ICCV 2019

1,075 papers

Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation

Linfeng Zhang, Jiebo Song, Anni Gao, Jingwei Chen, Chenglong Bao

Omni-Scale Feature Learning for Person Re-Identification

Kaiyang Zhou, Yongxin Yang, Andrea Cavallaro, Tao Xiang

Batch DropBlock Network for Person Re-Identification and Beyond

Zuozhuo Dai, Mingqiang Chen, Xiaodong Gu, Siyu Zhu, Ping Tan

One-Shot Neural Architecture Search via Self-Evaluated Template Network

Xuanyi Dong, Yi Yang

Active Learning for Deep Detection Neural Networks

Hamed H. Aghdam, Abel Gonzalez-Garcia, Joost van de Weijer, Antonio M. Lopez

Semantic-Aware Knowledge Preservation for Zero-Shot Sketch-Based Image Retrieval

Qing Liu, Lingxi Xie, Huiyu Wang, Alan L. Yuille

Person Search by Text Attribute Query As Zero-Shot Learning

Qi Dong, Shaogang Gong, Xiatian Zhu

Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification

Jianyuan Guo, YUHUI YUAN, Lang Huang, Chao Zhang, Jin-ge Yao

EvalNorm: Estimating Batch Normalization Statistics for Evaluation

Saurabh Singh, Abhinav Shrivastava

RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment

Guan'an Wang, Tianzhu Zhang, Jian Cheng, Si Liu, Yang Yang

Deep Multiple-Attribute-Perceived Network for Real-World Texture Recognition

Wei Zhai, Yang Cao, Jing Zhang, Zheng-Jun Zha

Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning

Limeng Qiao, Yemin Shi, Jia Li, Yaowei Wang, Tiejun Huang

Task-Driven Modular Networks for Zero-Shot Compositional Learning

Senthil Purushwalkam, Maximilian Nickel, Abhinav Gupta, Marc'aurelio Ranzato

Rethinking Zero-Shot Learning: A Conditional Visual Classification Perspective

Kai Li, Martin Renqiang Min, Yun Fu

Online Model Distillation for Efficient Video Inference

Ravi Teja Mullapudi, Steven Chen, Keyi Zhang, Deva Ramanan, Kayvon Fatahalian

Dynamic Multi-Scale Filters for Semantic Segmentation

Junjun He, Zhongying Deng, Yu Qiao

HarDNet: A Low Memory Traffic Network

Ping Chao, Chao-Yang Kao, Yu-Shan Ruan, Chien-Hsiang Huang, Youn-Long Lin

Differentiable Learning-to-Group Channels via Groupable Convolutional Neural Networks

