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Muzammal-Naseer/README.md

Hi there 👋

  • 🔭 I am interested in building Robust Intelligent Systems. My research focuses on robust visual-spatial and temporal perception, understanding and explaining AI behavior through adversarial machine learning, representation learning through self-learning ( self-supervision, self-distillation, self-critique, self-reflection), and configuring the role of large language models (LLMs) in building robust AI systems across applications of life sciences and security.
  • 🌱 You are welcome to explore my research work using the code provided below. Eight of the papers have been accepted as Oral/Spotlight at ICLR, NeurIPS, AAAI, CVPR, BMVC, and ACCV.
  • 📫 How to reach me: muz.pak@gmail.com

🌱 Repositories

Topic Application Paper Repo Venue
Visual-Spatial Perception Understanding Vision Models's Generalization ObjectCompose: Evaluating Resilience of Vision-Based Models on Object-to-Background Compositional Changes ObjectCompose ACCV'24-Oral
Adversarial Machine Learning Volumetric Medical Segmentation On Evaluating Adversarial Robustness of Volumetric Medical Segmentation Models RVMSM BMVC'24
Vision-Language Model Histopathology Representation Learning Hierarchical Text-to-Vision Self Supervised Alignment for Improved Histopathology Representation Learning HLSS MICCAI'24
Self-Learning Volumetric Medical Segmentation MedContext: Learning Contextual Cues for Efficient Volumetric Medical Segmentation MedContext MICCAI'24
Adversarial Machine Learning Adversarial Attack BAPLe: Backdoor Attacks on Medical Foundational Models using Prompt Learning baple MICCAI'24
Adversarial Machine Learning Certifiable Adversarial Defense PromptSmooth: Certifying Robustness of Medical Vision-Language Models via Prompt Learning promptsmooth MICCAI'24
Vision-Language Model Composed Video Retrieval Composed Video Retrieval via Enriched Context and Discriminative Embeddings composed-video-retrieval CVPR'24
Self-Learning Multi-Spectral Satellite Imagery Rethinking Transformers Pre-training for Multi-Spectral Satellite Imagery satmae_pp CVPR'24
Vision-Language Model Video grounding Video-GroundingDINO: Towards Open-Vocabulary Spatio-Temporal Video Grounding Video-GroundingDINO CVPR'24
Multi-modal Large Language Model VLM for Remote Sensing Geochat: Grounded large vision-language model for remote sensing GeoChat CVPR'24
Text-to-Image Model Leaverging LLM to generate complex scenes (Zero-Shot) LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts llmblueprint ICLR'24
Vision-Language Model Self-structural Alignment of Foundational Models (Zero-Shot) Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment S3A AAAI'24-Oral
Vision-Language Model Test-Time Alignment of Foundational Models (Zero-Shot) Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization PromptAlign NeurIPS'23
Vision-Language Model Regulating Foundational Models Self-regulating Prompts: Foundational Model Adaptation without Forgetting PromptSRC ICCV'23
Visual-Spatial and Temporal Perception Video Recognition Video-FocalNets: Spatio-Temporal Focal Modulation for Video Action Recognition Video-FocalNets ICCV'23
Vision-Language Model Face Anti-spoofing FLIP: Cross-domain Face Anti-spoofing with Language Guidance FLIP ICCV'23
Adversarial Machine Learning Adversarial Training Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation VAFA MICCAI'23
Adversarial Machine Learning Facial Privacy CLIP2Protect: Protecting Facial Privacy Using Text-Guided Makeup via Adversarial Latent Search Clip2Protect CVPR'23
Vision-Language Model Video Recognition (Zero-shot) Vita-CLIP: Video and text adaptive CLIP via Multimodal Prompting Vita-CLIP CVPR'23
Self-Learning Image Recognition (Category Discovery) PromptCAL for Generalized Novel Category Discovery PromptCAL CVPR'23
Adversarial Machine Learning Adversarial Attack Boosting Adversarial Transferability using Dynamic Cues DCViT-AT ICLR'23
Self-Learning Video Recognition Self-Supervised Video Transformer SVT CVPR'22-Oral
Adversarial Machine Learning Adversarial Defense Stylized Adversarial Training SAT IEEE-TPAMI'22
Adversarial Machine Learning Adversarial Attack Adversarial Pixel Restoration as a Pretext Task for Transferable Perturbations ARP BMVC'22-Oral
Visual-Spatial Perception Image Recognition How to Train Vision Transformer on Small-scale Datasets? VSSD BMVC'22
Self-Learning Image Recognition (Domain Generalization) Self-Distilled Vision Transformer for Domain Generalization SDViT ACCV'22-Oral
Visual-Spatial Perception Understanding Vision Transformer Intriguing Properties of Vision Transformers IPViT NeurIPS'21-Spotlight
Adversarial Machine Learning Adversarial Attack On Improving Adversarial Transferability of Vision Transformers ATViT ICLR'21-Spotlight
Adversarial Machine Learning Adversarial Attack On Generating Transferable Targeted Perturbations TTP ICCV'21
Visual-Spatial Perception Image Recognition Orthogonal Projection Loss OPL ICCV'21
Adversarial Machine Learning Adversarial Defense A Self-supervised Approach for Adversarial Robustness NRP CVPR'20-Oral
Adversarial Machine Learning Adversarial Attack Cross-Domain Transferability of Adversarial Perturbations CDA NeurIPS'19
Adversarial Machine Learning Adversarial Defense Local Gradients Smoothing: Defense Against Localized Adversarial Attacks LGS WACV'19

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  1. hananshafi/vits-for-small-scale-datasets hananshafi/vits-for-small-scale-datasets Public

    [BMVC 2022] Official repository for "How to Train Vision Transformer on Small-scale Datasets?"

    Python 141 13

  2. IPViT IPViT Public

    Official repository for "Intriguing Properties of Vision Transformers" (NeurIPS 2021--Spotlight)

    Python 176 19

  3. NRP NRP Public

    Official repository for "A Self-supervised Approach for Adversarial Robustness" (CVPR 2020--Oral)

    Python 95 17

  4. ATViT ATViT Public

    Official repository for "On Improving Adversarial Transferability of Vision Transformers" (ICLR 2022--Spotlight)

    Python 69 11

  5. TTP TTP Public

    Official repository for "On Generating Transferable Targeted Perturbations" (ICCV 2021)

    Python 59 9

  6. CDA CDA Public

    Official repository for "Cross-Domain Transferability of Adversarial Perturbations" (NeurIPS 2019)

    Python 57 11