Jean Lahoud

According to our database, Jean Lahoud authored at least 30 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

InceptionMamba: Efficient Multi-Stage Feature Enhancement with Selective State Space Model for Microscopic Medical Image Segmentation.

Daniya Najiha Abdul Kareem, Abdul Hannan, Mubashir Noman, Jean Lahoud, Mustansar Fiaz, Hisham Cholakkal

CoRR, June, 2025

A Culturally-diverse Multilingual Multimodal Video Benchmark & Model.

Bhuiyan Sanjid Shafique, Ashmal Vayani, Muhammad Maaz, Hanoona Abdul Rasheed, Dinura Dissanayake, Mohammed Irfan Kurpath, Yahya Hmaiti, Go Inoue, Jean Lahoud, Md. Safirur Rashid, Shadid Intisar Quasem, Maheen Fatima, Franco Vidal, Mykola Maslych, Ketan More, Sanoojan Baliah, Hasindri Watawana, Yuhao Li, Fabian Farestam, Leon Schaller, Roman Tymtsiv, Simon Weber, Hisham Cholakkal, Ivan Laptev, Shin'ichi Satoh, Michael Felsberg, Mubarak Shah, Salman H. Khan, Fahad Shahbaz Khan

CoRR, June, 2025

Agent-X: Evaluating Deep Multimodal Reasoning in Vision-Centric Agentic Tasks.

Tajamul Ashraf, Amal Saqib, Hanan Ghani, Muhra AlMahri, Yuhao Li, Noor Ahsan, Umair Nawaz, Jean Lahoud, Hisham Cholakkal, Mubarak Shah, Philip Torr, Fahad Shahbaz Khan, Rao Muhammad Anwer, Salman H. Khan

CoRR, May, 2025

Tracking Meets Large Multimodal Models for Driving Scenario Understanding.

Ayesha Ishaq, Jean Lahoud, Fahad Shahbaz Khan, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer

CoRR, March, 2025

DriveLMM-o1: A Step-by-Step Reasoning Dataset and Large Multimodal Model for Driving Scenario Understanding.

Ayesha Ishaq, Jean Lahoud, Ketan More, Omkar Thawakar, Ritesh Thawkar, Dinura Dissanayake, Noor Ahsan, Yuhao Li, Fahad Shahbaz Khan, Hisham Cholakkal, Ivan Laptev, Rao Muhammad Anwer, Salman H. Khan

CoRR, March, 2025

CLIMB-3D: Continual Learning for Imbalanced 3D Instance Segmentation.

Vishal Thengane, Jean Lahoud, Hisham Cholakkal, Rao Muhammad Anwer, Lu Yin, Xiatian Zhu, Salman Khan

CoRR, February, 2025

Open-Set Semi-Supervised Learning for Long-Tailed Medical Datasets.

Daniya Najiha Abdul Kareem, Jean Lahoud, Mustansar Fiaz, Amandeep Kumar, Hisham Cholakkal

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Open-YOLO 3D: Towards Fast and Accurate Open-Vocabulary 3D Instance Segmentation.

Mohamed El Amine Boudjoghra, Angela Dai, Jean Lahoud, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Fahad Shahbaz Khan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

LlamaV-o1: Rethinking Step-by-step Visual Reasoning in LLMs.

Omkar Thawakar, Dinura Dissanayake, Ketan Pravin More, Ritesh Thawkar, Ahmed Heakl, Noor Ahsan, Yuhao Li, Mohammed Zumri, Jean Lahoud, Rao Muhammad Anwer, Hisham Cholakkal, Ivan Laptev, Mubarak Shah, Fahad Shahbaz Khan, Salman H. Khan

Proceedings of the Findings of the Association for Computational Linguistics, 2025

LLMVoX: Autoregressive Streaming Text-to-Speech Model for Any LLM.

Sambal Shikhar, Mohammed Irfan Kurpath, Sahal Shaji Mullappilly, Jean Lahoud, Fahad Shahbaz Khan, Rao Muhammad Anwer, Salman H. Khan, Hisham Cholakkal

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Open3DTrack: Towards Open-Vocabulary 3D Multi-Object Tracking.

