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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]Mahadev Satyanarayanan, Rahul Sukthankar, Adam Goode, Nilton Bila, Lily B. Mummert, Jan Harkes, Adam Wolbach, Larry Huston, Eyal de Lara:
Searching Complex Data Without an Index. Int. J. Next Gener. Comput. 1(2) (2010) - [j9]Mahadev Satyanarayanan, Rahul Sukthankar, Lily B. Mummert, Adam Goode, Jan Harkes, Steven W. Schlosser:
The unique strengths and storage access characteristics of discard-based search. J. Internet Serv. Appl. 1(1): 31-44 (2010) - [j8]Liu Yang, Rong Jin, Lily B. Mummert, Rahul Sukthankar, Adam Goode, Bin Zheng, Steven C. H. Hoi, Mahadev Satyanarayanan:
A Boosting Framework for Visuality-Preserving Distance Metric Learning and Its Application to Medical Image Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 32(1): 30-44 (2010) - [j7]Tim Kindberg, Thomas Pederson, Rahul Sukthankar:
Guest Editors' Introduction: Labeling the World. IEEE Pervasive Comput. 9(2): 8-10 (2010) - [c67]Shulin Yang, Mei Chen, Dean Pomerleau, Rahul Sukthankar:
Food recognition using statistics of pairwise local features. CVPR 2010: 2249-2256 - [c66]Kevin D. Tang, Marshall F. Tappen, Rahul Sukthankar, Christoph H. Lampert:
Optimizing one-shot recognition with micro-set learning. CVPR 2010: 3027-3034 - [c65]Pyry Matikainen, Martial Hebert, Rahul Sukthankar:
Representing Pairwise Spatial and Temporal Relations for Action Recognition. ECCV (1) 2010: 508-521 - [c64]Liyue Zhao, Xi Wang, Gita Sukthankar, Rahul Sukthankar:
Motif Discovery and Feature Selection for CRF-based Activity Recognition. ICPR 2010: 3826-3829 - [c63]Ming-yu Chen, Lily B. Mummert, Padmanabhan Pillai, Alexander G. Hauptmann, Rahul Sukthankar:
Controlling your TV with gestures. Multimedia Information Retrieval 2010: 405-408 - [c62]Subhabrata Bhattacharya, Rahul Sukthankar, Mubarak Shah:
A framework for photo-quality assessment and enhancement based on visual aesthetics. ACM Multimedia 2010: 271-280 - [c61]Ming-yu Chen, Lily B. Mummert, Padmanabhan Pillai, Alexander G. Hauptmann, Rahul Sukthankar:
Exploiting multi-level parallelism for low-latency activity recognition in streaming video. MMSys 2010: 1-12
2000 – 2009
- 2009
- [c60]Pyry Matikainen, Martial Hebert, Rahul Sukthankar:
Trajectons: Action recognition through the motion analysis of tracked features. ICCV Workshops 2009: 514-521 - [c59]Mei Chen, Kapil Dhingra, Wen Wu, Lei Yang, Rahul Sukthankar, Jie Yang:
PFID: Pittsburgh fast-food image dataset. ICIP 2009: 289-292 - [c58]Rong Yan, John R. Smith, Qi Tian, Rahul Sukthankar:
The 1st workshop on large-scale multimedia retrieval and mining (LS-MMRM'09). ACM Multimedia 2009: 1151-1152 - [c57]Marius Leordeanu, Martial Hebert, Rahul Sukthankar:
An Integer Projected Fixed Point Method for Graph Matching and MAP Inference. NIPS 2009: 1114-1122 - [c56]Padmanabhan Pillai, Lily B. Mummert, Steven W. Schlosser, Rahul Sukthankar, Casey Helfrich:
SLIPstream: scalable low-latency interactive perception on streaming data. NOSSDAV 2009: 43-48 - [e1]Rong Yan, Qi Tian, John R. Smith, Rahul Sukthankar:
Proceedings of the First ACM workshop on Large-scale multimedia retrieval and mining, LS-MMRM@ACM Multimedia 2009, Beijing, China, October 23, 2009. ACM 2009, ISBN 978-1-60558-756-1 [contents] - 2008
