Stebėti
Dhruv Mahajan
Dhruv Mahajan
Distinguished Scientist, Llama, Meta AI
Patvirtintas el. paštas fb.com
Pavadinimas
Cituota
Cituota
Metai
Exploring the limits of weakly supervised pretraining
D Mahajan, R Girshick, V Ramanathan, K He, M Paluri, Y Li, A Bharambe, ...
Proceedings of the European conference on computer vision (ECCV), 181-196, 2018
16632018
The llama 3 herd of models
A Dubey, A Jauhri, A Pandey, A Kadian, A Al-Dahle, A Letman, A Mathur, ...
arXiv preprint arXiv:2407.21783, 2024
12612024
Billion-scale semi-supervised learning for image classification
IZ Yalniz, H Jégou, K Chen, M Paluri, D Mahajan
arXiv preprint arXiv:1905.00546, 2019
5252019
Scaling and benchmarking self-supervised visual representation learning
P Goyal, D Mahajan, A Gupta, I Misra
Proceedings of the ieee/cvf International Conference on computer vision …, 2019
4872019
Self-supervised learning by cross-modal audio-video clustering
H Alwassel, D Mahajan, B Korbar, L Torresani, B Ghanem, D Tran
Advances in Neural Information Processing Systems 33, 9758-9770, 2020
4842020
Large-scale weakly-supervised pre-training for video action recognition
D Ghadiyaram, D Tran, D Mahajan
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
3902019
From patches to pictures (PaQ-2-PiQ): Mapping the perceptual space of picture quality
Z Ying, H Niu, P Gupta, D Mahajan, D Ghadiyaram, A Bovik
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
3522020
Moving gradients: a path-based method for plausible image interpolation
D Mahajan, FC Huang, W Matusik, R Ramamoorthi, P Belhumeur
ACM Transactions on Graphics (TOG) 28 (3), 1-11, 2009
2502009
Cluster canonical correlation analysis
N Rasiwasia, D Mahajan, V Mahadevan, G Aggarwal
Artificial intelligence and statistics, 823-831, 2014
1902014
Compressive light transport sensing
P Peers, DK Mahajan, B Lamond, A Ghosh, W Matusik, R Ramamoorthi, ...
ACM Transactions on Graphics (ToG) 28 (1), 1-18, 2009
1882009
Gradient boosted decision trees for high dimensional sparse output
S Si, H Zhang, SS Keerthi, D Mahajan, IS Dhillon, CJ Hsieh
International conference on machine learning, 3182-3190, 2017
1682017
What makes a video a video: Analyzing temporal information in video understanding models and datasets
DA Huang, V Ramanathan, D Mahajan, L Torresani, M Paluri, L Fei-Fei, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
1662018
Clusterfit: Improving generalization of visual representations
X Yan, I Misra, A Gupta, D Ghadiyaram, D Mahajan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
1602020
Learning hierarchical similarity metrics
N Verma, D Mahajan, S Sellamanickam, V Nair
2012 IEEE conference on computer vision and pattern recognition, 2280-2287, 2012
1592012
First steps toward an electronic field guide for plants
G Agarwal, P Belhumeur, S Feiner, D Jacobs, WJ Kress, R Ramamoorthi, ...
Taxon 55 (3), 597-610, 2006
1422006
Don't judge an object by its context: Learning to overcome contextual bias
KK Singh, D Mahajan, K Grauman, YJ Lee, M Feiszli, D Ghadiyaram
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
1342020
Emu: Enhancing image generation models using photogenic needles in a haystack
X Dai, J Hou, CY Ma, S Tsai, J Wang, R Wang, P Zhang, S Vandenhende, ...
arXiv preprint arXiv:2309.15807, 2023
1302023
A first-order analysis of lighting, shading, and shadows
R Ramamoorthi, D Mahajan, P Belhumeur
ACM Transactions on Graphics (TOG) 26 (1), 2-es, 2007
1142007
A joint learning framework for attribute models and object descriptions
D Mahajan, S Sellamanickam, V Nair
2011 International Conference on Computer Vision, 1227-1234, 2011
1042011
Adaptive methods for real-world domain generalization
A Dubey, V Ramanathan, A Pentland, D Mahajan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
952021
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Straipsniai 1–20