Avinash Ravichandran

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning Expressive Prompting With Residuals for Vision Transformers.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

ComplETR: Reducing the cost of annotations for object detection in dense scenes with vision transformers.

[BibT_eX]

[DOI]

Achin Jain

Kibok Lee

CoRR, 2022

Semi-supervised Vision Transformers at Scale.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DIVA: Dataset Derivative of a Learning Task.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark.

[BibT_eX]

[DOI]

Onkar Dabeer

Proceedings of the Computer Vision - ECCV 2022, 2022

X-DETR: A Versatile Architecture for Instance-wise Vision-Language Tasks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Class-Incremental Learning with Strong Pre-trained Models.

[BibT_eX]

[DOI]

Tz-Ying Wu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Task Adaptive Parameter Sharing for Multi-Task Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Representation Consolidation for Training Expert Students.

[BibT_eX]

[DOI]

CoRR, 2021

A linearized framework and a new benchmark for model selection for fine-tuning.

[BibT_eX]

[DOI]

CoRR, 2021

Revisiting Contrastive Learning for Few-Shot Classification.

[BibT_eX]

[DOI]

CoRR, 2021

Uniform Sampling over Episode Difficulty.

[BibT_eX]

[DOI]

Sébastien M. R. Arnold

Guneet S. Dhillon

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Estimating informativeness of samples with Smooth Unique Information.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Mixed-Privacy Forgetting in Deep Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Exponential Moving Average Normalization for Self-Supervised and Semi-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

LQF: Linear Quadratic Fine-Tuning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Continual Universal Object Detection.

[BibT_eX]

[DOI]

CoRR, 2020

Incremental Learning for Metric-Based Meta-Learners.

[BibT_eX]

[DOI]

CoRR, 2020

Predicting Training Time Without Training.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Rethinking the Hyperparameters for Fine-tuning.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

A Baseline for Few-Shot Image Classification.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

Incremental Few-Shot Meta-learning via Indirect Discriminant Alignment.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Unbiased Evaluation of Deep Metric Learning Algorithms.

[BibT_eX]

[DOI]

István Fehérvári

Srikar Appalaraju

CoRR, 2019

Few-Shot Learning With Embedded Class Models and Shot-Free Meta Training.

[BibT_eX]

[DOI]

Rahul Bhotika

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Task2Vec: Task Embedding for Meta-Learning.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Meta-Learning With Differentiable Convex Optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2014

Active Frame, Location, and Detector Selection for Automated and Manual Video Annotation.

[BibT_eX]

[DOI]

Vasiliy Karasev

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Categorizing Dynamic Textures Using a Bag of Dynamical Systems.

[BibT_eX]

[DOI]

Rizwan Chaudhry

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Semantic Video Segmentation from Occlusion Relations within a Convex Optimization Framework.

[BibT_eX]

[DOI]

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2013

2012

SuperFloxels: A Mid-level Representation for Video Sequences.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

Long-Range Spatio-Temporal Modeling of Video with Application to Fire Detection.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2012, 2012

Group action induced distances for averaging and clustering Linear Dynamical Systems with applications to the analysis of dynamic scenes.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Image Priors for Image Deblurring with Uncertain Blur.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference, 2012

2011

Video Registration Using Dynamic Textures.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2011

A closed form solution to robust subspace estimation and clustering.

[BibT_eX]

[DOI]

Paolo Favaro

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

A Unified Approach to Segmentation and Categorization of Dynamic Textures.

[BibT_eX]

[DOI]

Paolo Favaro

Proceedings of the Computer Vision - ACCV 2010, 2010

2009

View-invariant dynamic texture recognition using a bag of dynamical systems.

[BibT_eX]

[DOI]

Rizwan Chaudhry

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

Histograms of oriented optical flow and Binet-Cauchy kernels on nonlinear dynamical systems for the recognition of human actions.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2006

Segmenting a beating heart using polysegment and Spatial GPCA.

[BibT_eX]

[DOI]

Henry R. Halperin

Proceedings of the 2006 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2006

2005

Optical Flow Estimation and Segmentation of Multiple Moving Dynamic Textures.

[BibT_eX]

[DOI]