Search Results for author: Shafin Rahman

Found 19 papers, 9 papers with code

DPST: De Novo Peptide Sequencing with Amino-Acid-Aware Transformers

no code implementations23 Mar 2022 Yan Yang, Zakir Hossain, Khandaker Asif, Liyuan Pan, Shafin Rahman, Eric Stone

De novo peptide sequencing aims to recover amino acid sequences of a peptide from tandem mass spectrometry (MS) data.

Learning without Forgetting for 3D Point Cloud Objects

1 code implementation27 Jun 2021 Townim Chowdhury, Mahira Jalisha, Ali Cheraghian, Shafin Rahman

Experimenting on three 3D point cloud recognition backbones (PointNet, DGCNN, and PointConv) and synthetic (ModelNet40, ModelNet10) and real scanned (ScanObjectNN) datasets, we establish new baseline results on learning without forgetting for 3D data.

Knowledge Distillation

Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning

no code implementations CVPR 2021 Ali Cheraghian, Shafin Rahman, Pengfei Fang, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi

Few-shot class incremental learning (FSCIL) portrays the problem of learning new concepts gradually, where only a few examples per concept are available to the learner.

class-incremental learning Incremental Learning +2

S2FGAN: Semantically Aware Interactive Sketch-to-Face Translation

1 code implementation30 Nov 2020 Yan Yang, Md Zakir Hossain, Tom Gedeon, Shafin Rahman

Instead of constraining the translation process by using a reference image, the users can command the model to retouch the generated images by involving the semantic information in the generation process.

Image Generation Image Manipulation +1

Classifying Eye-Tracking Data Using Saliency Maps

1 code implementation24 Oct 2020 Shafin Rahman, Sejuti Rahman, Omar Shahid, Md. Tahmeed Abdullah, Jubair Ahmed Sourov

A plethora of research in the literature shows how human eye fixation pattern varies depending on different factors, including genetics, age, social functioning, cognitive functioning, and so on.

General Classification

Synthesizing the Unseen for Zero-shot Object Detection

1 code implementation19 Oct 2020 Nasir Hayat, Munawar Hayat, Shafin Rahman, Salman Khan, Syed Waqas Zamir, Fahad Shahbaz Khan

The existing zero-shot detection approaches project visual features to the semantic domain for seen objects, hoping to map unseen objects to their corresponding semantics during inference.

Generalized Zero-Shot Object Detection Zero-Shot Object Detection

RealSmileNet: A Deep End-To-End Network for Spontaneous and Posed Smile Recognition

no code implementations7 Oct 2020 Yan Yang, Md Zakir Hossain, Tom Gedeon, Shafin Rahman

Smiles play a vital role in the understanding of social interactions within different communities, and reveal the physical state of mind of people in both real and deceptive ways.

Feature Engineering Smile Recognition

Any-Shot Object Detection

no code implementations16 Mar 2020 Shafin Rahman, Salman Khan, Nick Barnes, Fahad Shahbaz Khan

Any-shot detection offers unique challenges compared to conventional novel object detection such as, a high imbalance between unseen, few-shot and seen object classes, susceptibility to forget base-training while learning novel classes and distinguishing novel classes from the background.

Object Detection

Transductive Zero-Shot Learning for 3D Point Cloud Classification

1 code implementation16 Dec 2019 Ali Cheraghian, Shafin Rahman, Dylan Campbell, Lars Petersson

This paper extends, for the first time, transductive Zero-Shot Learning (ZSL) and Generalized Zero-Shot Learning (GZSL) approaches to the domain of 3D point cloud classification.

3D Point Cloud Classification Classification +4

Transductive Learning for Zero-Shot Object Detection

no code implementations ICCV 2019 Shafin Rahman, Salman Khan, Nick Barnes

To the best of our knowledge, we are the first to propose a transductive zero-shot object detection approach that convincingly reduces the domain-shift and model-bias against unseen classes.

Self-Learning Zero-Shot Learning +1

Zero-shot Learning of 3D Point Cloud Objects

1 code implementation27 Feb 2019 Ali Cheraghian, Shafin Rahman, Lars Petersson

A challenge for a 3D point cloud recognition system is, then, to classify objects from new, unseen, classes.

Zero-Shot Learning

Polarity Loss for Zero-shot Object Detection

2 code implementations22 Nov 2018 Shafin Rahman, Salman Khan, Nick Barnes

This setting gives rise to the need for correct alignment between visual and semantic concepts, so that the unseen objects can be identified using only their semantic attributes.

Metric Learning Zero-Shot Learning +1

Task-generalizable Adversarial Attack based on Perceptual Metric

no code implementations22 Nov 2018 Muzammal Naseer, Salman H. Khan, Shafin Rahman, Fatih Porikli

Deep neural networks (DNNs) can be easily fooled by adding human imperceptible perturbations to the images.

Adversarial Attack Object Detection +1

Deep Multiple Instance Learning for Zero-shot Image Tagging

1 code implementation16 Mar 2018 Shafin Rahman, Salman Khan

In-line with the success of deep learning on traditional recognition problem, several end-to-end deep models for zero-shot recognition have been proposed in the literature.

Multiple Instance Learning Zero-Shot Learning

Zero-Shot Object Detection: Learning to Simultaneously Recognize and Localize Novel Concepts

1 code implementation16 Mar 2018 Shafin Rahman, Salman Khan, Fatih Porikli

We hypothesize that this setting is ill-suited for real-world applications where unseen objects appear only as a part of a complex scene, warranting both the `recognition' and `localization' of an unseen category.

Zero-Shot Learning Zero-Shot Object Detection

A Unified approach for Conventional Zero-shot, Generalized Zero-shot and Few-shot Learning

no code implementations27 Jun 2017 Shafin Rahman, Salman H. Khan, Fatih Porikli

Then, it learns how to combine these directions to obtain the principal direction for each unseen class such that the CAPD of the test image is aligned with the semantic embedding of the true class, and opposite to the other classes.

Generalized Zero-Shot Learning One-Shot Learning

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