ICCV 2019

1,075 papers

CIIDefence: Defeating Adversarial Attacks by Fusing Class-Specific Image Inpainting and Image Denoising

Puneet Gupta, Esa Rahtu

Attribute Attention for Semantic Disambiguation in Zero-Shot Learning

Yang Liu, Jishun Guo, Deng Cai, Xiaofei He

An Empirical Study of Spatial Attention Mechanisms in Deep Networks

Xizhou Zhu, Dazhi Cheng, Zheng Zhang, Stephen Lin, Jifeng Dai

Object Guided External Memory Network for Video Object Detection

Hanming Deng, Yang Hua, Tao Song, Zongpu Zhang, Zhengui XUE

Multi-Adversarial Faster-RCNN for Unrestricted Object Detection

Zhenwei He, Lei Zhang

PARN: Position-Aware Relation Networks for Few-Shot Learning

Ziyang Wu, Yuwei Li, Lihua Guo, Kui Jia

Auto-FPN: Automatic Network Architecture Adaptation for Object Detection Beyond Classification

Hang Xu, Lewei Yao, Wei Zhang, Xiaodan Liang, Zhenguo Li

View Confusion Feature Learning for Person Re-Identification

Fangyi Liu, Lei Zhang

Bilateral Adversarial Training: Towards Fast Training of More Robust Models Against Adversarial Attacks

Jianyu Wang, Haichao Zhang

Incremental Learning Using Conditional Adversarial Networks

Ye Xiang, Ying Fu, Pan Ji, Hua Huang

Dynamic Anchor Feature Selection for Single-Shot Object Detection

Shuai Li, Lingxiao Yang, Jianqiang Huang, Xian-Sheng Hua, Lei Zhang

Selective Sparse Sampling for Fine-Grained Image Recognition

Yao Ding, Yanzhao Zhou, Yi Zhu, Qixiang Ye, Jianbin Jiao

DANet: Divergent Activation for Weakly Supervised Object Localization

Haolan Xue, Chang Liu, Fang Wan, Jianbin Jiao, Xiangyang Ji

Online Hyper-Parameter Learning for Auto-Augmentation Strategy

CHEN LIN, Minghao Guo, Chuming Li, Xin Yuan, Wei Wu

CenterNet: Keypoint Triplets for Object Detection

Kaiwen Duan, Song Bai, Lingxi Xie, Honggang Qi, Qingming Huang

Simultaneous Multi-View Instance Detection With Learned Geometric Soft-Constraints

Ahmed Samy Nassar, Sébastien Lefèvre, Jan Dirk Wegner

Adversarial Learning With Margin-Based Triplet Embedding Regularization

Yaoyao Zhong, Weihong Deng

Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings

Pierre Jacob, David Picard, Aymeric Histace, Edouard Klein

Deep Elastic Networks With Model Selection for Multi-Task Learning

Chanho Ahn, Eunwoo Kim, Songhwai Oh

Symmetric Graph Convolutional Autoencoder for Unsupervised Graph Representation Learning

Jiwoong Park, Minsik Lee, Hyung Jin Chang, Kyuewang Lee, Jin Young Choi

Fast and Practical Neural Architecture Search

Jiequan Cui, Pengguang Chen, Ruiyu Li, Shu Liu, Xiaoyong Shen

Normalized Wasserstein for Mixture Distributions With Applications in Adversarial Learning and Domain Adaptation

Yogesh Balaji, Rama Chellappa, Soheil Feizi

Deep Metric Learning With Tuplet Margin Loss

Baosheng Yu, Dacheng Tao

AttPool: Towards Hierarchical Feature Representation in Graph Convolutional Networks via Attention Mechanism

Jingjia Huang, Zhangheng Li, Nannan Li, Shan Liu, Ge Li

Gaussian Affinity for Max-Margin Class Imbalanced Learning

Munawar Hayat, Salman Khan, Syed Waqas Zamir, Jianbing Shen, Ling Shao

A Weakly Supervised Fine Label Classifier Enhanced by Coarse Supervision

Fariborz Taherkhani, Hadi Kazemi, Ali Dabouei, Jeremy Dawson, Nasser M. Nasrabadi

