2 citations · 7 across the 21 of their papers we have counts for
22 papers
NeuroSymbEAD: A Large Scale Neuro-Symbolic Caption Dataset for Omni-Directional Embodied Autonomous Driving
Muhammad Ahmed Ullah Khan, Mohammed Elamine, Sheikh Talha Uddin +3
This paper introduces NeuroSymbEAD, a large-scale neuro-symbolic caption dataset featuring an ego-centric knowledge graph (KG) of static and dynamic objects annotated with classes,…
BRepCLIP: Contrastive Multimodal Pretraining on BRep Primitives for CAD Understanding
Muhammad Usama, Didier Stricker, Mohammad Sadil Khan +1
Learning representations of CAD models is a largely open problem. While 3D representation learning has flourished around point clouds and meshes, the native format of CAD - boundar…
ReConText3D: Replay-based Continual Text-to-3D Generation
Muhammad Ahmed Ullah Khan, Muhammad Haris Bin Amir, Didier Stricker +1
Continual learning enables models to acquire new knowledge over time while retaining previously learned capabilities. However, its application to text-to-3D generation remains unex…
NURBGen: High-Fidelity Text-to-CAD Generation through LLM-Driven NURBS Modeling
Muhammad Usama, Mohammad Sadil Khan, Didier Stricker +1
Generating editable 3D CAD models from natural language remains challenging, as existing text-to-CAD systems either produce meshes or rely on scarce design-history data. We present…
Beyond Boxes: Mask-Guided Spatio-Temporal Feature Aggregation for Video Object Detection
Khurram Azeem Hashmi, Talha Uddin Sheikh, Didier Stricker +1
The primary challenge in Video Object Detection (VOD) is effectively exploiting temporal information to enhance object representations. Traditional strategies, such as aggregating…
MARVEL-40M+: Multi-Level Visual Elaboration for High-Fidelity Text-to-3D Content Creation
Sankalp Sinha, Mohammad Sadil Khan, Muhammad Usama +4
Generating high-fidelity 3D content from text prompts remains a significant challenge in computer vision due to the limited size, diversity, and annotation depth of the existing da…
Text2CAD: Generating Sequential CAD Models from Beginner-to-Expert Level Text Prompts
Mohammad Sadil Khan, Sankalp Sinha, Talha Uddin Sheikh +3
Prototyping complex computer-aided design (CAD) models in modern softwares can be very time-consuming. This is due to the lack of intelligent systems that can quickly generate simp…
BRep Boundary and Junction Detection for CAD Reverse Engineering
Sk Aziz Ali, Mohammad Sadil Khan, Didier Stricker
In machining process, 3D reverse engineering of the mechanical system is an integral, highly important, and yet time consuming step to obtain parametric CAD models from 3D scans. T…
PoseAdapt: Sustainable Human Pose Estimation via Continual Learning Benchmarks and Toolkit
Muhammad Saif Ullah Khan, Didier Stricker
Human pose estimators are typically retrained from scratch or naively fine-tuned whenever keypoint sets, sensing modalities, or deployment domains change--an inefficient, compute-i…
Classroom-Inspired Multi-Mentor Distillation with Adaptive Learning Strategies
Shalini Sarode, Muhammad Saif Ullah Khan, Tahira Shehzadi +2
We propose ClassroomKD, a novel multi-mentor knowledge distillation framework inspired by classroom environments to enhance knowledge transfer between the student and multiple ment…
Semi-Supervised Object Detection: A Survey on Progress from CNN to Transformer
Tahira Shehzadi, Ifza, Didier Stricker +1
The impressive advancements in semi-supervised learning have driven researchers to explore its potential in object detection tasks within the field of computer vision. Semi-Supervi…
Enhanced Bank Check Security: Introducing a Novel Dataset and Transformer-Based Approach for Detection and Verification
Muhammad Saif Ullah Khan, Tahira Shehzadi, Rabeya Noor +2
Automated signature verification on bank checks is critical for fraud prevention and ensuring transaction authenticity. This task is challenging due to the coexistence of signature…
UnSupDLA: Towards Unsupervised Document Layout Analysis
Talha Uddin Sheikh, Tahira Shehzadi, Khurram Azeem Hashmi +2
Document layout analysis is a key area in document research, involving techniques like text mining and visual analysis. Despite various methods developed to tackle layout analysis,…
Shape2.5D: A Dataset of Texture-less Surfaces for Depth and Normals Estimation
Muhammad Saif Ullah Khan, Sankalp Sinha, Didier Stricker +2
Reconstructing texture-less surfaces poses unique challenges in computer vision, primarily due to the lack of specialized datasets that cater to the nuanced needs of depth and norm…
SituationalLLM: Proactive language models with scene awareness for dynamic, contextual task guidance
Muhammad Saif Ullah Khan, Muhammad Zeshan Afzal, Didier Stricker
Large language models (LLMs) have achieved remarkable success in text-based tasks but often struggle to provide actionable guidance in real-world physical environments. This is bec…
Estimating Human Poses Across Datasets: A Unified Skeleton and Multi-Teacher Distillation Approach
Muhammad Saif Ullah Khan, Dhavalkumar Limbachiya, Didier Stricker +1
Human pose estimation is a key task in computer vision with various applications such as activity recognition and interactive systems. However, the lack of consistency in the annot…
End-to-End Semi-Supervised approach with Modulated Object Queries for Table Detection in Documents
Iqraa Ehsan, Tahira Shehzadi, Didier Stricker +1
Table detection, a pivotal task in document analysis, aims to precisely recognize and locate tables within document images. Although deep learning has shown remarkable progress in…
CICA: Content-Injected Contrastive Alignment for Zero-Shot Document Image Classification
Sankalp Sinha, Muhammad Saif Ullah Khan, Talha Uddin Sheikh +2
Zero-shot learning has been extensively investigated in the broader field of visual recognition, attracting significant interest recently. However, the current work on zero-shot le…
Towards End-to-End Semi-Supervised Table Detection with Semantic Aligned Matching Transformer
Tahira Shehzadi, Shalini Sarode, Didier Stricker +1
Table detection within document images is a crucial task in document processing, involving the identification and localization of tables. Recent strides in deep learning have subst…
A Hybrid Approach for Document Layout Analysis in Document images
Tahira Shehzadi, Didier Stricker, Muhammad Zeshan Afzal
Document layout analysis involves understanding the arrangement of elements within a document. This paper navigates the complexities of understanding various elements within docume…
Sparse Semi-DETR: Sparse Learnable Queries for Semi-Supervised Object Detection
Tahira Shehzadi, Khurram Azeem Hashmi, Didier Stricker +1
In this paper, we address the limitations of the DETR-based semi-supervised object detection (SSOD) framework, particularly focusing on the challenges posed by the quality of objec…
Human Pose Descriptions and Subject-Focused Attention for Improved Zero-Shot Transfer in Human-Centric Classification Tasks
Muhammad Saif Ullah Khan, Muhammad Ferjad Naeem, Federico Tombari +3
We present a novel LLM-based pipeline for creating contextual descriptions of human body poses in images using only auxiliary attributes. This approach facilitates the creation of…