CVPR 2019

1,294 papers

Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation

Shanshan Zhao, Huan Fu, Mingming Gong, Dacheng Tao

Learning View Priors for Single-View 3D Reconstruction

Hiroharu Kato, Tatsuya Harada

Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge Distillation for Unsupervised Monocular Depth Estimation

Andrea Pilzer, Stéphane Lathuilière, Nicu Sebe, Elisa Ricci

Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on N-Spheres

Shuai Liao, Efstratios Gavves, Cees G. M. Snoek

Learning to Explore Intrinsic Saliency for Stereoscopic Video

Qiudan Zhang, Xu Wang, Shiqi Wang, Shikai Li, Sam Kwong

Unsupervised Primitive Discovery for Improved 3D Generative Modeling

Salman H. Khan, Yulan Guo, Munawar Hayat, Nick Barnes

Monocular Depth Estimation Using Relative Depth Maps

Jae-Han Lee, Chang-Su Kim

Joint Face Detection and Facial Motion Retargeting for Multiple Faces

Bindita Chaudhuri, Noranart Vesdapunt, Baoyuan Wang

Volumetric Capture of Humans With a Single RGBD Camera via Semi-Parametric Learning

Rohit Pandey, Anastasia Tkach, Shuoran Yang, Pavel Pidlypenskyi, Jonathan Taylor

Minimal Solvers for Mini-Loop Closures in 3D Multi-Scan Alignment

Pedro Miraldo, Surojit Saha, Srikumar Ramalingam

Robust Point Cloud Based Reconstruction of Large-Scale Outdoor Scenes

Ziquan Lan, Zi Jian Yew, Gim Hee Lee

Radial Distortion Triangulation

Zuzana Kukelova, Viktor Larsson

3D Appearance Super-Resolution With Deep Learning

Yawei Li, Vagia Tsiminaki, Radu Timofte, Marc Pollefeys, Luc Van Gool

Learning to Adapt for Stereo

Alessio Tonioni, Oscar Rahnama, Thomas Joy, Luigi Di Stefano, Thalaiyasingam Ajanthan

Conditional Single-View Shape Generation for Multi-View Stereo Reconstruction

Yi Wei, Shaohui Liu, Wang Zhao, Jiwen Lu

VITAMIN-E: VIsual Tracking and MappINg With Extremely Dense Feature Points

Masashi Yokozuka, Shuji Oishi, Simon Thompson, Atsuhiko Banno

Octree Guided CNN With Spherical Kernels for 3D Point Clouds

Huan Lei, Naveed Akhtar, Ajmal Mian

PointConv: Deep Convolutional Networks on 3D Point Clouds

Wenxuan Wu, Zhongang Qi, Li Fuxin

Tightness-Aware Evaluation Protocol for Scene Text Detection

Yuliang Liu, LianWen Jin, Zecheng Xie, Canjie Luo, Shuaitao Zhang

ABC: A Big CAD Model Dataset for Geometric Deep Learning

Sebastian Koch, Albert Matveev, Zhongshi Jiang, Francis Williams, Alexey Artemov

MVTec AD -- A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection

Paul Bergmann, Michael Fauser, David Sattlegger, Carsten Steger

Label Efficient Semi-Supervised Learning via Graph Filtering

Qimai LI, Xiao-ming Wu, Han Liu, Xiaotong Zhang, Zhichao Guan

REPAIR: Removing Representation Bias by Dataset Resampling

Yi Li, Nuno Vasconcelos

Explicit Bias Discovery in Visual Question Answering Models

Varun Manjunatha, Nirat Saini, Larry S. Davis

On Zero-Shot Recognition of Generic Objects

Tristan Hascoet, Yasuo Ariki, Tetsuya Takiguchi

ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features

Yue Wu, Wael AbdAlmageed, Premkumar Natarajan

A Cross-Season Correspondence Dataset for Robust Semantic Segmentation

Mans Larsson, Erik Stenborg, Lars Hammarstrand, Marc Pollefeys, Torsten Sattler

DFANet: Deep Feature Aggregation for Real-Time Semantic Segmentation

Hanchao Li, Pengfei Xiong, Haoqiang Fan, Jian Sun

Convolutional Recurrent Network for Road Boundary Extraction

Justin Liang, Namdar Homayounfar, Wei-Chiu Ma, Shenlong Wang, Raquel Urtasun

Learning Multi-Class Segmentations From Single-Class Datasets

Konstantin Dmitriev, Arie E. Kaufman

PartNet: A Recursive Part Decomposition Network for Fine-Grained and Hierarchical Shape Segmentation

Fenggen Yu, Kun Liu, Yan Zhang, Chenyang Zhu, Kai Xu

FEELVOS: Fast End-To-End Embedding Learning for Video Object Segmentation

Paul Voigtlaender, Yuning Chai, Florian Schroff, Hartwig Adam, Bastian Leibe

Unsupervised Domain Adaptation Using Feature-Whitening and Consensus Loss

Subhankar Roy, Aliaksandr Siarohin, Enver Sangineto, Samuel Rota Bulò, Nicu Sebe

Variational Prototyping-Encoder: One-Shot Learning With Prototypical Images

Junsik Kim, Tae-Hyun Oh, Seokju Lee, Fei Pan, In So Kweon

Object Detection With Location-Aware Deformable Convolution and Backward Attention Filtering

