CVPR 2020

1,466 papers

Train in Germany, Test in the USA: Making 3D Object Detectors Generalize

Yan Wang, Xiangyu Chen, Yurong You, Li Erran Li, Bharath Hariharan

Satellite Image Time Series Classification With Pixel-Set Encoders and Temporal Self-Attention

Vivien Sainte Fare Garnot, Loic Landrieu, Sebastien Giordano, Nesrine Chehata

IMRAM: Iterative Matching With Recurrent Attention Memory for Cross-Modal Image-Text Retrieval

Hui Chen, guiguang ding, Xudong Liu, Zijia Lin, Ji Liu

SpeedNet: Learning the Speediness in Videos

Sagie Benaim, Ariel Ephrat, Oran Lang, Inbar Mosseri, William T. Freeman

Learning to See Through Obstructions

Yu-Lun Liu, Wei-Sheng Lai, Ming-Hsuan Yang, Yung-Yu Chuang, Jia-Bin Huang

Visual Reaction: Learning to Play Catch With Your Drone

Kuo-Hao Zeng, Roozbeh Mottaghi, Luca Weihs, Ali Farhadi

Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks

Saurabh Singh, Shankar Krishnan

MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion

Kentaro Wada, Edgar Sucar, Stephen James, Daniel Lenton, Andrew J. Davison

Fast(er) Reconstruction of Shredded Text Documents via Self-Supervised Deep Asymmetric Metric Learning

Thiago M. Paixao, Rodrigo F. Berriel, Maria C. S. Boeres, Alessandro L. Koerich, Claudine Badue

PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving

Zelun Kong, Junfeng Guo, Ang Li, Cong Liu

Noisier2Noise: Learning to Denoise From Unpaired Noisy Data

Nick Moran, Dan Schmidt, Yu Zhong, Patrick Coady

Unified Dynamic Convolutional Network for Super-Resolution With Variational Degradations

