CVPR 2017论文

2023-11-09

近期在看CVPR2017的文章,顺便就把CVPR2017整理一下,分享给大家,更多的 Computer Vision的文章可以访问Computer Vision Foundation open accessCVPapers

Machine Learning 1

Spotlight 1-1A

Exclusivity-Consistency Regularized Multi-View Subspace Clustering
Xiaojie Guo, Xiaobo Wang, Zhen Lei, Changqing Zhang, Stan Z. Li
Borrowing Treasures From the Wealthy: Deep Transfer Learning Through Selective Joint Fine-Tuning
Weifeng Ge, Yizhou Yu
The More You Know: Using Knowledge Graphs for Image Classification
Kenneth Marino, Ruslan Salakhutdinov, Abhinav Gupta
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs
Martin Simonovsky, Nikos Komodakis
Convolutional Neural Network Architecture for Geometric Matching
Ignacio Rocco, Relja Arandjelović, Josef Sivic
Deep Affordance-Grounded Sensorimotor Object Recognition
Spyridon Thermos, Georgios Th. Papadopoulos, Petros Daras, Gerasimos Potamianos
Discovering Causal Signals in Images
David Lopez-Paz, Robert Nishihara, Soumith Chintala, Bernhard Schölkopf, Léon Bottou
On Compressing Deep Models by Low Rank and Sparse Decomposition
Xiyu Yu, Tongliang Liu, Xinchao Wang, Dacheng Tao

Oral 1-1A

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Charles R. Qi, Hao Su, Kaichun Mo, Leonidas J. Guibas
Universal Adversarial Perturbations
Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Omar Fawzi, Pascal Frossard
Unsupervised Pixel-Level Domain Adaptation With Generative Adversarial Networks
Konstantinos Bousmalis, Nathan Silberman, David Dohan, Dumitru Erhan, Dilip Krishnan
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network (PDF, code)
Christian Ledig, Lucas Theis, Ferenc Huszár, Jose Caballero, Andrew Cunningham, Alejandro Acosta, Andrew Aitken, Alykhan Tejani, Johannes Totz, Zehan Wang, Wenzhe Shi

3D Vision 1

Spotlight 1-1B

Context-Aware Captions From Context-Agnostic Supervision
Ramakrishna Vedantam, Samy Bengio, Kevin Murphy, Devi Parikh, Gal Chechik
Global Hypothesis Generation for 6D Object Pose Estimation (PDF)
Frank Michel, Alexander Kirillov, Eric Brachmann, Alexander Krull, Stefan Gumhold, Bogdan Savchynskyy, Carsten Rother
A Practical Method for Fully Automatic Intrinsic Camera Calibration Using Directionally Encoded Light
Mahdi Abbaspour Tehrani, Thabo Beeler, Anselm Grundhöfer
CATS: A Color and Thermal Stereo Benchmark
Wayne Treible, Philip Saponaro, Scott Sorensen, Abhishek Kolagunda, Michael O’Neal, Brian Phelan, Kelly Sherbondy, Chandra Kambhamettu
Elastic Shape-From-Template With Spatially Sparse Deforming Forces
Abed Malti, Cédric Herzet
Distinguishing the Indistinguishable: Exploring Structural Ambiguities via Geodesic Context
Qingan Yan, Long Yang, Ling Zhang, Chunxia Xiao
Multi-Scale Continuous CRFs as Sequential Deep Networks for Monocular Depth Estimation
Dan Xu, Elisa Ricci, Wanli Ouyang, Xiaogang Wang, Nicu Sebe
Dynamic Time-Of-Flight
Michael Schober, Amit Adam, Omer Yair, Shai Mazor, Sebastian Nowozin

