b'Anurag Arnab'

research

∙ 08/21/2023

UnLoc: A Unified Framework for Video Localization Tasks

While large-scale image-text pretrained models such as CLIP have been us...

0 Shen Yan, et al. ∙

research

∙ 07/17/2023

Does Visual Pretraining Help End-to-End Reasoning?

We aim to investigate whether end-to-end learning of visual reasoning ca...

0 Chen Sun, et al. ∙

research

∙ 06/20/2023

Dense Video Object Captioning from Disjoint Supervision

We propose a new task and model for dense video object captioning – dete...

0 Xingyi Zhou, et al. ∙

research

∙ 06/20/2023

How can objects help action recognition?

Current state-of-the-art video models process a video clip as a long seq...

0 Xingyi Zhou, et al. ∙

research

∙ 06/07/2023

Optimizing ViViT Training: Time and Memory Reduction for Action Recognition

In this paper, we address the challenges posed by the substantial traini...

0 Shreyank N Gowda, et al. ∙

research

∙ 04/24/2023

End-to-End Spatio-Temporal Action Localisation with Video Transformers

The most performant spatio-temporal action localisation models use exter...

0 Alexey Gritsenko, et al. ∙

research

∙ 04/05/2023

VicTR: Video-conditioned Text Representations for Activity Recognition

Vision-Language models have shown strong performance in the image-domain...

5 Kumara Kahatapitiya, et al. ∙

research

∙ 03/21/2023

CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation

Existing works on open-vocabulary semantic segmentation have utilized la...

0 Seokju Cho, et al. ∙

research

∙ 12/09/2022

Audiovisual Masked Autoencoders

Can we leverage the audiovisual information already present in video to ...

0 Mariana-Iuliana Georgescu, et al. ∙

research

∙ 11/16/2022

Token Turing Machines

We propose Token Turing Machines (TTM), a sequential, autoregressive Tra...

0 Michael S. Ryoo, et al. ∙

research

∙ 09/20/2022

Dynamic Graph Message Passing Networks for Visual Recognition

Modelling long-range dependencies is critical for scene understanding ta...

17 Li Zhang, et al. ∙

research

∙ 07/08/2022

Beyond Transfer Learning: Co-finetuning for Action Localisation

Transfer learning is the predominant paradigm for training deep networks...

9 Anurag Arnab, et al. ∙

research

∙ 06/20/2022

M M Mix: A Multimodal Multiview Transformer Ensemble

This report describes the approach behind our winning solution to the 20...

2 Xuehan Xiong, et al. ∙

research

∙ 02/04/2022

Learning with Neighbor Consistency for Noisy Labels

Recent advances in deep learning have relied on large, labelled datasets...

4 Ahmet Iscen, et al. ∙

research

∙ 01/20/2022

End-to-end Generative Pretraining for Multimodal Video Captioning

Recent video and language pretraining frameworks lack the ability to gen...

7 Paul Hongsuck Seo, et al. ∙

research

∙ 11/25/2021

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

Can we train a single transformer model capable of processing multiple m...

5 Valerii Likhosherstov, et al. ∙

research

∙ 10/25/2021

The Efficiency Misnomer

Model efficiency is a critical aspect of developing and deploying machin...

5 Mostafa Dehghani, et al. ∙

research

∙ 10/18/2021

SCENIC: A JAX Library for Computer Vision Research and Beyond

Scenic is an open-source JAX library with a focus on Transformer-based m...

31 Mostafa Dehghani, et al. ∙

research

∙ 09/27/2021

Compressive Visual Representations

Learning effective visual representations that generalize well without h...

6 Kuang-Huei Lee, et al. ∙

research

∙ 06/30/2021

Attention Bottlenecks for Multimodal Fusion

Humans perceive the world by concurrently processing and fusing high-dim...

24 Arsha Nagrani, et al. ∙

research

∙ 06/21/2021

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

In this paper, we introduce a novel visual representation learning which...

0 Michael S. Ryoo, et al. ∙

research

∙ 03/29/2021

ViViT: A Video Vision Transformer

We present pure-transformer based models for video classification, drawi...

25 Anurag Arnab, et al. ∙

research

∙ 03/29/2021

Unified Graph Structured Models for Video Understanding

Accurate video understanding involves reasoning about the relationships ...

9 Anurag Arnab, et al. ∙

research

∙ 07/21/2020

Uncertainty-Aware Weakly Supervised Action Detection from Untrimmed Videos

Despite the recent advances in video classification, progress in spatio-...

5 Anurag Arnab, et al. ∙

research

∙ 09/13/2019

Dual Graph Convolutional Network for Semantic Segmentation

Exploiting long-range contextual information is key for pixel-wise predi...

12 Li Zhang, et al. ∙

research

∙ 08/19/2019

Dynamic Graph Message Passing Networks

Modelling long-range dependencies is critical for complex scene understa...

1 Li Zhang, et al. ∙

research

∙ 05/10/2019

Exploiting temporal context for 3D human pose estimation in the wild

We present a bundle-adjustment-based algorithm for recovering accurate 3...

8 Anurag Arnab, et al. ∙

research

∙ 08/10/2018

Weakly- and Semi-Supervised Panoptic Segmentation

We present a weakly supervised model that jointly performs both semantic...

0 Qizhu Li, et al. ∙

research

∙ 11/27/2017

On the Robustness of Semantic Segmentation Models to Adversarial Attacks

Deep Neural Networks (DNNs) have been demonstrated to perform exceptiona...

0 Anurag Arnab, et al. ∙

research

∙ 09/11/2017

Holistic, Instance-Level Human Parsing

Object parsing -- the task of decomposing an object into its semantic pa...

0 Qizhu Li, et al. ∙

research

∙ 04/07/2017

Pixelwise Instance Segmentation with a Dynamically Instantiated Network

Semantic segmentation and object detection research have recently achiev...

0 Anurag Arnab, et al. ∙

research

∙ 01/24/2017

Learning Arbitrary Pairwise Potentials in CRFs for Semantic Segmentation

Are we using the right potential functions in the Conditional Random Fie...

0 Måns Larsson, et al. ∙

research

∙ 09/08/2016

Bottom-up Instance Segmentation using Deep Higher-Order CRFs

Traditional Scene Understanding problems such as Object Detection and Se...

0 Anurag Arnab, et al. ∙

research

∙ 01/10/2016

Joint Object-Material Category Segmentation from Audio-Visual Cues

It is not always possible to recognise objects and infer material proper...

0 Anurag Arnab, et al. ∙

research

∙ 10/13/2015

SemanticPaint: A Framework for the Interactive Segmentation of 3D Scenes

We present an open-source, real-time implementation of SemanticPaint, a ...

0 Stuart Golodetz, et al. ∙

Anurag Arnab

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