SoftTriple Loss: Deep Metric Learning Without Triplet Sampling

Qi Qian, Lei Shang, Baigui Sun, Juhua Hu, Hao Li

Deep Clustering by Gaussian Mixture Variational Autoencoders With Graph Embedding

Linxiao Yang, Ngai-Man Cheung, Jiaying Li, Jun Fang

Task2Vec: Task Embedding for Meta-Learning

Alessandro Achille, Michael Lam, Rahul Tewari, Avinash Ravichandran, Subhransu Maji

Neural Inter-Frame Compression for Video Coding

Abdelaziz Djelouah, Joaquim Campos, Simone Schaub-Meyer, Christopher Schroers

KPConv: Flexible and Deformable Convolution for Point Clouds

Hugues Thomas, Charles R. Qi, Jean-Emmanuel Deschaud, Beatriz Marcotegui, Francois Goulette

Learning an Effective Equivariant 3D Descriptor Without Supervision

Riccardo Spezialetti, Samuele Salti, Luigi Di Stefano

Scaling and Benchmarking Self-Supervised Visual Representation Learning

Priya Goyal, Dhruv Mahajan, Abhinav Gupta, Ishan Misra

Spectral Regularization for Combating Mode Collapse in GANs

Kanglin Liu, Wenming Tang, Fei Zhou, Guoping Qiu

Learning Compositional Representations for Few-Shot Recognition

Pavel Tokmakov, Yu-Xiong Wang, Martial Hebert

Unsupervised Learning of Landmarks by Descriptor Vector Exchange

James Thewlis, Samuel Albanie, Hakan Bilen, Andrea Vedaldi

ViSiL: Fine-Grained Spatio-Temporal Video Similarity Learning

Giorgos Kordopatis-Zilos, Symeon Papadopoulos, Ioannis Patras, Ioannis Kompatsiaris

Unsupervised Procedure Learning via Joint Dynamic Summarization

Ehsan Elhamifar, Zwe Naing

Action Assessment by Joint Relation Graphs

Jia-Hui Pan, Jibin Gao, Wei-Shi Zheng

Temporal Attentive Alignment for Large-Scale Video Domain Adaptation

Min-Hung Chen, Zsolt Kira, Ghassan AlRegib, Jaekwon Yoo, Ruxin Chen

Non-Local Recurrent Neural Memory for Supervised Sequence Modeling

Canmiao Fu, Wenjie Pei, Qiong Cao, Chaopeng Zhang, Yong Zhao

Uncertainty-Aware Audiovisual Activity Recognition Using Deep Bayesian Variational Inference

Mahesh Subedar, Ranganath Krishnan, Paulo Lopez Meyer, Omesh Tickoo, Jonathan Huang

Dual Attention Matching for Audio-Visual Event Localization

Yu Wu, Linchao Zhu, Yan Yan, Yi Yang

Learning Motion in Feature Space: Locally-Consistent Deformable Convolution Networks for Fine-Grained Action Detection

Khoi-Nguyen C. Mac, Dhiraj Joshi, Raymond A. Yeh, Jinjun Xiong, Rogerio S. Feris

STGAT: Modeling Spatial-Temporal Interactions for Human Trajectory Prediction

Yingfan Huang, Huikun Bi, Zhaoxin Li, Tianlu Mao, Zhaoqi Wang

PIE: A Large-Scale Dataset and Models for Pedestrian Intention Estimation and Trajectory Prediction

Amir Rasouli, Iuliia Kotseruba, Toni Kunic, John K. Tsotsos

What Would You Expect? Anticipating Egocentric Actions With Rolling-Unrolling LSTMs and Modality Attention