Chen Zhang, Joohee Kim

Kernel Transformer Networks for Compact Spherical Convolution

Yu-Chuan Su, Kristen Grauman

Aditya Arun, C.V. Jawahar, M. Pawan Kumar

Explore-Exploit Graph Traversal for Image Retrieval

Cheng Chang, Guangwei Yu, Chundi Liu, Maksims Volkovs

You Reap What You Sow: Using Videos to Generate High Precision Object Proposals for Weakly-Supervised Object Detection

Krishna Kumar Singh, Yong Jae Lee

Panoptic Segmentation

Alexander Kirillov, Kaiming He, Ross Girshick, Carsten Rother, Piotr Dollár

Explicit Spatial Encoding for Deep Local Descriptors

Arun Mukundan, Giorgos Tolias, Ondřej Chum

Attentive Region Embedding Network for Zero-Shot Learning

Guo-sen Xie, Li Liu, Xiaobo Jin, Fan Zhu, Zheng Zhang

Effective Aesthetics Prediction With Multi-Level Spatially Pooled Features

Vlad Hosu, Bastian Goldlucke, Dietmar Saupe

Character Region Awareness for Text Detection

Youngmin Baek, Bado Lee, Dongyoon Han, Sangdoo Yun, Hwalsuk Lee

MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors

Lile Cai, Bin Zhao, Zhe Wang, Jie Lin, Chuan Sheng Foo

Dual Encoding for Zero-Example Video Retrieval

Jianfeng Dong, Xirong Li, Chaoxi Xu, Shouling Ji, Yuan He

Shape Robust Text Detection With Progressive Scale Expansion Network

Wenhai Wang, Enze Xie, Xiang Li, Wenbo Hou, Tong Lu

Rare Event Detection Using Disentangled Representation Learning

Ryuhei Hamaguchi, Ken Sakurada, Ryosuke Nakamura

Interaction-And-Aggregation Network for Person Re-Identification

Ruibing Hou, Bingpeng MA, Hong Chang, Xinqian Gu, Shiguang Shan

Deformable ConvNets V2: More Deformable, Better Results

Xizhou Zhu, Han Hu, Stephen Lin, Jifeng Dai

Spatial-Aware Graph Relation Network for Large-Scale Object Detection

Hang Xu, ChenHan Jiang, Xiaodan Liang, Zhenguo Li

Min-Max Statistical Alignment for Transfer Learning

Samitha Herath, Mehrtash Harandi, Basura Fernando, Richard Nock

Discovering Visual Patterns in Art Collections With Spatially-Consistent Feature Learning

Xi SHEN, Alexei A. Efros, Mathieu Aubry

Class-Balanced Loss Based on Effective Number of Samples

Yin Cui, Menglin Jia, Tsung-Yi Lin, Yang Song, Serge Belongie

Dense Classification and Implanting for Few-Shot Learning

Yann Lifchitz, Yannis Avrithis, Sylvaine Picard, Andrei Bursuc

Deep Multimodal Clustering for Unsupervised Audiovisual Learning

Di Hu, Feiping Nie, Xuelong Li

Embedding Complementary Deep Networks for Image Classification

Qiuyu Chen, Wei Zhang, Jun Yu, Jianping Fan

Catastrophic Child's Play: Easy to Perform, Hard to Defend Adversarial Attacks

Chih-Hui Ho, Brandon Leung, Erik Sandstrom, Yen Chang, Nuno Vasconcelos

Propagation Mechanism for Deep and Wide Neural Networks

Dejiang Xu, Mong Li Lee, Wynne Hsu

Exploiting Edge Features for Graph Neural Networks

Liyu Gong, Qiang Cheng

Assisted Excitation of Activations: A Learning Technique to Improve Object Detectors

Mohammad Mahdi Derakhshani, Saeed Masoudnia, Amir Hossein Shaker, Omid Mersa, Mohammad Amin Sadeghi

ESPNetv2: A Light-Weight, Power Efficient, and General Purpose Convolutional Neural Network

Sachin Mehta, Mohammad Rastegari, Linda Shapiro, Hannaneh Hajishirzi

SpherePHD: Applying CNNs on a Spherical PolyHeDron Representation of 360deg Images

Yeonkun Lee, Jaeseok Jeong, Jongseob Yun, Wonjune Cho, Kuk-Jin Yoon

You Look Twice: GaterNet for Dynamic Filter Selection in CNNs

Zhourong Chen, Yang Li, Samy Bengio, Si Si

Variational Information Distillation for Knowledge Transfer

Sungsoo Ahn, Shell Xu Hu, Andreas Damianou, Neil D. Lawrence, Zhenwen Dai

Memory in Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity From Spatiotemporal Dynamics

