Search Results - "IEEE Conference on Computer Vision and Pattern Recognition"

One millisecond face alignment with an ensemble of regression trees by Kazemi, Vahid, Sullivan, Josephine

“…This paper addresses the problem of Face Alignment for a single image. We show how an ensemble of regression trees can be used to estimate the face's landmark…”
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Bottleneck Transformers for Visual Recognition by Srinivas, Aravind, Lin, Tsung-Yi, Parmar, Niki, Shlens, Jonathon, Abbeel, Pieter, Vaswani, Ashish

“…We present BoTNet, a conceptually simple yet powerful backbone architecture that incorporates self-attention for multiple computer vision tasks including image…”
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DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation by Park, Jeong Joon, Florence, Peter, Straub, Julian, Newcombe, Richard, Lovegrove, Steven

“…Computer graphics, 3D computer vision and robotics communities have produced multiple approaches to representing 3D geometry for rendering and reconstruction…”
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Adaptive Color Attributes for Real-Time Visual Tracking by Danelljan, Martin, Khan, Fahad Shahbaz, Felsberg, Michael, Van De Weijer, Joost

“…Visual tracking is a challenging problem in computer vision. Most state-of-the-art visual trackers either rely on luminance information or use simple color…”
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Deformable ConvNets V2: More Deformable, Better Results by Zhu, Xizhou, Hu, Han, Lin, Stephen, Dai, Jifeng

“…The superior performance of Deformable Convolutional Networks arises from its ability to adapt to the geometric variations of objects. Through an examination…”
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Single-Shot Refinement Neural Network for Object Detection by Zhang, Shifeng, Wen, Longyin, Bian, Xiao, Lei, Zhen, Li, Stan Z.

“…For object detection, the two-stage approach (e.g., Faster R-CNN) has been achieving the highest accuracy, whereas the one-stage approach (e.g., SSD) has the…”
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DenseASPP for Semantic Segmentation in Street Scenes by Yang, Maoke, Yu, Kun, Zhang, Chi, Li, Zhiwei, Yang, Kuiyuan

“…Semantic image segmentation is a basic street scene understanding task in autonomous driving, where each pixel in a high resolution image is categorized into a…”
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Dense Contrastive Learning for Self-Supervised Visual Pre-Training by Wang, Xinlong, Zhang, Rufeng, Shen, Chunhua, Kong, Tao, Li, Lei

“…To date, most existing self-supervised learning methods are designed and optimized for image classification. These pre-trained models can be sub-optimal for…”
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DensePose: Dense Human Pose Estimation in the Wild by Guler, Riza Alp, Neverova, Natalia, Kokkinos, Iasonas

“…In this work we establish dense correspondences between an RGB image and a surface-based representation of the human body, a task we refer to as dense human…”
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Real-Time Seamless Single Shot 6D Object Pose Prediction by Tekin, Bugra, Sinha, Sudipta N., Fua, Pascal

“…We propose a single-shot approach for simultaneously detecting an object in an RGB image and predicting its 6D pose without requiring multiple stages or having…”
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Deformable Siamese Attention Networks for Visual Object Tracking by Yu, Yuechen, Xiong, Yilei, Huang, Weilin, Scott, Matthew R.

“…Siamese-based trackers have achieved excellent performance on visual object tracking. However, the target template is not updated online, and the features of…”
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Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks by Dong, Yinpeng, Pang, Tianyu, Su, Hang, Zhu, Jun

“…Deep neural networks are vulnerable to adversarial examples, which can mislead classifiers by adding imperceptible perturbations. An intriguing property of…”
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Large Kernel Matters - Improve Semantic Segmentation by Global Convolutional Network by Chao Peng, Xiangyu Zhang, Gang Yu, Guiming Luo, Jian Sun

“…One of recent trends [31, 32, 14] in network architecture design is stacking small filters (e.g., 1×1 or 3×3) in the entire network because the stacked small…”
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Mask-Guided Contrastive Attention Model for Person Re-identification by Song, Chunfeng, Huang, Yan, Ouyang, Wanli, Wang, Liang

“…Person Re-identification (ReID) is an important yet challenging task in computer vision. Due to the diverse background clutters, variations on viewpoints and…”
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A Generative Appearance Model for End-To-End Video Object Segmentation by Johnander, Joakim, Danelljan, Martin, Brissman, Emil, Khan, Fahad Shahbaz, Felsberg, Michael

“…One of the fundamental challenges in video object segmentation is to find an effective representation of the target and background appearance. The best…”
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Image Style Transfer Using Convolutional Neural Networks by Gatys, Leon A., Ecker, Alexander S., Bethge, Matthias

“…Rendering the semantic content of an image in different styles is a difficult image processing task. Arguably, a major limiting factor for previous approaches…”
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Google Landmarks Dataset v2 - A Large-Scale Benchmark for Instance-Level Recognition and Retrieval by Weyand, Tobias, Araujo, Andre, Cao, Bingyi, Sim, Jack

“…While image retrieval and instance recognition techniques are progressing rapidly, there is a need for challenging datasets to accurately measure their…”
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Deformable GANs for Pose-Based Human Image Generation by Siarohin, Aliaksandr, Sangineto, Enver, Lathuiliere, Stephane, Sebe, Nicu

“…In this paper we address the problem of generating person images conditioned on a given pose. Specifically, given an image of a person and a target pose, we…”
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Finding Task-Relevant Features for Few-Shot Learning by Category Traversal by Li, Hongyang, Eigen, David, Dodge, Samuel, Zeiler, Matthew, Wang, Xiaogang

“…Few-shot learning is an important area of research. Conceptually, humans are readily able to understand new concepts given just a few examples, while in more…”
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Deep Snake for Real-Time Instance Segmentation by Peng, Sida, Jiang, Wen, Pi, Huaijin, Li, Xiuli, Bao, Hujun, Zhou, Xiaowei

“…This paper introduces a novel contour-based approach named deep snake for real-time instance segmentation. Unlike some recent methods that directly regress the…”
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