Muzammal Naseer

Orcid: 0000-0001-7663-7161

According to our database1, Muzammal Naseer authored at least 45 papers between 2018 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Guidance Through Surrogate: Toward a Generic Diagnostic Attack.
IEEE Trans. Neural Networks Learn. Syst., February, 2024

Composed Video Retrieval via Enriched Context and Discriminative Embeddings.
CoRR, 2024

VURF: A General-purpose Reasoning and Self-refinement Framework for Video Understanding.
CoRR, 2024

Hierarchical Text-to-Vision Self Supervised Alignment for Improved Histopathology Representation Learning.
CoRR, 2024

Rethinking Transformers Pre-training for Multi-Spectral Satellite Imagery.
CoRR, 2024

ObjectCompose: Evaluating Resilience of Vision-Based Models on Object-to-Background Compositional Changes.
CoRR, 2024

MedContext: Learning Contextual Cues for Efficient Volumetric Medical Segmentation.
CoRR, 2024

Learning to Prompt with Text Only Supervision for Vision-Language Models.
CoRR, 2024

Video-GroundingDINO: Towards Open-Vocabulary Spatio-Temporal Video Grounding.
CoRR, 2024

S3A: Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Stylized Adversarial Defense.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

GeoChat: Grounded Large Vision-Language Model for Remote Sensing.
CoRR, 2023

Enhancing Novel Object Detection via Cooperative Foundational Models.
CoRR, 2023

Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization.
CoRR, 2023

Videoprompter: an ensemble of foundational models for zero-shot video understanding.
CoRR, 2023

LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts.
CoRR, 2023

Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment.
CoRR, 2023

Foundational Models Defining a New Era in Vision: A Survey and Outlook.
CoRR, 2023

Learnable Weight Initialization for Volumetric Medical Image Segmentation.
CoRR, 2023

Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Boosting Adversarial Transferability using Dynamic Cues.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Video-FocalNets: Spatio-Temporal Focal Modulation for Video Action Recognition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

FLIP: Cross-domain Face Anti-spoofing with Language Guidance.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Self-regulating Prompts: Foundational Model Adaptation without Forgetting.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Vita-CLIP: Video and text adaptive CLIP via Multimodal Prompting.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

CLIP2Protect: Protecting Facial Privacy Using Text-Guided Makeup via Adversarial Latent Search.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Transformers in Vision: A Survey.
ACM Comput. Surv., January, 2022

Guidance Through Surrogate: Towards a Generic Diagnostic Attack.
CoRR, 2022

On Improving Adversarial Transferability of Vision Transformers.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Self-supervised Video Transformer.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Adversarial Pixel Restoration as a Pretext Task for Transferable Perturbations.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

How to Train Vision Transformer on Small-scale Datasets?
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

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

2021
Intriguing Properties of Vision Transformers.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Orthogonal Projection Loss.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

On Generating Transferable Targeted Perturbations.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

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

2020
A Self-supervised Approach for Adversarial Robustness.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Indoor Scene Understanding in 2.5/3D for Autonomous Agents: A Survey.
IEEE Access, 2019

Local Gradients Smoothing: Defense Against Localized Adversarial Attacks.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 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

2018
Distorting Neural Representations to Generate Highly Transferable Adversarial Examples.
CoRR, 2018

Indoor Scene Understanding in 2.5/3D: A Survey.
CoRR, 2018


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