Oral 1-1B

Semantic Scene Completion From a Single Depth Image
Shuran Song, Fisher Yu, Andy Zeng, Angel X. Chang, Manolis Savva, Thomas Funkhouser
3DMatch: Learning Local Geometric Descriptors From RGB-D Reconstructions
Andy Zeng, Shuran Song, Matthias Nießner, Matthew Fisher, Jianxiong Xiao, Thomas Funkhouser
Multi-View Supervision for Single-View Reconstruction via Differentiable Ray Consistency (PDF, project, code)
Shubham Tulsiani, Tinghui Zhou, Alexei A. Efros, Jitendra Malik
On-The-Fly Adaptation of Regression Forests for Online Camera Relocalisation (PDF)
Tommaso Cavallari, Stuart Golodetz, Nicholas A. Lord, Julien Valentin, Luigi Di Stefano, Philip H. S. Torr

Low- & Mid-Level Vision

Spotlight 1-1C

Designing Effective Inter-Pixel Information Flow for Natural Image Matting
Yağiz Aksoy, Tunç Ozan Aydin, Marc Pollefeys
Deep Video Deblurring for Hand-Held Cameras
Shuochen Su, Mauricio Delbracio, Jue Wang, Guillermo Sapiro, Wolfgang Heidrich, Oliver Wang
Instance-Level Salient Object Segmentation
Guanbin Li, Yuan Xie, Liang Lin, Yizhou Yu
Deep Multi-Scale Convolutional Neural Network for Dynamic Scene Deblurring
Seungjun Nah, Tae Hyun Kim, Kyoung Mu Lee
Diversified Texture Synthesis With Feed-Forward Networks
Yijun Li, Chen Fang, Jimei Yang, Zhaowen Wang, Xin Lu, Ming-Hsuan Yang
Radiometric Calibration for Internet Photo Collections (PDF)
Zhipeng Mo, Boxin Shi, Sai-Kit Yeung, Yasuyuki Matsushita
Deeply Aggregated Alternating Minimization for Image Restoration
Youngjung Kim, Hyungjoo Jung, Dongbo Min, Kwanghoon Sohn
End-To-End Instance Segmentation With Recurrent Attention
Mengye Ren, Richard S. Zemel

Oral 1-1C

SRN: Side-output Residual Network for Object Symmetry Detection in the Wild
Wei Ke, Jie Chen, Jianbin Jiao, Guoying Zhao, Qixiang Ye
Deep Image Matting (PDF, abstract)
Ning Xu, Brian Price, Scott Cohen, Thomas Huang
Wetness and Color From a Single Multispectral Image
Mihoko Shimano, Hiroki Okawa, Yuta Asano, Ryoma Bise, Ko Nishino, Imari Sato
FC4: Fully Convolutional Color Constancy With Confidence-Weighted Pooling
Yuanming Hu, Baoyuan Wang, Stephen Lin

Poster 1-1

3D Computer Vision

Face Normals “In-The-Wild” Using Fully Convolutional Networks
George Trigeorgis, Patrick Snape, Iasonas Kokkinos, Stefanos Zafeiriou
A Non-Convex Variational Approach to Photometric Stereo Under Inaccurate Lighting
Yvain Quéau, Tao Wu, François Lauze, Jean-Denis Durou, Daniel Cremers
A Linear Extrinsic Calibration of Kaleidoscopic Imaging System From Single 3D Point
Kosuke Takahashi, Akihiro Miyata, Shohei Nobuhara, Takashi Matsuyama
Polarimetric Multi-View Stereo
Zhaopeng Cui, Jinwei Gu, Boxin Shi, Ping Tan, Jan Kautz
An Exact Penalty Method for Locally Convergent Maximum Consensus (PDF, code)
Huu Le, Tat-Jun Chin, David Suter
Deep Supervision With Shape Concepts for Occlusion-Aware 3D Object Parsing
Chi Li, M. Zeeshan Zia, Quoc-Huy Tran, Xiang Yu, Gregory D. Hager, Manmohan Chandraker
Amodal Detection of 3D Objects: Inferring 3D Bounding Boxes From 2D Ones in RGB-Depth Images
Zhuo Deng, Longin Jan Latecki

