muzammal-naseer,Muzammal Naseer,NaseerMuzammal,github

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: [email protected]
⚡ 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

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