Best Paper Award
| 2014 | “What Camera Motion Reveals About Shape with Unknown BRDF” | M. K. Chandraker |
Honorable Mention
| 2014 | “3D Shape and Indirect Appearance by Structured Light Transport” | M. O’Toole, J. Mather, K. Kutulakos |
Best Student Paper Award
| 2014 | “Partial Optimality by Pruning for MAP-inference with General Graphical Models” | P. Swoboda, B. Savchynskyy, J. Kappes, C. Schnorr |
Curated Papers:
The Secrets of Salient Object Segmentation
In this paper we provide an extensive evaluation of fixation prediction and salient object segmentation algorithms as well as statistics of major datasets. Our analysis identifies serious design flaws of existing salient object benchmarks, called the dataset design bias, by over emphasising the stereotypical concepts of saliency. The dataset design bias does not only create the discomforting disconnection between fixations and salient object segmentation, but also misleads the algorithm designing. Based on our analysis, we propose a new high quality dataset that offers both fixation and salient object segmentation ground-truth. With fixations and salient object being presented simultaneously, we are able to bridge the gap between fixations and salient objects, and propose a novel method for salient object segmentation. Finally, we report significant benchmark progress on 3 existing datasets of segmenting salient objects.
Convolutional Neural Networks for No-Reference Image Quality Assessment
In this work we describe a Convolutional Neural Network (CNN) to accurately predict image quality without a reference image. Taking image patches as input, the CNN works in the spatial domain without using hand-crafted features that are employed by most previous methods. The network consists of one convolutional layer with max and min pooling, two fully connected layers and an output node. Within the network structure, feature learning and regression are integrated into one optimization process, which leads to a more effective model for estimating image quality. This approach achieves state of the art performance on the LIVE dataset and shows excellent generalization ability in cross dataset experiments. Further experiments on images with local distortions demonstrate the local quality estimation ability of our CNN, which is rarely reported in previous literature.
Full List:
The “DeepX” comes
- Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation Ross Girshick;Jeff Donahue;Trevor Darrell;Jitendra Malik Publication Year: 2014,Page(s):580 – 587 Cited by: Papers (6832) | Patents (58)
- Large-Scale Video Classification with Convolutional Neural Networks Andrej Karpathy;George Toderici;Sanketh Shetty;Thomas Leung;Rahul Sukthankar;Li Fei-Fei Publication Year: 2014,Page(s):1725 – 1732 Cited by: Papers (2269) | Patents (27)
- DeepFace: Closing the Gap to Human-Level Performance in Face Verification Yaniv Taigman;Ming Yang;Marc’Aurelio Ranzato;Lior Wolf Publication Year: 2014,Page(s):1701 – 1708 Cited by: Papers (2041) | Patents (27)
- Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks Maxime Oquab;Leon Bottou;Ivan Laptev;Josef Sivic Publication Year: 2014,Page(s):1717 – 1724 Cited by: Papers (1110) | Patents (16)
- One millisecond face alignment with an ensemble of regression trees Vahid Kazemi;Josephine Sullivan Publication Year: 2014,Page(s):1867 – 1874 Cited by: Papers (893) | Patents (25)
- DeepReID: Deep Filter Pairing Neural Network for Person Re-identification Wei Li;Rui Zhao;Tong Xiao;Xiaogang Wang Publication Year: 2014,Page(s):152 – 159 Cited by: Papers (805) | Patents (5)
- DeepPose: Human Pose Estimation via Deep Neural Networks Alexander Toshev;Christian Szegedy Publication Year: 2014,Page(s):1653 – 1660 Cited by: Papers (788) | Patents (15)
- Deep Learning Face Representation from Predicting 10,000 Classes Yi Sun;Xiaogang Wang;Xiaoou Tang Publication Year: 2014,Page(s):1891 – 1898 Cited by: Papers (783) | Patents (3)
