. WACV 2020: 614-623 - [i34]Andrei Zanfir, Eduard Gabriel Bazavan, Hongyi Xu, Bill Freeman, Rahul Sukthankar, Cristian Sminchisescu:
Weakly Supervised 3D Human Pose and Shape Reconstruction with Normalizing Flows. CoRR abs/2003.10350 (2020) - [i33]Arsha Nagrani, Chen Sun, David Ross, Rahul Sukthankar, Cordelia Schmid, Andrew Zisserman:
Speech2Action: Cross-modal Supervision for Action Recognition. CoRR abs/2003.13594 (2020) - [i32]Jonathan C. Stroud, David A. Ross, Chen Sun, Jia Deng, Rahul Sukthankar, Cordelia Schmid:
Learning Video Representations from Textual Web Supervision. CoRR abs/2007.14937 (2020) - [i31]Samuel Albanie, Yang Liu, Arsha Nagrani, Antoine Miech, Ernesto Coto, Ivan Laptev, Rahul Sukthankar, Bernard Ghanem, Andrew Zisserman, Valentin Gabeur, Chen Sun, Karteek Alahari, Cordelia Schmid, Shizhe Chen, Yida Zhao, Qin Jin, Kaixu Cui, Hui Liu, Chen Wang, Yudong Jiang, Xiaoshuai Hao:
The End-of-End-to-End: A Video Understanding Pentathlon Challenge (2020). CoRR abs/2008.00744 (2020) - [i30]Andrei Zanfir, Eduard Gabriel Bazavan, Mihai Zanfir, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu:
Neural Descent for Visual 3D Human Pose and Shape. CoRR abs/2008.06910 (2020) - [i29]Marius Leordeanu, Mihai Cristian Pîrvu, Dragos Costea, Alina Marcu, Emil Slusanschi, Rahul Sukthankar:
Semi-Supervised Learning for Multi-Task Scene Understanding by Neural Graph Consensus. CoRR abs/2010.01086 (2020)
2010 – 2019
- 2019
- [c114]Rui Hou, Chen Chen, Rahul Sukthankar, Mubarak Shah:
An Efficient 3D CNN for Action/Object Segmentation in Video. BMVC 2019: 170 - [c113]Chen Sun, Abhinav Shrivastava, Carl Vondrick, Rahul Sukthankar, Kevin Murphy, Cordelia Schmid:
Relational Action Forecasting. CVPR 2019: 273-283 - [c112]Saif Alabachi, Gita Sukthankar, Rahul Sukthankar:
Customizing Object Detectors for Indoor Robots. ICRA 2019: 8318-8324 - [i28]Saif Alabachi, Gita Sukthankar, Rahul Sukthankar:
Customizing Object Detectors for Indoor Robots. CoRR abs/1902.10671 (2019) - [i27]Chen Sun, Abhinav Shrivastava, Carl Vondrick, Rahul Sukthankar, Kevin Murphy, Cordelia Schmid:
Relational Action Forecasting. CoRR abs/1904.04231 (2019) - [i26]Rui Hou, Chen Chen, Rahul Sukthankar, Mubarak Shah:
An Efficient 3D CNN for Action/Object Segmentation in Video. CoRR abs/1907.08895 (2019) - [i25]Saif Alabachi, Gita Sukthankar, Rahul Sukthankar:
Selfie Drone Stick: A Natural Interface for Quadcopter Photography. CoRR abs/1909.06491 (2019) - 2018
- [j27]Lamberto Ballan, Shih-Fu Chang, Gang Hua, Thomas Mensink, Greg Mori, Rahul Sukthankar:
Guest Editorial. Comput. Vis. Image Underst. 173: 1 (2018) - [j26]Fatih Porikli, Shiguang Shan, Cees Snoek, Rahul Sukthankar, Xiaogang Wang:
Deep Learning for Visual Understanding: Part 2 [From the Guest Editors]. IEEE Signal Process. Mag. 35(1): 17-19 (2018) - [c111]Yu-Wei Chao, Sudheendra Vijayanarasimhan, Bryan Seybold, David A. Ross, Jia Deng, Rahul Sukthankar:
Rethinking the Faster R-CNN Architecture for Temporal Action Localization. CVPR 2018: 1130-1139 - [c110]Chunhui Gu, Chen Sun, David A. Ross, Carl Vondrick, Caroline Pantofaru, Yeqing Li, Sudheendra Vijayanarasimhan, George Toderici, Susanna Ricco, Rahul Sukthankar, Cordelia Schmid, Jitendra Malik:
AVA: A Video Dataset of Spatio-Temporally Localized Atomic Visual Actions. CVPR 2018: 6047-6056 - [c109]Joonseok Lee, Apostol Natsev, Walter Reade, Rahul Sukthankar, George Toderici:
The 2nd YouTube-8M Large-Scale Video Understanding Challenge. ECCV Workshops (4) 2018: 193-205 - [c108]Chen Sun, Abhinav Shrivastava, Carl Vondrick, Kevin Murphy, Rahul Sukthankar, Cordelia Schmid:
Actor-Centric Relation Network. ECCV (11) 2018: 335-351 - [i24]Steven Hickson, Anelia Angelova, Irfan A. Essa, Rahul Sukthankar:
Object category learning and retrieval with weak supervision. CoRR abs/1801.08985 (2018) - [i23]Yu-Wei Chao, Sudheendra Vijayanarasimhan, Bryan Seybold, David A. Ross, Jia Deng, Rahul Sukthankar:
Rethinking the Faster R-CNN Architecture for Temporal Action Localization. CoRR abs/1804.07667 (2018) - [i22]Chen Sun, Abhinav Shrivastava, Carl Vondrick, Kevin Murphy, Rahul Sukthankar, Cordelia Schmid:
Actor-Centric Relation Network. CoRR abs/1807.10982 (2018) - [i21]Alexander Pashevich, Danijar Hafner, James Davidson, Rahul Sukthankar, Cordelia Schmid:
Modulated Policy Hierarchies. CoRR abs/1812.00025 (2018) - [i20]Jonathan C. Stroud, David A. Ross, Chen Sun, Jia Deng, Rahul Sukthankar:
D3D: Distilled 3D Networks for Video Action Recognition. CoRR abs/1812.08249 (2018) - 2017
- [j25]Haroon Idrees, Amir R. Zamir, Yu-Gang Jiang, Alex Gorban, Ivan Laptev, Rahul Sukthankar, Mubarak Shah:
The THUMOS challenge on action recognition for videos "in the wild". Comput. Vis. Image Underst. 155: 1-23 (2017) - [j24]Luca Del Pero, Susanna Ricco, Rahul Sukthankar, Vittorio Ferrari:
Behavior Discovery and Alignment of Articulated Object Classes from Unstructured Video. Int. J. Comput. Vis. 121(2): 303-325 (2017) - [j23]Le Wang, Gang Hua, Rahul Sukthankar, Jianru Xue, Zhenxing Niu, Nanning Zheng:
Video Object Discovery and Co-Segmentation with Extremely Weak Supervision. IEEE Trans. Pattern Anal. Mach. Intell. 39(10): 2074-2088 (2017) - [j22]Fatih Porikli, Shiguang Shan, Cees Snoek, Rahul Sukthankar, Xiaogang Wang:
Deep Learning for Visual Understanding [From the Guest Editors]. IEEE Signal Process. Mag. 34(6): 24-25 (2017) - [c107]Rui Hou, Rahul Sukthankar, Mubarak Shah:
Real-Time Temporal Action Localization in Untrimmed Videos by Sub-Action Discovery. BMVC 2017 - [c106]Saurabh Gupta, James Davidson, Sergey Levine, Rahul Sukthankar, Jitendra Malik:
Cognitive Mapping and Planning for Visual Navigation. CVPR 2017: 7272-7281 - [c105]Mahadev Satyanarayanan, Phillip B. Gibbons, Lily B. Mummert, Padmanabhan Pillai, Pieter Simoens, Rahul Sukthankar:
Cloudlet-based just-in-time indexing of IoT video. GIoTS 2017: 1-8 - [c104]Lerrel Pinto, James Davidson, Rahul Sukthankar, Abhinav Gupta:
Robust Adversarial Reinforcement Learning. ICML 2017: 2817-2826 - [i19]Shumeet Baluja, Michele Covell, Rahul Sukthankar:
Traffic Lights with Auction-Based Controllers: Algorithms and Real-World Data. CoRR abs/1702.01205 (2017) - [i18]Saurabh Gupta, James Davidson, Sergey Levine, Rahul Sukthankar, Jitendra Malik:
Cognitive Mapping and Planning for Visual Navigation. CoRR abs/1702.03920 (2017) - [i17]Lerrel Pinto, James Davidson, Rahul Sukthankar, Abhinav Gupta:
Robust Adversarial Reinforcement Learning. CoRR abs/1703.02702 (2017) - [i16]Sudheendra Vijayanarasimhan, Susanna Ricco, Cordelia Schmid, Rahul Sukthankar, Katerina Fragkiadaki:
SfM-Net: Learning of Structure and Motion from Video. CoRR abs/1704.07804 (2017) - [i15]Katerina Fragkiadaki, Jonathan Huang, Alex Alemi, Sudheendra Vijayanarasimhan, Susanna Ricco, Rahul Sukthankar:
Motion Prediction Under Multimodality with Conditional Stochastic Networks. CoRR abs/1705.02082 (2017) - [i14]Wen Li, Limin Wang, Wei Li, Eirikur Agustsson, Jesse Berent, Abhinav Gupta, Rahul Sukthankar, Luc Van Gool:
WebVision Challenge: Visual Learning and Understanding With Web Data. CoRR abs/1705.05640 (2017) - [i13]Chunhui Gu, Chen Sun, Sudheendra Vijayanarasimhan, Caroline Pantofaru, David A. Ross, George Toderici, Yeqing Li, Susanna Ricco, Rahul Sukthankar, Cordelia Schmid, Jitendra Malik:
AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual Actions. CoRR abs/1705.08421 (2017) - 2016
- [c103]Marius Leordeanu, Alexandra Radu, Shumeet Baluja, Rahul Sukthankar:
Labeling the Features Not the Samples: Efficient Video Classification with Minimal Supervision. AAAI 2016: 3530-3538 - [c102]Luca Del Pero, Susanna Ricco, Rahul Sukthankar, Vittorio Ferrari:
Discovering the Physical Parts of an Articulated Object Class from Multiple Videos. CVPR 2016: 714-723 - [c101]Rey Coaguila, Gita Reese Sukthankar, Rahul Sukthankar:
Selecting Vantage Points for an Autonomous Quadcopter Videographer. FLAIRS 2016: 386-391 - [c100]Rahul Sukthankar, Michele Covell, Shumeet Baluja:
Physical and virtual cell phone sensors for traffic control: Algorithms and deployment impact. SAS 2016: 1-6 - [c99]George Toderici, Sean M. O'Malley, Sung Jin Hwang, Damien Vincent, David Minnen, Shumeet Baluja, Michele Covell, Rahul Sukthankar:
Variable Rate Image Compression with Recurrent Neural Networks. ICLR (Poster) 2016 - [i12]Haroon Idrees, Amir R. Zamir, Yu-Gang Jiang, Alex Gorban, Ivan Laptev, Rahul Sukthankar, Mubarak Shah:
The THUMOS Challenge on Action Recognition for Videos "in the Wild". CoRR abs/1604.06182 (2016) - [i11]Abhinav Shrivastava, Rahul Sukthankar, Jitendra Malik, Abhinav Gupta:
Beyond Skip Connections: Top-Down Modulation for Object Detection. CoRR abs/1612.06851 (2016) - 2015
- [j21]Eugene M. Taranta II, Thaddeus K. Simons, Rahul Sukthankar, Joseph J. LaViola Jr.:
Exploring the Benefits of Context in 3D Gesture Recognition for Game-Based Virtual Environments. ACM Trans. Interact. Intell. Syst. 5(1): 1:1-1:34 (2015) - [c98]Shumeet Baluja, Michele Covell, Rahul Sukthankar:
The Virtues of Peer Pressure: A Simple Method for Discovering High-Value Mistakes. CAIP (2) 2015: 96-108 - [c97]Luca Del Pero, Susanna Ricco, Rahul Sukthankar, Vittorio Ferrari:
Articulated motion discovery using pairs of trajectories. CVPR 2015: 2151-2160 - [c96]Xufeng Han, Thomas Leung, Yangqing Jia, Rahul Sukthankar, Alexander C. Berg:
MatchNet: Unifying feature and metric learning for patch-based matching. CVPR 2015: 3279-3286 - [c95]Zhengyang Wu, Fuxin Li, Rahul Sukthankar, James M. Rehg:
Robust video segment proposals with painless occlusion handling. CVPR 2015: 4194-4203 - [c94]Dinesh Manocha, Marc Pollefeys, Rif Saurous, Rahul Sukthankar, Ruigang Yang:
Preface to 3D Reconstruction and Understanding with Video and Sound. ICCV Workshops 2015: 688-692 - [c93]Michele Covell, Shumeet Baluja, Rahul Sukthankar:
Micro-Auction-Based Traffic-Light Control: Responsive, Local Decision Making. ITSC 2015: 558-565 - [c92]Shumeet Baluja, Michele Covell, Rahul Sukthankar:
Approximating the Effects of Installed Traffic Lights: A Behaviorist Approach Based on Travel Tracks. ITSC 2015: 2205-2212 - [c91]Chen Sun, Sanketh Shetty, Rahul Sukthankar, Ram Nevatia:
Temporal Localization of Fine-Grained Actions in Videos by Domain Transfer from Web Images. ACM Multimedia 2015: 371-380 - [i10]Chen Sun, Sanketh Shetty, Rahul Sukthankar, Ram Nevatia:
Temporal Localization of Fine-Grained Actions in Videos by Domain Transfer from Web Images. CoRR abs/1504.00983 (2015) - [i9]Abhimanyu Dubey, Nikhil Naik, Dan Raviv, Rahul Sukthankar, Ramesh Raskar:
Coreset-Based Adaptive Tracking. CoRR abs/1511.06147 (2015) - [i8]Luca Del Pero, Susanna Ricco, Rahul Sukthankar, Vittorio Ferrari:
Behavior Discovery and Alignment of Articulated Object Classes from Unstructured Video. CoRR abs/1511.09319 (2015) - [i7]Marius Leordeanu, Alexandra Radu, Shumeet Baluja, Rahul Sukthankar:
Labeling the Features Not the Samples: Efficient Video Classification with Minimal Supervision. CoRR abs/1512.00517 (2015) - 2014
- [j20]Marius Leordeanu, Rahul Sukthankar, Cristian Sminchisescu:
Generalized Boundaries from Multiple Image Interpretations. IEEE Trans. Pattern Anal. Mach. Intell. 36(7): 1312-1324 (2014) - [j19]Subhabrata Bhattacharya, Ramin Mehran, Rahul Sukthankar, Mubarak Shah:
Classification of Cinematographic Shots Using Lie Algebra and its Application to Complex Event Recognition. IEEE Trans. Multim. 16(3): 686-696 (2014) - [c90]Andrej Karpathy, George Toderici, Sanketh Shetty, Thomas Leung, Rahul Sukthankar, Li Fei-Fei:
Large-Scale Video Classification with Convolutional Neural Networks. CVPR 2014: 1725-1732 - [c89]Subhabrata Bhattacharya, Mahdi M. Kalayeh, Rahul Sukthankar, Mubarak Shah:
Recognition of Complex Events: Exploiting Temporal Dynamics between Underlying Concepts. CVPR 2014: 2243-2250 - [c88]Le Wang, Gang Hua, Rahul Sukthankar, Jianru Xue, Nanning Zheng:
Video Object Discovery and Co-segmentation with Extremely Weak Supervision. ECCV (4) 2014: 640-655 - [c87]Rui Hou, Amir Roshan Zamir, Rahul Sukthankar, Mubarak Shah:
DaMN - Discriminative and Mutually Nearest: Exploiting Pairwise Category Proximity for Video Action Recognition. ECCV (3) 2014: 721-736 - [i6]Marius Leordeanu, Rahul Sukthankar:
Thoughts on a Recursive Classifier Graph: a Multiclass Network for Deep Object Recognition. CoRR abs/1404.2903 (2014) - [i5]Marius Leordeanu, Alexandra Radu, Rahul Sukthankar:
Features in Concert: Discriminative Feature Selection meets Unsupervised Clustering. CoRR abs/1411.7714 (2014) - [i4]Luca Del Pero, Susanna Ricco, Rahul Sukthankar, Vittorio Ferrari:
Articulated motion discovery using pairs of trajectories. CoRR abs/1411.7883 (2014) - [i3]Luca Del Pero, Susanna Ricco, Rahul Sukthankar, Vittorio Ferrari:
Recovering Spatiotemporal Correspondence between Deformable Objects by Exploiting Consistent Foreground Motion in Video. CoRR abs/1412.0477 (2014) - 2013
- [j18]Vita Markman, Georgi Stojanov, Bipin Indurkhya, Takashi Kido, Keiki Takadama, George Dimitri Konidaris, Eric Eaton, Naohiro Matsumura, Renate Fruchter, Donald A. Sofge, William F. Lawless, Omid Madani, Rahul Sukthankar:
Reports of the 2013 AAAI Spring Symposium Series. AI Mag. 34(3): 93-98 (2013) - [j17]Christopher Ellis, Syed Zain Masood, Marshall F. Tappen, Joseph J. LaViola Jr., Rahul Sukthankar:
Exploring the Trade-off Between Accuracy and Observational Latency in Action Recognition. Int. J. Comput. Vis. 101(3): 420-436 (2013) - [c86]Aydin Arpa, Luca Ballan, Rahul Sukthankar, Gabriel Taubin, Marc Pollefeys, Ramesh Raskar:
CrowdCam: Instantaneous Navigation of Crowd Images Using Angled Graph. 3DV 2013: 422-429 - [c85]Kevin D. Tang, Rahul Sukthankar, Jay Yagnik, Li Fei-Fei:
Discriminative Segment Annotation in Weakly Labeled Video. CVPR 2013: 2483-2490 - [c84]Yicong Tian, Rahul Sukthankar, Mubarak Shah:
Spatiotemporal Deformable Part Models for Action Detection. CVPR 2013: 2642-2649 - [c83]Pyry Matikainen, P. Michael Furlong, Rahul Sukthankar, Martial Hebert:
Multi-armed recommendation bandits for selecting state machine policies for robotic systems. ICRA 2013: 4545-4551 - 2012
- [j16]Marius Leordeanu, Rahul Sukthankar, Martial Hebert:
Unsupervised Learning for Graph Matching. Int. J. Comput. Vis. 96(1): 28-45 (2012) - [c82]Pyry Matikainen, Rahul Sukthankar, Martial Hebert:
Model recommendation for action recognition. CVPR 2012: 2256-2263 - [c81]Felix von Hundelshausen, Rahul Sukthankar:
D-Nets: Beyond patch-based image descriptors. CVPR 2012: 2941-2948 - [c80]Glenn Hartmann, Matthias Grundmann, Judy Hoffman, David Tsai, Vivek Kwatra, Omid Madani, Sudheendra Vijayanarasimhan, Irfan A. Essa, James M. Rehg, Rahul Sukthankar:
Weakly Supervised Learning of Object Segmentations from Web-Scale Video. ECCV Workshops (1) 2012: 198-208 - [c79]Pyry Matikainen, Rahul Sukthankar, Martial Hebert:
Classifier Ensemble Recommendation. ECCV Workshops (1) 2012: 209-218 - [c78]Marius Leordeanu, Rahul Sukthankar, Cristian Sminchisescu:
Efficient Closed-Form Solution to Generalized Boundary Detection. ECCV (4) 2012: 516-529 - [c77]Liyue Zhao, Gita Sukthankar, Rahul Sukthankar:
Importance-weighted label prediction for active learning with noisy annotations. ICPR 2012: 3476-3479 - [c76]Debadeepta Dey, Lily B. Mummert, Rahul Sukthankar:
Classification of plant structures from uncalibrated image sequences. WACV 2012: 329-336 - [i2]Marius Leordeanu, Rahul Sukthankar, Cristian Sminchisescu:
Generalized Boundaries from Multiple Image Interpretations. CoRR abs/1202.3684 (2012) - [i1]Liu Yang, Rong Jin, Rahul Sukthankar:
Bayesian Active Distance Metric Learning. CoRR abs/1206.5283 (2012) - 2011
- [j15]Rong Yan, Benoit Huet, Rahul Sukthankar:
Large-Scale Multimedia Retrieval and Mining [Guest editors' introduction]. IEEE Multim. 18(1): 11-13 (2011) - [j14]Oscar Déniz, Gloria Bueno García, Enrique Bermejo Nievas, Rahul Sukthankar:
Fast and accurate global motion compensation. Pattern Recognit. 44(12): 2887-2901 (2011) - [j13]Subhabrata Bhattacharya, Rahul Sukthankar, Mubarak Shah:
A holistic approach to aesthetic enhancement of photographs. ACM Trans. Multim. Comput. Commun. Appl. 7(Supplement): 21 (2011) - [c75]Liyue Zhao, Gita Sukthankar, Rahul Sukthankar:
Robust Active Learning Using Crowdsourced Annotations for Activity Recognition. Human Computation 2011 - [c74]Enrique Bermejo Nievas, Oscar Déniz-Suárez, Gloria Bueno García, Rahul Sukthankar:
Violence Detection in Video Using Computer Vision Techniques. CAIP (2) 2011: 332-339 - [c73]Hakan Boyraz, Marshall F. Tappen, Rahul Sukthankar:
Localizing actions through sequential 2D video projections. CVPR Workshops 2011: 34-39 - [c72]Subhabrata Bhattacharya, Rahul Sukthankar, Rong Jin, Mubarak Shah:
A probabilistic representation for efficient large scale visual recognition tasks. CVPR 2011: 2593-2600 - [c71]Pyry Matikainen, Padmanabhan Pillai, Lily B. Mummert, Rahul Sukthankar, Martial Hebert:
Prop-free pointing detection in dynamic cluttered environments. FG 2011: 374-381 - [c70]Pyry Matikainen, Rahul Sukthankar, Martial Hebert:
Feature seeding for action recognition. ICCV 2011: 1716-1723 - [c69]Syed Zain Masood, Christopher Ellis, Adarsh Nagaraja, Marshall F. Tappen, Joseph J. LaViola Jr., Rahul Sukthankar:
Measuring and reducing observational latency when recognizing actions. ICCV Workshops 2011: 422-429 - [c68]Liyue Zhao, Gita Sukthankar, Rahul Sukthankar:
Incremental Relabeling for Active Learning with Noisy Crowdsourced Annotations. SocialCom/PASSAT 2011: 728-733 - 2010
- [j12]Peng Yang, Randy A. Freeman, Geoffrey J. Gordon, Kevin M. Lynch, Siddhartha S. Srinivasa, Rahul Sukthankar:
Decentralized estimation and control of graph connectivity for mobile sensor networks. Autom. 46(2): 390-396 (2010) - [j11]Yan Ke, Rahul Sukthankar, Martial Hebert:
Volumetric Features for Video Event Detection. Int. J. Comput. Vis. 88(3): 339-362 (2010) - [j10]