Zhaoyang Zhang, Jingyu Li, Wenqi Shao, zhanglin peng, Ruimao Zhang

Orientation-Aware Semantic Segmentation on Icosahedron Spheres

Chao Zhang, Stephan Liwicki, William Smith, Roberto Cipolla

Deep Closest Point: Learning Representations for Point Cloud Registration

Yue Wang, Justin M. Solomon

Data-Free Learning of Student Networks

Hanting Chen, Yunhe Wang, Chang Xu, Zhaohui Yang, Chuanjian Liu

Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation

Chengchao Shen, Mengqi Xue, Xinchao Wang, Jie Song, Li Sun

Approximated Bilinear Modules for Temporal Modeling

Xinqi Zhu, Chang Xu, Langwen Hui, Cewu Lu, Dacheng Tao

Deep Residual Learning in the JPEG Transform Domain

Max Ehrlich, Larry S. Davis

DiscoNet: Shapes Learning on Disconnected Manifolds for 3D Editing

Éloi Mehr, Ariane Jourdan, Nicolas Thome, Matthieu Cord, Vincent Guitteny

Local Relation Networks for Image Recognition

Han Hu, Zheng Zhang, Zhenda Xie, Stephen Lin

Learned Video Compression

Oren Rippel, Sanjay Nair, Carissa Lew, Steve Branson, Alexander G. Anderson

Domain Intersection and Domain Difference

Sagie Benaim, Michael Khaitov, Tomer Galanti, Lior Wolf

Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks With Octave Convolution

Yunpeng Chen, haoqi fan, Bing Xu, Zhicheng Yan, Yannis Kalantidis

AttentionRNN: A Structured Spatial Attention Mechanism

Siddhesh Khandelwal, Leonid Sigal

Patchwork: A Patch-Wise Attention Network for Efficient Object Detection and Segmentation in Video Streams

Yuning Chai

Information Entropy Based Feature Pooling for Convolutional Neural Networks

Weitao Wan, Jiansheng Chen, Tianpeng Li, Yiqing Huang, Jingqi Tian

Hyperpixel Flow: Semantic Correspondence With Multi-Layer Neural Features

Juhong Min, Jongmin Lee, Jean Ponce, Minsu Cho

Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks

Aamir Mustafa, Salman Khan, Munawar Hayat, Roland Goecke, Jianbing Shen

Conditional Coupled Generative Adversarial Networks for Zero-Shot Domain Adaptation

Jinghua Wang, Jianmin Jiang

Global Feature Guided Local Pooling

Takumi Kobayashi

LIP: Local Importance-Based Pooling

Ziteng Gao, Limin Wang, Gangshan Wu

Label-PEnet: Sequential Label Propagation and Enhancement Networks for Weakly Supervised Instance Segmentation

Weifeng Ge, Sheng Guo, Weilin Huang, Matthew R. Scott

Continual Learning by Asymmetric Loss Approximation With Single-Side Overestimation