Antonino Furnari, Giovanni Maria Farinella

Weakly Supervised Energy-Based Learning for Action Segmentation

Jun Li, Peng Lei, Sinisa Todorovic

SCSampler: Sampling Salient Clips From Video for Efficient Action Recognition

Bruno Korbar, Du Tran, Lorenzo Torresani

Multi-Agent Reinforcement Learning Based Frame Sampling for Effective Untrimmed Video Recognition

Wenhao Wu, Dongliang He, Xiao Tan, Shifeng Chen, Shilei Wen

Generative Multi-View Human Action Recognition

Lichen Wang, Zhengming Ding, Zhiqiang Tao, Yunyu Liu, Yun Fu

SlowFast Networks for Video Recognition

Christoph Feichtenhofer, haoqi fan, Jitendra Malik, Kaiming He

DynamoNet: Dynamic Action and Motion Network

Ali Diba, Vivek Sharma, Luc Van Gool, Rainer Stiefelhagen

Learning Discriminative Model Prediction for Tracking

Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte

FAMNet: Joint Learning of Feature, Affinity and Multi-Dimensional Assignment for Online Multiple Object Tracking

Peng Chu, Haibin Ling

GradNet: Gradient-Guided Network for Visual Object Tracking

Peixia Li, Boyu Chen, Wanli Ouyang, Dong Wang, Xiaoyun Yang

Learning Spatial Awareness to Improve Crowd Counting

Zhi-Qi Cheng, Jun-Xiu Li, Qi Dai, Xiao Wu, Alexander G. Hauptmann

Bayesian Loss for Crowd Count Estimation With Point Supervision

Zhiheng Ma, Xing Wei, Xiaopeng Hong, Yihong Gong

A Dual-Path Model With Adaptive Attention for Vehicle Re-Identification

Pirazh Khorramshahi, Amit Kumar, Neehar Peri, Sai Saketh Rambhatla, Jun-Cheng Chen

Deep Reinforcement Active Learning for Human-in-the-Loop Person Re-Identification

