Muhammad Haris Khan

Orcid: 0000-0001-9746-276X

According to our database1, Muhammad Haris Khan authored at least 50 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Pose-Guided Self-Training with Two-Stage Clustering for Unsupervised Landmark Discovery.
CoRR, 2024

Towards Generalizing to Unseen Domains with Few Labels.
CoRR, 2024

Why Not Use Your Textbook? Knowledge-Enhanced Procedure Planning of Instructional Videos.
CoRR, 2024

Generalizing to Unseen Domains in Diabetic Retinopathy Classification.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Improving Pseudo-Labelling and Enhancing Robustness for Semi-Supervised Domain Generalization.
Proceedings of the 19th International Joint Conference on Computer Vision, 2024

Discrete Cycle-Consistency Based Unsupervised Deep Graph Matching.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Domain Adaptive Object Detection via Balancing Between Self-Training and Adversarial Learning.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Transformers in medical imaging: A survey.
Medical Image Anal., August, 2023

Visual Object Tracking With Discriminative Filters and Siamese Networks: A Survey and Outlook.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Cal-DETR: Calibrated Detection Transformer.
CoRR, 2023

Unsupervised Deep Graph Matching Based on Cycle Consistency.
CoRR, 2023

Cal-DETR: Calibrated Detection Transformer.
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.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Generalizing Across Domains in Diabetic Retinopathy via Variational Autoencoders.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

MSI: Maximize Support-Set Information for Few-Shot Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Single-branch Network for Multimodal Training.
Proceedings of the IEEE International Conference on Acoustics, 2023

Multiclass Alignment of Confidence and Certainty for Network Calibration.
Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

Multiclass Confidence and Localization Calibration for Object Detection.
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.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Unsupervised Landmark Discovery Using Consistency-Guided Bottleneck.
Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022
Moving objects segmentation using generative adversarial modeling.
Neurocomputing, 2022

Learning Branched Fusion and Orthogonal Projection for Face-Voice Association.
CoRR, 2022

HMFS: Hybrid Masking for Few-Shot Segmentation.
CoRR, 2022

Towards Improving Calibration in Object Detection Under Domain Shift.
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.
Proceedings of the IEEE International Conference on Acoustics, 2022

Video Instance Segmentation via Multi-Scale Spatio-Temporal Split Attention Transformer.
Proceedings of the Computer Vision - ECCV 2022, 2022

HM: Hybrid Masking for Few-Shot Segmentation.
Proceedings of the Computer Vision - ECCV 2022, 2022

Generative Cooperative Learning for Unsupervised Video Anomaly Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Self-distilled Vision Transformer for Domain Generalization.
Proceedings of the Computer Vision - ACCV 2022, 2022

2021
Mask-Guided Attention Network and Occlusion-Sensitive Hard Example Mining for Occluded Pedestrian Detection.
IEEE Trans. Image Process., 2021

Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection.
CoRR, 2021

SSAL: Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection.
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.
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.
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Mode-Guided Feature Augmentation for Domain Generalization.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Rich Semantics Improve Few-Shot Learning.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal Faces.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Cross-Domain Transferability of Adversarial Perturbations.
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.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Mask-Guided Attention Network for Occluded Pedestrian Detection.
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.
Comput. Vis. Image Underst., 2018

2017
Synergy between Face Alignment and Tracking via Discriminative Global Consensus Optimization.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
The Visual Object Tracking VOT2016 Challenge Results.
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Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

2015
Visual tracking over multiple temporal scales.
PhD thesis, 2015

TRIC-track: Tracking by Regression with Incrementally Learned Cascades.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014
A Generalized Search Method for Multiple Competing Hypotheses in Visual Tracking.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

MTS: A Multiple Temporal Scale Tracker Handling Occlusion and Abrupt Motion Variation.
Proceedings of the Computer Vision - ACCV 2014, 2014

2011
A Probabilistic Framework for Patch based Vehicle Type Recognition.
Proceedings of the VISAPP 2011, 2011

2009
Bayesian prior models for vehicle make and model recognition.
Proceedings of the FIT '09, 2009

A robust background subtraction algorithm for motion based video scene segmentation in embedded platforms.
Proceedings of the FIT '09, 2009


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