Analyzing Humans in Images

Transition Forests: Learning Discriminative Temporal Transitions for Action Recognition and Detection
Guillermo Garcia-Hernando, Tae-Kyun Kim
Scene Flow to Action Map: A New Representation for RGB-D Based Action Recognition With Convolutional Neural Networks
Pichao Wang, Wanqing Li, Zhimin Gao, Yuyao Zhang, Chang Tang, Philip Ogunbona
Detecting Masked Faces in the Wild With LLE-CNNs
Shiming Ge, Jia Li, Qiting Ye, Zhao Luo
A Domain Based Approach to Social Relation Recognition
Qianru Sun, Bernt Schiele, Mario Fritz
Spatio-Temporal Naive-Bayes Nearest-Neighbor (ST-NBNN) for Skeleton-Based Action Recognition
Junwu Weng, Chaoqun Weng, Junsong Yuan
Personalizing Gesture Recognition Using Hierarchical Bayesian Neural Networks
Ajjen Joshi, Soumya Ghosh, Margrit Betke, Stan Sclaroff, Hanspeter Pfister

Applications

Real-Time 3D Model Tracking in Color and Depth on a Single CPU Core
Wadim Kehl, Federico Tombari, Slobodan Ilic, Nassir Navab
Multi-Scale FCN With Cascaded Instance Aware Segmentation for Arbitrary Oriented Word Spotting in the Wild
Dafang He, Xiao Yang, Chen Liang, Zihan Zhou, Alexander G. Ororbi II, Daniel Kifer, C. Lee Giles
Viraliency: Pooling Local Virality
Xavier Alameda-Pineda, Andrea Pilzer, Dan Xu, Nicu Sebe, Elisa Ricci

Biomedical Image/Video Analysis

A Non-Local Low-Rank Framework for Ultrasound Speckle Reduction
Lei Zhu, Chi-Wing Fu, Michael S. Brown, Pheng-Ann Heng

Image Motion & Tracking

Video Acceleration Magnification
Silvia L. Pintea, Yichao Zhang, Jan C. van Gemert
Superpixel-Based Tracking-By-Segmentation Using Markov Chains
Donghun Yeo, Jeany Son, Bohyung Han, Joon Hee Han
BranchOut: Regularization for Online Ensemble Tracking With Convolutional Neural Networks
Bohyung Han, Jack Sim, Hartwig Adam
Learning Motion Patterns in Videos
Pavel Tokmakov, Karteek Alahari, Cordelia Schmid

Low- & Mid-Level Vision

Deep Level Sets for Salient Object Detection
Ping Hu, Bing Shuai, Jun Liu, Gang Wang
Binary Constraint Preserving Graph Matching
Bo Jiang, Jin Tang, Chris Ding, Bin Luo
From Local to Global: Edge Profiles to Camera Motion in Blurred Images
Subeesh Vasu, A. N. Rajagopalan
What Is the Space of Attenuation Coefficients in Underwater Computer Vision?
Derya Akkaynak, Tali Treibitz, Tom Shlesinger, Yossi Loya, Raz Tamir, David Iluz
Robust Energy Minimization for BRDF-Invariant Shape From Light Fields
Zhengqin Li, Zexiang Xu, Ravi Ramamoorthi, Manmohan Chandraker
Boundary-Aware Instance Segmentation
Zeeshan Hayder, Xuming He, Mathieu Salzmann
Spatially-Varying Blur Detection Based on Multiscale Fused and Sorted Transform Coefficients of Gradient Magnitudes
S. Alireza Golestaneh, Lina J. Karam
Model-Based Iterative Restoration for Binary Document Image Compression With Dictionary Learning
Yandong Guo, Cheng Lu, Jan P. Allebach, Charles A. Bouman
FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence
Seungryong Kim, Dongbo Min, Bumsub Ham, Sangryul Jeon, Stephen Lin, Kwanghoon Sohn

