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ICCV 2019

1,075 papers

Attentional Neural Fields for Crowd Counting

Anran Zhang, Lei Yue, Jiayi Shen, Fan Zhu, Xiantong Zhen

Learning Compositional Neural Information Fusion for Human Parsing

Wenguan Wang, Zhijie Zhang, Siyuan Qi, Jianbing Shen, Yanwei Pang

Deep Contextual Attention for Human-Object Interaction Detection

Tiancai Wang, Rao Muhammad Anwer, Muhammad Haris Khan, Fahad Shahbaz Khan, Yanwei Pang

Enforcing Geometric Constraints of Virtual Normal for Depth Prediction

Wei Yin, Yifan liu, Chunhua Shen, Youliang Yan

3D Scene Graph: A Structure for Unified Semantics, 3D Space, and Camera

Iro Armeni, Zhi-Yang He, JunYoung Gwak, Amir R. Zamir, Martin Fischer

Perceptual Deep Depth Super-Resolution

Oleg Voynov, Alexey Artemov, Vage Egiazarian, Alexander Notchenko, Gleb Bobrovskikh

End-to-End Learning of Representations for Asynchronous Event-Based Data

Daniel Gehrig, Antonio Loquercio, Konstantinos G. Derpanis, Davide Scaramuzza

Learning Filter Basis for Convolutional Neural Network Compression

Yawei Li, Shuhang Gu, Luc Van Gool, Radu Timofte

Scoot: A Perceptual Metric for Facial Sketches

Deng-Ping Fan, ShengChuan Zhang, Yu-Huan Wu, Yun Liu, Ming-Ming Cheng

Solving Vision Problems via Filtering

Sean I. Young, Aous T. Naman, Bernd Girod, David Taubman

Fast Video Object Segmentation via Dynamic Targeting Network

Lu Zhang, Zhe Lin, Jianming Zhang, Huchuan Lu, You He

Human-Aware Motion Deblurring

Ziyi Shen, Wenguan Wang, Xiankai Lu, Jianbing Shen, Haibin Ling

Predicting the Future: A Jointly Learnt Model for Action Anticipation

Harshala Gammulle, Simon Denman, Sridha Sridharan, Clinton Fookes

Video Classification With Channel-Separated Convolutional Networks

Du Tran, Heng Wang, Lorenzo Torresani, Matt Feiszli

StartNet: Online Detection of Action Start in Untrimmed Videos

Mingfei Gao, Mingze Xu, Larry S. Davis, Richard Socher, Caiming Xiong

Temporal Recurrent Networks for Online Action Detection

Mingze Xu, Mingfei Gao, Yi-Ting Chen, Larry S. Davis, David J. Crandall

Temporal Structure Mining for Weakly Supervised Action Detection

Tan Yu, Zhou Ren, Yuncheng Li, Enxu Yan, Ning Xu

Weakly-Supervised Action Localization With Background Modeling

Phuc Xuan Nguyen, Deva Ramanan, Charless C. Fowlkes

EPIC-Fusion: Audio-Visual Temporal Binding for Egocentric Action Recognition

Evangelos Kazakos, Arsha Nagrani, Andrew Zisserman, Dima Damen

Action Recognition With Spatial-Temporal Discriminative Filter Banks

Brais Martinez, Davide Modolo, Yuanjun Xiong, Joseph Tighe

Attentional Feature-Pair Relation Networks for Accurate Face Recognition

Bong-Nam Kang, Yonghyun Kim, Bongjin Jun, Daijin Kim

FAB: A Robust Facial Landmark Detection Framework for Motion-Blurred Videos

Keqiang Sun, Wayne Wu, Tinghao Liu, Shuo Yang, Quan Wang

Person-in-WiFi: Fine-Grained Person Perception Using WiFi

Fei Wang, Sanping Zhou, Stanislav Panev, Jinsong Han, Dong Huang

AMASS: Archive of Motion Capture As Surface Shapes

Naureen Mahmood, Nima Ghorbani, Nikolaus F. Troje, Gerard Pons-Moll, Michael J. Black

Skeleton-Aware 3D Human Shape Reconstruction From Point Clouds

Haiyong Jiang, Jianfei Cai, Jianmin Zheng

Multi-Garment Net: Learning to Dress 3D People From Images

Bharat Lal Bhatnagar, Garvita Tiwari, Christian Theobalt, Gerard Pons-Moll

Fingerspelling Recognition in the Wild With Iterative Visual Attention

Bowen Shi, Aurora Martinez Del Rio, Jonathan Keane, Diane Brentari, Greg Shakhnarovich

