Search Results - "2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"

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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DSAC - Differentiable RANSAC for Camera Localization by Brachmann, Eric, Krull, Alexander, Nowozin, Sebastian, Shotton, Jamie, Michel, Frank, Gumhold, Stefan, Rother, Carsten

“…RANSAC is an important algorithm in robust optimization and a central building block for many computer vision applications. In recent years, traditionally…”
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UntrimmedNets for Weakly Supervised Action Recognition and Detection by Wang, Limin, Xiong, Yuanjun, Lin, Dahua, Van Gool, Luc

“…Current action recognition methods heavily rely on trimmed videos for model training. However, it is expensive and time-consuming to acquire a large-scale…”
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Superpixels and Polygons Using Simple Non-iterative Clustering by Achanta, Radhakrishna, Susstrunk, Sabine

“…We present an improved version of the Simple Linear Iterative Clustering (SLIC) superpixel segmentation. Unlike SLIC, our algorithm is non-iterative, enforces…”
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Multi-task Correlation Particle Filter for Robust Object Tracking by Tianzhu Zhang, Changsheng Xu, Ming-Hsuan Yang

“…In this paper, we propose a multi-task correlation particle filter (MCPF) for robust visual tracking. We first present the multi-task correlation filter (MCF)…”
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A Joint Speaker-Listener-Reinforcer Model for Referring Expressions by Licheng Yu, Hao Tan, Bansal, Mohit, Berg, Tamara L.

“…Referring expressions are natural language constructions used to identify particular objects within a scene. In this paper, we propose a unified framework for…”
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Level Playing Field for Million Scale Face Recognition by Nech, Aaron, Kemelmacher-Shlizerman, Ira

“…Face recognition has the perception of a solved problem, however when tested at the million-scale exhibits dramatic variation in accuracies across the…”
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A Novel Tensor-Based Video Rain Streaks Removal Approach via Utilizing Discriminatively Intrinsic Priors by Tai-Xiang Jiang, Ting-Zhu Huang, Xi-Le Zhao, Liang-Jian Deng, Yao Wang

“…Rain streaks removal is an important issue of the outdoor vision system and has been recently investigated extensively. In this paper, we propose a novel…”
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Human Shape from Silhouettes Using Generative HKS Descriptors and Cross-Modal Neural Networks by Dibra, Endri, Jain, Himanshu, Oztireli, Cengiz, Ziegler, Remo, Gross, Markus

“…In this work, we present a novel method for capturing human body shape from a single scaled silhouette. We combine deep correlated features capturing different…”
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Densely Connected Convolutional Networks by Huang, Gao, Liu, Zhuang, Van Der Maaten, Laurens, Weinberger, Kilian Q.

“…Recent work has shown that convolutional networks can be substantially deeper, more accurate, and efficient to train if they contain shorter connections…”
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Feature Pyramid Networks for Object Detection by Tsung-Yi Lin, Dollar, Piotr, Girshick, Ross, Kaiming He, Hariharan, Bharath, Belongie, Serge

“…Feature pyramids are a basic component in recognition systems for detecting objects at different scales. But pyramid representations have been avoided in…”
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Image-to-Image Translation with Conditional Adversarial Networks by Isola, Phillip, Jun-Yan Zhu, Tinghui Zhou, Efros, Alexei A.

“…We investigate conditional adversarial networks as a general-purpose solution to image-to-image translation problems. These networks not only learn the mapping…”
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YOLO9000: Better, Faster, Stronger by Redmon, Joseph, Farhadi, Ali

“…We introduce YOLO9000, a state-of-the-art, real-time object detection system that can detect over 9000 object categories. First we propose various improvements…”
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Xception: Deep Learning with Depthwise Separable Convolutions by Chollet, Francois

“…We present an interpretation of Inception modules in convolutional neural networks as being an intermediate step in-between regular convolution and the…”
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Pyramid Scene Parsing Network by Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, Jiaya Jia

“…Scene parsing is challenging for unrestricted open vocabulary and diverse scenes. In this paper, we exploit the capability of global context information by…”
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Shape Completion Using 3D-Encoder-Predictor CNNs and Shape Synthesis by Dai, Angela, Qi, Charles Ruizhongtai, NieBner, Matthias

“…We introduce a data-driven approach to complete partial 3D shapes through a combination of volumetric deep neural networks and 3D shape synthesis. From a…”
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Realtime Multi-person 2D Pose Estimation Using Part Affinity Fields by Zhe Cao, Simon, Tomas, Shih-En Wei, Sheikh, Yaser

“…We present an approach to efficiently detect the 2D pose of multiple people in an image. The approach uses a nonparametric representation, which we refer to as…”
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iCaRL: Incremental Classifier and Representation Learning by Rebuffi, Sylvestre-Alvise, Kolesnikov, Alexander, Sperl, Georg, Lampert, Christoph H.

“…A major open problem on the road to artificial intelligence is the development of incrementally learning systems that learn about more and more concepts over…”
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Adversarial Discriminative Domain Adaptation by Tzeng, Eric, Hoffman, Judy, Saenko, Kate, Darrell, Trevor

“…Adversarial learning methods are a promising approach to training robust deep networks, and can generate complex samples across diverse domains. They can also…”
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PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation by Charles, R. Qi, Hao Su, Mo Kaichun, Guibas, Leonidas J.

“…Point cloud is an important type of geometric data structure. Due to its irregular format, most researchers transform such data to regular 3D voxel grids or…”
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