Machine Learning

Learning by Association — A Versatile Semi-Supervised Training Method for Neural Networks
Philip Haeusser, Alexander Mordvintsev, Daniel Cremers
Dilated Residual Networks
Fisher Yu, Vladlen Koltun, Thomas Funkhouser
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction
Richard Zhang, Phillip Isola, Alexei A. Efros
Nonnegative Matrix Underapproximation for Robust Multiple Model Fitting
Mariano Tepper, Guillermo Sapiro
Truncated Max-Of-Convex Models
Pankaj Pansari, M. Pawan Kumar
Additive Component Analysis
Calvin Murdock, Fernando De la Torre
Subspace Clustering via Variance Regularized Ridge Regression
Zhao Kang, Chong Peng, Qiang Cheng
The Incremental Multiresolution Matrix Factorization Algorithm
Vamsi K. Ithapu, Risi Kondor, Sterling C. Johnson, Vikas Singh
Transformation-Grounded Image Generation Network for Novel 3D View Synthesis
Eunbyung Park, Jimei Yang, Ersin Yumer, Duygu Ceylan, Alexander C. Berg
Learning Dynamic Guidance for Depth Image Enhancement (PDF)
Shuhang Gu, Wangmeng Zuo, Shi Guo, Yunjin Chen, Chongyu Chen, Lei Zhang
A-Lamp: Adaptive Layout-Aware Multi-Patch Deep Convolutional Neural Network for Photo Aesthetic Assessment (PDF)
Shuang Ma, Jing Liu, Chang Wen Chen
Teaching Compositionality to CNNs
Austin Stone, Huayan Wang, Michael Stark, Yi Liu, D. Scott Phoenix, Dileep George
Using Ranking-CNN for Age Estimation
Shixing Chen, Caojin Zhang, Ming Dong, Jialiang Le, Mike Rao
Accurate Single Stage Detector Using Recurrent Rolling Convolution
Jimmy Ren, Xiaohao Chen, Jianbo Liu, Wenxiu Sun, Jiahao Pang, Qiong Yan, Yu-Wing Tai, Li Xu
A Compact DNN: Approaching GoogLeNet-Level Accuracy of Classification and Domain Adaptation
Chunpeng Wu, Wei Wen, Tariq Afzal, Yongmei Zhang, Yiran Chen, Hai (Helen) Li
The Impact of Typicality for Informative Representative Selection
Jawadul H. Bappy, Sujoy Paul, Ertem Tuncel, Amit K. Roy-Chowdhury
Infinite Variational Autoencoder for Semi-Supervised Learning
M. Ehsan Abbasnejad, Anthony Dick, Anton van den Hengel
SurfNet: Generating 3D Shape Surfaces Using Deep Residual Networks
Ayan Sinha, Asim Unmesh, Qixing Huang, Karthik Ramani
Intrinsic Grassmann Averages for Online Linear and Robust Subspace Learning
Rudrasis Chakraborty, Søren Hauberg, Baba C. Vemuri
Variational Bayesian Multiple Instance Learning With Gaussian Processes
Manuel Haußmann, Fred A. Hamprecht, Melih Kandemir
Temporal Attention-Gated Model for Robust Sequence Classification
Wenjie Pei, Tadas Baltrušaitis, David M.J. Tax, Louis-Philippe Morency
Non-Uniform Subset Selection for Active Learning in Structured Data
Sujoy Paul, Jawadul H. Bappy, Amit K. Roy-Chowdhury
Colorization as a Proxy Task for Visual Understanding
Gustav Larsson, Michael Maire, Gregory Shakhnarovich
Shading Annotations in the Wild
Balazs Kovacs, Sean Bell, Noah Snavely, Kavita Bala
LCNN: Lookup-Based Convolutional Neural Network
Hessam Bagherinezhad, Mohammad Rastegari, Ali Farhadi