Yu-Syuan Xu, Shou-Yao Roy Tseng, Yu Tseng, Hsien-Kai Kuo, Yi-Min Tsai

Deep Iterative Surface Normal Estimation

Jan Eric Lenssen, Christian Osendorfer, Jonathan Masci

REVERIE: Remote Embodied Visual Referring Expression in Real Indoor Environments

Yuankai Qi, Qi Wu, Peter Anderson, Xin Wang, William Yang Wang

Learning Deep Network for Detecting 3D Object Keypoints and 6D Poses

Wanqing Zhao, Shaobo Zhang, Ziyu Guan, Wei Zhao, Jinye Peng

Density-Aware Graph for Deep Semi-Supervised Visual Recognition

Suichan Li, Bin Liu, Dongdong Chen, Qi Chu, Lu Yuan

Few-Shot Video Classification via Temporal Alignment

Kaidi Cao, Jingwei Ji, ZHANGJIE CAO, Chien-Yi Chang, Juan Carlos Niebles

VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions

Oytun Ulutan, A S M Iftekhar, B. S. Manjunath

Domain-Aware Visual Bias Eliminating for Generalized Zero-Shot Learning

Shaobo Min, Hantao Yao, Hongtao Xie, Chaoqun Wang, Zheng-Jun Zha

PVN3D: A Deep Point-Wise 3D Keypoints Voting Network for 6DoF Pose Estimation

Yisheng He, Wei Sun, Haibin Huang, Jianran Liu, Haoqiang Fan

Regularizing CNN Transfer Learning With Randomised Regression

Yang Zhong, Atsuto Maki

Designing Network Design Spaces

Ilija Radosavovic, Raj Prateek Kosaraju, Ross Girshick, Kaiming He, Piotr Dollár

On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering

Xinyu Wang, Yuliang Liu, Chunhua Shen, Chun Chet Ng, Canjie Luo

Generalized Zero-Shot Learning via Over-Complete Distribution

Rohit Keshari, Richa Singh, Mayank Vatsa

Cloth in the Wind: A Case Study of Physical Measurement Through Simulation

Tom F. H. Runia, Kirill Gavrilyuk, Cees G. M. Snoek, Arnold W. M. Smeulders

Incremental Few-Shot Object Detection

Juan-Manuel Perez-Rua, Xiatian Zhu, Timothy M. Hospedales, Tao Xiang

SCATTER: Selective Context Attentional Scene Text Recognizer

Ron Litman, Oron Anschel, Shahar Tsiper, Roee Litman, Shai Mazor

Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation

Moab Arar, Yiftach Ginger, Dov Danon, Amit H. Bermano, Daniel Cohen-or

Deep Generative Model for Robust Imbalance Classification

Xinyue Wang, Yilin Lyu, Liping Jing

Meta-Learning of Neural Architectures for Few-Shot Learning

Thomas Elsken, Benedikt Staffler, Jan Hendrik Metzen, Frank Hutter

Momentum Contrast for Unsupervised Visual Representation Learning

Kaiming He, haoqi fan, Yuxin Wu, Saining Xie, Ross Girshick

Real-World Person Re-Identification via Degradation Invariance Learning

Yukun Huang, Zheng-Jun Zha, Xueyang Fu, Richang Hong, Liang Li

Basis Prediction Networks for Effective Burst Denoising With Large Kernels

Zhihao Xia, Federico Perazzi, MICHAEL GHARBI, Kalyan Sunkavalli, Ayan Chakrabarti

GP-NAS: Gaussian Process Based Neural Architecture Search

zhihang li, Teng Xi, Jiankang Deng, Gang Zhang, Shengzhao Wen

Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection

Shi-Xue Zhang, Xiaobin Zhu, Jie-Bo Hou, Chang Liu, Chun Yang

Towards Accurate Scene Text Recognition With Semantic Reasoning Networks

Deli Yu, Xuan Li, Chengquan Zhang, Tao Liu, Junyu Han

Deep Adversarial Decomposition: A Unified Framework for Separating Superimposed Images

Zhengxia Zou, Sen Lei, Tianyang Shi, Zhenwei Shi, Jieping Ye

Telling Left From Right: Learning Spatial Correspondence of Sight and Sound

Karren Yang, Bryan Russell, Justin Salamon

Making Better Mistakes: Leveraging Class Hierarchies With Deep Networks

Luca Bertinetto, Romain Mueller, Konstantinos Tertikas, Sina Samangooei, Nicholas A. Lord

Geometrically Principled Connections in Graph Neural Networks

Shunwang Gong, Mehdi Bahri, Michael M. Bronstein, Stefanos Zafeiriou

Exploring Data Aggregation in Policy Learning for Vision-Based Urban Autonomous Driving

Aditya Prakash, Aseem Behl, Eshed Ohn-Bar, Kashyap Chitta, Andreas Geiger

Differentiable Adaptive Computation Time for Visual Reasoning

Cristobal Eyzaguirre, Alvaro Soto

PointRend: Image Segmentation As Rendering

Alexander Kirillov, Yuxin Wu, Kaiming He, Ross Girshick

Vision-Dialog Navigation by Exploring Cross-Modal Memory

Yi Zhu, Fengda Zhu, Zhaohuan Zhan, Bingqian Lin, Jianbin Jiao

Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets

Daniel Haase, Manuel Amthor

SP-NAS: Serial-to-Parallel Backbone Search for Object Detection

ChenHan Jiang, Hang Xu, Wei Zhang, Xiaodan Liang, Zhenguo Li

TRPLP - Trifocal Relative Pose From Lines at Points

Ricardo Fabbri, Timothy Duff, Hongyi Fan, Margaret H. Regan, David da Costa de Pinho

GIFnets: Differentiable GIF Encoding Framework

Innfarn Yoo, Xiyang Luo, Yilin Wang, Feng Yang, Peyman Milanfar

Training a Steerable CNN for Guidewire Detection

Donghang Li, Adrian Barbu

Associate-3Ddet: Perceptual-to-Conceptual Association for 3D Point Cloud Object Detection

Liang Du, Xiaoqing Ye, Xiao Tan, Jianfeng Feng, Zhenbo Xu

Multi-Mutual Consistency Induced Transfer Subspace Learning for Human Motion Segmentation

