Fahad Shahbaz Khan

research

∙ 09/19/2023

Unsupervised Landmark Discovery Using Consistency Guided Bottleneck

We study a challenging problem of unsupervised discovery of object landm...

0 Mamona Awan, et al. ∙

research

∙ 09/09/2023

A Spatial-Temporal Deformable Attention based Framework for Breast Lesion Detection in Videos

Detecting breast lesion in videos is crucial for computer-aided diagnosi...

0 Chao Qin, et al. ∙

research

∙ 08/30/2023

Improving Underwater Visual Tracking With a Large Scale Dataset and Image Enhancement

This paper presents a new dataset and general tracker enhancement method...

0 Basit Alawode, et al. ∙

research

∙ 07/27/2023

How Good is Google Bard's Visual Understanding? An Empirical Study on Open Challenges

Google's Bard has emerged as a formidable competitor to OpenAI's ChatGPT...

0 Haotong Qin, et al. ∙

research

∙ 07/14/2023

Frequency Domain Adversarial Training for Robust Volumetric Medical Segmentation

It is imperative to ensure the robustness of deep learning models in cri...

0 Asif Hanif, et al. ∙

research

∙ 07/13/2023

Video-FocalNets: Spatio-Temporal Focal Modulation for Video Action Recognition

Recent video recognition models utilize Transformer models for long-rang...

0 Syed Talal Wasim, et al. ∙

research

∙ 06/22/2023

PromptIR: Prompting for All-in-One Blind Image Restoration

Image restoration involves recovering a high-quality clean image from it...

0 Vaishnav Potlapalli, et al. ∙

research

∙ 06/21/2023

Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors

We propose an efficient abnormal event detection model based on a lightw...

0 Nicolae-Catalin Ristea, et al. ∙

research

∙ 06/15/2023

Learnable Weight Initialization for Volumetric Medical Image Segmentation

Hybrid volumetric medical image segmentation models, combining the advan...

0 Shahina Kunhimon, et al. ∙

research

∙ 06/13/2023

XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models

The latest breakthroughs in large vision-language models, such as Bard a...

9 Omkar Thawkar, et al. ∙

research

∙ 06/08/2023

Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models

Conversation agents fueled by Large Language Models (LLMs) are providing...

0 Muhammad Maaz, et al. ∙

research

∙ 06/06/2023

DFormer: Diffusion-guided Transformer for Universal Image Segmentation

This paper introduces an approach, named DFormer, for universal image se...

0 Hefeng Wang, et al. ∙

research

∙ 05/26/2023

Modulate Your Spectrum in Self-Supervised Learning

Whitening loss provides theoretical guarantee in avoiding feature collap...

0 Xi Weng, et al. ∙

research

∙ 05/11/2023

Salient Mask-Guided Vision Transformer for Fine-Grained Classification

Fine-grained visual classification (FGVC) is a challenging computer visi...

0 Dmitry Demidov, et al. ∙

research

∙ 04/30/2023

Discriminative Co-Saliency and Background Mining Transformer for Co-Salient Object Detection

Most previous co-salient object detection works mainly focus on extracti...

1 Long Li, et al. ∙

research

∙ 04/13/2023

Remote Sensing Change Detection With Transformers Trained from Scratch

Current transformer-based change detection (CD) approaches either employ...

5 Mubashir Noman, et al. ∙

research

∙ 04/13/2023

Gated Multi-Resolution Transfer Network for Burst Restoration and Enhancement

Burst image processing is becoming increasingly popular in recent years....

0 Nancy Mehta, et al. ∙

research

∙ 04/06/2023

Vita-CLIP: Video and text adaptive CLIP via Multimodal Prompting

Adopting contrastive image-text pretrained models like CLIP towards vide...

0 Syed Talal Wasim, et al. ∙

research

∙ 04/04/2023

Cross-modulated Few-shot Image Generation for Colorectal Tissue Classification

In this work, we propose a few-shot colorectal tissue image generation m...

8 Amandeep Kumar, et al. ∙

research

∙ 04/03/2023

Video Instance Segmentation in an Open-World

Existing video instance segmentation (VIS) approaches generally follow a...

0 Omkar Thawakar, et al. ∙

research

∙ 03/28/2023

StyleDiffusion: Prompt-Embedding Inversion for Text-Based Editing

A significant research effort is focused on exploiting the amazing capac...

0 Senmao Li, et al. ∙

research

∙ 03/27/2023

3D-Aware Multi-Class Image-to-Image Translation with NeRFs

Recent advances in 3D-aware generative models (3D-aware GANs) combined w...

0 Senmao Li, et al. ∙

research

∙ 03/25/2023

Bridging Precision and Confidence: A Train-Time Loss for Calibrating Object Detection

Deep neural networks (DNNs) have enabled astounding progress in several ...

0 Muhammad Akhtar Munir, et al. ∙

research

∙ 03/21/2023

3D Mitochondria Instance Segmentation with Spatio-Temporal Transformers

Accurate 3D mitochondria instance segmentation in electron microscopy (E...

0 Omkar Thawakar, et al. ∙

research

∙ 12/30/2022

Guidance Through Surrogate: Towards a Generic Diagnostic Attack

Adversarial training is an effective approach to make deep neural networ...