Object Recognition & Scene Understanding

Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation
Hao Zhao, Ming Lu, Anbang Yao, Yiwen Guo, Yurong Chen, Li Zhang
Pixelwise Instance Segmentation With a Dynamically Instantiated Network
Anurag Arnab, Philip H. S. Torr
Object Detection in Videos With Tubelet Proposal Networks
Kai Kang, Hongsheng Li, Tong Xiao, Wanli Ouyang, Junjie Yan, Xihui Liu, Xiaogang Wang
AMVH: Asymmetric Multi-Valued Hashing
Cheng Da, Shibiao Xu, Kun Ding, Gaofeng Meng, Shiming Xiang, Chunhong Pan
Spindle Net: Person Re-Identification With Human Body Region Guided Feature Decomposition and Fusion
Haiyu Zhao, Maoqing Tian, Shuyang Sun, Jing Shao, Junjie Yan, Shuai Yi, Xiaogang Wang, Xiaoou Tang
Deep Visual-Semantic Quantization for Efficient Image Retrieval
Yue Cao, Mingsheng Long, Jianmin Wang, Shichen Liu
Efficient Diffusion on Region Manifolds: Recovering Small Objects With Compact CNN Representations
Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Teddy Furon, Ondřej Chum
Feature Pyramid Networks for Object Detection
Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, Serge Belongie
Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation
Hongliang Yan, Yukang Ding, Peihua Li, Qilong Wang, Yong Xu, Wangmeng Zuo
StyleNet: Generating Attractive Visual Captions With Styles
Chuang Gan, Zhe Gan, Xiaodong He, Jianfeng Gao, Li Deng
Fine-Grained Recognition of Thousands of Object Categories With Single-Example Training
Leonid Karlinsky, Joseph Shtok, Yochay Tzur, Asaf Tzadok
Improving Interpretability of Deep Neural Networks With Semantic Information
Yinpeng Dong, Hang Su, Jun Zhu, Bo Zhang
Video Captioning With Transferred Semantic Attributes
Yingwei Pan, Ting Yao, Houqiang Li, Tao Mei
Fast Boosting Based Detection Using Scale Invariant Multimodal Multiresolution Filtered Features
Arthur Daniel Costea, Robert Varga, Sergiu Nedevschi

Video Analytics

Temporal Convolutional Networks for Action Segmentation and Detection (PDF, code)
Colin Lea, Michael D. Flynn, René Vidal, Austin Reiter, Gregory D. Hager
Surveillance Video Parsing With Single Frame Supervision
Si Liu, Changhu Wang, Ruihe Qian, Han Yu, Renda Bao, Yao Sun
Weakly Supervised Actor-Action Segmentation via Robust Multi-Task Ranking
Yan Yan, Chenliang Xu, Dawen Cai, Jason J. Corso
Unsupervised Visual-Linguistic Reference Resolution in Instructional Videos
De-An Huang, Joseph J. Lim, Li Fei-Fei, Juan Carlos Niebles
Zero-Shot Action Recognition With Error-Correcting Output Codes
Jie Qin, Li Liu, Ling Shao, Fumin Shen, Bingbing Ni, Jiaxin Chen, Yunhong Wang
Enhancing Video Summarization via Vision-Language Embedding
Bryan A. Plummer, Matthew Brown, Svetlana Lazebnik
Synthesizing Dynamic Patterns by Spatial-Temporal Generative ConvNet
Jianwen Xie, Song-Chun Zhu, Ying Nian Wu

Object Recognition & Scene Understanding - Computer Vision & Language

Discriminative Bimodal Networks for Visual Localization and Detection With Natural Language Queries
Yuting Zhang, Luyao Yuan, Yijie Guo, Zhiyuan He, I-An Huang, Honglak Lee
Automatic Understanding of Image and Video Advertisements
Zaeem Hussain, Mingda Zhang, Xiaozhong Zhang, Keren Ye, Christopher Thomas, Zuha Agha, Nathan Ong, Adriana Kovashka
Deep Sketch Hashing: Fast Free-Hand Sketch-Based Image Retrieval
Li Liu, Fumin Shen, Yuming Shen, Xianglong Liu, Ling Shao
Discover and Learn New Objects From Documentaries
Kai Chen, Hang Song, Chen Change Loy, Dahua Lin
Spatial-Semantic Image Search by Visual Feature Synthesis
Long Mai, Hailin Jin, Zhe Lin, Chen Fang, Jonathan Brandt, Feng Liu
Fully-Adaptive Feature Sharing in Multi-Task Networks With Applications in Person Attribute Classification
Yongxi Lu, Abhishek Kumar, Shuangfei Zhai, Yu Cheng, Tara Javidi, Rogerio Feris
Semantic Compositional Networks for Visual Captioning
Zhe Gan, Chuang Gan, Xiaodong He, Yunchen Pu, Kenneth Tran, Jianfeng Gao, Lawrence Carin, Li Deng
Training Object Class Detectors With Click Supervision
Dim P. Papadopoulos, Jasper R. R. Uijlings, Frank Keller, Vittorio Ferrari

