Search Results for author: Fahad Khan

Found 31 papers, 9 papers with code

Modelling Collocations in OntoLex-FrAC

no code implementations gwll (LREC) 2022 Christian Chiarcos, Katerina Gkirtzou, Maxim Ionov, Besim Kabashi, Fahad Khan, Ciprian-Octavian Truică

Following presentations of frequency and attestations, and embeddings and distributional similarity, this paper introduces the third cornerstone of the emerging OntoLex module for Frequency, Attestation and Corpus-based Information, OntoLex-FrAC.

From Inscriptions to Lexica and Back: A Platform for Editing and Linking the Languages of Ancient Italy

no code implementations LT4HALA (LREC) 2022 Valeria Quochi, Andrea Bellandi, Fahad Khan, Michele Mallia, Francesca Murano, Silvia Piccini, Luca Rigobianco, Alessandro Tommasi, Cesare Zavattari

Available language technology is hardly applicable to scarcely attested ancient languages, yet their digital semantic representation, though challenging, is an asset for the purpose of sharing and preserving existing cultural knowledge.

A Survey of Guidelines and Best Practices for the Generation, Interlinking, Publication, and Validation of Linguistic Linked Data

no code implementations LDL (ACL) 2022 Fahad Khan, Christian Chiarcos, Thierry Declerck, Maria Pia di Buono, Milan Dojchinovski, Jorge Gracia, Giedre Valunaite Oleskeviciene, Daniela Gifu

This article discusses a survey carried out within the NexusLinguarum COST Action which aimed to give an overview of existing guidelines (GLs) and best practices (BPs) in linguistic linked data.

Towards the Construction of a WordNet for Old English

no code implementations LREC 2022 Fahad Khan, Francisco J. Minaya Gómez, Rafael Cruz González, Harry Diakoff, Javier E. Diaz Vera, John P. McCrae, Ciara O’Loughlin, William Michael Short, Sander Stolk

In this paper we will discuss our preliminary work towards the construction of a WordNet for Old English, taking our inspiration from other similar WN construction projects for ancient languages such as Ancient Greek, Latin and Sanskrit.

Distilling Local Texture Features for Colorectal Tissue Classification in Low Data Regimes

1 code implementation2 Jan 2024 Dmitry Demidov, Roba Al Majzoub, Amandeep Kumar, Fahad Khan

Multi-class colorectal tissue classification is a challenging problem that is typically addressed in a setting, where it is assumed that ample amounts of training data is available.

Knowledge Distillation

PG-Video-LLaVA: Pixel Grounding Large Video-Language Models

1 code implementation22 Nov 2023 Shehan Munasinghe, Rusiru Thushara, Muhammad Maaz, Hanoona Abdul Rasheed, Salman Khan, Mubarak Shah, Fahad Khan

Extending image-based Large Multimodal Models (LMMs) to videos is challenging due to the inherent complexity of video data.

Benchmarking Question Answering +1

Sentence-level Prompts Benefit Composed Image Retrieval

1 code implementation9 Oct 2023 Yang Bai, Xinxing Xu, Yong liu, Salman Khan, Fahad Khan, WangMeng Zuo, Rick Siow Mong Goh, Chun-Mei Feng

Composed image retrieval (CIR) is the task of retrieving specific images by using a query that involves both a reference image and a relative caption.

Attribute Composed Image Retrieval (CoIR) +2

3D Indoor Instance Segmentation in an Open-World

1 code implementation NeurIPS 2023 Mohamed El Amine Boudjoghra, Salwa K. Al Khatib, Jean Lahoud, Hisham Cholakkal, Rao Muhammad Anwer, Salman Khan, Fahad Khan

We argue that such a closed-world assumption is restrictive and explore for the first time 3D indoor instance segmentation in an open-world setting, where the model is allowed to distinguish a set of known classes as well as identify an unknown object as unknown and then later incrementally learning the semantic category of the unknown when the corresponding category labels are available.

3D Instance Segmentation Segmentation +1

Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment

1 code implementation24 Aug 2023 Sheng Zhang, Muzammal Naseer, Guangyi Chen, Zhiqiang Shen, Salman Khan, Kun Zhang, Fahad Khan

To address this challenge, we propose the Self Structural Semantic Alignment (S^3A) framework, which extracts the structural semantic information from unlabeled data while simultaneously self-learning.

Self-Learning Zero-Shot Learning

LEAPS: End-to-End One-Step Person Search With Learnable Proposals

no code implementations21 Mar 2023 Zhiqiang Dong, Jiale Cao, Rao Muhammad Anwer, Jin Xie, Fahad Khan, Yanwei Pang

Given a set of sparse and learnable proposals, LEAPS employs a dynamic person search head to directly perform person detection and corresponding re-id feature generation without non-maximum suppression post-processing.

