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ORCIDKarteek Alahari
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- affiliation: Inria Grenoble, France
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2020 – today
- 2024
[j9]Pia Bideau
, Erik G. Learned-Miller, Cordelia Schmid, Karteek Alahari:
The Right Spin: Learning Object Motion from Rotation-Compensated Flow Fields. Int. J. Comput. Vis. 132(1): 40-55 (2024)- [c57]Tariq Berrada, Jakob Verbeek, Camille Couprie, Karteek Alahari:
Unlocking Pre-Trained Image Backbones for Semantic Image Synthesis. CVPR 2024: 7840-7849 - [c56]Hubert Leterme, Kévin Polisano, Valérie Perrier, Karteek Alahari:
From CNNs to Shift-Invariant Twin Models Based on Complex Wavelets. EUSIPCO 2024: 476-480 - [c55]Tariq Berrada, Camille Couprie, Karteek Alahari, Jakob Verbeek:
Guided Distillation for Semi-Supervised Instance Segmentation. WACV 2024: 464-472 - 2023
- [j8]Florent Bartoccioni, Éloi Zablocki, Patrick Pérez, Matthieu Cord, Karteek Alahari:
LiDARTouch: Monocular metric depth estimation with a few-beam LiDAR. Comput. Vis. Image Underst. 227: 103601 (2023) - [c54]Enrico Fini, Pietro Astolfi, Karteek Alahari, Xavier Alameda-Pineda, Julien Mairal, Moin Nabi, Elisa Ricci:
Semi-supervised learning made simple with self-supervised clustering. CVPR 2023: 3187-3197 - [c53]Mert Bülent Sariyildiz, Karteek Alahari, Diane Larlus, Yannis Kalantidis:
Fake it Till You Make it: Learning Transferable Representations from Synthetic ImageNet Clones. CVPR 2023: 8011-8021 - [c52]Zhiqi Kang, Enrico Fini, Moin Nabi, Elisa Ricci, Karteek Alahari:
A soft nearest-neighbor framework for continual semi-supervised learning. ICCV 2023: 11834-11843 - [c51]Thomas De Min, Massimiliano Mancini, Karteek Alahari, Xavier Alameda-Pineda, Elisa Ricci:
On the Effectiveness of LayerNorm Tuning for Continual Learning in Vision Transformers. ICCV (Workshops) 2023: 3577-3586 - [c50]Mert Bülent Sariyildiz, Yannis Kalantidis, Karteek Alahari, Diane Larlus:
No Reason for No Supervision: Improved Generalization in Supervised Models. ICLR 2023 - [i44]Lina Mezghani, Sainbayar Sukhbaatar, Piotr Bojanowski, Alessandro Lazaric, Karteek Alahari:
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping. CoRR abs/2301.02099 (2023) - [i43]Lina Mezghani, Piotr Bojanowski, Karteek Alahari, Sainbayar Sukhbaatar:
Think Before You Act: Unified Policy for Interleaving Language Reasoning with Actions. CoRR abs/2304.11063 (2023) - [i42]Enrico Fini, Pietro Astolfi, Karteek Alahari, Xavier Alameda-Pineda, Julien Mairal, Moin Nabi, Elisa Ricci:
Semi-supervised learning made simple with self-supervised clustering. CoRR abs/2306.07483 (2023) - [i41]Ekaterina Iakovleva, Karteek Alahari, Jakob Verbeek:
Multi-Domain Learning with Modulation Adapters. CoRR abs/2307.08528 (2023) - [i40]Tariq Berrada, Camille Couprie, Karteek Alahari, Jakob Verbeek:
Guided Distillation for Semi-Supervised Instance Segmentation. CoRR abs/2308.02668 (2023) - [i39]Thomas De Min, Massimiliano Mancini, Karteek Alahari, Xavier Alameda-Pineda, Elisa Ricci:
On the Effectiveness of LayerNorm Tuning for Continual Learning in Vision Transformers. CoRR abs/2308.09610 (2023) - [i38]Avijit Dasgupta, C. V. Jawahar, Karteek Alahari:
Overcoming Label Noise for Source-free Unsupervised Video Domain Adaptation. CoRR abs/2311.18572 (2023) - [i37]Tariq Berrada, Jakob Verbeek, Camille Couprie, Karteek Alahari:
Unlocking Pre-trained Image Backbones for Semantic Image Synthesis. CoRR abs/2312.13314 (2023) - 2022
- [c49]Lina Mezghani, Sainbayar Sukhbaatar, Piotr Bojanowski, Alessandro Lazaric, Karteek Alahari:
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping. CoRL 2022: 1401-1410 - [c48]Florent Bartoccioni, Eloi Zablocki, Andrei Bursuc, Patrick Pérez, Matthieu Cord, Karteek Alahari:
LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation. CoRL 2022: 1663-1672 - [c47]Enrico Fini, Victor G. Turrisi da Costa, Xavier Alameda-Pineda, Elisa Ricci, Karteek Alahari, Julien Mairal:
Self-Supervised Models are Continual Learners. CVPR 2022: 9611-9620 - [c46]Avijit Dasgupta, C. V. Jawahar, Karteek Alahari:
Overcoming Label Noise for Source-free Unsupervised Video Domain Adaptation. ICVGIP 2022: 20:1-20:9 - [c45]Valentin Gabeur, Paul Hongsuck Seo, Arsha Nagrani, Chen Sun, Karteek Alahari, Cordelia Schmid:
AVATAR: Unconstrained Audiovisual Speech Recognition. INTERSPEECH 2022: 2818-2822 - [c44]Lina Mezghani, Sainbayar Sukhbaatar, Thibaut Lavril, Oleksandr Maksymets, Dhruv Batra, Piotr Bojanowski, Karteek Alahari:
Memory-Augmented Reinforcement Learning for Image-Goal Navigation. IROS 2022: 3316-3323 - [c43]Valentin Gabeur, Arsha Nagrani, Chen Sun, Karteek Alahari, Cordelia Schmid:
Masking Modalities for Cross-modal Video Retrieval. WACV 2022: 2111-2120 - [i36]Pia Bideau, Erik G. Learned-Miller, Cordelia Schmid, Karteek Alahari:
The Right Spin: Learning Object Motion from Rotation-Compensated Flow Fields. CoRR abs/2203.00115 (2022) - [i35]Valentin Gabeur, Paul Hongsuck Seo, Arsha Nagrani, Chen Sun, Karteek Alahari, Cordelia Schmid:
AVATAR: Unconstrained Audiovisual Speech Recognition. CoRR abs/2206.07684 (2022) - [i34]Lina Mezghani, Sainbayar Sukhbaatar, Piotr Bojanowski, Karteek Alahari:
Walk the Random Walk: Learning to Discover and Reach Goals Without Supervision. CoRR abs/2206.11733 (2022) - [i33]Florent Bartoccioni, Éloi Zablocki, Andrei Bursuc, Patrick Pérez, Matthieu Cord, Karteek Alahari:
LaRa: Latents and Rays for Multi-Camera Bird's-Eye-View Semantic Segmentation. CoRR abs/2206.13294 (2022) - [i32]Mert Bülent Sariyildiz, Yannis Kalantidis, Karteek Alahari, Diane Larlus:
Improving the Generalization of Supervised Models. CoRR abs/2206.15369 (2022) - [i31]Hubert Leterme, Kevin Polisano, Valérie Perrier, Karteek Alahari:
On the Shift Invariance of Max Pooling Feature Maps in Convolutional Neural Networks. CoRR abs/2209.11740 (2022) - [i30]Jules Bourcier, Gohar Dashyan, Jocelyn Chanussot, Karteek Alahari:
Evaluating the Label Efficiency of Contrastive Self-Supervised Learning for Multi-Resolution Satellite Imagery. CoRR abs/2210.06786 (2022) - [i29]Jules Bourcier, Thomas Floquet, Gohar Dashyan, Tugdual Ceillier, Karteek Alahari, Jocelyn Chanussot:
Self-Supervised Pretraining on Satellite Imagery: a Case Study on Label-Efficient Vehicle Detection. CoRR abs/2210.11815 (2022) - [i28]Heeseung Kwon, Francisco M. Castro, Manuel J. Marín-Jiménez, Nicolás Guil, Karteek Alahari:
Lightweight Structure-Aware Attention for Visual Understanding. CoRR abs/2211.16289 (2022) - [i27]Hubert Leterme, Kevin Polisano, Valérie Perrier, Karteek Alahari:
From CNNs to Shift-Invariant Twin Wavelet Models. CoRR abs/2212.00394 (2022) - [i26]Zhiqi Kang, Enrico Fini, Moin Nabi, Elisa Ricci, Karteek Alahari:
A soft nearest-neighbor framework for continual semi-supervised learning. CoRR abs/2212.05102 (2022) - [i25]Mert Bülent Sariyildiz, Karteek Alahari, Diane Larlus, Yannis Kalantidis:
Fake it till you make it: Learning(s) from a synthetic ImageNet clone. CoRR abs/2212.08420 (2022) - 2021
- [c42]Mert Bülent Sariyildiz, Yannis Kalantidis, Diane Larlus, Karteek Alahari:
Concept Generalization in Visual Representation Learning. ICCV 2021: 9609-9619 - [c41]D. Khuê Lê-Huu, Karteek Alahari:
Regularized Frank-Wolfe for Dense CRFs: Generalizing Mean Field and Beyond. NeurIPS 2021: 1453-1467 - [i24]Lina Mezghani, Sainbayar Sukhbaatar, Thibaut Lavril, Oleksandr Maksymets, Dhruv Batra, Piotr Bojanowski, Karteek Alahari:
Memory-Augmented Reinforcement Learning for Image-Goal Navigation. CoRR abs/2101.05181 (2021) - [i23]Florent Bartoccioni, Éloi Zablocki, Patrick Pérez, Matthieu Cord, Karteek Alahari:
LiDARTouch: Monocular metric depth estimation with a few-beam LiDAR. CoRR abs/2109.03569 (2021) - [i22]D. Khuê Lê-Huu, Karteek Alahari:
Regularized Frank-Wolfe for Dense CRFs: Generalizing Mean Field and Beyond. CoRR abs/2110.14759 (2021) - [i21]Valentin Gabeur, Arsha Nagrani, Chen Sun, Karteek Alahari, Cordelia Schmid:
Masking Modalities for Cross-modal Video Retrieval. CoRR abs/2111.01300 (2021) - [i20]Enrico Fini, Victor G. Turrisi da Costa, Xavier Alameda-Pineda, Elisa Ricci, Karteek Alahari, Julien Mairal:
Self-Supervised Models are Continual Learners. CoRR abs/2112.04215 (2021) - 2020
- [c40]Valentin Gabeur, Chen Sun, Karteek Alahari, Cordelia Schmid:
Multi-modal Transformer for Video Retrieval. ECCV (4) 2020: 214-229 - [c39]Ekaterina Iakovleva, Jakob Verbeek, Karteek Alahari:
Meta-Learning with Shared Amortized Variational Inference. ICML 2020: 4572-4582 - [c38]Avijit Dasgupta, C. V. Jawahar, Karteek Alahari:
Context Aware Group Activity Recognition. ICPR 2020: 10098-10105 - [i19]Gunnar A. Sigurdsson, Abhinav Gupta, Cordelia Schmid, Karteek Alahari:
Beyond the Camera: Neural Networks in World Coordinates. CoRR abs/2003.05614 (2020) - [i18]Valentin Gabeur, Chen Sun, Karteek Alahari, Cordelia Schmid:
Multi-modal Transformer for Video Retrieval. CoRR abs/2007.10639 (2020) - [i17]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) - [i16]Ekaterina Iakovleva, Jakob Verbeek, Karteek Alahari:
Meta-Learning with Shared Amortized Variational Inference. CoRR abs/2008.12037 (2020) - [i15]Mert Bülent Sariyildiz, Yannis Kalantidis, Diane Larlus, Karteek Alahari:
Concept Generalization in Visual Representation Learning. CoRR abs/2012.05649 (2020)
2010 – 2019
- 2019
- [b1]Karteek Alahari:
Human, Motion and Other Priors for Partially-Supervised Recognition. (Diverses classes d'a priori pour la reconnaissance partiellement supervisée). Grenoble Alpes University, France, 2019 - [j7]Pavel Tokmakov, Cordelia Schmid, Karteek Alahari:
Learning to Segment Moving Objects. Int. J. Comput. Vis. 127(3): 282-301 (2019) - [c37]Vladyslav Sydorov, Karteek Alahari, Cordelia Schmid:
Focused Attention for Action Recognition. BMVC 2019: 172 - [c36]Nieves Crasto, Philippe Weinzaepfel, Karteek Alahari, Cordelia Schmid:
MARS: Motion-Augmented RGB Stream for Action Recognition. CVPR 2019: 7882-7891 - [c35]Thomas Lucas, Konstantin Shmelkov, Karteek Alahari, Cordelia Schmid, Jakob Verbeek:
Adaptive Density Estimation for Generative Models. NeurIPS 2019: 11993-12003 - [i14]Konstantin Shmelkov, Thomas Lucas, Karteek Alahari, Cordelia Schmid, Jakob Verbeek:
Coverage and Quality Driven Training of Generative Image Models. CoRR abs/1901.01091 (2019) - 2018
- [j6]Nicolas Chesneau, Karteek Alahari, Cordelia Schmid:
Learning From Web Videos for Event Classification. IEEE Trans. Circuits Syst. Video Technol. 28(10): 3019-3029 (2018) - [c34]Gunnar A. Sigurdsson, Abhinav Gupta, Cordelia Schmid, Ali Farhadi, Karteek Alahari:
Actor and Observer: Joint Modeling of First and Third-Person Videos. CVPR 2018: 7396-7404 - [c33]Konstantin Shmelkov, Cordelia Schmid, Karteek Alahari:
How Good Is My GAN? ECCV (2) 2018: 218-234 - [c32]Francisco M. Castro, Manuel J. Marín-Jiménez, Nicolás Guil, Cordelia Schmid, Karteek Alahari:
End-to-End Incremental Learning. ECCV (12) 2018: 241-257 - [c31]Karteek Alahari:
Actor and Observer: Joint Modeling of First and Third-Person Videos. CoVieW@MM 2018: 3 - [i13]Gunnar A. Sigurdsson, Abhinav Gupta, Cordelia Schmid, Ali Farhadi, Karteek Alahari:
Charades-Ego: A Large-Scale Dataset of Paired Third and First Person Videos. CoRR abs/1804.09626 (2018) - [i12]Gunnar A. Sigurdsson, Abhinav Gupta, Cordelia Schmid, Ali Farhadi, Karteek Alahari:
Actor and Observer: Joint Modeling of First and Third-Person Videos. CoRR abs/1804.09627 (2018) - [i11]Konstantin Shmelkov, Cordelia Schmid, Karteek Alahari:
How good is my GAN? CoRR abs/1807.09499 (2018) - [i10]Francisco M. Castro, Manuel J. Marín-Jiménez, Nicolás Guil, Cordelia Schmid, Karteek Alahari:
End-to-End Incremental Learning. CoRR abs/1807.09536 (2018) - 2017
- [j5]Anand Mishra, Karteek Alahari, C. V. Jawahar:
Unsupervised refinement of color and stroke features for text binarization. Int. J. Document Anal. Recognit. 20(2): 105-121 (2017) - [c30]Nicolas Chesneau, Grégory Rogez, Karteek Alahari, Cordelia Schmid:
Detecting Parts for Action Localization. BMVC 2017 - [c29]Pavel Tokmakov, Karteek Alahari, Cordelia Schmid:
Learning Motion Patterns in Videos. CVPR 2017: 531-539 - [c28]Konstantin Shmelkov, Cordelia Schmid, Karteek Alahari:
Incremental Learning of Object Detectors without Catastrophic Forgetting. ICCV 2017: 3420-3429 - [c27]Pavel Tokmakov, Karteek Alahari, Cordelia Schmid:
Learning Video Object Segmentation with Visual Memory. ICCV 2017: 4491-4500 - [i9]Pavel Tokmakov, Karteek Alahari, Cordelia Schmid:
Learning Video Object Segmentation with Visual Memory. CoRR abs/1704.05737 (2017) - [i8]Nicolas Chesneau, Grégory Rogez, Karteek Alahari, Cordelia Schmid:
Detecting Parts for Action Localization. CoRR abs/1707.06005 (2017) - [i7]Konstantin Shmelkov, Cordelia Schmid, Karteek Alahari:
Incremental Learning of Object Detectors without Catastrophic Forgetting. CoRR abs/1708.06977 (2017) - [i6]Pavel Tokmakov, Cordelia Schmid, Karteek Alahari:
Learning to Segment Moving Objects. CoRR abs/1712.01127 (2017) - 2016
- [j4]Anand Mishra, Karteek Alahari, C. V. Jawahar:
Enhancing energy minimization framework for scene text recognition with top-down cues. Comput. Vis. Image Underst. 145: 30-42 (2016) - [c26]Pavel Tokmakov, Karteek Alahari, Cordelia Schmid:
Weakly-Supervised Semantic Segmentation Using Motion Cues. ECCV (4) 2016: 388-404 - [i5]Anand Mishra, Karteek Alahari, C. V. Jawahar:
Enhancing Energy Minimization Framework for Scene Text Recognition with Top-Down Cues. CoRR abs/1601.03128 (2016) - [i4]Pavel Tokmakov, Karteek Alahari, Cordelia Schmid:
Weakly-Supervised Semantic Segmentation using Motion Cues. CoRR abs/1603.07188 (2016) - [i3]Pavel Tokmakov, Karteek Alahari, Cordelia Schmid:
Learning Motion Patterns in Videos. CoRR abs/1612.07217 (2016) - 2015
- [j3]Karteek Alahari, Dhruv Batra, Srikumar Ramalingam, Nikos Paragios, Richard S. Zemel:
Guest Editors' Introduction: Special Section on Higher Order Graphical Models in Computer Vision. IEEE Trans. Pattern Anal. Mach. Intell. 37(7): 1321-1322 (2015) - [j2]Guillaume Seguin, Karteek Alahari, Josef Sivic, Ivan Laptev:
Pose Estimation and Segmentation of Multiple People in Stereoscopic Movies. IEEE Trans. Pattern Anal. Mach. Intell. 37(8): 1643-1655 (2015) - [c25]Yang Hua, Karteek Alahari, Cordelia Schmid:
Online Object Tracking with Proposal Selection. ICCV 2015: 3092-3100 - [i2]Yang Hua, Karteek Alahari, Cordelia Schmid:
Online Object Tracking with Proposal Selection. CoRR abs/1509.09114 (2015) - 2014
- [c24]Udit Roy, Anand Mishra, Karteek Alahari, C. V. Jawahar:
Scene Text Recognition and Retrieval for Large Lexicons. ACCV (1) 2014: 494-508 - [c23]Anoop Cherian, Julien Mairal, Karteek Alahari, Cordelia Schmid:
Mixing Body-Part Sequences for Human Pose Estimation. CVPR 2014: 2361-2368 - [c22]Yang Hua, Karteek Alahari, Cordelia Schmid:
Occlusion and Motion Reasoning for Long-Term Tracking. ECCV (6) 2014: 172-187 - [c21]Matthijs Douze, Dan Oneata, Mattis Paulin, Clément Leray, Nicolas Chesneau, Danila Potapov, Jakob Verbeek, Karteek Alahari, Zaïd Harchaoui, Lori Lamel, Jean-Luc Gauvain, Christoph Schmidt, Cordelia Schmid:
The INRIA-LIM-VocR and AXES submissions to TrecVid 2014 Multimedia Event Detection. TRECVID 2014 - 2013
- [c20]Florent Couzinie-Devy, Jian Sun, Karteek Alahari, Jean Ponce:
Learning to Estimate and Remove Non-uniform Image Blur. CVPR 2013: 1075-1082 - [c19]Minsu Cho, Karteek Alahari, Jean Ponce:
