Aggregating local descriptors into a compact image representation; Secrets of optical flow estimation and their principles; Learning mid-level features for recognition; New features and insights for pedestrian detection
Top Cited Papers: CVPR 2007
Learning to Detect A Salient Object; Saliency Detection: A Spectral Residual Approach; Hierarchical Matching of Deformable Shapes; Learning Local Image Descriptors; Semantic Hierarchies for Visual Object Recognition
Top Cited Papers: CVPR 2015
Learning to compare image patches via convolutional neural networks； Going deeper with convolutions
Top Cited Papers: CVPR 2012
Three things everyone should know to improve object retrieval; Image denoising: Can plain neural networks compete with BM3D?; FREAK: Fast Retina Keypoint
Most Popular Papers: CVPR
Full of familiar names: ResNet, ImageNet, YOLO, GoogLeNet, HoG, R-CNN, FCN, KITTI, FaceNet, FPN, Pix2pix, SENet, Xception, MobileNet, SRGAN, SRCNN, Sub-Pixel Conv, ResNeXt, EfficientDet, Dark Channel, ….
Top Cited Papers: CVPR 2018
Squeeze-and-Excitation Networks; MobileNetV2: Inverted Residuals and Linear Bottlenecks; Learning Transferable Architectures for Scalable Image Recognition
Top Cited Papers: CVPR 2009
Learning to detect unseen object classes by between-class attribute transfer; Recognizing realistic actions from videos “in the wild”; Understanding and evaluating blind deconvolution algorithms; From contours to regions: An empirical evaluation; Geometric reasoning for single image structure recovery; Nonparametric scene parsing: Label transfer via dense scene alignment; Describing objects by their attributes; Picking the best DAISY
Top Cited Papers: CVPR 2008
A discriminatively trained, multiscale, deformable part model; In defense of Nearest-Neighbor based image classification; Unsupervised discovery of visual object class hierarchies; Object categorization using co-occurrence, location and appearance