- [j6]Nigel Davies, Daniel P. Siewiorek, Rahul Sukthankar:
Activity-Based Computing. IEEE Pervasive Comput. 7(2): 20-21 (2008) - [c55]Peng Yang, Randy A. Freeman, Geoffrey J. Gordon, Kevin M. Lynch, Siddhartha S. Srinivasa, Rahul Sukthankar:
Decentralized estimation and control of graph connectivity in mobile sensor networks. ACC 2008: 2678-2683 - [c54]Dhruv Batra, Rahul Sukthankar, Tsuhan Chen:
Semi-Supervised Clustering via Learnt Codeword Distances. BMVC 2008: 1-10 - [c53]Pyry Matikainen, Rahul Sukthankar, Martial Hebert, Yan Ke:
Fast Motion Consistency through Matrix Quantization. BMVC 2008: 1-10 - [c52]Dhruv Batra, Rahul Sukthankar, Tsuhan Chen:
Learning class-specific affinities for image labelling. CVPR 2008 - [c51]Liu Yang, Rong Jin, Rahul Sukthankar, Frédéric Jurie:
Unifying discriminative visual codebook generation with classifier training for object category recognition. CVPR 2008 - [c50]Adam Goode, Rahul Sukthankar, Lily B. Mummert, Mei Chen, Jeffrey Saltzman, David A. Ross, Stacey Szymanski, Anil Tarachandani, Mahadev Satyanarayanan:
Distributed online anomaly detection in high-content screening. ISBI 2008: 249-252 - [c49]Liu Yang, Rong Jin, Rahul Sukthankar:
Semi-supervised Learning with Weakly-Related Unlabeled Data: Towards Better Text Categorization. NIPS 2008: 1857-1864 - 2007
- [j5]Jay Summet, Matthew Flagg, Tat-Jen Cham, James M. Rehg, Rahul Sukthankar:
Shadow Elimination and Blinding Light Suppression for Interactive Projected Displays. IEEE Trans. Vis. Comput. Graph. 13(3): 508-517 (2007) - [c48]Yan Ke, Rahul Sukthankar, Martial Hebert:
Spatio-temporal Shape and Flow Correlation for Action Recognition. CVPR 2007 - [c47]Marius Leordeanu, Martial Hebert, Rahul Sukthankar:
Beyond Local Appearance: Category Recognition from Pairwise Interactions of Simple Features. CVPR 2007 - [c46]Liu Yang, Rong Jin, Caroline Pantofaru, Rahul Sukthankar:
Discriminative Cluster Refinement: Improving Object Category Recognition Given Limited Training Data. CVPR 2007 - [c45]Rong Jin, Ming Wu, Rahul Sukthankar:
Semi-supervised Collaborative Text Classification. ECML 2007: 600-607 - [c44]Yan Ke, Rahul Sukthankar, Martial Hebert:
Event Detection in Crowded Videos. ICCV 2007: 1-8 - [c43]Adam Goode, Mei Chen, Anil Tarachandani, Lily B. Mummert, Rahul Sukthankar, Casey Helfrich, Alice Stefanni, Limor Fix, Jeffrey Saltzman, Mahadev Satyanarayanan:
Interactive Search of Adipocytes in Large Collections of Digital Cellular Images. ICME 2007: 695-698 - [c42]Liu Yang, Rong Jin, Rahul Sukthankar, Bin Zheng, Lily B. Mummert, Mahadev Satyanarayanan, Mei Chen, Drazen Jukic:
Learning distance metrics for interactive search-assisted diagnosis of mammograms. Computer-Aided Diagnosis 2007: 65141H - [c41]Liu Yang, Rong Jin, Rahul Sukthankar:
Bayesian Active Distance Metric Learning. UAI 2007: 442-449 - [c40]Devi Parikh, Rahul Sukthankar, Tsuhan Chen, Mei Chen:
Feature-based Part Retrieval for Interactive 3D Reassembly. WACV 2007: 14 - 2006
- [c39]Liu Yang, Rong Jin, Rahul Sukthankar, Yi Liu:
An Efficient Algorithm for Local Distance Metric Learning. AAAI 2006: 543-548 - [c38]Yutaka Hirano, Christophe Garcia, Rahul Sukthankar, Anthony Hoogs:
Industry and Object Recognition: Applications, Applied Research and Challenges. Toward Category-Level Object Recognition 2006: 49-64 - [c37]Rahul Sukthankar, Yan Ke, Derek Hoiem:
Semantic Learning for Audio Applications: A Computer Vision Approach. CVPR Workshops 2006: 112 - [c36]Feng Kang, Rong Jin, Rahul Sukthankar:
Correlated Label Propagation with Application to Multi-label Learning. CVPR (2) 2006: 1719-1726 - [c35]Stanislav Funiak, Carlos Guestrin, Mark A. Paskin, Rahul Sukthankar:
Distributed localization of networked cameras. IPSN 2006: 34-42 - [c34]Stanislav Funiak, Carlos Guestrin, Mark A. Paskin, Rahul Sukthankar:
Distributed Inference in Dynamical Systems. NIPS 2006: 433-440 - 2005
- [j4]Grant Wallace, Otto J. Anshus, Peng Bi, Han Chen, Yuqun Chen, Douglas W. Clark, Perry R. Cook, Adam Finkelstein, Thomas A. Funkhouser, Anoop Gupta, Matthew A. Hibbs, Kai Li, Zhiyan Liu, Rudrajit Samanta, Rahul Sukthankar, Olga G. Troyanskaya:
Tools and Applications for Large-Scale Display Walls. IEEE Computer Graphics and Applications 25(4): 24-33 (2005) - [c33]Yan Ke, Derek Hoiem, Rahul Sukthankar:
Computer Vision for Music Identification. CVPR (1) 2005: 597-604 - [c32]Yan Ke, Derek Hoiem, Rahul Sukthankar:
Computer Vision for Music Identification: Video Demonstration. CVPR (2) 2005: 1184 - [c31]Larry Huston, Alex Nizhner, Padmanabhan Pillai, Rahul Sukthankar, Peter Steenkiste, Jiaying Zhang:
Dynamic load balancing for distributed search. HPDC 2005: 157-166 - [c30]Derek Hoiem, Yan Ke, Rahul Sukthankar:
SOLAR: sound object localization and retrieval in complex audio environments. ICASSP (5) 2005: 429-432 - [c29]Yan Ke, Rahul Sukthankar, Martial Hebert:
Efficient Visual Event Detection Using Volumetric Features. ICCV 2005: 166-173 - [c28]Larry Huston, Rahul Sukthankar, Yan Ke:
Evaluating keypoint methods for content-based copyright protection of digital images. ICME 2005: 1086-1089 - [c27]Jason Campbell, Rahul Sukthankar, Illah R. Nourbakhsh, Aroon Pahwa:
A Robust Visual Odometry and Precipice Detection System Using Consumer-grade Monocular Vision. ICRA 2005: 3421-3427 - [c26]Jason Campbell, Phillip B. Gibbons, Suman Nath, Padmanabhan Pillai, Srinivasan Seshan, Rahul Sukthankar:
IrisNet: an internet-scale architecture for multimedia sensors. ACM Multimedia 2005: 81-88 - [c25]Jay Summet, Rahul Sukthankar:
Tracking Locations of Moving Hand-Held Displays Using Projected Light. Pervasive 2005: 37-46 - 2004
- [c24]Jason Campbell, Rahul Sukthankar, Illah R. Nourbakhsh:
Visual Odometry Using Commodity Optical Flow. AAAI 2004: 1008-1009 - [c23]Mark Ashdown, Matthew Flagg, Rahul Sukthankar, James M. Rehg:
A Flexible Projector-Camera System for Multi-Planar Displays. CVPR (2) 2004: 165-172 - [c22]Derek Hoiem, Rahul Sukthankar, Henry Schneiderman, Larry Huston:
Object-Based Image Retrieval Using the Statistical Structure of Images. CVPR (2) 2004: 490-497 - [c21]Yan Ke, Rahul Sukthankar:
PCA-SIFT: A More Distinctive Representation for Local Image Descriptors. CVPR (2) 2004: 506-513 - [c20]Larry Huston, Rahul Sukthankar, Rajiv Wickremesinghe, Mahadev Satyanarayanan, Gregory R. Ganger, Erik Riedel, Anastassia Ailamaki:
Diamond: A Storage Architecture for Early Discard in Interactive Search. FAST 2004: 73-86 - [c19]Larry Huston, Rahul Sukthankar, Derek Hoiem, Jiaying Zhang:
SnapFind: brute force interactive image retrieval. ICIG 2004: 154-159 - [c18]Jason Campbell, Rahul Sukthankar, Illah R. Nourbakhsh:
Techniques for evaluating optical flow for visual odometry in extreme terrain. IROS 2004: 3704-3711 - [c17]Larry Huston, Rahul Sukthankar, Jason Campbell, Padmanabhan Pillai:
Forensic video reconstruction. VSSN@MM 2004: 20-28 - [c16]Yan Ke, Rahul Sukthankar, Larry Huston:
An efficient parts-based near-duplicate and sub-image retrieval system. ACM Multimedia 2004: 869-876 - 2003
- [c15]Tat-Jen Cham, James M. Rehg, Rahul Sukthankar, Gita Sukthankar:
Shadow Elimination and Occluder Light Suppression for Multi-Projector Displays. CVPR (2) 2003: 513-520 - 2002
- [c14]Brandon C. S. Sanders, Randal C. Nelson, Rahul Sukthankar:
The OD Theory of TOD: The Use and Limits of Temporal Information for Object Discovery. AAAI/IAAI 2002: 777-785 - [c13]James M. Rehg, Matthew Flagg, Tat-Jen Cham, Rahul Sukthankar, Gita Sukthankar:
Projected light displays using visual feedback. ICARCV 2002: 926-932 - [c12]Brandon C. S. Sanders, Randal C. Nelson, Rahul Sukthankar:
A Theory of the Quasi-Static World. ICPR (3) 2002: 1-6 - [c11]Han Chen, Rahul Sukthankar, Grant Wallace, Kai Li:
Scalable Alignment of Large-Format Multi-Projector Displays Using Camera Homography Trees. IEEE Visualization 2002: 339-346 - 2001
- [j3]Rahul Sukthankar, Robert G. Stockton:
Argus: The Digital Doorman. IEEE Intell. Syst. 16(2): 14-19 (2001) - [c10]Rahul Sukthankar, Tat-Jen Cham, Gita Sukthankar:
Dynamic Shadow Elimination for Multi-Projector Displays. CVPR (2) 2001: 151-157 - [c9]Rahul Sukthankar, Robert G. Stockton, Matthew D. Mullin:
Smarter Presentations: Exploiting Homography in Camera-Projector Systems. ICCV 2001: 247-253 - [c8]Rahul Sukthankar, Tat-Jen Cham, Gita Sukthankar, James M. Rehg, David Hsu, Thomas Leung:
Self-Calibrating Camera Projector Systems for Interactive Displays and Presentations. ICCV 2001: 748 - 2000
- [j2]Shumeet Baluja, Vibhu O. Mittal, Rahul Sukthankar:
Applying Machine Learning for High-Performance Named-Entity Extraction. Comput. Intell. 16(4): 586-596 (2000) - [c7]Terence Sim, Rahul Sukthankar, Matthew D. Mullin, Shumeet Baluja:
Memory-Based Face Recognition for Visitor Identification. FG 2000: 214-220 - [c6]Rahul Sukthankar, Robert G. Stockton, Matthew D. Mullin:
AutomaticKeystone Correction for Camera-Assisted Presentation Interfaces. ICMI 2000: 607-614 - [c5]Matthew D. Mullin, Rahul Sukthankar:
Complete Cross-Validation for Nearest Neighbor Classifiers. ICML 2000: 639-646 - [c4]Robert G. Stockton, Rahul Sukthankar:
JKanji: Wavelet-Based Interactive Kanji Completion. ICPR 2000: 4442-4446
1990 – 1999
- 1999
- [c3]Rahul Sukthankar, Robert G. Stockton:
ARGUS: An Automated Multi-Agent Visitor Identification System. AAAI/IAAI 1999: 208-213 - [c2]Rahul Sukthankar, Antoine Brusseau, Ray Pelletier, Robert G. Stockton:
JGram: Rapid Development of Multi-Agent Pipelines for Real-World Tasks. ASA/MA 1999: 30-41 - 1998
- [j1]Rahul Sukthankar, Shumeet Baluja, John A. Hancock:
Multiple Adaptive Agents for Tactical Driving. Appl. Intell. 9(1): 7-23 (1998) - 1997
- [c1]Rahul Sukthankar, Shumeet Baluja, John A. Hancock:
Evolving an intelligent vehicle for tactical reasoning in traffic. ICRA 1997: 519-524
Coauthor Index
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