Oral 1-2A

Deep Reinforcement Learning-Based Image Captioning With Embedding Reward
Zhou Ren, Xiaoyu Wang, Ning Zhang, Xutao Lv, Li-Jia Li
From Red Wine to Red Tomato: Composition With Context
Ishan Misra, Abhinav Gupta, Martial Hebert
Captioning Images With Diverse Objects
Subhashini Venugopalan, Lisa Anne Hendricks, Marcus Rohrbach, Raymond Mooney, Trevor Darrell, Kate Saenko
Self-Critical Sequence Training for Image Captioning
Steven J. Rennie, Etienne Marcheret, Youssef Mroueh, Jerret Ross, Vaibhava Goel

Analyzing Humans 1

Spotlight 1-2B

Crossing Nets: Combining GANs and VAEs With a Shared Latent Space for Hand Pose Estimation
Chengde Wan, Thomas Probst, Luc Van Gool, Angela Yao
Predicting Behaviors of Basketball Players From First Person Videos
Shan Su, Jung Pyo Hong, Jianbo Shi, Hyun Soo Park
LCR-Net: Localization-Classification-Regression for Human Pose
Grégory Rogez, Philippe Weinzaepfel, Cordelia Schmid
Learning Residual Images for Face Attribute Manipulation
Wei Shen, Rujie Liu
Seeing What Is Not There: Learning Context to Determine Where Objects Are Missing
Jin Sun, David W. Jacobs
Deep Learning on Lie Groups for Skeleton-Based Action Recognition
Zhiwu Huang, Chengde Wan, Thomas Probst, Luc Van Gool
Harvesting Multiple Views for Marker-Less 3D Human Pose Annotations
Georgios Pavlakos, Xiaowei Zhou, Konstantinos G. Derpanis, Kostas Daniilidis
Coarse-To-Fine Volumetric Prediction for Single-Image 3D Human Pose
Georgios Pavlakos, Xiaowei Zhou, Konstantinos G. Derpanis, Kostas Daniilidis

Oral 1-2B

Weakly Supervised Action Learning With RNN Based Fine-To-Coarse Modeling
Alexander Richard, Hilde Kuehne, Juergen Gall
Disentangled Representation Learning GAN for Pose-Invariant Face Recognition
Luan Tran, Xi Yin, Xiaoming Liu
ArtTrack: Articulated Multi-Person Tracking in the Wild
Eldar Insafutdinov, Mykhaylo Andriluka, Leonid Pishchulin, Siyu Tang, Evgeny Levinkov, Bjoern Andres, Bernt Schiele
Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields (PDF, code)
Zhe Cao, Tomas Simon, Shih-En Wei, Yaser Sheikh

