Search Results for author: Basura Fernando

Found 47 papers, 9 papers with code

3D Equivariant Graph Implicit Functions

no code implementations31 Mar 2022 Yunlu Chen, Basura Fernando, Hakan Bilen, Matthias Nießner, Efstratios Gavves

In this work, we address two key limitations of such representations, in failing to capture local 3D geometric fine details, and to learn from and generalize to shapes with unseen 3D transformations.

LocFormer: Enabling Transformers to Perform Temporal Moment Localization on Long Untrimmed Videos With a Feature Sampling Approach

no code implementations19 Dec 2021 Cristian Rodriguez-Opazo, Edison Marrese-Taylor, Basura Fernando, Hiroya Takamura, Qi Wu

We propose LocFormer, a Transformer-based model for video grounding which operates at a constant memory footprint regardless of the video length, i. e. number of frames.

Inductive Bias Video Grounding

TDAM: Top-Down Attention Module for Contextually Guided Feature Selection in CNNs

no code implementations26 Nov 2021 Shantanu Jaiswal, Basura Fernando, Cheston Tan

Attention modules for Convolutional Neural Networks (CNNs) are an effective method to enhance performance on multiple computer-vision tasks.

feature selection Multi-Label Classification +2

Not All Relations are Equal: Mining Informative Labels for Scene Graph Generation

no code implementations CVPR 2022 Arushi Goel, Basura Fernando, Frank Keller, Hakan Bilen

Scene graph generation (SGG) aims to capture a wide variety of interactions between pairs of objects, which is essential for full scene understanding.

Graph Generation Informativeness +2

Action Forecasting with Feature-wise Self-Attention

no code implementations19 Jul 2021 Yan Bin Ng, Basura Fernando

A temporal recurrent encoder captures temporal information of input videos while a self-attention model is used to attend on relevant feature dimensions of the input space.

Anticipating human actions by correlating past with the future with Jaccard similarity measures

no code implementations CVPR 2021 Basura Fernando, Samitha Herath

We propose a framework for early action recognition and anticipation by correlating past features with the future using three novel similarity measures called Jaccard vector similarity, Jaccard cross-correlation and Jaccard Frobenius inner product over covariances.

Action Anticipation Action Recognition

A Log-likelihood Regularized KL Divergence for Video Prediction with A 3D Convolutional Variational Recurrent Network

no code implementations11 Dec 2020 Haziq Razali, Basura Fernando

In this paper, we introduce a new variational model that extends the recurrent network in two ways for the task of video frame prediction.

Video Prediction

FlowCaps: Optical Flow Estimation with Capsule Networks For Action Recognition

no code implementations8 Nov 2020 Vinoj Jayasundara, Debaditya Roy, Basura Fernando

Capsule networks (CapsNets) have recently shown promise to excel in most computer vision tasks, especially pertaining to scene understanding.

Action Recognition Optical Flow Estimation +1

DORi: Discovering Object Relationship for Moment Localization of a Natural-Language Query in Video

1 code implementation13 Oct 2020 Cristian Rodriguez-Opazo, Edison Marrese-Taylor, Basura Fernando, Hongdong Li, Stephen Gould

This paper studies the task of temporal moment localization in a long untrimmed video using natural language query.

Forecasting future action sequences with attention: a new approach to weakly supervised action forecasting

no code implementations10 Dec 2019 Yan Bin Ng, Basura Fernando

We extend our action sequence forecasting model to perform weakly supervised action forecasting on two challenging datasets, the Breakfast and the 50Salads.

Machine Translation

Injecting Prior Knowledge into Image Caption Generation

no code implementations22 Nov 2019 Arushi Goel, Basura Fernando, Thanh-Son Nguyen, Hakan Bilen

Automatically generating natural language descriptions from an image is a challenging problem in artificial intelligence that requires a good understanding of the visual and textual signals and the correlations between them.

Image Captioning

Action Anticipation with RBF Kernelized Feature Mapping RNN

no code implementations ECCV 2018 Yuge Shi, Basura Fernando, Richard Hartley

We introduce a novel Recurrent Neural Network-based algorithm for future video feature generation and action anticipation called feature mapping RNN.