Learning Graphs to Match. ICCV 2013: 25-32 - [c18]Ankit Gandhi, Karteek Alahari, C. V. Jawahar:
Decomposing Bag of Words Histograms. ICCV 2013: 305-312 - [c17]Karteek Alahari, Guillaume Seguin, Josef Sivic, Ivan Laptev:
Pose Estimation and Segmentation of People in 3D Movies. ICCV 2013: 2112-2119 - [c16]Anand Mishra, Karteek Alahari, C. V. Jawahar:
Image Retrieval Using Textual Cues. ICCV 2013: 3040-3047 - [c15]Vibhor Goel, Anand Mishra, Karteek Alahari, C. V. Jawahar:
Whole is Greater than Sum of Parts: Recognizing Scene Text Words. ICDAR 2013: 398-402 - 2012
- [c14]Anand Mishra, Karteek Alahari, C. V. Jawahar:
Scene Text Recognition using Higher Order Language Priors. BMVC 2012: 1-11 - [c13]Anand Mishra, Karteek Alahari, C. V. Jawahar:
Top-down and bottom-up cues for scene text recognition. CVPR 2012: 2687-2694 - 2011
- [c12]José Lezama, Karteek Alahari, Josef Sivic, Ivan Laptev:
Track to the future: Spatio-temporal video segmentation with long-range motion cues. CVPR 2011: 3369-3376 - [c11]Anand Mishra, Karteek Alahari, C. V. Jawahar:
An MRF Model for Binarization of Natural Scene Text. ICDAR 2011: 11-16 - [c10]Mark Schmidt, Karteek Alahari:
Generalized Fast Approximate Energy Minimization via Graph Cuts: a-Expansion b-Shrink Moves. UAI 2011: 653-660 - [i1]Mark Schmidt, Karteek Alahari:
Generalized Fast Approximate Energy Minimization via Graph Cuts: Alpha-Expansion Beta-Shrink Moves. CoRR abs/1108.5710 (2011) - 2010
- [j1]Karteek Alahari, Pushmeet Kohli, Philip H. S. Torr:
Dynamic Hybrid Algorithms for MAP Inference in Discrete MRFs. IEEE Trans. Pattern Anal. Mach. Intell. 32(10): 1846-1857 (2010) - [c9]Karteek Alahari, Chris Russell, Philip H. S. Torr:
Efficient piecewise learning for conditional random fields. CVPR 2010: 895-901 - [c8]Lubor Ladicky, Paul Sturgess, Karteek Alahari, Chris Russell, Philip H. S. Torr:
What, Where and How Many? Combining Object Detectors and CRFs. ECCV (4) 2010: 424-437
2000 – 2009
- 2009
- [c7]Paul Sturgess, Karteek Alahari, Lubor Ladicky, Philip H. S. Torr:
Combining Appearance and Structure from Motion Features for Road Scene Understanding. BMVC 2009: 1-11 - 2008
- [c6]Karteek Alahari, Pushmeet Kohli, Philip H. S. Torr:
Reduce, reuse & recycle: Efficiently solving multi-label MRFs. CVPR 2008 - [c5]Srikumar Ramalingam, Pushmeet Kohli, Karteek Alahari, Philip H. S. Torr:
Exact inference in multi-label CRFs with higher order cliques. CVPR 2008 - 2006
- [c4]Karteek Alahari, Satya Lahari Putrevu, C. V. Jawahar:
Learning Mixtures of Offline and Online features for Handwritten Stroke Recognition. ICPR (3) 2006: 379-382 - [c3]Karteek Alahari, C. V. Jawahar:
Dynamic Events as Mixtures of Spatial and Temporal Features. ICVGIP 2006: 540-551 - [c2]Karteek Alahari, C. V. Jawahar:
Discriminative Actions for Recognising Events. ICVGIP 2006: 552-563 - 2005
- [c1]Karteek Alahari, Satya Lahari Putrevu, C. V. Jawahar:
Discriminant Substrokes for Online Handwriting Recognition. ICDAR 2005: 499-505
Coauthor Index
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