ECCV 2018

776 papers

Connecting Gaze, Scene, and Attention: Generalized Attention Estimation via Joint Modeling of Gaze and Scene Saliency

Eunji Chong, Nataniel Ruiz, Yongxin Wang, Yun Zhang, Agata Rozga

Local Orthogonal-Group Testing

Ahmet Iscen, Ondřej Chum

Focus, Segment and Erase: An Efficient Network for Multi-Label Brain Tumor Segmentation

Xuan Chen, Jun Hao Liew, Wei Xiong, Chee-Kong Chui, Sim-Heng Ong

Textual Explanations for Self-Driving Vehicles

Jinkyu Kim, Anna Rohrbach, Trevor Darrell, John Canny, Zeynep Akata

Proximal Dehaze-Net: A Prior Learning-Based Deep Network for Single Image Dehazing

Dong Yang, Jian Sun

Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation

Zhaoyang Lv, Kihwan Kim, Alejandro Troccoli, Deqing Sun, James M. Rehg

Quantization Mimic: Towards Very Tiny CNN for Object Detection

Yi Wei, Xinyu Pan, Hongwei Qin, Wanli Ouyang, Junjie Yan

Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation

Eddy Ilg, Tonmoy Saikia, Margret Keuper, Thomas Brox

CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images

Sheng Guo, Weilin Huang, Haozhi Zhang, Chenfan Zhuang, Dengke Dong

SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters

Yifan Xu, Tianqi Fan, Mingye Xu, Long Zeng, Yu Qiao

R2P2: A ReparameteRized Pushforward Policy for Diverse, Precise Generative Path Forecasting

Nicholas Rhinehart, Kris M. Kitani, Paul Vernaza

DeepTAM: Deep Tracking and Mapping

Huizhong Zhou, Benjamin Ummenhofer, Thomas Brox

Incremental Multi-graph Matching via Diversity and Randomness based Graph Clustering

Tianshu Yu, Junchi Yan, Wei Liu, baoxin Li

Double JPEG Detection in Mixed JPEG Quality Factors using Deep Convolutional Neural Network

