Senthil Purushwalkam

According to our database1, Senthil Purushwalkam authored at least 18 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
BootPIG: Bootstrapping Zero-shot Personalized Image Generation Capabilities in Pretrained Diffusion Models.
CoRR, 2024

2023
Diffusion Model Alignment Using Direct Preference Optimization.
CoRR, 2023

XGen-7B Technical Report.
CoRR, 2023

ConRad: Image Constrained Radiance Fields for 3D Generation from a Single Image.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning to Map Efficiently by Active Echolocation.
IROS, 2023

2022
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control.
Proceedings of the International Conference on Machine Learning, 2022

The Challenges of Continuous Self-Supervised Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Audio-Visual Floorplan Reconstruction.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

The Functional Correspondence Problem.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Aligning Videos in Space and Time.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Bounce and Learn: Modeling Scene Dynamics with Real-World Bounces.
Proceedings of the 7th International Conference on Learning Representations, 2019

Task-Driven Modular Networks for Zero-Shot Compositional Learning.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2016
Pose from Action: Unsupervised Learning of Pose Features based on Motion.
CoRR, 2016

Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks.
CoRR, 2015

2014
Combining the Best of Graphical Models and ConvNets for Semantic Segmentation.
CoRR, 2014

2013
Automatic Segmentation of Adipose Tissue from Thigh Magnetic Resonance Images.
Proceedings of the Image Analysis and Recognition - 10th International Conference, 2013


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