Joint Monocular 3D Vehicle Detection and Tracking

Hou-Ning Hu, Qi-Zhi Cai, Dequan Wang, Ji Lin, Min Sun

Occupancy Flow: 4D Reconstruction by Learning Particle Dynamics

Michael Niemeyer, Lars Mescheder, Michael Oechsle, Andreas Geiger

Object-Driven Multi-Layer Scene Decomposition From a Single Image

Helisa Dhamo, Nassir Navab, Federico Tombari

Three-D Safari: Learning to Estimate Zebra Pose, Shape, and Texture From Images "In the Wild"

Silvia Zuffi, Angjoo Kanazawa, Tanya Berger-Wolf, Michael J. Black

Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild

Yu Rong, Ziwei Liu, Cheng Li, Kaidi Cao, Chen Change Loy

FACSIMILE: Fast and Accurate Scans From an Image in Less Than a Second

David Smith, Matthew Loper, Xiaochen Hu, Paris Mavroidis, Javier Romero

Teacher Guided Architecture Search

Pouya Bashivan, Mark Tensen, James J. DiCarlo

Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations

Tianlu Wang, Jieyu Zhao, Mark Yatskar, Kai-Wei Chang, Vicente Ordonez

SVD: A Large-Scale Short Video Dataset for Near-Duplicate Video Retrieval

Qing-Yuan Jiang, Yi He, Gen Li, Jian Lin, Lei Li

Accelerate Learning of Deep Hashing With Gradient Attention

Long-Kai Huang, Jianda Chen, Sinno Jialin Pan

Universal Semi-Supervised Semantic Segmentation

Tarun Kalluri, Girish Varma, Manmohan Chandraker, C.V. Jawahar

AMP: Adaptive Masked Proxies for Few-Shot Segmentation

Mennatullah Siam, Boris N. Oreshkin, Martin Jagersand

DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing

Yongcheng Liu, Bin Fan, GAOFENG MENG, Jiwen Lu, SHIMING XIANG

Gated-SCNN: Gated Shape CNNs for Semantic Segmentation

Towaki Takikawa, David Acuna, Varun Jampani, Sanja Fidler

SPGNet: Semantic Prediction Guidance for Scene Parsing

Bowen Cheng, Liang-Chieh Chen, Yunchao Wei, Yukun Zhu, Zilong Huang

Video Instance Segmentation

Linjie Yang, Yuchen Fan, Ning Xu

Explicit Shape Encoding for Real-Time Instance Segmentation

Wenqiang Xu, Haiyang Wang, Fubo Qi, Cewu Lu

DSConv: Efficient Convolution Operator

Marcelo Gennari do Nascimento, Roger Fawcett, Victor Adrian Prisacariu

Deep Self-Learning From Noisy Labels

Jiangfan Han, Ping Luo, Xiaogang Wang

Weakly Aligned Cross-Modal Learning for Multispectral Pedestrian Detection

Lu Zhang, Xiangyu Zhu, Xiangyu Chen, Xu Yang, Zhen Lei

Learning to Find Common Objects Across Few Image Collections

Amirreza Shaban, Amir Rahimi, Shray Bansal, Stephen Gould, Byron Boots

Learning With Average Precision: Training Image Retrieval With a Listwise Loss

Jerome Revaud, Jon Almazán, Rafael S. Rezende, Cesar Roberto de Souza

Minimum Delay Object Detection From Video

DONG LAO, Ganesh Sundaramoorthi

A Deep Step Pattern Representation for Multimodal Retinal Image Registration

Jimmy Addison Lee, Peng Liu, Jun Cheng, Huazhu Fu

SILCO: Show a Few Images, Localize the Common Object

Tao Hu, Pascal Mettes, Jia-Hong Huang, Cees G. M. Snoek

Semi-Supervised Pedestrian Instance Synthesis and Detection With Mutual Reinforcement

