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CVPR 2019

1,294 papers

Learning Metrics From Teachers: Compact Networks for Image Embedding

Lu Yu, Vacit Oguz Yazici, Xialei Liu, Joost van de Weijer, Yongmei Cheng

Bounding Box Regression With Uncertainty for Accurate Object Detection

Yihui He, Chenchen Zhu, Jianren Wang, Marios Savvides, Xiangyu Zhang

Geometry-Aware Distillation for Indoor Semantic Segmentation

Jianbo Jiao, Yunchao Wei, Zequn Jie, Honghui Shi, Rynson W.H. Lau

Snapshot Distillation: Teacher-Student Optimization in One Generation

Chenglin Yang, Lingxi Xie, Chi Su, Alan L. Yuille

Learning RoI Transformer for Oriented Object Detection in Aerial Images

Jian Ding, Nan Xue, Yang Long, Gui-Song Xia, Qikai Lu

K-Nearest Neighbors Hashing

Xiangyu He, Peisong Wang, Jian Cheng

MnasNet: Platform-Aware Neural Architecture Search for Mobile

Mingxing Tan, Bo Chen, Ruoming Pang, Vijay Vasudevan, Mark Sandler

Fully Quantized Network for Object Detection

Rundong Li, Yan Wang, Feng Liang, Hongwei Qin, Junjie Yan

Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression

Yuchao Li, Shaohui Lin, Baochang Zhang, Jianzhuang Liu, DAVID DOERMANN

Towards Optimal Structured CNN Pruning via Generative Adversarial Learning

Shaohui Lin, Rongrong Ji, Chenqian Yan, Baochang Zhang, Liujuan Cao

Variational Convolutional Neural Network Pruning

Chenglong Zhao, Bingbing Ni, Jian Zhang, Qiwei Zhao, Wenjun Zhang

Few-Shot Learning via Saliency-Guided Hallucination of Samples

Hongguang Zhang, Jing Zhang, Piotr Koniusz

Learning to Sample

Oren Dovrat, Itai Lang, Shai Avidan

Sequence-To-Sequence Domain Adaptation Network for Robust Text Image Recognition

Yaping Zhang, Shuai Nie, Wenju Liu, Xing Xu, Dongxiang Zhang

Improving Transferability of Adversarial Examples With Input Diversity

Cihang Xie, Zhishuai Zhang, Yuyin Zhou, Song Bai, Jianyu Wang

Universal Domain Adaptation

Kaichao You, Mingsheng Long, ZHANGJIE CAO, Jianmin Wang, Michael I. Jordan

Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks

Eunwoo Kim, Chanho Ahn, Philip H.S. Torr, Songhwai Oh

DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Multi-Scale Deep Features

Chang Tang, Xinzhong Zhu, Xinwang Liu, Lizhe Wang, Albert Zomaya

Gotta Adapt 'Em All: Joint Pixel and Feature-Level Domain Adaptation for Recognition in the Wild

LUAN TRAN, Kihyuk Sohn, Xiang Yu, Xiaoming Liu, Manmohan Chandraker

Do Better ImageNet Models Transfer Better?