Tao Zhou, Huazhu Fu, Chen Gong, Jianbing Shen, Ling Shao

AutoTrack: Towards High-Performance Visual Tracking for UAV With Automatic Spatio-Temporal Regularization

Yiming Li, Changhong Fu, Fangqiang Ding, Ziyuan Huang, Geng Lu

SegGCN: Efficient 3D Point Cloud Segmentation With Fuzzy Spherical Kernel

Huan Lei, Naveed Akhtar, Ajmal Mian

Memory Aggregation Networks for Efficient Interactive Video Object Segmentation

Jiaxu Miao, Yunchao Wei, Yi Yang

Predicting Semantic Map Representations From Images Using Pyramid Occupancy Networks

Thomas Roddick, Roberto Cipolla

DSGN: Deep Stereo Geometry Network for 3D Object Detection

Yilun Chen, Shu Liu, Xiaoyong Shen, Jiaya Jia

M2m: Imbalanced Classification via Major-to-Minor Translation

Jaehyung Kim, Jongheon Jeong, Jinwoo Shin

Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation

Juncheng Li, Xin Wang, Siliang Tang, Haizhou Shi, Fei Wu

Counterfactual Vision and Language Learning

Ehsan Abbasnejad, Damien Teney, Amin Parvaneh, Javen Shi, Anton van den Hengel

Efficient Derivative Computation for Cumulative B-Splines on Lie Groups

Christiane Sommer, Vladyslav Usenko, David Schubert, Nikolaus Demmel, Daniel Cremers

Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation

Yangtao Zheng, Di Huang, Songtao Liu, Yunhong Wang

TCTS: A Task-Consistent Two-Stage Framework for Person Search

Cheng Wang, Bingpeng MA, Hong Chang, Shiguang Shan, Xilin Chen

Fast Template Matching and Update for Video Object Tracking and Segmentation

Mingjie Sun, Jimin Xiao, Eng Gee Lim, Bingfeng Zhang, Yao Zhao

Hierarchical Clustering With Hard-Batch Triplet Loss for Person Re-Identification

Kaiwei Zeng, Munan Ning, Yaohua Wang, Yang Guo

Learning to Evaluate Perception Models Using Planner-Centric Metrics

Jonah Philion, Amlan Kar, Sanja Fidler

ILFO: Adversarial Attack on Adaptive Neural Networks

Mirazul Haque, Anki Chauhan, Cong Liu, Wei Yang

Two Causal Principles for Improving Visual Dialog

Jiaxin Qi, Yulei Niu, Jianqiang Huang, Hanwang Zhang

A Spatial RNN Codec for End-to-End Image Compression

Chaoyi Lin, Jiabao Yao, Fangdong Chen, Li Wang

Learning Canonical Shape Space for Category-Level 6D Object Pose and Size Estimation

Dengsheng Chen, Jun Li, Zheng Wang, Kai Xu

Light-weight Calibrator: A Separable Component for Unsupervised Domain Adaptation

shaokai ye, Kailu Wu, Mu Zhou, Yunfei Yang, Sia Huat Tan

StereoGAN: Bridging Synthetic-to-Real Domain Gap by Joint Optimization of Domain Translation and Stereo Matching

Rui Liu, Chengxi Yang, Wenxiu Sun, Xiaogang Wang, hongsheng Li

Network Adjustment: Channel Search Guided by FLOPs Utilization Ratio

Zhengsu Chen, Jianwei Niu, Lingxi Xie, Xuefeng Liu, Longhui Wei

Learning Nanoscale Motion Patterns of Vesicles in Living Cells

Arif Ahmed Sekh, Ida Sundvor Opstad, Asa Birna Birgisdottir, Truls Myrmel, Balpreet Singh Ahluwalia