- Adaptive Color Attributes for Real-Time Visual Tracking Martin Danelljan;Fahad Shahbaz Khan;Michael Felsberg;Joost Van De Weijer Publication Year: 2014,Page(s):1090 – 1097 Cited by: Papers (702)
- Saliency Optimization from Robust Background Detection Wangjiang Zhu;Shuang Liang;Yichen Wei;Jian Sun Publication Year: 2014,Page(s):2814 – 2821 Cited by: Papers (603) | Patents (3)
- 2D Human Pose Estimation: New Benchmark and State of the Art Analysis Mykhaylo Andriluka;Leonid Pishchulin;Peter Gehler;Bernt Schiele Publication Year: 2014,Page(s):3686 – 3693 Cited by: Papers (564) | Patents (1)
- Weighted Nuclear Norm Minimization with Application to Image Denoising Shuhang Gu;Lei Zhang;Wangmeng Zuo;Xiangchu Feng Publication Year: 2014,Page(s):2862 – 2869 Cited by: Papers (530)
- Human Action Recognition by Representing 3D Skeletons as Points in a Lie Group Raviteja Vemulapalli;Felipe Arrate;Rama Chellappa Publication Year: 2014,Page(s):588 – 595 Cited by: Papers (506) | Patents (1)
- Multiscale Combinatorial Grouping Pablo Arbeláez;Jordi Pont-Tuset;Jon Barron;Ferran Marques;Jitendra Malik Publication Year: 2014,Page(s):328 – 335 Cited by: Papers (493) | Patents (3)
- Face Alignment at 3000 FPS via Regressing Local Binary Features Shaoqing Ren;Xudong Cao;Yichen Wei;Jian Sun Publication Year: 2014,Page(s):1685 – 1692 Cited by: Papers (433) | Patents (4)
- BING: Binarized Normed Gradients for Objectness Estimation at 300fps Ming-Ming Cheng;Ziming Zhang;Wen-Yan Lin;Philip Torr Publication Year: 2014,Page(s):3286 – 3293 Cited by: Papers (430) | Patents (9)
- Learning Fine-Grained Image Similarity with Deep Ranking Jiang Wang;Yang Song;Thomas Leung;Chuck Rosenberg;Jingbin Wang;James Philbin;Bo Chen;Ying Wu Publication Year: 2014,Page(s):1386 – 1393 Cited by: Papers (428) | Patents (20)
- The Secrets of Salient Object Segmentation Yin Li;Xiaodi Hou;Christof Koch;James M. Rehg;Alan L. Yuille Publication Year: 2014,Page(s):280 – 287 Cited by: Papers (427) | Patents (15)
- Scalable Object Detection Using Deep Neural Networks Dumitru Erhan;Christian Szegedy;Alexander Toshev;Dragomir Anguelov Publication Year: 2014,Page(s):2155 – 2162 Cited by: Papers (399) | Patents (26)
- Convolutional Neural Networks for No-Reference Image Quality Assessment Le Kang;Peng Ye;Yi Li;David Doermann Publication Year: 2014,Page(s):1733 – 1740 Cited by: Papers (331) | Patents (10)
- The Role of Context for Object Detection and Semantic Segmentation in the Wild Roozbeh Mottaghi;Xianjie Chen;Xiaobai Liu;Nam-Gyu Cho;Seong-Whan Lee;Sanja Fidler;Raquel Urtasun;Alan Yuille Publication Year: 2014,Page(s):891 – 898 Cited by: Papers (321) | Patents (4)
- Discriminative Deep Metric Learning for Face Verification in the Wild Junlin Hu;Jiwen Lu;Yap-Peng Tan Publication Year: 2014,Page(s):1875 – 1882 Cited by: Papers (310) | Patents (3)
- Learning Mid-level Filters for Person Re-identification Rui Zhao;Wanli Ouyang;Xiaogang Wang Publication Year: 2014,Page(s):144 – 151 Cited by: Papers (301)
- Describing Textures in the Wild Mircea Cimpoi;Subhransu Maji;Iasonas Kokkinos;Sammy Mohamed;Andrea Vedaldi Publication Year: 2014,Page(s):3606 – 3613 Cited by: Papers (257)
- PANDA: Pose Aligned Networks for Deep Attribute Modeling Ning Zhang;Manohar Paluri;Marc’Aurelio Ranzato;Trevor Darrell;Lubomir Bourdev Publication Year: 2014,Page(s):1637 – 1644 Cited by: Papers (238) | Patents (2)
- Facial Expression Recognition via a Boosted Deep Belief Network Ping Liu;Shizhong Han;Zibo Meng;Yan Tong Publication Year: 2014,Page(s):1805 – 1812 Cited by: Papers (227)
- Investigating Haze-Relevant Features in a Learning Framework for Image Dehazing Ketan Tang;Jianchao Yang;Jue Wang Publication Year: 2014,Page(s):2995 – 3002 Cited by: Papers (226) | Patents (1)
- Transfer Joint Matching for Unsupervised Domain Adaptation Mingsheng Long;Jianmin Wang;Guiguang Ding;Jiaguang Sun;Philip S. Yu Publication Year: 2014,Page(s):1410 – 1417 Cited by: Papers (223)
- Realtime and Robust Hand Tracking from Depth Chen Qian;Xiao Sun;Yichen Wei;Xiaoou Tang;Jian Sun Publication Year: 2014,Page(s):1106 – 1113 Cited by: Papers (222) | Patents (11)