Simon Kornblith, Jonathon Shlens, Quoc V. Le

Supervised Fitting of Geometric Primitives to 3D Point Clouds

Lingxiao Li, Minhyuk Sung, Anastasia Dubrovina, Li Yi, Leonidas J. Guibas

Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation

He Wang, Srinath Sridhar, Jingwei Huang, Julien Valentin, Shuran Song

Tell Me Where I Am: Object-Level Scene Context Prediction

Xiaotian Qiao, Quanlong Zheng, Ying Cao, Rynson W.H. Lau

Scan2CAD: Learning CAD Model Alignment in RGB-D Scans

Armen Avetisyan, Manuel Dahnert, Angela Dai, Manolis Savva, Angel X. Chang

Structured Knowledge Distillation for Semantic Segmentation

Yifan liu, Ke Chen, Chris Liu, Zengchang Qin, Zhenbo Luo

Learning Spatial Common Sense With Geometry-Aware Recurrent Networks

Hsiao-Yu Fish Tung, Ricson Cheng, Katerina Fragkiadaki

AE2-Nets: Autoencoder in Autoencoder Networks

Changqing Zhang, Yeqing Liu, Huazhu Fu

Learning Correspondence From the Cycle-Consistency of Time

Xiaolong Wang, Allan Jabri, Alexei A. Efros

SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks

Rene Schuster, Oliver Wasenmuller, Christian Unger, Didier Stricker

Large-Scale Long-Tailed Recognition in an Open World

Ziwei Liu, Zhongqi Miao, Xiaohang Zhan, Jiayun Wang, Boqing Gong

ContextDesc: Local Descriptor Augmentation With Cross-Modality Context

Zixin Luo, Tianwei Shen, Lei Zhou, Jiahui Zhang, Yao Yao

ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation

Tuan-Hung VU, Himalaya Jain, Maxime Bucher, Matthieu Cord, Patrick Pérez

d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding

Xiang Xu, Xiong Zhou, Ragav Venkatesan, Gurumurthy Swaminathan, Orchid Majumder

CollaGAN: Collaborative GAN for Missing Image Data Imputation

Dongwook Lee, Junyoung Kim, Won-Jin Moon, Jong Chul Ye

DLOW: Domain Flow for Adaptation and Generalization

Rui Gong, Wen Li, Yuhua Chen, Luc Van Gool

Label-Noise Robust Generative Adversarial Networks

Takuhiro Kaneko, Yoshitaka Ushiku, Tatsuya Harada

The Visual Centrifuge: Model-Free Layered Video Representations

Jean-Baptiste Alayrac, Joao Carreira, Andrew Zisserman

Inverse Path Tracing for Joint Material and Lighting Estimation

Dejan Azinovic, Tzu-Mao Li, Anton Kaplanyan, Matthias Niessner

DeepVoxels: Learning Persistent 3D Feature Embeddings

Vincent Sitzmann, Justus Thies, Felix Heide, Matthias Niessner, Gordon Wetzstein

Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping

Huan Fu, Mingming Gong, Chaohui Wang, Kayhan Batmanghelich, Kun Zhang

Homomorphic Latent Space Interpolation for Unpaired Image-To-Image Translation

Ying-Cong Chen, Xiaogang Xu, Zhuotao Tian, Jiaya Jia

IM-Net for High Resolution Video Frame Interpolation

Tomer Peleg, Pablo Szekely, Doron Sabo, Omry Sendik

Textured Neural Avatars

Aliaksandra Shysheya, Egor Zakharov, Kara-Ali Aliev, Renat Bashirov, Egor Burkov

Animating Arbitrary Objects via Deep Motion Transfer

Aliaksandr Siarohin, Stéphane Lathuilière, Sergey Tulyakov, Elisa Ricci, Nicu Sebe