Action Anticipation

Human Action Sequence Classification

no code implementations7 Oct 2019 Yan Bin Ng, Basura Fernando

Furthermore, we use our model that is trained to output action sequences to solve downstream tasks; such as video captioning and action localization.

Action Classification Action Segmentation +5

Deep Multiple Instance Learning with Gaussian Weighting

no code implementations25 Sep 2019 Basura Fernando, Hakan Bilen

The instance representation is shared by both instance classification and weighting streams.

Classification Multiple Instance Learning +1

Weakly Supervised Gaussian Networks for Action Detection

no code implementations16 Apr 2019 Basura Fernando, Cheston Tan Yin Chet, Hakan Bilen

Detecting temporal extents of human actions in videos is a challenging computer vision problem that requires detailed manual supervision including frame-level labels.

Action Detection Temporal Action Localization

Face Super-resolution Guided by Facial Component Heatmaps

no code implementations ECCV 2018 Xin Yu, Basura Fernando, Bernard Ghanem, Fatih Porikli, Richard Hartley

State-of-the-art face super-resolution methods use deep convolutional neural networks to learn a mapping between low-resolution (LR) facial patterns and their corresponding high-resolution (HR) counterparts by exploring local information.

Face Hallucination Super-Resolution

Action Anticipation By Predicting Future Dynamic Images

no code implementations1 Aug 2018 Cristian Rodriguez, Basura Fernando, Hongdong Li

Human action-anticipation methods predict what is the future action by observing only a few portion of an action in progress.

Action Anticipation Autonomous Driving +1

Super-Resolving Very Low-Resolution Face Images With Supplementary Attributes

no code implementations CVPR 2018 Xin Yu, Basura Fernando, Richard Hartley, Fatih Porikli

An LR input contains low-frequency facial components of its HR version while its residual face image defined as the difference between the HR ground-truth and interpolated LR images contains the missing high-frequency facial details.

Face Hallucination Super-Resolution

Neural Algebra of Classifiers

no code implementations26 Jan 2018 Rodrigo Santa Cruz, Basura Fernando, Anoop Cherian, Stephen Gould

In this paper, we build on the compositionality principle and develop an "algebra" to compose classifiers for complex visual concepts.

Discriminatively Learned Hierarchical Rank Pooling Networks

1 code implementation30 May 2017 Basura Fernando, Stephen Gould

First, we present "discriminative rank pooling" in which the shared weights of our video representation and the parameters of the action classifiers are estimated jointly for a given training dataset of labelled vector sequences using a bilevel optimization formulation of the learning problem.

Activity Recognition Bilevel Optimization +1

DeepPermNet: Visual Permutation Learning

no code implementations CVPR 2017 Rodrigo Santa Cruz, Basura Fernando, Anoop Cherian, Stephen Gould

Unrolling these iterations in a Sinkhorn network layer, we propose DeepPermNet, an end-to-end CNN model for this task.

Representation Learning

Generalized Rank Pooling for Activity Recognition

no code implementations CVPR 2017 Anoop Cherian, Basura Fernando, Mehrtash Harandi, Stephen Gould

Most popular deep models for action recognition split video sequences into short sub-sequences consisting of a few frames; frame-based features are then pooled for recognizing the activity.

Action Recognition Riemannian optimization

Encouraging LSTMs to Anticipate Actions Very Early

1 code implementation ICCV 2017 Mohammad Sadegh Aliakbarian, Fatemeh Sadat Saleh, Mathieu Salzmann, Basura Fernando, Lars Petersson, Lars Andersson

In contrast to the widely studied problem of recognizing an action given a complete sequence, action anticipation aims to identify the action from only partially available videos.

Action Anticipation Autonomous Navigation

Deep Learning for Automated Quality Assessment of Color Fundus Images in Diabetic Retinopathy Screening

no code implementations7 Mar 2017 Sajib Kumar Saha, Basura Fernando, Jorge Cuadros, Di Xiao, Yogesan Kanagasingam

Three retinal image analysis experts were employed to categorize these images into Accept and Reject classes based on the precise definition of image quality in the context of DR. A deep learning framework was trained using 3428 images.

Image Quality Assessment

Action Recognition with Dynamic Image Networks

3 code implementations2 Dec 2016 Hakan Bilen, Basura Fernando, Efstratios Gavves, Andrea Vedaldi

This is a powerful idea because it allows to convert any video to an image so that existing CNN models pre-trained for the analysis of still images can be immediately extended to videos.