Jinseok Park, Donghyeon Cho, Wonhyuk Ahn, Heung-Kyu Lee

Selfie Video Stabilization

Jiyang Yu, Ravi Ramamoorthi

Weakly- and Semi-Supervised Panoptic Segmentation

Qizhu Li, Anurag Arnab, Philip H.S. Torr

ActiveStereoNet: End-to-End Self-Supervised Learning for Active Stereo Systems

Yinda Zhang, Sameh Khamis, Christoph Rhemann, Julien Valentin, Adarsh Kowdle

BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation

Changqian Yu, Jingbo Wang, Chao Peng, Changxin Gao, Gang Yu

Depth-aware CNN for RGB-D Segmentation

Weiyue Wang, Ulrich Neumann

A Hybrid Model for Identity Obfuscation by Face Replacement

Qianru Sun, Ayush Tewari, Weipeng Xu, Mario Fritz, Christian Theobalt

LSQ++: Lower running time and higher recall in multi-codebook quantization

Julieta Martinez, Shobhit Zakhmi, Holger H. Hoos, James J. Little

Visual Coreference Resolution in Visual Dialog using Neural Module Networks

Satwik Kottur, José M. F. Moura, Devi Parikh, Dhruv Batra, Marcus Rohrbach

3D Ego-Pose Estimation via Imitation Learning

Ye Yuan, Kris Kitani

Scalable Exemplar-based Subspace Clustering on Class-Imbalanced Data

Chong You, Chi Li, Daniel P. Robinson, René Vidal

Improving Shape Deformation in Unsupervised Image-to-Image Translation

Aaron Gokaslan, Vivek Ramanujan, Daniel Ritchie, Kwang In Kim, James Tompkin

Single Image Highlight Removal with a Sparse and Low-Rank Reflection Model

Jie Guo, Zuojian Zhou, Limin Wang

Learning to Navigate for Fine-grained Classification

Ze Yang, Tiange Luo, Dong Wang, Zhiqiang Hu, Jun Gao

Part-Activated Deep Reinforcement Learning for Action Prediction

Lei Chen, Jiwen Lu, Zhanjie Song, Jie Zhou

EC-Net: an Edge-aware Point set Consolidation Network

Lequan Yu, Xianzhi Li, Chi-Wing Fu, Daniel Cohen-or, Pheng-Ann Heng

CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving

Xiaodan Liang, Tairui Wang, Luona Yang, Eric Xing

Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network

Namhyuk Ahn, Byungkon Kang, Kyung-ah Sohn

Deep Shape Matching

Filip Radenovic, Giorgos Tolias, Ondřej Chum

Transductive Centroid Projection for Semi-supervised Large-scale Recognition

Yu Liu, Guanglu Song, Jing Shao, Xiao Jin, Xiaogang Wang

Self-supervised Knowledge Distillation Using Singular Value Decomposition

Seung Hyun Lee, Dae Ha Kim, Byung Cheol Song

Dynamic Task Prioritization for Multitask Learning

Michelle Guo, Albert Haque, De-An Huang, Serena Yeung, Li Fei-fei

Single Shot Scene Text Retrieval

Lluis Gomez, Andres Mafla, Marcal Rusinol, Dimosthenis Karatzas

SAN: Learning Relationship between Convolutional Features for Multi-Scale Object Detection

Yonghyun Kim, Bong-Nam Kang, Daijin Kim

Multimodal Dual Attention Memory for Video Story Question Answering

Kyung-Min Kim, Seong-Ho Choi, Jin-Hwa Kim, Byoung-tak Zhang

A Systematic DNN Weight Pruning Framework using Alternating Direction Method of Multipliers

Tianyun Zhang, shaokai ye, Kaiqi Zhang, Jian Tang, Wujie Wen

On the Solvability of Viewing Graphs

Matthew Trager, Brian Osserman, Jean Ponce

DeepPhys: Video-Based Physiological Measurement Using Convolutional Attention Networks

Weixuan Chen, Daniel McDuff

Iterative Crowd Counting

Viresh Ranjan, Hieu Le, Minh Hoai

End-to-end View Synthesis for Light Field Imaging with Pseudo 4DCNN

Yunlong Wang, Fei Liu, Zilei Wang, Guangqi Hou, Zhenan Sun

Dependency-aware Attention Control for Unconstrained Face Recognition with Image Sets

Xiaofeng Liu, B.V.K Vijaya Kumar, Chao Yang, Qingming Tang, Jane You

SOD-MTGAN: Small Object Detection via Multi-Task Generative Adversarial Network

Yancheng Bai, Yongqiang Zhang, Mingli Ding, Bernard Ghanem

Inner Space Preserving Generative Pose Machine

Shuangjun Liu, Sarah Ostadabbas

Contextual-based Image Inpainting: Infer, Match, and Translate

Yuhang Song, Chao Yang, Zhe Lin, Xiaofeng Liu, Qin Huang

GAL: Geometric Adversarial Loss for Single-View 3D-Object Reconstruction

Li Jiang, Shaoshuai Shi, Xiaojuan Qi, Jiaya Jia

Women also Snowboard: Overcoming Bias in Captioning Models

Lisa Anne Hendricks, Kaylee Burns, Kate Saenko, Trevor Darrell, Anna Rohrbach

Correcting the Triplet Selection Bias for Triplet Loss

Baosheng Yu, Tongliang Liu, Mingming Gong, Changxing Ding, Dacheng Tao

X2Face: A network for controlling face generation using images, audio, and pose codes

Olivia Wiles, A. Sophia Koepke, Andrew Zisserman

Deep Reinforcement Learning with Iterative Shift for Visual Tracking

Liangliang Ren, Xin Yuan, Jiwen Lu, Ming Yang, Jie Zhou

Semi-Supervised Deep Learning with Memory

Yanbei Chen, Xiatian Zhu, Shaogang Gong

Unsupervised Video Object Segmentation using Motion Saliency-Guided Spatio-Temporal Propagation