Ayesha Ishaq, Mohamed El Amine Boudjoghra, Jean Lahoud, Fahad Shahbaz Khan, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer

CoRR, 2024

TransRadar: Adaptive-Directional Transformer for Real-Time Multi-View Radar Semantic Segmentation.

Yahia Dalbah, Jean Lahoud, Hisham Cholakkal

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Long-Tailed 3D Semantic Segmentation with Adaptive Weight Constraint and Sampling.

Jean Lahoud, Fahad Shahbaz Khan, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

PARIS3D: Reasoning-Based 3D Part Segmentation Using Large Multimodal Model.

Amrin Kareem, Jean Lahoud, Hisham Cholakkal

Proceedings of the Computer Vision - ECCV 2024, 2024

Continual Learning and Unknown Object Discovery in 3D Scenes via Self-distillation.

Mohamed El Amine Boudjoghra, Jean Lahoud, Hisham Cholakkal, Rao Muhammad Anwer, Salman Khan, Fahad Shahbaz Khan

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Data-Efficient Transformer-Based 3D Object Detection.

Aidana Nurakhmetova, Jean Lahoud, Hisham Cholakkal

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

Surface-Biased Multi-Level Context 3D Object Detection.

Sultan Abu Ghazal, Jean Lahoud, Rao Muhammad Anwer

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

RadarFormer: Lightweight and Accurate Real-Time Radar Object Detection Model.

Yahia Dalbah, Jean Lahoud, Hisham Cholakkal

Proceedings of the Image Analysis - 22nd Scandinavian Conference, 2023

3D Indoor Instance Segmentation in an Open-World.

Mohamed El Amine Boudjoghra, Salwa K. Al Khatib, Jean Lahoud, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Fahad Shahbaz Khan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

3D Instance Segmentation via Enhanced Spatial and Semantic Supervision.

Salwa K. Al Khatib, Mohamed El Amine Boudjoghra, Jean Lahoud, Fahad Shahbaz Khan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

3D Vision with Transformers: A Survey.

Jean Lahoud, Jiale Cao, Fahad Shahbaz Khan, Hisham Cholakkal, Rao Muhammad Anwer, Salman Khan, Ming-Hsuan Yang

CoRR, 2022

CMR3D: Contextualized Multi-Stage Refinement for 3D Object Detection.

Dhanalaxmi Gaddam, Jean Lahoud, Fahad Shahbaz Khan, Rao Muhammad Anwer, Hisham Cholakkal

Proceedings of the 4th ACM International Conference on Multimedia in Asia, 2022

On the Robustness of 3D Object Detectors.

Fatima Albreiki, Sultan Abu Ghazal, Jean Lahoud, Rao Muhammad Anwer, Hisham Cholakkal, Fahad Shahbaz Khan

Proceedings of the 4th ACM International Conference on Multimedia in Asia, 2022

2020

Indoor 3D Scene Understanding Using Depth Sensors.

Jean Lahoud

PhD thesis, 2020

RGB-based Semantic Segmentation Using Self-Supervised Depth Pre-Training.

Jean Lahoud, Bernard Ghanem

CoRR, 2020

2019

3D Instance Segmentation via Multi-Task Metric Learning.

Jean Lahoud, Bernard Ghanem, Martin R. Oswald, Marc Pollefeys

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Sim4CV: A Photo-Realistic Simulator for Computer Vision Applications.

Matthias Müller, Vincent Casser, Jean Lahoud, Neil Smith, Bernard Ghanem

Int. J. Comput. Vis., 2018

2017

UE4Sim: A Photo-Realistic Simulator for Computer Vision Applications.

Matthias Müller, Vincent Casser, Jean Lahoud, Neil Smith, Bernard Ghanem

CoRR, 2017

2D-Driven 3D Object Detection in RGB-D Images.

Jean Lahoud, Bernard Ghanem

Proceedings of the IEEE International Conference on Computer Vision, 2017

2014

3D Aware Correction and Completion of Depth Maps in Piecewise Planar Scenes.

Ali K. Thabet, Jean Lahoud, Daniel C. Asmar, Bernard Ghanem

Proceedings of the Computer Vision - ACCV 2014, 2014