Muhammad Haris Khan

CoRR, 2024

Depth Attention for Robust RGB Tracking.

[BibT_eX]

[DOI]

Yu Liu

Miguel Altamirano Cabrera

CoRR, 2024

Musinger: Communication of Music over a Distance with Wearable Haptic Display and Touch Sensitive Surface.

[BibT_eX]

[DOI]

CoRR, 2024

Towards Combating Frequency Simplicity-biased Learning for Domain Generalization.

[BibT_eX]

[DOI]

CoRR, 2024

SynFER: Towards Boosting Facial Expression Recognition with Synthetic Data.

[BibT_eX]

[DOI]

CoRR, 2024

Multi-modal Medical Image Fusion For Non-Small Cell Lung Cancer Classification.

[BibT_eX]

[DOI]

CoRR, 2024

Industry 6.0: New Generation of Industry driven by Generative AI and Swarm of Heterogeneous Robots.

[BibT_eX]

[DOI]

Artem Lykov

Miguel Altamirano Cabrera

Mikhail Konenkov

Valerii Serpiva

Koffivi Fidèle Gbagbe

CoRR, 2024

Realistic and Efficient Face Swapping: A Unified Approach with Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2024

Domain-Guided Weight Modulation for Semi-Supervised Domain Generalization.

[BibT_eX]

[DOI]

Chamuditha Jayanga Galappaththige

CoRR, 2024

DPA: Dual Prototypes Alignment for Unsupervised Adaptation of Vision-Language Models.

[BibT_eX]

[DOI]

Eman Ali

Sathira Silva

CoRR, 2024

Modality Invariant Multimodal Learning to Handle Missing Modalities: A Single-Branch Approach.

[BibT_eX]

[DOI]

Karthik Nandakumar

Hassan Sajjad

Tom De Schepper

Markus Schedl

CoRR, 2024

How Effective are Self-Supervised Models for Contact Identification in Videos.

[BibT_eX]

[DOI]

CoRR, 2024

Chameleon: Images Are What You Need For Multimodal Learning Robust To Missing Modalities.

[BibT_eX]

[DOI]

Muhammad Irzam Liaqat

CoRR, 2024

Attention Based Simple Primitives for Open World Compositional Zero-Shot Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Success or Failure? Analyzing Segmentation Refinement with Few-Shot Segmentation.

[BibT_eX]

[DOI]

Seonghyeon Moon

Haein Kong

Muhammad Ibraheem Siddiqui

CoRR, 2024

PerSense: Personalized Instance Segmentation in Dense Images.

[BibT_eX]

[DOI]

Muhammad Umer Sheikh

Hassan Abid

CoRR, 2024

Face-voice Association in Multilingual Environments (FAME) Challenge 2024 Evaluation Plan.

[BibT_eX]

[DOI]

Muhammad Salman Tahir

Rohan Kumar Das

Chamuditha Jayanga Galappaththige

CoRR, 2024

Generalizing to Unseen Domains in Diabetic Retinopathy Classification.

[BibT_eX]

[DOI]

Gayal Kuruppu

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

Improving Pseudo-Labelling and Enhancing Robustness for Semi-Supervised Domain Generalization.

[BibT_eX]

[DOI]

Adnan Khan

Mai A. Shaaban

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

A Synopsis of FAME 2024 Challenge: Associating Faces with Voices in Multilingual Environments.

[BibT_eX]

[DOI]

Muhammad Salman Tahir

Muhammad Irzam Liaqat

Karthik Nandakumar

Kumaranage Ravindu Yasas Nagasinghe

Markus Schedl

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Leveraging Cycle-Consistent Anchor Points for Self-Supervised RGB-D Registration.

[BibT_eX]

[DOI]

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

Pose-Guided Self-Training with Two-Stage Clustering for Unsupervised Landmark Discovery.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Why Not Use Your Textbook? Knowledge-Enhanced Procedure Planning of Instructional Videos.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Towards Generalizing to Unseen Domains with Few Labels.

[BibT_eX]

[DOI]

Chamuditha Jayanga Galappaththige

Sanoojan Baliah

Malitha Gunawardhana

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Improving Single Domain-Generalized Object Detection: A Focus on Diversification and Alignment.

[BibT_eX]

[DOI]

Muhammad Sohail Danish

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Discrete Cycle-Consistency Based Unsupervised Deep Graph Matching.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Domain Adaptive Object Detection via Balancing Between Self-Training and Adversarial Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Transformers in medical imaging: A survey.

[BibT_eX]

[DOI]

Medical Image Anal., August, 2023

Visual Object Tracking With Discriminative Filters and Siamese Networks: A Survey and Outlook.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Unsupervised Deep Graph Matching Based on Cycle Consistency.

[BibT_eX]

[DOI]

CoRR, 2023

Cal-DETR: Calibrated Detection Transformer.