Yuan-Ting Hu, Jia-Bin Huang, Alexander G. Schwing

MPLP++: Fast, Parallel Dual Block-Coordinate Ascent for Dense Graphical Models

Siddharth Tourani, Alexander Shekhovtsov, Carsten Rother, Bogdan Savchynskyy

SRDA: Generating Instance Segmentation Annotation via Scanning, Reasoning and Domain Adaptation

Wenqiang Xu, Yonglu Li, Cewu Lu

Deep Generative Models for Weakly-Supervised Multi-Label Classification

Hong-Min Chu, Chih-Kuan Yeh, Yu-Chiang Frank Wang

Grassmann Pooling as Compact Homogeneous Bilinear Pooling for Fine-Grained Visual Classification

Xing Wei, Yue Zhang, Yihong Gong, Jiawei Zhang, Nanning Zheng

ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking

Oliver Groth, Fabian B. Fuchs, Ingmar Posner, Andrea Vedaldi

HBE: Hand Branch Ensemble Network for Real-time 3D Hand Pose Estimation

Yidan Zhou, Jian Lu, Kuo Du, Xiangbo Lin, Yi Sun

PPF-FoldNet: Unsupervised Learning of Rotation Invariant 3D Local Descriptors

Haowen Deng, Tolga Birdal, Slobodan Ilic

PlaneMatch: Patch Coplanarity Prediction for Robust RGB-D Reconstruction

Yifei Shi, Kai Xu, Matthias Niessner, Szymon Rusinkiewicz, Thomas Funkhouser

Deep Multi-Task Learning to Recognise Subtle Facial Expressions of Mental States

Guosheng Hu, Li Liu, Yang Yuan, Zehao Yu, Yang Hua

Where Will They Go? Predicting Fine-Grained Adversarial Multi-Agent Motion using Conditional Variational Autoencoders

Panna Felsen, Patrick Lucey, Sujoy Ganguly

License Plate Detection and Recognition in Unconstrained Scenarios

Sergio Montazzolli Silva, Claudio Rosito Jung

Multi-Scale Structure-Aware Network for Human Pose Estimation

Lipeng Ke, Ming-Ching Chang, Honggang Qi, Siwei Lyu

Hierarchy of Alternating Specialists for Scene Recognition

Hyo Jin Kim, Jan-Michael Frahm

Adaptive Affinity Fields for Semantic Segmentation

Tsung-Wei Ke, jyh-Jing Hwang, Ziwei Liu, Stella X. Yu

Human Motion Analysis with Deep Metric Learning

Huseyin Coskun, David Joseph Tan, Sailesh Conjeti, Nassir Navab, Federico Tombari

Long-term Tracking in the Wild: a Benchmark

Jack Valmadre, Luca Bertinetto, João F. Henriques, Ran Tao, Andrea Vedaldi

Extending Layered Models to 3D Motion

DONG LAO, Ganesh Sundaramoorthi

A Framework for Evaluating 6-DOF Object Trackers

Mathieu Garon, Denis Laurendeau, Jean-Francois Lalonde

RESOUND: Towards Action Recognition without Representation Bias

Yingwei Li, Yi Li, Nuno Vasconcelos

Specular-to-Diffuse Translation for Multi-View Reconstruction

Shihao Wu, Hui Huang, Tiziano Portenier, Matan Sela, Daniel Cohen-or

Improving Sequential Determinantal Point Processes for Supervised Video Summarization