Yunbo Wang, Jianjin Zhang, Hongyu Zhu, Mingsheng Long, Jianmin Wang

Partial Order Pruning: For Best Speed/Accuracy Trade-Off in Neural Architecture Search

Xin Li, Yiming Zhou, Zheng Pan, Jiashi Feng

Generating 3D Adversarial Point Clouds

Chong Xiang, Charles R. Qi, Bo Li

Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells

Vladimir Nekrasov, Hao Chen, Chunhua Shen, Ian Reid

MBS: Macroblock Scaling for CNN Model Reduction

Yu-Hsun Lin, Chun-Nan Chou, Edward Y. Chang

Structured Pruning of Neural Networks With Budget-Aware Regularization

Carl Lemaire, Andrew Achkar, Pierre-Marc Jodoin

Interpretable and Fine-Grained Visual Explanations for Convolutional Neural Networks

Jörg Wagner, Jan Mathias Kohler, Tobias Gindele, Leon Hetzel, Jakob Thaddaus Wiedemer

SparseFool: A Few Pixels Make a Big Difference

Apostolos Modas, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard

Robustness via Curvature Regularization, and Vice Versa

Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Jonathan Uesato, Pascal Frossard

Deep Incremental Hashing Network for Efficient Image Retrieval

Dayan Wu, Qi Dai, Jing Liu, Bo Li, Weiping Wang

EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching From Scratch

Jian Ren, Zhe Li, Jianchao Yang, Ning Xu, Tianbao Yang

Fully Learnable Group Convolution for Acceleration of Deep Neural Networks

Xijun Wang, Meina Kan, Shiguang Shan, Xilin Chen

Attention-Based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions

Masanori Suganuma, Xing Liu, Takayuki Okatani

Learning for Single-Shot Confidence Calibration in Deep Neural Networks Through Stochastic Inferences

Seonguk Seo, Paul Hongsuck Seo, Bohyung Han

IRLAS: Inverse Reinforcement Learning for Architecture Search

Minghao Guo, Zhao Zhong, Wei Wu, Dahua Lin, Junjie Yan

Learning Not to Learn: Training Deep Neural Networks With Biased Data

Byungju Kim, Hyunwoo Kim, Kyungsu Kim, Sungjin Kim, Junmo Kim

Transferable AutoML by Model Sharing Over Grouped Datasets

Chao Xue, Junchi Yan, Rong Yan, Stephen M. Chu, Yonggang Hu

Deep Robust Subjective Visual Property Prediction in Crowdsourcing

Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang

TraVeLGAN: Image-To-Image Translation by Transformation Vector Learning

Matthew Amodio, Smita Krishnaswamy

Cross Domain Model Compression by Structurally Weight Sharing

Shangqian Gao, Cheng Deng, Heng Huang

A Flexible Convolutional Solver for Fast Style Transfers

Gilles Puy, Patrick Pérez

A Generative Appearance Model for End-To-End Video Object Segmentation

Joakim Johnander, Martin Danelljan, Emil Brissman, Fahad Shahbaz Khan, Michael Felsberg

Learning Personalized Modular Network Guided by Structured Knowledge

Xiaodan Liang

Efficient Parameter-Free Clustering Using First Neighbor Relations

Saquib Sarfraz, Vivek Sharma, Rainer Stiefelhagen

Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images

Wuyang Chen, Ziyu Jiang, Zhangyang Wang, Kexin Cui, Xiaoning Qian

BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames

Brent A. Griffin, Jason J. Corso

Enhancing Diversity of Defocus Blur Detectors via Cross-Ensemble Network

Wenda Zhao, Bowen Zheng, Qiuhua Lin, Huchuan Lu

Relation-Shape Convolutional Neural Network for Point Cloud Analysis

Yongcheng Liu, Bin Fan, SHIMING XIANG, Chunhong Pan

Semantic Correlation Promoted Shape-Variant Context for Segmentation

Henghui Ding, Xudong Jiang, Bing Shuai, Ai Qun Liu, Gang Wang

Shape2Motion: Joint Analysis of Motion Parts and Attributes From 3D Shapes

Xiaogang Wang, Bin Zhou, Yahao Shi, Xiaowu Chen, Qinping Zhao

Accel: A Corrective Fusion Network for Efficient Semantic Segmentation on Video

Samvit Jain, Xin Wang, Joseph E. Gonzalez

Improving Semantic Segmentation via Video Propagation and Label Relaxation

Yi Zhu, Karan Sapra, Fitsum A. Reda, Kevin J. Shih, Shawn Newsam

DeepCO3: Deep Instance Co-Segmentation by Co-Peak Search and Co-Saliency Detection

Kuang-Jui Hsu, Yen-yu Lin, Yung-Yu Chuang

Instance Segmentation by Jointly Optimizing Spatial Embeddings and Clustering Bandwidth

Davy Neven, Bert De Brabandere, Marc Proesmans, Luc Van Gool

JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds With Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields

Quang-Hieu Pham, Thanh Nguyen, Binh-Son Hua, Gemma Roig, Sai-Kit Yeung