Image Motion & Tracking; Video Analysis

Spotlight 1-2C

Template Matching With Deformable Diversity Similarity
Itamar Talmi, Roey Mechrez, Lihi Zelnik-Manor
Beyond Triplet Loss: A Deep Quadruplet Network for Person Re-Identification
Weihua Chen, Xiaotang Chen, Jianguo Zhang, Kaiqi Huang
Agent-Centric Risk Assessment: Accident Anticipation and Risky Region Localization
Kuo-Hao Zeng, Shih-Han Chou, Fu-Hsiang Chan, Juan Carlos Niebles, Min Sun
Bidirectional Multirate Reconstruction for Temporal Modeling in Videos
Linchao Zhu, Zhongwen Xu, Yi Yang
Action-Decision Networks for Visual Tracking With Deep Reinforcement Learning
Sangdoo Yun, Jongwon Choi, Youngjoon Yoo, Kimin Yun, Jin Young Choi
TGIF-QA: Toward Spatio-Temporal Reasoning in Visual Question Answering
Yunseok Jang, Yale Song, Youngjae Yu, Youngjin Kim, Gunhee Kim
Making 360° Video Watchable in 2D: Learning Videography for Click Free Viewing
Yu-Chuan Su, Kristen Grauman
Unsupervised Adaptive Re-Identification in Open World Dynamic Camera Networks
Rameswar Panda, Amran Bhuiyan, Vittorio Murino, Amit K. Roy-Chowdhury

Oral 1-2C

Context-Aware Correlation Filter Tracking
Matthias Mueller, Neil Smith, Bernard Ghanem
Deep 360 Pilot: Learning a Deep Agent for Piloting Through 360° Sports Videos
Hou-Ning Hu, Yen-Chen Lin, Ming-Yu Liu, Hsien-Tzu Cheng, Yung-Ju Chang, Min Sun
Slow Flow: Exploiting High-Speed Cameras for Accurate and Diverse Optical Flow Reference Data
Joel Janai, Fatma Güney, Jonas Wulff, Michael J. Black, Andreas Geiger
CDC: Convolutional-De-Convolutional Networks for Precise Temporal Action Localization in Untrimmed Videos
Zheng Shou, Jonathan Chan, Alireza Zareian, Kazuyuki Miyazawa, Shih-Fu Chang

Poster 1-2

3D Computer Vision

Exploiting 2D Floorplan for Building-Scale Panorama RGBD Alignment
Erik Wijmans, Yasutaka Furukaw

本文内容由网友自发贡献,版权归原作者所有,本站不承担相应法律责任。如您发现有涉嫌抄袭侵权的内容,请联系:hwhale#tublm.com(使用前将#替换为@)

CVPR 2017论文 的相关文章

随机推荐

  • python爬虫是干嘛的?python爬虫能做什么?

    Python爬虫是什么 Python爬虫是由Python程序开发的网络爬虫 webspider webrobot 是按照一定规则自动抓取万维网信息的程序或脚本 其实一般是通过程序在网页上获取你想要的数据 也就是自动抓取数据 爬虫又被称为网络
  • golang 详解协程——errgroup

    为什么要有sync errgroup go支持并发 一般采用的是 channel sync WaitGroup context 来实现各个协程之间的流程控制和消息传递 但是对于开启的成千上万的协程 如果在每个协程内都自行去打印 错误日志的话
  • 关于K-means的通俗理解

    机器学习通俗理解系列 关于knn的通俗理解 文章目录 前言 一 什么是K means 二 什么原理 三 重点 1 K值的选定 2 样本之间的距离 四 优缺点 五 优化进阶 总结 前言 刚学习机器学习的时候免不了百度 问什么是K means
  • vue3运行npm run serve报错ERROR Error: Cannot find module ‘babel-plugin-import‘ Require stack:

    1 完整报错 gt ims support demo 0 1 0 serve Users yizhikaixinya Desktop charmplus ims gt vue cli service serve ERROR Error Ca
  • 实验SparkSQL编程初级实践

    实验SparkSQL编程初级实践 实践环境 Oracle VM VirtualBox 6 1 12 Ubuntu 16 04 Hadoop3 1 3 JDK1 8 0 162 spark2 4 0 python3 5 Windows11系统
  • 领域建模

    忙碌的过着周末 一边思考如何建设自己知识体系 另外一遍白板的各种算法在脑袋互相争抢时间 低音炮单曲循环的的Ava Max Salt 心 静下来 环境燥起来 思绪继续飞行 前期读了一半的书 重新拿起 在建模方式上理解场景方法的研究 之前分享的
  • asp.net zero 8.2 学习-3-添加实体,并迁移到数据库