Zimo Liu, Jingya Wang, Shaogang Gong, Huchuan Lu, Dacheng Tao

Yang Fu, Yunchao Wei, Guanshuo Wang, Yuqian Zhou, Honghui Shi

Memory-Based Neighbourhood Embedding for Visual Recognition

Suichan Li, Dapeng Chen, Bin Liu, Nenghai Yu, Rui Zhao

Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection

Seunghyeon Kim, Jaehoon Choi, Taekyung Kim, Changick Kim

Transductive Learning for Zero-Shot Object Detection

Shafin Rahman, Salman Khan, Nick Barnes

Generative Modeling for Small-Data Object Detection

Lanlan Liu, Michael Muelly, Jia Deng, Tomas Pfister, Li-jia Li

Object-Aware Instance Labeling for Weakly Supervised Object Detection

Satoshi Kosugi, Toshihiko Yamasaki, Kiyoharu Aizawa

Scale-Aware Trident Networks for Object Detection

Yanghao Li, Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang

Scaling Object Detection by Transferring Classification Weights

Jason Kuen, Federico Perazzi, Zhe Lin, Jianming Zhang, Yap-Peng Tan

Towards Interpretable Object Detection by Unfolding Latent Structures

Tianfu Wu, Xi Song

CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features

Sangdoo Yun, Dongyoon Han, Seong Joon Oh, Sanghyuk Chun, Junsuk Choe

PR Product: A Substitute for Inner Product in Neural Networks

Zhennan Wang, Wenbin Zou, Chen Xu

Local Aggregation for Unsupervised Learning of Visual Embeddings

Chengxu Zhuang, Alex Lin Zhai, Daniel Yamins

Anchor Loss: Modulating Loss Scale Based on Prediction Difficulty

Serim Ryou, Seong-Gyun Jeong, Pietro Perona

Confidence Regularized Self-Training

Yang Zou, Zhiding Yu, Xiaofeng Liu, B.V.K. Vijaya Kumar, Jinsong Wang

Variational Adversarial Active Learning

Samarth Sinha, Sayna Ebrahimi, Trevor Darrell

Progressive Reconstruction of Visual Structure for Image Inpainting

Jingyuan Li, Fengxiang He, Lefei Zhang, Bo Du, Dacheng Tao

A Closed-Form Solution to Universal Style Transfer

Ming Lu, Hao Zhao, Anbang Yao, Yurong Chen, Feng Xu

Multimodal Style Transfer via Graph Cuts

Yulun Zhang, Chen Fang, Yilin Wang, Zhaowen Wang, Zhe Lin

Everybody Dance Now

Caroline Chan, Shiry Ginosar, Tinghui Zhou, Alexei A. Efros

Attribute-Driven Spontaneous Motion in Unpaired Image Translation

Ruizheng Wu, Xin Tao, Xiaodong Gu, Xiaoyong Shen, Jiaya Jia

RelGAN: Multi-Domain Image-to-Image Translation via Relative Attributes

Po-Wei Wu, Yu-Jing Lin, Che-Han Chang, Edward Y. Chang, Shih-Wei Liao

Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis

Wen Liu, Zhixin Piao, Jie Min, Wenhan Luo, Lin Ma

Algebraic Characterization of Essential Matrices and Their Averaging in Multiview Settings

Yoni Kasten, Amnon Geifman, Meirav Galun, Ronen Basri

Efficient and Robust Registration on the 3D Special Euclidean Group

Uttaran Bhattacharya, Venu Madhav Govindu

ClusterSLAM: A SLAM Backend for Simultaneous Rigid Body Clustering and Motion Estimation

Jiahui Huang, Sheng Yang, Zishuo Zhao, Yu-Kun Lai, Shi-min Hu

EM-Fusion: Dynamic Object-Level SLAM With Probabilistic Data Association

Michael Strecke, Jorg Stuckler

Learning Meshes for Dense Visual SLAM

Michael Bloesch, Tristan Laidlow, Ronald Clark, Stefan Leutenegger, Andrew J. Davison

Learning Two-View Correspondences and Geometry Using Order-Aware Network

Jiahui Zhang, Dawei Sun, Zixin Luo, Anbang Yao, Lei Zhou

Key.Net: Keypoint Detection by Handcrafted and Learned CNN Filters

Axel Barroso-Laguna, Edgar Riba, Daniel Ponsa, Krystian Mikolajczyk

Multi-Modality Latent Interaction Network for Visual Question Answering

peng gao, Haoxuan You, Zhanpeng Zhang, Xiaogang Wang, hongsheng Li

Adversarial Representation Learning for Text-to-Image Matching

Nikolaos Sarafianos, Xiang Xu, Ioannis A. Kakadiaris

Language-Agnostic Visual-Semantic Embeddings

Jonatas Wehrmann, Douglas M. Souza, Mauricio A. Lopes, Rodrigo C. Barros

Generating Easy-to-Understand Referring Expressions for Target Identifications

Mikihiro Tanaka, Takayuki Itamochi, Kenichi Narioka, Ikuro Sato, Yoshitaka Ushiku

Creativity Inspired Zero-Shot Learning

Mohamed Elhoseiny, Mohamed Elfeki

ACMM: Aligned Cross-Modal Memory for Few-Shot Image and Sentence Matching

Yan Huang, Liang Wang

CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval

Zihao Wang, Xihui Liu, hongsheng Li, Lu Sheng, Junjie Yan

Saliency-Guided Attention Network for Image-Sentence Matching

Zhong Ji, Haoran Wang, Jungong Han, Yanwei Pang

GANalyze: Toward Visual Definitions of Cognitive Image Properties

Lore Goetschalckx, Alex Andonian, Aude Oliva, Phillip Isola

Controllable Attention for Structured Layered Video Decomposition

Jean-Baptiste Alayrac, Joao Carreira, Relja Arandjelović, Andrew Zisserman

Understanding Human Gaze Communication by Spatio-Temporal Graph Reasoning

Lifeng Fan, Wenguan Wang, Siyuan Huang, Xinyu Tang, Song-chun Zhu