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2020 – today
- 2020
[c24]Ali Diba, Mohsen Fayyaz, Vivek Sharma, Manohar Paluri, Jürgen Gall, Rainer Stiefelhagen, Luc Van Gool:
Large Scale Holistic Video Understanding. ECCV (5) 2020: 593-610
2010 – 2019
- 2019
- [c23]Ji Zhang, Yannis Kalantidis, Marcus Rohrbach, Manohar Paluri, Ahmed Elgammal, Mohamed Elhoseiny:
Large-Scale Visual Relationship Understanding. AAAI 2019: 9185-9194 - [c22]Anil Batra, Suriya Singh, Guan Pang, Saikat Basu, C. V. Jawahar
, Manohar Paluri:
Improved Road Connectivity by Joint Learning of Orientation and Segmentation. CVPR 2019: 10385-10393 - [i19]Ali Diba, Mohsen Fayyaz, Vivek Sharma, Manohar Paluri, Jürgen Gall, Rainer Stiefelhagen, Luc Van Gool:
Holistic Large Scale Video Understanding. CoRR abs/1904.11451 (2019) - [i18]I. Zeki Yalniz, Hervé Jégou, Kan Chen, Manohar Paluri, Dhruv Mahajan:
Billion-scale semi-supervised learning for image classification. CoRR abs/1905.00546 (2019) - 2018
- [c21]Mohamed Elhoseiny, Francesca Babiloni, Rahaf Aljundi, Marcus Rohrbach, Manohar Paluri, Tinne Tuytelaars:
Exploring the Challenges Towards Lifelong Fact Learning. ACCV (6) 2018: 66-84 - [c20]Suriya Singh, Anil Batra, Guan Pang, Lorenzo Torresani, Saikat Basu, Manohar Paluri, C. V. Jawahar:
Self-Supervised Feature Learning for Semantic Segmentation of Overhead Imagery. BMVC 2018: 102 - [c19]Rohit Girdhar, Georgia Gkioxari, Lorenzo Torresani, Manohar Paluri, Du Tran:
Detect-and-Track: Efficient Pose Estimation in Videos. CVPR 2018: 350-359 - [c18]Du Tran, Heng Wang, Lorenzo Torresani, Jamie Ray, Yann LeCun, Manohar Paluri:
A Closer Look at Spatiotemporal Convolutions for Action Recognition. CVPR 2018: 6450-6459 - [c17]De-An Huang, Vignesh Ramanathan, Dhruv Mahajan, Lorenzo Torresani, Manohar Paluri, Li Fei-Fei, Juan Carlos Niebles:
What Makes a Video a Video: Analyzing Temporal Information in Video Understanding Models and Datasets. CVPR 2018: 7366-7375 - [c16]Dhruv Mahajan, Ross B. Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, Laurens van der Maaten:
Exploring the Limits of Weakly Supervised Pretraining. ECCV (2) 2018: 185-201 - [c15]Jamie Ray, Heng Wang, Du Tran, Yufei Wang, Matt Feiszli, Lorenzo Torresani, Manohar Paluri:
Scenes-Objects-Actions: A Multi-task, Multi-label Video Dataset. ECCV (14) 2018: 660-676 - [i17]Ji Zhang, Yannis Kalantidis, Marcus Rohrbach, Manohar Paluri, Ahmed M. Elgammal, Mohamed Elhoseiny:
Large-Scale Visual Relationship Understanding. CoRR abs/1804.10660 (2018) - [i16]Dhruv Mahajan, Ross B. Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, Laurens van der Maaten:
Exploring the Limits of Weakly Supervised Pretraining. CoRR abs/1805.00932 (2018) - [i15]Mohamed Elhoseiny, Francesca Babiloni, Rahaf Aljundi, Marcus Rohrbach, Manohar Paluri, Tinne Tuytelaars:
Exploring the Challenges towards Lifelong Fact Learning. CoRR abs/1812.10524 (2018) - 2017
- [c14]Vijay Kumar, Anoop M. Namboodiri, Manohar Paluri, C. V. Jawahar:
Pose-Aware Person Recognition. CVPR 2017: 6797-6806 - [c13]Song Han, Jeff Pool, Sharan Narang, Huizi Mao, Enhao Gong, Shijian Tang, Erich Elsen, Peter Vajda, Manohar Paluri, John Tran, Bryan Catanzaro, William J. Dally:
DSD: Dense-Sparse-Dense Training for Deep Neural Networks. ICLR (Poster) 2017 - [c12]Quanzeng You, Dario García-García, Manohar Paluri, Jiebo Luo, Jungseock Joo:
Cultural Diffusion and Trends in Facebook Photographs. ICWSM 2017: 347-356 - [i14]Tim Danford, Onur Filiz, Jing Huang, Brian Karrer, Manohar Paluri, Guan Pang, Vish Ponnampalam, Nicolás Stier Moses, Birce Tezel:
End-to-end Planning of Fixed Millimeter-Wave Networks. CoRR abs/1705.07249 (2017) - [i13]Quanzeng You, Dario García-García, Manohar Paluri, Jiebo Luo, Jungseock Joo:
Cultural Diffusion and Trends in Facebook Photographs. CoRR abs/1705.08974 (2017) - [i12]Vijay Kumar, Anoop M. Namboodiri, Manohar Paluri, C. V. Jawahar:
Pose-Aware Person Recognition. CoRR abs/1705.10120 (2017) - [i11]Du Tran, Jamie Ray, Zheng Shou, Shih-Fu Chang, Manohar Paluri:
ConvNet Architecture Search for Spatiotemporal Feature Learning. CoRR abs/1708.05038 (2017) - [i10]Du Tran, Heng Wang, Lorenzo Torresani, Jamie Ray, Yann LeCun, Manohar Paluri:
A Closer Look at Spatiotemporal Convolutions for Action Recognition. CoRR abs/1711.11248 (2017) - [i9]Rohit Girdhar, Georgia Gkioxari, Lorenzo Torresani, Manohar Paluri, Du Tran:
Detect-and-Track: Efficient Pose Estimation in Videos. CoRR abs/1712.09184 (2017) - 2016
- [c11]Du Tran, Lubomir D. Bourdev, Rob Fergus, Lorenzo Torresani, Manohar Paluri:
Deep End2End Voxel2Voxel Prediction. CVPR Workshops 2016: 402-409 - [c10]Yin Li, Manohar Paluri, James M. Rehg, Piotr Dollár:
Unsupervised Learning of Edges. CVPR 2016: 1619-1627 - [c9]Chen Sun, Manohar Paluri, Ronan Collobert, Ram Nevatia, Lubomir D. Bourdev:
ProNet: Learning to Propose Object-Specific Boxes for Cascaded Neural Networks. CVPR 2016: 3485-3493 - [c8]Oren Rippel, Manohar Paluri, Piotr Dollár, Lubomir D. Bourdev:
Metric Learning with Adaptive Density Discrimination. ICLR (Poster) 2016 - [i8]Du Tran, Manohar Paluri, Lorenzo Torresani:
ViCom: Benchmark and Methods for Video Comprehension. CoRR abs/1606.07373 (2016) - 2015
- [c7]Ning Zhang, Manohar Paluri, Yaniv Taigman, Rob Fergus, Lubomir D. Bourdev:
Beyond frontal faces: Improving Person Recognition using multiple cues. CVPR 2015: 4804-4813 - [c6]Kevin D. Tang, Manohar Paluri, Li Fei-Fei, Robert Fergus, Lubomir D. Bourdev:
Improving Image Classification with Location Context. ICCV 2015: 1008-1016 - [c5]Du Tran, Lubomir D. Bourdev, Rob Fergus, Lorenzo Torresani, Manohar Paluri:
Learning Spatiotemporal Features with 3D Convolutional Networks. ICCV 2015: 4489-4497 - [c4]Emily Denton, Jason Weston, Manohar Paluri, Lubomir D. Bourdev, Rob Fergus:
User Conditional Hashtag Prediction for Images. KDD 2015: 1731-1740 - [i7]Ning Zhang, Manohar Paluri, Yaniv Taigman, Rob Fergus, Lubomir D. Bourdev:
Beyond Frontal Faces: Improving Person Recognition Using Multiple Cues. CoRR abs/1501.05703 (2015) - [i6]Kevin D. Tang, Manohar Paluri, Li Fei-Fei, Rob Fergus, Lubomir D. Bourdev:
Improving Image Classification with Location Context. CoRR abs/1505.03873 (2015) - [i5]Chen Sun, Manohar Paluri, Ronan Collobert, Ram Nevatia, Lubomir D. Bourdev:
ProNet: Learning to Propose Object-specific Boxes for Cascaded Neural Networks. CoRR abs/1511.03776 (2015) - [i4]Yin Li, Manohar Paluri, James M. Rehg, Piotr Dollár:
Unsupervised Learning of Edges. CoRR abs/1511.04166 (2015) - [i3]Du Tran, Lubomir D. Bourdev, Rob Fergus, Lorenzo Torresani, Manohar Paluri:
Deep End2End Voxel2Voxel Prediction. CoRR abs/1511.06681 (2015) - 2014
- [c3]Ning Zhang, Manohar Paluri, Marc'Aurelio Ranzato, Trevor Darrell, Lubomir D. Bourdev:
PANDA: Pose Aligned Networks for Deep Attribute Modeling. CVPR 2014: 1637-1644 - [i2]Du Tran, Lubomir D. Bourdev, Rob Fergus, Lorenzo Torresani, Manohar Paluri:
C3D: Generic Features for Video Analysis. CoRR abs/1412.0767 (2014) - 2013
- [i1]Ning Zhang, Manohar Paluri, Marc'Aurelio Ranzato, Trevor Darrell, Lubomir D. Bourdev:
PANDA: Pose Aligned Networks for Deep Attribute Modeling. CoRR abs/1311.5591 (2013) - 2012
- [c2]Can Erdogan, Manohar Paluri, Frank Dellaert:
Planar Segmentation of RGBD Images Using Fast Linear Fitting and Markov Chain Monte Carlo. CRV 2012: 32-39 - 2010
- [c1]John G. Rogers III, Alexander J. B. Trevor, Carlos Nieto-Granda, Alexander Cunningham, Manohar Paluri, Nathan Michael, Frank Dellaert, Henrik I. Christensen, Vijay Kumar:
Effects of Sensory Precision on Mobile Robot Localization and Mapping. ISER 2010: 433-446
Coauthor Index
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