DeepView: View Synthesis With Learned Gradient Descent

John Flynn, Michael Broxton, Paul Debevec, Matthew DuVall, Graham Fyffe

Progressive Pose Attention Transfer for Person Image Generation

Zhen Zhu, Tengteng Huang, Baoguang Shi, Miao Yu, Bofei Wang

Semantic Image Synthesis With Spatially-Adaptive Normalization

Taesung Park, Ming-Yu Liu, Ting-Chun Wang, Jun-Yan Zhu

Semantics Disentangling for Text-To-Image Generation

Guojun Yin, Bin Liu, Lu Sheng, Nenghai Yu, Xiaogang Wang

Shapes and Context: In-The-Wild Image Synthesis & Manipulation

Aayush Bansal, Yaser Sheikh, Deva Ramanan

Learning to Cluster Faces on an Affinity Graph

Lei Yang, Xiaohang Zhan, Dapeng Chen, Junjie Yan, Chen Change Loy

Deep Metric Learning Beyond Binary Supervision

Sungyeon Kim, Minkyo Seo, Ivan Laptev, Minsu Cho, Suha Kwak

SFNet: Learning Object-Aware Semantic Correspondence

Junghyup Lee, Dohyung Kim, Jean Ponce, Bumsub Ham

ScratchDet: Training Single-Shot Object Detectors From Scratch

Rui Zhu, Shifeng Zhang, Xiaobo Wang, Longyin Wen, Hailin Shi

ELASTIC: Improving CNNs With Dynamic Scaling Policies

Huiyu Wang, Aniruddha Kembhavi, Ali Farhadi, Alan L. Yuille, Mohammad Rastegari

Blending-Target Domain Adaptation by Adversarial Meta-Adaptation Networks

Ziliang Chen, Jingyu Zhuang, Xiaodan Liang, Liang Lin

Transferrable Prototypical Networks for Unsupervised Domain Adaptation

Yingwei Pan, Ting Yao, Yehao Li, Yu Wang, Chong-Wah Ngo

Domain Generalization by Solving Jigsaw Puzzles

Fabio M. Carlucci, Antonio D'Innocente, Silvia Bucci, Barbara Caputo, Tatiana Tommasi

C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection

Fang Wan, Chang Liu, Wei Ke, Xiangyang Ji, Jianbin Jiao

Zero-Shot Task Transfer

Arghya Pal, Vineeth N Balasubramanian

Doodle to Search: Practical Zero-Shot Sketch-Based Image Retrieval

Sounak Dey, Pau Riba, Anjan Dutta, Josep Lladós, Yi-Zhe Song

Gradient Matching Generative Networks for Zero-Shot Learning

Mert Bulent Sariyildiz, Ramazan Gokberk Cinbis

Learning Context Graph for Person Search

Yichao Yan, Qiang Zhang, Bingbing Ni, Wendong Zhang, Minghao Xu

Unsupervised Person Re-Identification by Soft Multilabel Learning

Hong-Xing Yu, Wei-Shi Zheng, Ancong Wu, Xiaowei Guo, Shaogang Gong

Joint Discriminative and Generative Learning for Person Re-Identification

Zhedong Zheng, Xiaodong Yang, Zhiding Yu, Liang Zheng, Yi Yang

Noise2Void - Learning Denoising From Single Noisy Images

Alexander Krull, Tim-Oliver Buchholz, Florian Jug

Elastic Boundary Projection for 3D Medical Image Segmentation

Tianwei Ni, Lingxi Xie, Huangjie Zheng, Elliot K. Fishman, Alan L. Yuille

Biologically-Constrained Graphs for Global Connectomics Reconstruction

Brian Matejek, Daniel Haehn, Haidong Zhu, Donglai Wei, Toufiq Parag

Reducing Uncertainty in Undersampled MRI Reconstruction With Active Acquisition

Zizhao Zhang, Adriana Romero, Matthew J. Muckley, Pascal Vincent, Lin Yang

Factor Graph Attention

Idan Schwartz, Seunghak Yu, Tamir Hazan, Alexander G. Schwing

Learning Words by Drawing Images

Didac Suris, Adria Recasens, David Bau, David Harwath, James Glass

Learning to Detect Human-Object Interactions With Knowledge

Bingjie Xu, Yongkang Wong, Junnan Li, Qi Zhao, Mohan S. Kankanhalli

Information Maximizing Visual Question Generation

Ranjay Krishna, Michael Bernstein, Li Fei-fei

Heterogeneous Memory Enhanced Multimodal Attention Model for Video Question Answering

Chenyou Fan, Xiaofan Zhang, Shu Zhang, Wensheng Wang, Chi Zhang

MUREL: Multimodal Relational Reasoning for Visual Question Answering

Remi Cadene, Hedi Ben-younes, Matthieu Cord, Nicolas Thome

Scene Graph Generation With External Knowledge and Image Reconstruction

Jiuxiang Gu, Handong Zhao, Zhe Lin, Sheng Li, Jianfei Cai

Improving Referring Expression Grounding With Cross-Modal Attention-Guided Erasing

Xihui Liu, Zihao Wang, Jing Shao, Xiaogang Wang, hongsheng Li

Actively Seeking and Learning From Live Data

Damien Teney, Anton van den Hengel