98 citations · 257 across the 12 of their papers we have counts for
12 papers
Self-regulating Prompts: Foundational Model Adaptation without Forgetting
Muhammad Uzair Khattak, Syed Talal Wasim, Muzammal Naseer +3
Prompt learning has emerged as an efficient alternative for fine-tuning foundational models, such as CLIP, for various downstream tasks. Conventionally trained using the task-speci…
Foundational Models Defining a New Era in Vision: A Survey and Outlook
Muhammad Awais, Muzammal Naseer, Salman Khan +5
Vision systems to see and reason about the compositional nature of visual scenes are fundamental to understanding our world. The complex relations between objects and their locatio…
Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation
Asif Hanif, Muzammal Naseer, Salman Khan +2
It is imperative to ensure the robustness of deep learning models in critical applications such as, healthcare. While recent advances in deep learning have improved the performance…
PromptIR: Prompting for All-in-One Blind Image Restoration
Vaishnav Potlapalli, Syed Waqas Zamir, Salman Khan +1
Image restoration involves recovering a high-quality clean image from its degraded version. Deep learning-based methods have significantly improved image restoration performance, h…
Learnable Weight Initialization for Volumetric Medical Image Segmentation
Shahina Kunhimon, Abdelrahman Shaker, Muzammal Naseer +2
Hybrid volumetric medical image segmentation models, combining the advantages of local convolution and global attention, have recently received considerable attention. While mainly…
XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models
Omkar Thawakar, Abdelrahman Shaker, Sahal Shaji Mullappilly +5
The latest breakthroughs in large vision-language models, such as Bard and GPT-4, have showcased extraordinary abilities in performing a wide range of tasks. Such models are traine…
Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection
Long Li, Junwei Han, Ni Zhang +5
Most previous co-salient object detection works mainly focus on extracting co-salient cues via mining the consistency relations across images while ignoring explicit exploration of…
Burstormer: Burst Image Restoration and Enhancement Transformer
Akshay Dudhane, Syed Waqas Zamir, Salman Khan +2
On a shutter press, modern handheld cameras capture multiple images in rapid succession and merge them to generate a single image. However, individual frames in a burst are misalig…
Generative Multiplane Neural Radiance for 3D-Aware Image Generation
Amandeep Kumar, Ankan Kumar Bhunia, Sanath Narayan +5
We present a method to efficiently generate 3D-aware high-resolution images that are view-consistent across multiple target views. The proposed multiplane neural radiance model, na…
LWGNet: Learned Wirtinger Gradients for Fourier Ptychographic Phase Retrieval
Atreyee Saha, Salman S Khan, Sagar Sehrawat +3
Fourier Ptychographic Microscopy (FPM) is an imaging procedure that overcomes the traditional limit on Space-Bandwidth Product (SBP) of conventional microscopes through computation…
On Improving Adversarial Transferability of Vision Transformers
Muzammal Naseer, Kanchana Ranasinghe, Salman Khan +2
Vision transformers (ViTs) process input images as sequences of patches via self-attention; a radically different architecture than convolutional neural networks (CNNs). This makes…
FlatNet: Towards Photorealistic Scene Reconstruction from Lensless Measurements
Salman S. Khan, Varun Sundar, Vivek Boominathan +2
Lensless imaging has emerged as a potential solution towards realizing ultra-miniature cameras by eschewing the bulky lens in a traditional camera. Without a focusing lens, the len…