0 Muzammal Naseer, et al. ∙

research

∙ 12/06/2022

Fine-tuned CLIP Models are Efficient Video Learners

Large-scale multi-modal training with image-text pairs imparts strong ge...

0 Hanoona Rasheed, et al. ∙

research

∙ 11/28/2022

Lightning Fast Video Anomaly Detection via Adversarial Knowledge Distillation

We propose a very fast frame-level model for anomaly detection in video,...

0 Nicolae-Catalin Ristea, et al. ∙

research

∙ 11/22/2022

Person Image Synthesis via Denoising Diffusion Model

The pose-guided person image generation task requires synthesizing photo...

0 Ankan Kumar Bhunia, et al. ∙

research

∙ 10/07/2022

An Investigation into Whitening Loss for Self-supervised Learning

A desirable objective in self-supervised learning (SSL) is to avoid feat...

8 Xi Weng, et al. ∙

research

∙ 10/07/2022

PS-ARM: An End-to-End Attention-aware Relation Mixer Network for Person Search

Person search is a challenging problem with various real-world applicati...

7 Mustansar Fiaz, et al. ∙

research

∙ 10/06/2022

MaPLe: Multi-modal Prompt Learning

Pre-trained vision-language (V-L) models such as CLIP have shown excelle...

3 Muhammad Uzair Khattak, et al. ∙

research

∙ 09/25/2022

Self-Supervised Masked Convolutional Transformer Block for Anomaly Detection

Anomaly detection has recently gained increasing attention in the field ...

54 Neelu Madan, et al. ∙

research

∙ 09/13/2022

CMR3D: Contextualized Multi-Stage Refinement for 3D Object Detection

Existing deep learning-based 3D object detectors typically rely on the a...

13 Dhanalaxmi Gaddam, et al. ∙

research

∙ 09/02/2022

Transformers in Remote Sensing: A Survey

Deep learning-based algorithms have seen a massive popularity in differe...

2 Abdulaziz Amer Aleissaee, et al. ∙

research

∙ 08/14/2022

AVisT: A Benchmark for Visual Object Tracking in Adverse Visibility

One of the key factors behind the recent success in visual tracking is t...

5 Mubashir Noman, et al. ∙

research

∙ 08/10/2022

Multi-scale Feature Aggregation for Crowd Counting

Convolutional Neural Network (CNN) based crowd counting methods have ach...

2 Xiaoheng Jiang, et al. ∙

research

∙ 07/25/2022

Self-Distilled Vision Transformer for Domain Generalization

In recent past, several domain generalization (DG) methods have been pro...

3 Maryam Sultana, et al. ∙

research

∙ 07/18/2022

Adversarial Pixel Restoration as a Pretext Task for Transferable Perturbations

Transferable adversarial attacks optimize adversaries from a pretrained ...

3 Hashmat Shadab Malik, et al. ∙

research

∙ 07/16/2022

SSMTL++: Revisiting Self-Supervised Multi-Task Learning for Video Anomaly Detection

A self-supervised multi-task learning (SSMTL) framework for video anomal...

0 Antonio Barbalau, et al. ∙

research

∙ 07/07/2022

Bridging the Gap between Object and Image-level Representations for Open-Vocabulary Detection

Existing open-vocabulary object detectors typically enlarge their vocabu...

8 Hanoona Rasheed, et al. ∙

research

∙ 07/05/2022

OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning

Semi-supervised learning (SSL) is one of the dominant approaches to addr...

10 Mamshad Nayeem Rizve, et al. ∙

research

∙ 06/21/2022

EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications

In the pursuit of achieving ever-increasing accuracy, large and complex ...

18 Muhammad Maaz, et al. ∙

research

∙ 04/22/2022

Self-Supervised Video Object Segmentation via Cutout Prediction and Tagging

We propose a novel self-supervised Video Object Segmentation (VOS) appro...

0 jyoti-kini, et al. ∙

research

∙ 04/08/2022

Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-Resolution

Super-resolving medical images can help physicians in providing more acc...

0 Mariana-Iuliana Georgescu, et al. ∙

research

∙ 04/07/2022

PSTR: End-to-End One-Step Person Search With Transformers

We propose a novel one-step transformer-based person search framework, P...

2 Jiale Cao, et al. ∙

research

∙ 03/28/2022

Energy-based Latent Aligner for Incremental Learning

Deep learning models tend to forget their earlier knowledge while increm...

8 K J Joseph, et al. ∙

research

∙ 03/24/2022

Video Instance Segmentation via Multi-scale Spatio-temporal Split Attention Transformer

State-of-the-art transformer-based video instance segmentation (VIS) app...

9 Omkar Thawakar, et al. ∙

research

∙ 03/17/2022

SepTr: Separable Transformer for Audio Spectrogram Processing

Following the successful application of vision transformers in multiple ...

0 Nicolae-Catalin Ristea, et al. ∙

research

∙ 01/24/2022

Transformers in Medical Imaging: A Survey

Following unprecedented success on the natural language tasks, Transform...

36 Fahad Shamshad, et al. ∙

research

∙ 12/09/2021

Spatio-temporal Relation Modeling for Few-shot Action Recognition

We propose a novel few-shot action recognition framework, STRM, which en...

6 Anirudh Thatipelli, et al. ∙

Fahad Shahbaz Khan

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