Action Recognition Optical Flow Estimation

Unsupervised Human Action Detection by Action Matching

no code implementations2 Dec 2016 Basura Fernando, Sareh Shirazi, Stephen Gould

On the MPII Cooking dataset we detect action segments with a precision of 21. 6% and recall of 11. 7% over 946 long video pairs and over 5000 ground truth action segments.

Action Detection Activity Recognition

Self-Supervised Video Representation Learning With Odd-One-Out Networks

no code implementations CVPR 2017 Basura Fernando, Hakan Bilen, Efstratios Gavves, Stephen Gould

On action classification, our method obtains 60. 3\% on the UCF101 dataset using only UCF101 data for training which is approximately 10% better than current state-of-the-art self-supervised learning methods.

Action Classification General Classification +4

Generalized BackPropagation, Étude De Cas: Orthogonality

no code implementations17 Nov 2016 Mehrtash Harandi, Basura Fernando

This paper introduces an extension of the backpropagation algorithm that enables us to have layers with constrained weights in a deep network.

Dimensionality Reduction Fine-Grained Image Classification +1

SPICE: Semantic Propositional Image Caption Evaluation

8 code implementations29 Jul 2016 Peter Anderson, Basura Fernando, Mark Johnson, Stephen Gould

There is considerable interest in the task of automatically generating image captions.

Image Captioning

Dynamic Image Networks for Action Recognition

1 code implementation CVPR 2016 Hakan Bilen, Basura Fernando, Efstratios Gavves, Andrea Vedaldi, Stephen Gould

We introduce the concept of dynamic image, a novel compact representation of videos useful for video analysis especially when convolutional neural networks (CNNs) are used.

Action Recognition

Rank Pooling for Action Recognition

1 code implementation6 Dec 2015 Basura Fernando, Efstratios Gavves, Jose Oramas, Amir Ghodrati, Tinne Tuytelaars

We show how the parameters of a function that has been fit to the video data can serve as a robust new video representation.

Action Recognition Gesture Recognition +1

Learning to Rank Based on Subsequences

no code implementations ICCV 2015 Basura Fernando, Efstratios Gavves, Damien Muselet, Tinne Tuytelaars

We present a supervised learning to rank algorithm that effectively orders images by exploiting the structure in image sequences.

Learning-To-Rank

MidRank: Learning to rank based on subsequences

no code implementations29 Nov 2015 Basura Fernando, Efstratios Gavves, Damien Muselet, Tinne Tuytelaars

We present a supervised learning to rank algorithm that effectively orders images by exploiting the structure in image sequences.

Learning-To-Rank

Dataset Fingerprints: Exploring Image Collections Through Data Mining

no code implementations CVPR 2015 Konstantinos Rematas, Basura Fernando, Frank Dellaert, Tinne Tuytelaars

As the amount of visual data increases, so does the need for summarization tools that can be used to explore large image collections and to quickly get familiar with their content.

Modeling Video Evolution for Action Recognition

no code implementations CVPR 2015 Basura Fernando, Efstratios Gavves, Jose Oramas M., Amir Ghodrati, Tinne Tuytelaars

We postulate that a function capable of ordering the frames of a video temporally (based on the appearance) captures well the evolution of the appearance within the video.

Action Recognition Skeleton Based Action Recognition

Joint cross-domain classification and subspace learning for unsupervised adaptation

no code implementations17 Nov 2014 Basura Fernando, Tatiana Tommasi, Tinne Tuytelaars

Domain adaptation aims at adapting the knowledge acquired on a source domain to a new different but related target domain.

Domain Adaptation General Classification

Location Recognition Over Large Time Lags

no code implementations26 Sep 2014 Basura Fernando, Tatiana Tommasi, Tinne Tuytelaars

Would it be possible to automatically associate ancient pictures to modern ones and create fancy cultural heritage city maps?

Domain Adaptation

Subspace Alignment For Domain Adaptation

no code implementations18 Sep 2014 Basura Fernando, Amaury Habrard, Marc Sebban, Tinne Tuytelaars

We present two approaches to determine the only hyper-parameter in our method corresponding to the size of the subspaces.

Domain Adaptation

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