- Shrinkage Fields for Effective Image Restoration Uwe Schmidt;Stefan Roth Publication Year: 2014,Page(s):2774 – 2781 Cited by: Papers (218)
- Incremental Face Alignment in the Wild Akshay Asthana;Stefanos Zafeiriou;Shiyang Cheng;Maja Pantic Publication Year: 2014,Page(s):1859 – 1866 Cited by: Papers (213)
- Fast Supervised Hashing with Decision Trees for High-Dimensional Data Guosheng Lin;Chunhua Shen;Qinfeng Shi;Anton van den Hengel;David Suter Publication Year: 2014,Page(s):1971 – 1978 Cited by: Papers (196)
- Robust Online Multi-object Tracking Based on Tracklet Confidence and Online Discriminative Appearance Learning Seung-Hwan Bae;Kuk-Jin Yoon Publication Year: 2014,Page(s):1218 – 1225 Cited by: Papers (196)
- Seeing 3D Chairs: Exemplar Part-Based 2D-3D Alignment Using a Large Dataset of CAD Models Mathieu Aubry;Daniel Maturana;Alexei A. Efros;Bryan C. Russell;Josef Sivic Publication Year: 2014,Page(s):3762 – 3769 Cited by: Papers (193) | Patents (10)
- Pulling Things out of Perspective Lubor Ladický;Jianbo Shi;Marc Pollefeys Publication Year: 2014,Page(s):89 – 96 Cited by: Papers (191) | Patents (1)
- Collective Matrix Factorization Hashing for Multimodal Data Guiguang Ding;Yuchen Guo;Jile Zhou Publication Year: 2014,Page(s):2083 – 2090 Cited by: Papers (184) | Patents (1)
- Super Normal Vector for Activity Recognition Using Depth Sequences Xiaodong Yang;YingLi Tian Publication Year: 2014,Page(s):804 – 811 Cited by: Papers (179) | Patents (1)
- FAUST: Dataset and Evaluation for 3D Mesh Registration Federica Bogo;Javier Romero;Matthew Loper;Michael J. Black Publication Year: 2014,Page(s):3794 – 3801 Cited by: Papers (178) | Patents (6)
- Novel Methods for Multilinear Data Completion and De-noising Based on Tensor-SVD Zemin Zhang;Gregory Ely;Shuchin Aeron;Ning Hao;Misha Kilmer Publication Year: 2014,Page(s):3842 – 3849 Cited by: Papers (169) | Patents (1)
- Latent Regression Forest: Structured Estimation of 3D Articulated Hand Posture Danhang Tang;Hyung Jin Chang;Alykhan Tejani;Tae-Kyun Kim Publication Year: 2014,Page(s):3786 – 3793 Cited by: Papers (168) | Patents (8)
- Detect What You Can: Detecting and Representing Objects Using Holistic Models and Body Parts Xianjie Chen;Roozbeh Mottaghi;Xiaobai Liu;Sanja Fidler;Raquel Urtasun;Alan Yuille Publication Year: 2014,Page(s):1979 – 1986 Cited by: Papers (167)
- Informed Haar-Like Features Improve Pedestrian Detection Shanshan Zhang;Christian Bauckhage;Armin B. Cremers Publication Year: 2014,Page(s):947 – 954 Cited by: Papers (166) | Patents (1)
- Large-Scale Optimization of Hierarchical Features for Saliency Prediction in Natural Images Eleonora Vig;Michael Dorr;David Cox Publication Year: 2014,Page(s):2798 – 2805 Cited by: Papers (162) | Patents (1)
- Salient Region Detection via High-Dimensional Color Transform Jiwhan Kim;Dongyoon Han;Yu-Wing Tai;Junmo Kim Publication Year: 2014,Page(s):883 – 890 Cited by: Papers (162)
- Discrete-Continuous Depth Estimation from a Single Image Miaomiao Liu;Mathieu Salzmann;Xuming He Publication Year: 2014,Page(s):716 – 723 Cited by: Papers (152) | Patents (2)
- Remote Heart Rate Measurement from Face Videos under Realistic Situations Xiaobai Li;Jie Chen;Guoying Zhao;Matti Pietikäinen Publication Year: 2014,Page(s):4264 – 4271 Cited by: Papers (149) | Patents (3)
- The Fastest Deformable Part Model for Object Detection Junjie Yan;Zhen Lei;Longyin Wen;Stan Z. Li Publication Year: 2014,Page(s):2497 – 2504 Cited by: Papers (141) | Patents (3)
- Parallax-Tolerant Image Stitching Fan Zhang;Feng Liu Publication Year: 2014,Page(s):3262 – 3269 Cited by: Papers (139) | Patents (5)
- Learning Expressionlets on Spatio-temporal Manifold for Dynamic Facial Expression Recognition Mengyi Liu;Shiguang Shan;Ruiping Wang;Xilin Chen Publication Year: 2014,Page(s):1749 – 1756 Cited by: Papers (137)
- How to Evaluate Foreground Maps Ran Margolin;Lihi Zelnik-Manor;Ayellet Tal Publication Year: 2014,Page(s):248 – 255 Cited by: Papers (133)
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