ICCV

Recurrent Scale Approximation for Object Detection in CNN

Yu Liu, Hongyang Li, Junjie Yan, Fangyin Wei, Xiaogang Wang, Xiaoou Tang

Comments Accepted in ICCV 2017

CVAE-GAN: Fine-Grained Image Generation through Asymmetric Training

Jianmin Bao, Dong Chen, Fang Wen, Houqiang Li, Gang Hua

Comments to appear in ICCV 2017

Large-Scale Image Retrieval with Attentive Deep Local Features

Hyeonwoo Noh, Andre Araujo, Jack Sim, Tobias Weyand, Bohyung Han

Comments ICCV 2017. Code and dataset available: https://github.com/tensorflow/models/tree/master/research/delf

Structured learning and detailed interpretation of minimal object images

Guy Ben-Yosef, Liav Assif, Shimon Ullman

Comments Accepted to Workshop on Mutual Benefits of Cognitive and Computer Vision, at the International Conference on Computer Vision. Venice, Italy, 2017

Scene recognition with CNNs: objects, scales and dataset bias

Luis Herranz, Shuqiang Jiang, Xiangyang Li

Comments CVPR 2016

Journal ref L. Herranz, S. Jiang, X. Li, "Scene recognition with CNNs: objects, scales and dataset bias", Proc. International Conference on Computer Vision and Pattern Recognition (CVPR16), Las Vegas, Nevada, USA, June 2016

Sampling Matters in Deep Embedding Learning

Chao-Yuan Wu, R. Manmatha, Alexander J. Smola, Philipp Krähenbühl

Comments Add supplementary material. Paper published in ICCV 2017

Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly

Michael Opitz, Georg Waltner, Horst Possegger, Horst Bischof

Comments Extension to our paper BIER: Boosting Independent Embeddings Robustly (ICCV 2017 oral) - submitted to PAMI

Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-supervised Object and Action Localization

Krishna Kumar Singh, Yong Jae Lee

Comments Camera-Ready Version (ICCV 2017)

Human Action Recognition: Pose-based Attention draws focus to Hands

Fabien Baradel, Christian Wolf, Julien Mille

Comments ICCV 2017 Workshop "Hands in action". arXiv admin note: text overlap with arXiv:1703.10106

Journal ref ICCV 2017

DeepFuse: A Deep Unsupervised Approach for Exposure Fusion with Extreme Exposure Image Pairs

K. Ram Prabhakar, V. Sai Srikar, R. Venkatesh Babu

Comments ICCV 2017

Monocular Dense 3D Reconstruction of a Complex Dynamic Scene from Two Perspective Frames

Suryansh Kumar, Yuchao Dai, Hongdong Li

Comments International Conference on Computer Vision (ICCV) 2017 pp: 4649-4657

Spatial-Aware Object Embeddings for Zero-Shot Localization and Classification of Actions

Pascal Mettes, Cees G. M. Snoek

Comments ICCV

Generating Visual Representations for Zero-Shot Classification

Maxime Bucher, Stéphane Herbin, Frédéric Jurie

Journal ref International Conference on Computer Vision (ICCV) Workshops : TASK-CV: Transferring and Adapting Source Knowledge in Computer Vision, Oct 2017, venise, Italy. International Conference on Computer Vision (ICCV) Workshops, 2017

MoFA: Model-based Deep Convolutional Face Autoencoder for Unsupervised Monocular Reconstruction

Ayush Tewari, Michael Zollhöfer, Hyeongwoo Kim, Pablo Garrido, Florian Bernard, Patrick Pérez, Christian Theobalt

Comments International Conference on Computer Vision (ICCV) 2017 (Oral), 13 pages

Deep Generative Adversarial Compression Artifact Removal

Leonardo Galteri, Lorenzo Seidenari, Marco Bertini, Alberto Del Bimbo

Comments ICCV 2017 Camera Ready + Acknowledgements

Learning Spatio-Temporal Representation with Pseudo-3D Residual Networks

Zhaofan Qiu, Ting Yao, Tao Mei

Comments ICCV 2017; The codes and model of our P3D ResNet are publicly available at: https://github.com/ZhaofanQiu/pseudo-3d-residual-networks

Efficient Implementation of a Recognition System Using the Cortex Ventral Stream Model

Ahmad W. Bitar, Mohammad M. Mansour, Ali Chehab

Comments 10 pages

Journal ref In Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015)

Adversarial Inverse Graphics Networks: Learning 2D-to-3D Lifting and Image-to-Image Translation from Unpaired Supervision

Hsiao-Yu Fish Tung, Adam W. Harley, William Seto, Katerina Fragkiadaki

Journal ref The IEEE International Conference on Computer Vision (ICCV), 2017, pp. 4354-4362

Attentive Semantic Video Generation using Captions

Tanya Marwah, Gaurav Mittal, Vineeth N. Balasubramanian

Journal ref Presented at ICCV 2017 (International Conference on Computer Vision)

S$^3$FD: Single Shot Scale-invariant Face Detector

Shifeng Zhang, Xiangyu Zhu, Zhen Lei, Hailin Shi, Xiaobo Wang, Stan Z. Li

Comments Accepted by ICCV 2017 + its supplementary materials; Updated the latest results on WIDER FACE

Multi-kernel learning of deep convolutional features for action recognition

Biswa Sengupta, Yu Qian

Comments ICCV 2017 Workshop on Video and Language Understanding: MovieQA and the Large Scale Movie Description Challenge

Feed Forward and Backward Run in Deep Convolution Neural Network

Pushparaja Murugan

Comments 20 pages, 20th International Conference on Computer Vision and Image Processing

Multi-label Image Recognition by Recurrently Discovering Attentional Regions

Zhouxia Wang, Tianshui Chen, Guanbin Li, Ruijia Xu, Liang Lin

Comments Accepted at ICCV 2017

Learning High Dynamic Range from Outdoor Panoramas

Jinsong Zhang, Jean-François Lalonde

Comments 8 pages + 2 pages of citations, 10 figures. Accepted as an oral paper at ICCV 2017

Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training

Rakshith Shetty, Marcus Rohrbach, Lisa Anne Hendricks, Mario Fritz, Bernt Schiele

Comments 16 pages, Published in ICCV 2017

Low-shot Visual Recognition by Shrinking and Hallucinating Features

Bharath Hariharan, Ross Girshick

Comments ICCV 2017 spotlight

Dual Path Networks for Multi-Person Human Pose Estimation

Guanghan Ning, Zhihai He

Comments ICCV 2017 Workshop on PoseTrack Challenge. Challenge results available at: https://posetrack.net/workshops/iccv2017/posetrack-challenge-results.html

Adversarial Examples Detection in Deep Networks with Convolutional Filter Statistics

Xin Li, Fuxin Li

Comments Published in ICCV 2017

Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models

Roman Klokov, Victor Lempitsky

Comments Spotlight at ICCV'17

Scene Parsing with Global Context Embedding

Wei-Chih Hung, Yi-Hsuan Tsai, Xiaohui Shen, Zhe Lin, Kalyan Sunkavalli, Xin Lu, Ming-Hsuan Yang

Comments Accepted in ICCV'17. Code available at https://github.com/hfslyc/GCPNet