Anurag Arnab

According to our database1, Anurag Arnab authored at least 38 papers between 2015 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2022
Beyond Transfer Learning: Co-finetuning for Action Localisation.
CoRR, 2022

M&M Mix: A Multimodal Multiview Transformer Ensemble.
CoRR, 2022

Simple Open-Vocabulary Object Detection with Vision Transformers.
CoRR, 2022

Learning with Neighbor Consistency for Noisy Labels.
CoRR, 2022

End-to-end Generative Pretraining for Multimodal Video Captioning.
CoRR, 2022

Multiview Transformers for Video Recognition.
CoRR, 2022

2021
PolyViT: Co-training Vision Transformers on Images, Videos and Audio.
CoRR, 2021

The Efficiency Misnomer.
CoRR, 2021

SCENIC: A JAX Library for Computer Vision Research and Beyond.
CoRR, 2021

TokenLearner: What Can 8 Learned Tokens Do for Images and Videos?
CoRR, 2021

TokenLearner: Adaptive Space-Time Tokenization for Videos.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Attention Bottlenecks for Multimodal Fusion.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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

Unified Graph Structured Models for Video Understanding.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

ViViT: A Video Vision Transformer.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Simplifying TugGraph using zipping algorithms.
Pattern Recognit., 2020

On the Robustness of Semantic Segmentation Models to Adversarial Attacks.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Meta-Learning Deep Visual Words for Fast Video Object Segmentation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Uncertainty-Aware Weakly Supervised Action Detection from Untrimmed Videos.
Proceedings of the Computer Vision - ECCV 2020, 2020

Dynamic Graph Message Passing Networks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Dynamic Depth Fusion and Transformation for Monocular 3D Object Detection.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019
Pixel-level scene understanding with deep structured models.
PhD thesis, 2019

Exploiting Temporal Context for 3D Human Pose Estimation in the Wild.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Dual Graph Convolutional Network for Semantic Segmentation.
Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018
Conditional Random Fields Meet Deep Neural Networks for Semantic Segmentation: Combining Probabilistic Graphical Models with Deep Learning for Structured Prediction.
IEEE Signal Process. Mag., 2018

Revisiting Deep Structured Models for Pixel-Level Labeling with Gradient-Based Inference.
SIAM J. Imaging Sci., 2018

Weakly- and Semi-supervised Panoptic Segmentation.
Proceedings of the Computer Vision - ECCV 2018, 2018

Deep Fully-Connected Part-Based Models for Human Pose Estimation.
Proceedings of The 10th Asian Conference on Machine Learning, 2018

2017
Learning Arbitrary Potentials in CRFs with Gradient Descent.
CoRR, 2017

A Projected Gradient Descent Method for CRF Inference Allowing End-to-End Training of Arbitrary Pairwise Potentials.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017

Pixelwise Instance Segmentation with a Dynamically Instantiated Network.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Holistic, Instance-level Human Parsing.
Proceedings of the British Machine Vision Conference 2017, 2017

2016
Higher Order Conditional Random Fields in Deep Neural Networks.
Proceedings of the Computer Vision - ECCV 2016, 2016

Bottom-up Instance Segmentation using Deep Higher-Order CRFs.
Proceedings of the British Machine Vision Conference 2016, 2016

2015
SemanticPaint: A Framework for the Interactive Segmentation of 3D Scenes.
CoRR, 2015

Higher Order Potentials in End-to-End Trainable Conditional Random Fields.
CoRR, 2015

SemanticPaint: interactive segmentation and learning of 3D worlds.
Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2015

Joint Object-Material Category Segmentation from Audio-Visual Cues.
Proceedings of the British Machine Vision Conference 2015, 2015


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