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09/19/2023
Unsupervised Landmark Discovery Using Consistency Guided Bottleneck
We study a challenging problem of unsupervised discovery of object landm...
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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...
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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...
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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...
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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...
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07/13/2023
Video-FocalNets: Spatio-Temporal Focal Modulation for Video Action Recognition
Recent video recognition models utilize Transformer models for long-rang...
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06/22/2023
PromptIR: Prompting for All-in-One Blind Image Restoration
Image restoration involves recovering a high-quality clean image from it...
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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...
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06/15/2023
Learnable Weight Initialization for Volumetric Medical Image Segmentation
Hybrid volumetric medical image segmentation models, combining the advan...
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06/13/2023
XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models
The latest breakthroughs in large vision-language models, such as Bard a...
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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...
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06/06/2023
DFormer: Diffusion-guided Transformer for Universal Image Segmentation
This paper introduces an approach, named DFormer, for universal image se...
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05/26/2023
Modulate Your Spectrum in Self-Supervised Learning
Whitening loss provides theoretical guarantee in avoiding feature collap...
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05/11/2023
Salient Mask-Guided Vision Transformer for Fine-Grained Classification
Fine-grained visual classification (FGVC) is a challenging computer visi...
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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...
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04/13/2023
Remote Sensing Change Detection With Transformers Trained from Scratch
Current transformer-based change detection (CD) approaches either employ...
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04/13/2023
Gated Multi-Resolution Transfer Network for Burst Restoration and Enhancement
Burst image processing is becoming increasingly popular in recent years....
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04/06/2023
Vita-CLIP: Video and text adaptive CLIP via Multimodal Prompting
Adopting contrastive image-text pretrained models like CLIP towards vide...
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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...
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04/03/2023
Video Instance Segmentation in an Open-World
Existing video instance segmentation (VIS) approaches generally follow a...
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03/28/2023
StyleDiffusion: Prompt-Embedding Inversion for Text-Based Editing
A significant research effort is focused on exploiting the amazing capac...
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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...
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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 ...
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03/21/2023
3D Mitochondria Instance Segmentation with Spatio-Temporal Transformers
Accurate 3D mitochondria instance segmentation in electron microscopy (E...
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12/30/2022
Guidance Through Surrogate: Towards a Generic Diagnostic Attack
Adversarial training is an effective approach to make deep neural networ...
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12/06/2022
Fine-tuned CLIP Models are Efficient Video Learners
Large-scale multi-modal training with image-text pairs imparts strong ge...
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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,...
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11/22/2022
Person Image Synthesis via Denoising Diffusion Model
The pose-guided person image generation task requires synthesizing photo...
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10/07/2022
An Investigation into Whitening Loss for Self-supervised Learning
A desirable objective in self-supervised learning (SSL) is to avoid feat...
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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...
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10/06/2022
MaPLe: Multi-modal Prompt Learning
Pre-trained vision-language (V-L) models such as CLIP have shown excelle...
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09/25/2022
Self-Supervised Masked Convolutional Transformer Block for Anomaly Detection
Anomaly detection has recently gained increasing attention in the field ...
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09/13/2022
CMR3D: Contextualized Multi-Stage Refinement for 3D Object Detection
Existing deep learning-based 3D object detectors typically rely on the a...
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09/02/2022
Transformers in Remote Sensing: A Survey
Deep learning-based algorithms have seen a massive popularity in differe...
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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...
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08/10/2022
Multi-scale Feature Aggregation for Crowd Counting
Convolutional Neural Network (CNN) based crowd counting methods have ach...
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07/25/2022
Self-Distilled Vision Transformer for Domain Generalization
In recent past, several domain generalization (DG) methods have been pro...
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07/18/2022
Adversarial Pixel Restoration as a Pretext Task for Transferable Perturbations
Transferable adversarial attacks optimize adversaries from a pretrained ...
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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...
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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...
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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...
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06/21/2022
EdgeNeXt: Efficiently Amalgamated CNN-Transformer Architecture for Mobile Vision Applications
In the pursuit of achieving ever-increasing accuracy, large and complex ...
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04/22/2022
Self-Supervised Video Object Segmentation via Cutout Prediction and Tagging
We propose a novel self-supervised Video Object Segmentation (VOS) appro...
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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...
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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...
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03/28/2022
Energy-based Latent Aligner for Incremental Learning
Deep learning models tend to forget their earlier knowledge while increm...
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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...
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03/17/2022
SepTr: Separable Transformer for Audio Spectrogram Processing
Following the successful application of vision transformers in multiple ...
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01/24/2022
Transformers in Medical Imaging: A Survey
Following unprecedented success on the natural language tasks, Transform...
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12/09/2021