Si Wu, Sihao Lin, Wenhao Wu, Mohamed Azzam, Hau-San Wong

Fashion++: Minimal Edits for Outfit Improvement

Wei-Lin Hsiao, Isay Katsman, Chao-Yuan Wu, Devi Parikh, Kristen Grauman

Video Face Clustering With Unknown Number of Clusters

Makarand Tapaswi, Marc T. Law, Sanja Fidler

Dynamic Curriculum Learning for Imbalanced Data Classification

Yiru Wang, Weihao Gan, jie Yang, Wei Wu, Junjie Yan

Correlation Congruence for Knowledge Distillation

Baoyun Peng, Xiao Jin, Jiaheng Liu, Dongsheng Li, Yichao Wu

Permutation-Invariant Feature Restructuring for Correlation-Aware Image Set-Based Recognition

Xiaofeng Liu, Zhenhua Guo, Site Li, Lingsheng Kong, Ping Jia

Spectral Feature Transformation for Person Re-Identification

Chuanchen Luo, Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang

Mask-Guided Attention Network for Occluded Pedestrian Detection

Yanwei Pang, Jin Xie, Muhammad Haris Khan, Rao Muhammad Anwer, Fahad Shahbaz Khan

Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks

Thomas Brunner, Frederik Diehl, Michael Truong Le, Alois Knoll

XRAI: Better Attributions Through Regions

Andrei Kapishnikov, Tolga Bolukbasi, Fernanda Viégas, Michael Terry

Defending Against Universal Perturbations With Shared Adversarial Training

Chaithanya Kumar Mummadi, Thomas Brox, Jan Hendrik Metzen

Rethinking ImageNet Pre-Training

Kaiming He, Ross Girshick, Piotr Dollár

Bayesian Optimized 1-Bit CNNs

Jiaxin Gu, Junhe Zhao, Xiaolong Jiang, Baochang Zhang, Jianzhuang Liu

Universal Perturbation Attack Against Image Retrieval

Jie Li, Rongrong Ji, Hong Liu, Xiaopeng Hong, Yue Gao

A Geometry-Inspired Decision-Based Attack

Yujia Liu, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard

Improving Adversarial Robustness via Guided Complement Entropy

Hao-Yun Chen, Jhao-Hong Liang, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen

Proximal Mean-Field for Neural Network Quantization

Thalaiyasingam Ajanthan, Puneet K. Dokania, Richard Hartley, Philip H. S. Torr

Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks

Ruihao Gong, Xianglong Liu, Shenghu Jiang, Tianxiang Li, Peng Hu

Scalable Verified Training for Provably Robust Image Classification

Sven Gowal, Krishnamurthy (Dj) Dvijotham, Robert Stanforth, Rudy Bunel, Chongli Qin

Wasserstein GAN With Quadratic Transport Cost

Huidong Liu, Xianfeng Gu, Dimitris Samaras

Better and Faster: Exponential Loss for Image Patch Matching

Shuang Wang, Yanfeng Li, Xuefeng Liang, Dou Quan, Bowu Yang

Sym-Parameterized Dynamic Inference for Mixed-Domain Image Translation

Simyung Chang, Seonguk Park, John Yang, Nojun Kwak

On the Efficacy of Knowledge Distillation

Jang Hyun Cho, Bharath Hariharan

Hilbert-Based Generative Defense for Adversarial Examples

Yang Bai, Yan Feng, Yisen Wang, Tao Dai, Shu-Tao Xia

Semantic Adversarial Attacks: Parametric Transformations That Fool Deep Classifiers

Ameya Joshi, Amitangshu Mukherjee, Soumik Sarkar, Chinmay Hegde

Small Steps and Giant Leaps: Minimal Newton Solvers for Deep Learning

João F. Henriques, Sebastien Ehrhardt, Samuel Albanie, Andrea Vedaldi

A Tour of Convolutional Networks Guided by Linear Interpreters

Pablo Navarrete Michelini, Hanwen Liu, Yunhua Lu, Xingqun Jiang

Implicit Surface Representations As Layers in Neural Networks

Mateusz Michalkiewicz, Jhony K. Pontes, Dominic Jack, Mahsa Baktashmotlagh, Anders Eriksson

Enhancing Adversarial Example Transferability With an Intermediate Level Attack

Qian Huang, Isay Katsman, Horace He, Zeqi Gu, Serge Belongie

Sparse and Imperceivable Adversarial Attacks

Francesco Croce, Matthias Hein

What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis

Jeonghun Baek, Geewook Kim, Junyeop Lee, Sungrae Park, Dongyoon Han

Towards Unconstrained End-to-End Text Spotting

Siyang Qin, Alessandro Bissacco, Michalis Raptis, Yasuhisa Fujii, Ying Xiao