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Senthil Purushwalkam
Senthil Purushwalkam
Verified email at andrew.cmu.edu - Homepage
Title
Cited by
Cited by
Year
Why m heads are better than one: Training a diverse ensemble of deep networks
S Lee, S Purushwalkam, M Cogswell, D Crandall, D Batra
arXiv preprint arXiv:1511.06314, 2015
3142015
Demystifying contrastive self-supervised learning: Invariances, augmentations and dataset biases
S Purushwalkam, A Gupta
Advances in Neural Information Processing Systems 33, 3407-3418, 2020
2082020
Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles
S Lee, S Purushwalkam, M Cogswell, V Ranjan, D Crandall, D Batra
Advances In Neural Information Processing Systems, 2119-2127, 2016
1952016
Task-driven modular networks for zero-shot compositional learning
S Purushwalkam, M Nickel, A Gupta, MA Ranzato
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
1522019
The unsurprising effectiveness of pre-trained vision models for control
S Parisi, A Rajeswaran, S Purushwalkam, A Gupta
international conference on machine learning, 17359-17371, 2022
1382022
Applying machine learning to identify autistic adults using imitation: An exploratory study
B Li, A Sharma, J Meng, S Purushwalkam, E Gowen
PloS one 12 (8), e0182652, 2017
882017
Audio-visual floorplan reconstruction
S Purushwalkam, SVA Gari, VK Ithapu, C Schissler, P Robinson, A Gupta, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
432021
The challenges of continuous self-supervised learning
S Purushwalkam, P Morgado, A Gupta
European Conference on Computer Vision, 702-721, 2022
322022
Pose from action: Unsupervised learning of pose features based on motion
S Purushwalkam, A Gupta
arXiv preprint arXiv:1609.05420, 2016
282016
Aligning videos in space and time
S Purushwalkam, T Ye, S Gupta, A Gupta
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
242020
Bounce and learn: Modeling scene dynamics with real-world bounces
S Purushwalkam, A Gupta, DM Kaufman, B Russell
arXiv preprint arXiv:1904.06827, 2019
242019
Combining the best of graphical models and convnets for semantic segmentation
M Cogswell, X Lin, S Purushwalkam, D Batra
arXiv preprint arXiv:1412.4313, 2014
222014
Long sequence modeling with xgen: A 7b llm trained on 8k input sequence length
E Nijkamp, T Xie, H Hayashi, B Pang, C Xia, C Xing, J Vig, S Yavuz, ...
Salesforce AI Research Blog, 2023
132023
Diffusion model alignment using direct preference optimization
B Wallace, M Dang, R Rafailov, L Zhou, A Lou, S Purushwalkam, S Ermon, ...
arXiv preprint arXiv:2311.12908, 2023
102023
Xgen-7b technical report
E Nijkamp, T Xie, H Hayashi, B Pang, C Xia, C Xing, J Vig, S Yavuz, ...
arXiv preprint arXiv:2309.03450, 2023
72023
Automatic segmentation of adipose tissue from thigh magnetic resonance images
S Purushwalkam, B Li, Q Meng, J McPhee
Image Analysis and Recognition: 10th International Conference, ICIAR 2013 …, 2013
72013
The functional correspondence problem
Z Lai, S Purushwalkam, A Gupta
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
62021
Conrad: Image constrained radiance fields for 3d generation from a single image
S Purushwalkam, N Naik
Advances in Neural Information Processing Systems 36, 2024
42024
BootPIG: Bootstrapping Zero-shot Personalized Image Generation Capabilities in Pretrained Diffusion Models
S Purushwalkam, A Gokul, S Joty, N Naik
arXiv preprint arXiv:2401.13974, 2024
2024
Learning to Map Efficiently by Active Echolocation
X Hu, S Purushwalkam, D Harwath, K Grauman
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023
2023
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