Aidean Sharghi, Ali Borji, Chengtao Li, Tianbao Yang, Boqing Gong

Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation

Zhengming Ding, Sheng Li, Ming Shao, Yun Fu

Multi-Scale Spatially-Asymmetric Recalibration for Image Classification

Yan Wang, Lingxi Xie, Siyuan Qiao, Ya Zhang, Wenjun Zhang

Materials for Masses: SVBRDF Acquisition with a Single Mobile Phone Image

Zhengqin Li, Kalyan Sunkavalli, Manmohan Chandraker

Learning Single-View 3D Reconstruction with Limited Pose Supervision

Guandao Yang, Yin Cui, Serge Belongie, Bharath Hariharan

Semi-Supervised Generative Adversarial Hashing for Image Retrieval

Guan'an Wang, Qinghao Hu, Jian Cheng, Zengguang Hou

Image Super-Resolution Using Very Deep Residual Channel Attention Networks

Yulun Zhang, Kunpeng Li, Kai Li, Lichen Wang, Bineng Zhong

Analyzing Clothing Layer Deformation Statistics of 3D Human Motions

Jinlong Yang, Jean-Sebastien Franco, Franck Hetroy-Wheeler, Stefanie Wuhrer

Monocular Depth Estimation Using Whole Strip Masking and Reliability-Based Refinement

Minhyeok Heo, Jaehan Lee, Kyung-Rae Kim, Han-Ul Kim, Chang-Su Kim

Joint Camera Spectral Sensitivity Selection and Hyperspectral Image Recovery

Ying Fu, Tao Zhang, Yinqiang Zheng, Debing Zhang, Hua Huang

Distortion-Aware Convolutional Filters for Dense Prediction in Panoramic Images

Keisuke Tateno, Nassir Navab, Federico Tombari

Attribute-Guided Face Generation Using Conditional CycleGAN

Yongyi Lu, Yu-Wing Tai, Chi-Keung Tang

Integrating Egocentric Videos in Top-view Surveillance Videos: Joint Identification and Temporal Alignment

Shervin Ardeshir, Ali Borji

Unsupervised Learning of Multi-Frame Optical Flow with Occlusions

Joel Janai, Fatma Guney, Anurag Ranjan, Michael Black, Andreas Geiger

HandMap: Robust Hand Pose Estimation via Intermediate Dense Guidance Map Supervision

Xiaokun Wu, Daniel Finnegan, Eamonn O'Neill, Yong-Liang Yang

Revisiting RCNN: On Awakening the Classification Power of Faster RCNN

Bowen Cheng, Yunchao Wei, Honghui Shi, Rogerio Feris, Jinjun Xiong

Exploring the Limits of Weakly Supervised Pretraining

Dhruv Mahajan, Ross Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri

Online Detection of Action Start in Untrimmed, Streaming Videos

Zheng Shou, Junting Pan, Jonathan Chan, Kazuyuki Miyazawa, Hassan Mansour

ForestHash: Semantic Hashing With Shallow Random Forests and Tiny Convolutional Networks

Qiang Qiu, José Lezama, Alex Bronstein, Guillermo Sapiro

Learning 3D Human Pose from Structure and Motion

Rishabh Dabral, Anurag Mundhada, Uday Kusupati, Safeer Afaque, Abhishek Sharma

Attentive Semantic Alignment with Offset-Aware Correlation Kernels

Paul Hongsuck Seo, Jongmin Lee, Deunsol Jung, Bohyung Han, Minsu Cho

Localization Recall Precision (LRP): A New Performance Metric for Object Detection

Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan

Unsupervised CNN-based Co-Saliency Detection with Graphical Optimization

Kuang-Jui Hsu, Chung-Chi Tsai, Yen-yu Lin, Xiaoning Qian, Yung-Yu Chuang

Exploiting temporal information for 3D human pose estimation

Mir Rayat Imtiaz Hossain, James J. Little

Liquid Pouring Monitoring via Rich Sensory Inputs

Tz-Ying Wu, Juan-Ting Lin, Tsun-Hsuang Wang, Chan-Wei Hu, Juan Carlos Niebles

Flow-Grounded Spatial-Temporal Video Prediction from Still Images

Yijun Li, Chen Fang, Jimei Yang, Zhaowen Wang, Xin Lu