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Muzammal-Naseer/README.md

Hi there 👋

  • 🔭 My research interests are robust visual perception by understanding and explaining AI behavior through adversarial machine learning, temporal perception, representation learning (self-supervision, self-distillation, self-critique), and configuring the role of language models (LLMs) in building visual AI systems.
  • 🌱 You are welcome to explore my research work along with the provided code below. Seven of the papers are accepted as Oral/Spotlight at ICLR, NeurIPS, AAAI, CVPR, BMVC, and ACCV.
  • 📫 How to reach me: muz.pak@gmail.com
  • ⚡ Fun fact: I am really into fitness and thinking of joining the GYM for quite some time now 😄

🌱 Repositories

Topic Application Paper Repo Venue
Vision-Language Learning Composed Video Retrieval Composed Video Retrieval via Enriched Context and Discriminative Embeddings composed-video-retrieval CVPR'24
Self-supervision Multi-Spectral Satellite Imagery Rethinking Transformers Pre-training for Multi-Spectral Satellite Imagery satmae_pp CVPR'24
Vision-Language Learning Video grounding Video-GroundingDINO: Towards Open-Vocabulary Spatio-Temporal Video Grounding Video-GroundingDINO CVPR'24
Vision-Language Learning Language Driven VLM for Remote Sensing Geochat: Grounded large vision-language model for remote sensing GeoChat CVPR'24
Vision-Language Learning Leaverging LLM to generate complex scenes (Zero-Shot) LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts llmblueprint ICLR'24
Self-supervision Self-structural Alignment of Foundational Models (Zero-Shot) Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment S3A AAAI'24-Oral
Vision-Language Learning 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 Learning Regulating Foundational Models Self-regulating Prompts: Foundational Model Adaptation without Forgetting PromptSRC ICCV'23
Network Engineering Video Recognition Video-FocalNets: Spatio-Temporal Focal Modulation for Video Action Recognition Video-FocalNets ICCV'23
Vision-Language Learning Face Anti-spoofing FLIP: Cross-domain Face Anti-spoofing with Language Guidance FLIP ICCV'23
3D Medical Segmentation Adversarial Training Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation VAFA MICCAI'23
Vision-Language Learning Facial Privacy CLIP2Protect: Protecting Facial Privacy Using Text-Guided Makeup via Adversarial Latent Search Clip2Protect CVPR'23
Vision-Language Learning Video Recognition (Zero-shot) Vita-CLIP: Video and text adaptive CLIP via Multimodal Prompting Vita-CLIP CVPR'23
Prompt learning Image Recognition (Category Discovery) PromptCAL for Generalized Novel Category Discovery PromptCAL CVPR'23
Prompt learning Adversarial Attack Boosting Adversarial Transferability using Dynamic Cues DCViT-AT ICLR'23
Self-supervision Video Recognition Self-Supervised Video Transformer SVT CVPR'22-Oral
Contrastive learning Adversarial Defense Stylized Adversarial Training SAT IEEE-TPAMI'22
Self-supervision Adversarial Attack Adversarial Pixel Restoration as a Pretext Task for Transferable Perturbations ARP BMVC'22-Oral
Self-supervision Image Recognition How to Train Vision Transformer on Small-scale Datasets? VSSD BMVC'22
Self-distillation Image Recognition (Domain Generalization) Self-Distilled Vision Transformer for Domain Generalization SDViT ACCV'22-Oral
Attention Analysis Understanding Vision Transformer Intriguing Properties of Vision Transformers IPViT NeurIPS'21-Spotlight
Self-ensemble Adversarial Attack On Improving Adversarial Transferability of Vision Transformers ATViT ICLR'21-Spotlight
Distribution matching Adversarial Attack On Generating Transferable Targeted Perturbations TTP ICCV'21
Contrastive learning Image Recognition Orthogonal Projection Loss OPL ICCV'21
Self-supervision Adversarial Defense A Self-supervised Approach for Adversarial Robustness NRP CVPR'20-Oral
Relativistic optimization Adversarial Attack Cross-Domain Transferability of Adversarial Perturbations CDA NeurIPS'19
Gradient Smoothing Adversarial Defense Local Gradients Smoothing: Defense Against Localized Adversarial Attacks LGS WACV'19

Pinned

  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 130 12

  2. IPViT IPViT Public

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

    Python 173 19

  3. NRP NRP Public

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

    Python 89 17

  4. ATViT ATViT Public

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

    Python 67 11

  5. TTP TTP Public

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

    Python 61 9

  6. CDA CDA Public

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

    Python 57 11