Learning Invariant Representation for Unsupervised Image Restoration

Wenchao Du, Hu Chen, Hongyu Yang

Regularization on Spatio-Temporally Smoothed Feature for Action Recognition

Jinhyung Kim, Seunghwan Cha, Dongyoon Wee, Soonmin Bae, Junmo Kim

Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather

Mario Bijelic, Tobias Gruber, Fahim Mannan, Florian Kraus, Werner Ritter

Uncertainty-Aware Score Distribution Learning for Action Quality Assessment

Yansong Tang, Zanlin Ni, Jiahuan Zhou, Danyang Zhang, Jiwen Lu

Shape correspondence using anisotropic Chebyshev spectral CNNs

Qinsong Li, Shengjun Liu, Ling Hu, Xinru Liu

Exploring Self-Attention for Image Recognition

Hengshuang Zhao, Jiaya Jia, Vladlen Koltun

Robust Learning Through Cross-Task Consistency

Amir R. Zamir, Alexander Sax, Nikhil Cheerla, Rohan Suri, ZHANGJIE CAO

PFRL: Pose-Free Reinforcement Learning for 6D Pose Estimation

Jianzhun Shao, Yuhang Jiang, Gu Wang, Zhigang Li, Xiangyang Ji

Noise-Aware Fully Webly Supervised Object Detection

Yunhang Shen, Rongrong Ji, Zhiwei Chen, Xiaopeng Hong, Feng Zheng

End-to-End 3D Point Cloud Instance Segmentation Without Detection

Haiyong Jiang, Feilong Yan, Jianfei Cai, Jianmin Zheng, Jun Xiao

RetinaTrack: Online Single Stage Joint Detection and Tracking

Zhichao Lu, Vivek Rathod, Ronny Votel, Jonathan Huang

MetaIQA: Deep Meta-Learning for No-Reference Image Quality Assessment

Hancheng Zhu, Leida Li, Jinjian Wu, Weisheng Dong, GUANGMING Shi

Learning Interactions and Relationships Between Movie Characters

Anna Kukleva, Makarand Tapaswi, Ivan Laptev

Learning From Noisy Anchors for One-Stage Object Detection

Hengduo Li, Zuxuan Wu, Chen Zhu, Caiming Xiong, Richard Socher

Unsupervised Model Personalization While Preserving Privacy and Scalability: An Open Problem

Matthias De Lange, Xu Jia, Sarah Parisot, Ales Leonardis, Gregory Slabaugh

RiFeGAN: Rich Feature Generation for Text-to-Image Synthesis From Prior Knowledge

Jun Cheng, Fuxiang Wu, Yanling Tian, Lei Wang, Dapeng Tao

Self-Robust 3D Point Recognition via Gather-Vector Guidance

Xiaoyi Dong, Dongdong Chen, Hang Zhou, Gang Hua, Weiming Zhang

Learning Augmentation Network via Influence Functions

Donghoon Lee, Hyunsin Park, Trung Pham, Chang D. Yoo

SaccadeNet: A Fast and Accurate Object Detector

Shiyi Lan, Zhou Ren, Yi Wu, Larry S. Davis, Gang Hua

Neural Head Reenactment with Latent Pose Descriptors

Egor Burkov, Igor Pasechnik, Artur Grigorev, Victor Lempitsky

Selective Transfer With Reinforced Transfer Network for Partial Domain Adaptation

Zhihong Chen, Chao Chen, Zhaowei Cheng, Boyuan Jiang, Ke Fang

End-to-End Camera Calibration for Broadcast Videos

Long Sha, Jennifer Hobbs, Panna Felsen, Xinyu Wei, Patrick Lucey

DR Loss: Improving Object Detection by Distributional Ranking

Qi Qian, Lei Chen, Hao Li, Rong Jin

Geometry and Learning Co-Supported Normal Estimation for Unstructured Point Cloud

Haoran Zhou, Honghua Chen, Yidan Feng, Qiong Wang, Jing Qin

ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

Qilong Wang, Banggu Wu, Pengfei Zhu, Peihua Li, Wangmeng Zuo

A Programmatic and Semantic Approach to Explaining and Debugging Neural Network Based Object Detectors

Edward Kim, Divya Gopinath, Corina Pasareanu, Sanjit A. Seshia

Detailed 2D-3D Joint Representation for Human-Object Interaction

Yong-Lu Li, Xinpeng Liu, Han Lu, Shiyi Wang, Junqi Liu