Dongmin Park, Seokil Hong, Bohyung Han, Kyoung Mu Lee

O2U-Net: A Simple Noisy Label Detection Approach for Deep Neural Networks

Jinchi Huang, Lie Qu, Rongfei Jia, Binqiang Zhao

HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions

Duo Li, Aojun Zhou, Anbang Yao

Accelerate CNN via Recursive Bayesian Pruning

Yuefu Zhou, Ya Zhang, Yanfeng Wang, Qi Tian

MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning

Zechun Liu, Haoyuan Mu, Xiangyu Zhang, Zichao Guo, Xin Yang

Attention Augmented Convolutional Networks

Irwan Bello, Barret Zoph, Ashish Vaswani, Jonathon Shlens, Quoc V. Le

LAP-Net: Level-Aware Progressive Network for Image Dehazing

Yunan Li, Qiguang Miao, Wanli Ouyang, Zhenxin Ma, Huijuan Fang

Indices Matter: Learning to Index for Deep Image Matting

Hao Lu, Yutong Dai, Chunhua Shen, Songcen Xu

Controlling Neural Networks via Energy Dissipation

Michael Moeller, Thomas Möllenhoff, Daniel Cremers

Self-Supervised Representation Learning From Multi-Domain Data

Zeyu Feng, Chang Xu, Dacheng Tao

Co-Evolutionary Compression for Unpaired Image Translation

Han Shu, Yunhe Wang, Xu Jia, Kai Han, Hanting Chen

AutoGAN: Neural Architecture Search for Generative Adversarial Networks

Xinyu Gong, Shiyu Chang, Yifan Jiang, Zhangyang Wang

Dynamic-Net: Tuning the Objective Without Re-Training for Synthesis Tasks

Alon Shoshan, Roey Mechrez, Lihi Zelnik-Manor

Adversarial Feedback Loop

Firas Shama, Roey Mechrez, Alon Shoshan, Lihi Zelnik-Manor

SENSE: A Shared Encoder Network for Scene-Flow Estimation

Huaizu Jiang, Deqing Sun, Varun Jampani, Zhaoyang Lv, Erik Learned-Miller

Seeing Motion in the Dark

Chen Chen, Qifeng Chen, Minh N. Do, Vladlen Koltun

Bottleneck Potentials in Markov Random Fields

Ahmed Abbas, Paul Swoboda

Noise Flow: Noise Modeling With Conditional Normalizing Flows

Abdelrahman Abdelhamed, Marcus A. Brubaker, Michael S. Brown

Real Image Denoising With Feature Attention

Saeed Anwar, Nick Barnes

Variable Rate Deep Image Compression With a Conditional Autoencoder

Yoojin Choi, Mostafa El-Khamy, Jungwon Lee

DSIC: Deep Stereo Image Compression

Jerry Liu, Shenlong Wang, Raquel Urtasun

Dynamic PET Image Reconstruction Using Nonnegative Matrix Factorization Incorporated With Deep Image Prior

Tatsuya Yokota, Kazuya Kawai, Muneyuki Sakata, Yuichi Kimura, Hidekata Hontani

Deep SR-ITM: Joint Learning of Super-Resolution and Inverse Tone-Mapping for 4K UHD HDR Applications

Soo Ye Kim, Jihyong Oh, Munchurl Kim

Progressive Fusion Video Super-Resolution Network via Exploiting Non-Local Spatio-Temporal Correlations

Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Jiayi Ma

RankSRGAN: Generative Adversarial Networks With Ranker for Image Super-Resolution

Wenlong Zhang, Yihao Liu, Chao Dong, Yu Qiao

Toward Real-World Single Image Super-Resolution: A New Benchmark and a New Model

Jianrui Cai, Hui Zeng, Hongwei Yong, Zisheng Cao, Lei Zhang

Wavelet Domain Style Transfer for an Effective Perception-Distortion Tradeoff in Single Image Super-Resolution

Xin Deng, Ren Yang, Mai Xu, Pier Luigi Dragotti

Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid

Zhanghui Kuang, Yiming Gao, Guanbin Li, Ping Luo, Yimin Chen

Learning Combinatorial Embedding Networks for Deep Graph Matching

Runzhong Wang, Junchi Yan, Xiaokang Yang

Siamese Networks: The Tale of Two Manifolds

Soumava Kumar Roy, Mehrtash Harandi, Richard Nock, Richard Hartley

Unsupervised Neural Quantization for Compressed-Domain Similarity Search

Stanislav Morozov, Artem Babenko

Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval

Shupeng Su, Zhisheng Zhong, Chao Zhang

AFD-Net: Aggregated Feature Difference Learning for Cross-Spectral Image Patch Matching

Dou Quan, Xuefeng Liang, Shuang Wang, Shaowei Wei, Yanfeng Li

CARAFE: Content-Aware ReAssembly of FEatures

Jiaqi Wang, Kai Chen, Rui Xu, Ziwei Liu, Chen Change Loy

AdaTransform: Adaptive Data Transformation

Zhiqiang Tang, Xi Peng, Tingfeng Li, Yizhe Zhu, Dimitris N. Metaxas

Linearized Multi-Sampling for Differentiable Image Transformation

Wei Jiang, Weiwei Sun, Andrea Tagliasacchi, Eduard Trulls, Kwang Moo Yi

Bayes-Factor-VAE: Hierarchical Bayesian Deep Auto-Encoder Models for Factor Disentanglement

Minyoung Kim, Yuting Wang, Pritish Sahu, Vladimir Pavlovic

Learning Local Descriptors With a CDF-Based Dynamic Soft Margin

Linguang Zhang, Szymon Rusinkiewicz

Unsupervised Pre-Training of Image Features on Non-Curated Data

Mathilde Caron, Piotr Bojanowski, Julien Mairal, Armand Joulin

Understanding Deep Networks via Extremal Perturbations and Smooth Masks

Ruth Fong, Mandela Patrick, Andrea Vedaldi

Universal Adversarial Perturbation via Prior Driven Uncertainty Approximation

Hong Liu, Rongrong Ji, Jie Li, Baochang Zhang, Yue Gao

Sampling-Free Epistemic Uncertainty Estimation Using Approximated Variance Propagation

