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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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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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06/06/2023
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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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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04/04/2023
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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03/21/2023
3D Mitochondria Instance Segmentation with Spatio-Temporal Transformers
Accurate 3D mitochondria instance segmentation in electron microscopy (E...
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03/21/2023
LEAPS: End-to-End One-Step Person Search With Learnable Proposals
We propose an end-to-end one-step person search approach with learnable ...
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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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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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08/10/2022
Multi-scale Feature Aggregation for Crowd Counting
Convolutional Neural Network (CNN) based crowd counting methods have ach...
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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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04/07/2022
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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12/09/2021
Spatio-temporal Relation Modeling for Few-shot Action Recognition
We propose a novel few-shot action recognition framework, STRM, which en...
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12/06/2021
DoodleFormer: Creative Sketch Drawing with Transformers
Creative sketching or doodling is an expressive activity, where imaginat...
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07/12/2021
Structured Latent Embeddings for Recognizing Unseen Classes in Unseen Domains
The need to address the scarcity of task-specific annotated data has res...
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04/08/2021
Handwriting Transformers
We propose a novel transformer-based styled handwritten text image gener...
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07/29/2020
SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation
Single-stage instance segmentation approaches have recently gained popul...
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01/25/2020
PSC-Net: Learning Part Spatial Co-occurence for Occluded Pedestrian Detection
Detecting pedestrians, especially under heavy occlusions, is a challengi...
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10/17/2019
Deep Contextual Attention for Human-Object Interaction Detection
Human-object interaction detection is an important and relatively new cl...
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10/14/2019
Mask-Guided Attention Network for Occluded Pedestrian Detection
Pedestrian detection relying on deep convolution neural networks has mad...
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06/05/2017
Binary Patterns Encoded Convolutional Neural Networks for Texture Recognition and Remote Sensing Scene Classification
Designing discriminative powerful texture features robust to realistic i...
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12/14/2016