Human Detection Person Search

Boosting Adversarial Transferability using Dynamic Cues

no code implementations23 Feb 2023 Muzammal Naseer, Ahmad Mahmood, Salman Khan, Fahad Khan

Our temporal prompts are the result of a learnable transformation that allows optimizing for temporal gradients during an adversarial attack to fool the motion dynamics.

Adversarial Attack

PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery

1 code implementation CVPR 2023 Sheng Zhang, Salman Khan, Zhiqiang Shen, Muzammal Naseer, Guangyi Chen, Fahad Khan

The GNCD setting aims to categorize unlabeled training data coming from known and novel classes by leveraging the information of partially labeled known classes.

Graph Generation

CLIP model is an Efficient Continual Learner

1 code implementation6 Oct 2022 Vishal Thengane, Salman Khan, Munawar Hayat, Fahad Khan

In this work, we show that a frozen CLIP (Contrastive Language-Image Pretraining) model offers astounding continual learning performance without any fine-tuning (zero-shot evaluation).

Continual Learning Incremental Learning +1

D3Former: Debiased Dual Distilled Transformer for Incremental Learning

1 code implementation25 Jul 2022 Abdelrahman Mohamed, Rushali Grandhe, K J Joseph, Salman Khan, Fahad Khan

In contrast to a recent ViT based CIL approach, our $\textrm{D}^3\textrm{Former}$ does not dynamically expand its architecture when new tasks are learned and remains suitable for a large number of incremental tasks.

Incremental Learning

On the Robustness of 3D Object Detectors

no code implementations20 Jul 2022 Fatima Albreiki, Sultan Abughazal, Jean Lahoud, Rao Anwer, Hisham Cholakkal, Fahad Khan

To the best of our knowledge, we are the first to investigate the robustness of point-based 3D object detectors.

3D Object Detection Object +1

Representing Temporal Information in Lexical Linked Data Resources

no code implementations LREC 2020 Fahad Khan

The increasing recognition of the utility of Linked Data as a means of publishing lexical resource has helped to underline the need for RDF based data models which have the flexibility and expressivity to be able to represent the most salient kinds of information contained in such resources as structured data, including, notably, information relating to time and the temporal dimension.

Modelling Etymology in LMF/TEI: The Grande Dicion\'ario Houaiss da L\'\ingua Portuguesa Dictionary as a Use Case

no code implementations LREC 2020 Fahad Khan, Laurent Romary, Ana Salgado, Jack Bowers, Mohamed Khemakhem, Toma Tasovac

In this article we will introduce two of the new parts of the new multi-part version of the Lexical Markup Framework (LMF) ISO standard, namely part 3 of the standard (ISO 24613-3), which deals with etymological and diachronic data, and Part 4 (ISO 24613-4), which consists of a TEI serialisation of all of the prior parts of the model.

LMF Reloaded

no code implementations23 May 2019 Laurent Romary, Mohamed Khemakhem, Fahad Khan, Jack Bowers, Nicoletta Calzolari, Monte George, Mandy Pet, Piotr Bański

Lexical Markup Framework (LMF) or ISO 24613 [1] is a de jure standard that provides a framework for modelling and encoding lexical information in retrodigitised print dictionaries and NLP lexical databases.

Tools and Instruments for Building and Querying Diachronic Computational Lexica

no code implementations WS 2016 Fahad Khan, Bell, Andrea i, Monica Monachini

This article describes work on enabling the addition of temporal information to senses of words in linguistic linked open data lexica based on the lemonDia model.

LREC as a Graph: People and Resources in a Network

no code implementations LREC 2016 Riccardo Del Gratta, Francesca Frontini, Monica Monachini, Gabriella Pardelli, Irene Russo, Roberto Bartolini, Fahad Khan, Claudia Soria, Nicoletta Calzolari

This proposal describes a new way to visualise resources in the LREMap, a community-built repository of language resource descriptions and uses.

Al Qamus al Muhit, a Medieval Arabic Lexicon in LMF

no code implementations LREC 2016 Ouafae Nahli, Francesca Frontini, Monica Monachini, Fahad Khan, Arsalan Zarghili, Mustapha Khalfi

This paper describes the conversion into LMF, a standard lexicographic digital format of {`}al-q{\=a}m{\=u}s al-muḥ{\=\i}ṭ, a Medieval Arabic lexicon.

Cannot find the paper you are looking for? You can Submit a new open access paper.