Janis Postels, Francesco Ferroni, Huseyin Coskun, Nassir Navab, Federico Tombari

3D-RelNet: Joint Object and Relational Network for 3D Prediction

Nilesh Kulkarni, Ishan Misra, Shubham Tulsiani, Abhinav Gupta

Aggregation via Separation: Boosting Facial Landmark Detector With Semi-Supervised Style Translation

Shengju Qian, Keqiang Sun, Wayne Wu, Chen Qian, Jiaya Jia

Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification

Yu-Jhe Li, Yun-Chun Chen, Yen-yu Lin, Xiaofei Du, Yu-Chiang Frank Wang

Attention Bridging Network for Knowledge Transfer

Kunpeng Li, Yulun Zhang, Kai Li, Yuanyuan Li, Yun Fu

Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once

Jiangfan Han, Xiaoyi Dong, Ruimao Zhang, Dongdong Chen, Weiming Zhang

3D-LaneNet: End-to-End 3D Multiple Lane Detection

Noa Garnett, Rafi Cohen, Tomer Pe'er, Roee Lahav, Dan Levi

DAGMapper: Learning to Map by Discovering Lane Topology

Namdar Homayounfar, Wei-Chiu Ma, Justin Liang, Xinyu Wu, Jack Fan

6-DOF GraspNet: Variational Grasp Generation for Object Manipulation

Arsalan Mousavian, Clemens Eppner, Dieter Fox

Learning Aberrance Repressed Correlation Filters for Real-Time UAV Tracking

Ziyuan Huang, Changhong Fu, Yiming Li, Fuling Lin, Peng Lu

Situational Fusion of Visual Representation for Visual Navigation

William B. Shen, Danfei Xu, Yuke Zhu, Leonidas J. Guibas, Li Fei-fei

CamNet: Coarse-to-Fine Retrieval for Camera Re-Localization

Mingyu Ding, Zhe Wang, Jiankai Sun, Jianping Shi, Ping Luo

TextPlace: Visual Place Recognition and Topological Localization Through Reading Scene Texts

Ziyang Hong, Yvan Petillot, David Lane, Yishu Miao, Sen Wang

Sequential Adversarial Learning for Self-Supervised Deep Visual Odometry

Shunkai Li, Fei Xue, Xin Wang, Zike Yan, Hongbin Zha

Local Supports Global: Deep Camera Relocalization With Sequence Enhancement

Fei Xue, Xin Wang, Zike Yan, Qiuyuan Wang, Junqiu Wang

LPD-Net: 3D Point Cloud Learning for Large-Scale Place Recognition and Environment Analysis

Zhe Liu, Shunbo Zhou, Chuanzhe Suo, Peng Yin, Wen Chen

PRECOG: PREdiction Conditioned on Goals in Visual Multi-Agent Settings

Nicholas Rhinehart, Rowan McAllister, Kris Kitani, Sergey Levine

Depth Completion From Sparse LiDAR Data With Depth-Normal Constraints

Yan Xu, Xinge ZHU, Jianping Shi, Guofeng Zhang, Hujun Bao

Drive&Act: A Multi-Modal Dataset for Fine-Grained Driver Behavior Recognition in Autonomous Vehicles

Manuel Martin, Alina Roitberg, Monica Haurilet, Matthias Horne, Simon Reiss

Prior Guided Dropout for Robust Visual Localization in Dynamic Environments

Zhaoyang Huang, Yan Xu, Jianping Shi, Xiaowei Zhou, Hujun Bao

Mono-SF: Multi-View Geometry Meets Single-View Depth for Monocular Scene Flow Estimation of Dynamic Traffic Scenes

Fabian Brickwedde, Steffen Abraham, Rudolf Mester