← Authors

Munawar Hayat

42 papers · 2014–2025 · 6 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (6) πŸƒ Academic Marathon (11) 🐝 Cross-Pollinator (10) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (100) 🏠 Conference Loyalist (23) 🀝 Dynamic Duo (11) 🧬 Topic Evolution πŸ’Ž Century Club (42) ⚑ Prolific Year (5) πŸ—ƒοΈ Keyword Collector (194) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (7)

Conferences

CVPR (23) ICCV (12) NIPS (3) WACV (2) AAAI (1) ECCV (1)

Top co-authors

Fahad Shahbaz Khan (11) Salman Khan (11) Fatih Porikli (10) Ling Shao (8) Syed Waqas Zamir (6) Ming-Hsuan Yang (6) Yinjie Lei (5) Hamid Rezatofighi (4) Zhao Jin (4) Mehrtash Harandi (4)

Research topics

Differential Privacy (1) Privacy (1)

Keywords

semantic segmentation (6) generative model (5) representation learning (5) knowledge distillation (5) point cloud (4) domain adaptation (4) convolutional neural network (4) few-shot learning (4) self-supervised learning (4) catastrophic forgetting (3) vision transformer (3) image restoration (3) image denoising (3) low-rank adaptation (3) semi-supervised learning (3) zero-shot learning (2) 3d vision (2) face recognition (2) incremental learning (2) unsupervised learning (2)

Papers

Erasing Undesirable Influence in Diffusion Models CVPR 2025
ConsNoTrainLoRA: Data-driven Weight Initialization of Low-rank Adapters using Constraints ICCV 2025
HyperNet Fields: Efficiently Training Hypernetworks without Ground Truth by Learning Weight Trajectories CVPR 2025
CustomKD: Customizing Large Vision Foundation for Edge Model Improvement via Knowledge Distillation CVPR 2025
Tripartite Weight-Space Ensemble for Few-Shot Class-Incremental Learning CVPR 2025
Understanding Personal Concept in Open-Vocabulary Semantic Segmentation ICCV 2025
DuoLoRA : Cycle-consistent and Rank-disentangled Content-Style Personalization ICCV 2025
FouRA: Fourier Low-Rank Adaptation NIPS 2024
Concealing Sensitive Samples against Gradient Leakage in Federated Learning AAAI 2024
OCAI: Improving Optical Flow Estimation by Occlusion and Consistency Aware Interpolation CVPR 2024
LAVA: Label-Efficient Visual Learning and Adaptation WACV 2023
ProtoCon: Pseudo-Label Refinement via Online Clustering and Prototypical Consistency for Efficient Semi-Supervised Learning CVPR 2023
MARLIN: Masked Autoencoder for Facial Video Representation LearnINg CVPR 2023
Geometry and Uncertainty-Aware 3D Point Cloud Class-Incremental Semantic Segmentation CVPR 2023
Context-Aware Alignment and Mutual Masking for 3D-Language Pre-Training CVPR 2023
Transformer Scale Gate for Semantic Segmentation CVPR 2023
Zero-Shot Point Cloud Segmentation by Semantic-Visual Aware Synthesis ICCV 2023
Energy-based Self-Training and Normalization for Unsupervised Domain Adaptation ICCV 2023
ProposalCLIP: Unsupervised Open-Category Object Proposal Generation via Exploiting CLIP Cues CVPR 2022
MTGLS: Multi-Task Gaze Estimation With Limited Supervision WACV 2022
Semantic-Aware Domain Generalized Segmentation CVPR 2022
Restormer: Efficient Transformer for High-Resolution Image Restoration CVPR 2022
Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point Clouds CVPR 2022
Towards Robust and Reproducible Active Learning Using Neural Networks CVPR 2022
Orthogonal Projection Loss ICCV 2021
D2-Net: Weakly-Supervised Action Localization via Discriminative Embeddings and Denoised Activations ICCV 2021
Multi-Stage Progressive Image Restoration CVPR 2021
Intriguing Properties of Vision Transformers NIPS 2021
On Generating Transferable Targeted Perturbations ICCV 2021
A Self-supervised Approach for Adversarial Robustness CVPR 2020
iTAML: An Incremental Task-Agnostic Meta-learning Approach CVPR 2020
Learning Enriched Features for Real Image Restoration and Enhancement ECCV 2020
CycleISP: Real Image Restoration via Improved Data Synthesis CVPR 2020
Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks ICCV 2019
Unsupervised Primitive Discovery for Improved 3D Generative Modeling CVPR 2019
Striking the Right Balance With Uncertainty CVPR 2019
Random Path Selection for Continual Learning NIPS 2019
Gaussian Affinity for Max-Margin Class Imbalanced Learning ICCV 2019
Scene Categorization With Spectral Features ICCV 2017
Joint Registration and Representation Learning for Unconstrained Face Identification CVPR 2017
Contractive Rectifier Networks for Nonlinear Maximum Margin Classification ICCV 2015
Learning Non-Linear Reconstruction Models for Image Set Classification CVPR 2014