98 citations · 257 across the 12 of their papers we have counts for
9 papers · 1 filter
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…
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…
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…