Title |
|---|
 Improved Transformer for High-Resolution GANsNeural Information Processing Systems (NeurIPS), 2021 |
 DS-TransUNet:Dual Swin Transformer U-Net for Medical Image SegmentationIEEE Transactions on Instrumentation and Measurement (IEEE Trans. Instrum. Meas.), 2021 |
 Video Instance Segmentation using Inter-Frame Communication TransformersNeural Information Processing Systems (NeurIPS), 2021 |
 Combinatorial Optimization for Panoptic Segmentation: A Fully
Differentiable ApproachNeural Information Processing Systems (NeurIPS), 2021 |
 Glance-and-Gaze Vision TransformerNeural Information Processing Systems (NeurIPS), 2021 |
 SegFormer: Simple and Efficient Design for Semantic Segmentation with
TransformersNeural Information Processing Systems (NeurIPS), 2021 |
 A Multi-Branch Hybrid Transformer Networkfor Corneal Endothelial Cell
SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021 |
 Exemplar-Based Open-Set Panoptic Segmentation NetworkComputer Vision and Pattern Recognition (CVPR), 2021 |
 Segmenter: Transformer for Semantic SegmentationIEEE International Conference on Computer Vision (ICCV), 2021 |
 Attention-based Stylisation for Exemplar Image ColourisationIEEE International Workshop on Multimedia Signal Processing (MMSP), 2021 |
 High-Resolution Optical Flow from 1D Attention and CorrelationIEEE International Conference on Computer Vision (ICCV), 2021 |
 A Novel Transformer Based Semantic Segmentation Scheme for
Fine-Resolution Remote Sensing ImagesIEEE Geoscience and Remote Sensing Letters (GRSL), 2021 |
 Multiple Object Tracking with Correlation LearningComputer Vision and Pattern Recognition (CVPR), 2021 |
 LoFTR: Detector-Free Local Feature Matching with TransformersComputer Vision and Pattern Recognition (CVPR), 2021 |
 FANet: A Feedback Attention Network for Improved Biomedical Image
SegmentationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021 Nikhil Kumar Tomar Debesh Jha Michael A. Riegler Haavard D. Johansen Dag Johansen J. Rittscher Pål Halvorsen Sharib Ali |
 On the Robustness of Vision Transformers to Adversarial ExamplesIEEE International Conference on Computer Vision (ICCV), 2021 |
 Rethinking Spatial Dimensions of Vision TransformersIEEE International Conference on Computer Vision (ICCV), 2021 |
 Vision Transformers for Dense PredictionIEEE International Conference on Computer Vision (ICCV), 2021 |
 Scaling Local Self-Attention for Parameter Efficient Visual BackbonesComputer Vision and Pattern Recognition (CVPR), 2021 |
 Transformer-Based Attention Networks for Continuous Pixel-Wise
PredictionIEEE International Conference on Computer Vision (ICCV), 2021 |
 Incorporating Convolution Designs into Visual TransformersIEEE International Conference on Computer Vision (ICCV), 2021 |
 Cross-Dataset Collaborative Learning for Semantic Segmentation in
Autonomous DrivingAAAI Conference on Artificial Intelligence (AAAI), 2021 |
 Scalable Vision Transformers with Hierarchical PoolingIEEE International Conference on Computer Vision (ICCV), 2021 |
 Unknown Object Segmentation from Stereo ImagesIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021 |
 Involution: Inverting the Inherence of Convolution for Visual
RecognitionComputer Vision and Pattern Recognition (CVPR), 2021 |
 Capturing Omni-Range Context for Omnidirectional SegmentationComputer Vision and Pattern Recognition (CVPR), 2021 |
 Perceiver: General Perception with Iterative AttentionInternational Conference on Machine Learning (ICML), 2021 |
 Coordinate Attention for Efficient Mobile Network DesignComputer Vision and Pattern Recognition (CVPR), 2021 |
 Convolution-Free Medical Image Segmentation using TransformersInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021 |
 Medical Transformer: Gated Axial-Attention for Medical Image
SegmentationInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021 |
 LambdaNetworks: Modeling Long-Range Interactions Without AttentionInternational Conference on Learning Representations (ICLR), 2021 |
 Is Space-Time Attention All You Need for Video Understanding?International Conference on Machine Learning (ICML), 2021 |
 Colorization TransformerInternational Conference on Learning Representations (ICLR), 2021 |
 Instance and Panoptic Segmentation Using Conditional ConvolutionsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 |
 Bottleneck Transformers for Visual RecognitionComputer Vision and Pattern Recognition (CVPR), 2021 |
 Transformers in Vision: A SurveyACM Computing Surveys (CSUR), 2021 |