[BibT_eX]

[DOI]

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

Exploring the Transfer Learning Capabilities of CLIP in Domain Generalization for Diabetic Retinopathy.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Generalizing Across Domains in Diabetic Retinopathy via Variational Autoencoders.

[BibT_eX]

[DOI]

Sharon Chokuwa

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

MSI: Maximize Support-Set Information for Few-Shot Segmentation.

[BibT_eX]

[DOI]

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

Single-branch Network for Multimodal Training.

[BibT_eX]

[DOI]

Karthik Nandakumar

Proceedings of the IEEE International Conference on Acoustics, 2023

Multiclass Alignment of Confidence and Certainty for Network Calibration.

[BibT_eX]

[DOI]

Vinith Kugathasan

Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

Multiclass Confidence and Localization Calibration for Object Detection.

[BibT_eX]

[DOI]

Bimsara Pathiraja

Malitha Gunawardhana

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection.

[BibT_eX]

[DOI]

Salman H. Khan

Fahad Shahbaz Khan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Unsupervised Landmark Discovery Using Consistency-Guided Bottleneck.

[BibT_eX]

[DOI]

Mamona Awan

Sanoojan Baliah

Muhammad Ahmad Waseem

Salman Khan

Fahad Shahbaz Khan

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Moving objects segmentation using generative adversarial modeling.

[BibT_eX]

[DOI]

Neurocomputing, 2022

Learning Branched Fusion and Orthogonal Projection for Face-Voice Association.

[BibT_eX]

[DOI]

Alessio Del Bue

CoRR, 2022

HMFS: Hybrid Masking for Few-Shot Segmentation.

[BibT_eX]

[DOI]

CoRR, 2022

Towards Improving Calibration in Object Detection Under Domain Shift.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Fusion and Orthogonal Projection for Improved Face-Voice Association.

[BibT_eX]

[DOI]

Alessio Del Bue

Proceedings of the IEEE International Conference on Acoustics, 2022

Video Instance Segmentation via Multi-Scale Spatio-Temporal Split Attention Transformer.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

HM: Hybrid Masking for Few-Shot Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Generative Cooperative Learning for Unsupervised Video Anomaly Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Self-distilled Vision Transformer for Domain Generalization.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

Mask-Guided Attention Network and Occlusion-Sensitive Hard Example Mining for Occluded Pedestrian Detection.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection.

[BibT_eX]

[DOI]

CoRR, 2021

SSAL: Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

An Anomaly Detection System via Moving Surveillance Robots with Human Collaboration.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Background/Foreground Separation: Guided Attention based Adversarial Modeling (GAAM) versus Robust Subspace Learning Methods.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Mode-Guided Feature Augmentation for Domain Generalization.

[BibT_eX]

[DOI]

Syed Muhammad talha Zaidi

Salman Khan

Fahad Shahbaz Khan

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Rich Semantics Improve Few-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal Faces.

[BibT_eX]

[DOI]

Georgios Tzimiropoulos

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Cross-Domain Transferability of Adversarial Perturbations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Deep Contextual Attention for Human-Object Interaction Detection.

[BibT_eX]

[DOI]

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

Mask-Guided Attention Network for Occluded Pedestrian Detection.

[BibT_eX]

[DOI]

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

2018

Pushing the boundaries of audiovisual word recognition using Residual Networks and LSTMs.

[BibT_eX]

[DOI]

Themos Stafylakis

Georgios Tzimiropoulos

Comput. Vis. Image Underst., 2018

2017

Synergy between Face Alignment and Tracking via Discriminative Global Consensus Optimization.

[BibT_eX]

[DOI]

Gorthi R. K. Sai Subrahmanyam

John McDonagh

Georgios Tzimiropoulos

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

The Visual Object Tracking VOT2016 Challenge Results.

[BibT_eX]

[DOI]

Alireza Memarmoghadam

Guilherme Sousa Bastos

Kannappan Palaniappan

Mario Edoardo Maresca

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

2015

Visual tracking over multiple temporal scales.

[BibT_eX]

[DOI]

PhD thesis, 2015

TRIC-track: Tracking by Regression with Incrementally Learned Cascades.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

A Generalized Search Method for Multiple Competing Hypotheses in Visual Tracking.

[BibT_eX]

[DOI]

Michel François Valstar

Tony P. Pridmore

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

MTS: A Multiple Temporal Scale Tracker Handling Occlusion and Abrupt Motion Variation.

[BibT_eX]

[DOI]

Michel François Valstar

Tony P. Pridmore

Proceedings of the Computer Vision - ACCV 2014, 2014

2011

A Probabilistic Framework for Patch based Vehicle Type Recognition.

[BibT_eX]

Proceedings of the VISAPP 2011, 2011

2009

Bayesian prior models for vehicle make and model recognition.

[BibT_eX]

[DOI]

Proceedings of the FIT '09, 2009

A robust background subtraction algorithm for motion based video scene segmentation in embedded platforms.

[BibT_eX]

[DOI]