    系列目录 asp net zero 8 2 学习 1 安装 asp net zero 8 2 学习 2 创建一个页面 asp net zero 8 2 学习 3 添加实体 并迁移到数据库 asp net zero 8 2 学习 4 创建接口
  • 压缩伪影的探讨

    1 压缩伪影的由来 常用的视频编码器中 在一个框架中使用了多种编码方法 01 预测编码 不编码预测值 而是编码预测值与实际值的差值 02 变换编码 对信号的样本值进行某种形式的函数变换 从一种空间变换到另一种空间 然后再根据信号在另一个空间
  • SOA中国路线图活动感受

    下午参加了SOA中国路线图活动 主要由普元公司和相关的媒体以及电信客户进行演讲 对于SOA我之前一直认为是个很虚的东西 概念大于实践 但听了普元公司黄柳青博士的介绍以及在电信领域中的应用 感觉还是有收获的 很多思想可以应用到系统的设计和开发
  • 数据结构——红黑树

    1 什么是红黑树 红黑树是一种特定类型的二叉树 用于组织数据 它是一种平衡二叉查找树 AVL树 的变体 每个结点都带有颜色属性 红色或黑色 在红黑树中 从根到叶子的最长的可能路径不多于最短的可能路径的两倍长 具体来说 红黑树满足以下性质 每
  • 结构型模式-享元模式

    package per mjn pattern flyweight 抽象享元角色 public abstract class AbstractBox 获取图形的方法 内部状态 public abstract String getShape
  • 机器学习 可视化_机器学习-可视化

    机器学习 可视化 机器学习导论 Introduction to machine learning In the traditional hard coded approach we program a computer to perform
  • 【Unity 几何着色器】简单的网格线描边

    水文 几何着色器 第一个pass就默认的unlit效果 第二个pass是新建的 属性都没有用到 先留个坑吧 Shader GeoHelp LineMesh Properties MainTex Texture 2D white EdgeWi
  • 优质数对的数目[位运算特点+抽象能力考察+分组快速统计]

    位运算特点 抽象能力考察 分组快速统计 前言 一 优质数对的数目 二 思路与优化过程 总结 参考文献 前言 位运算是计算机最基本的计算 是最快的运算方式 与或非各有特点 抽象能力考察我理解成一种 拿核心去累赘 的能力 分组快速统计 我们不必
  • 1Python入门小结(1)

    Python入门小结 1 万丈高楼平地起 简介 Python是一种通用编程语言 其在科学计算和机器学习领域具有广泛的应用 本小节包含的内容 变量 运算符与数据类型 位运算 条件语句 循环语句 异常处理 变量 运算符与数据类型 注释 Pyth
  • 我使用过的Linux命令之stty - 显示和修改终端行设置

    原文链接 http codingstandards iteye com blog 826924 用途说明 stty命令用于显示和修改终端行设置 change and print terminal line settings 常用参数 stt
  • 【Linux学习】虚拟机VMware 安装Qt5 一条龙讲解

    如何在Linux下安装Qt5呢 若已在Linux下载好安装包 可直接从第三步进行阅读 目录 第一步 下载所需版本Qt 第二步 将Qt安装包传输到Linux 第三步 Linux下安装Qt 第四步 配置 Qt 环境 本文安装版本 linux上的
  • 浅谈软件构件和软件构件测试

    什么是构件 构件也称为组件 是一个独立发布的功能部分 通过接口可以访问它的服务 其特点是 l 软件系统中具有相对独立功能 可以明确辨识 接口由契约指定 和语境有明显依赖关系 可独立部署 且多由第三方提供的可组装软件实体 l 软件构件须承载有
  • 前端导出后端文件的方法

    一般存在两种方式 1 请求接口之后 后端返回文件路径 前端直接下载 2 请求接口之后 后端以文件流的形式返回给前端 前端再下载到本地 第一种方式 window location href res request responseURL 直接
  • CVPR 2017论文

    近期在看CVPR2017的文章 顺便就把CVPR2017整理一下 分享给大家 更多的 Computer Vision的文章可以访问Computer Vision Foundation open access CVPapers Machine