ECCV 2020

1,358 papers

Deep Transferring Quantization

Zheng Xie, Zhiquan Wen, Jing Liu, Zhiqiang Liu, Xixian Wu

DHP: Differentiable Meta Pruning via HyperNetworks

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

DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning

Timo Milbich, Karsten Roth, Homanga Bharadhwaj, Samarth Sinha, Yoshua Bengio

Domain-Specific Mappings for Generative Adversarial Style Transfer

Hsin-Yu Chang, Zhixiang Wang, Yung-Yu Chuang

On Modulating the Gradient for Meta-Learning

Christian Simon, Piotr Koniusz, Richard Nock, Mehrtash Harandi

Bottom-Up Temporal Action Localization with Mutual Regularization

Peisen Zhao, Lingxi Xie, Chen Ju, Ya Zhang, Yanfeng Wang

Progressively Guided Alternate Refinement Network for RGB-D Salient Object Detection

Shuhan Chen, Yun Fu

n-Reference Transfer Learning for Saliency Prediction

Yan Luo, Yongkang Wong, Mohan S. Kankanhalli, Qi Zhao

Image Classification in the Dark using Quanta Image Sensors

Abhiram Gnanasambandam, Stanley H. Chan

REMIND Your Neural Network to Prevent Catastrophic Forgetting

Tyler L. Hayes, Kushal Kafle, Robik Shrestha, Manoj Acharya, Christopher Kanan

AttentionNAS: Spatiotemporal Attention Cell Search for Video Classification

Xiaofang Wang, Xuehan Xiong, Maxim Neumann, AJ Piergiovanni, Michael S. Ryoo

AtlantaNet: Inferring the 3D Indoor Layout from a Single 360(∘) Image beyond the Manhattan World Assumption

Giovanni Pintore, Marco Agus, Enrico Gobbetti

Event-based Asynchronous Sparse Convolutional Networks

Nico Messikommer, Daniel Gehrig, Antonio Loquercio, Davide Scaramuzza

GMNet: Graph Matching Network for Large Scale Part Semantic Segmentation in the Wild

Umberto Michieli, Edoardo Borsato, Luca Rossi, Pietro Zanuttigh

Commonality-Parsing Network across Shape and Appearance for Partially Supervised Instance Segmentation

Qi Fan, Lei Ke, Wenjie Pei, Chi-Keung Tang, Yu-Wing Tai

World-Consistent Video-to-Video Synthesis

Arun Mallya, Ting-Chun Wang, Karan Sapra, Ming-Yu Liu

Beyond 3DMM Space: Towards Fine-grained 3D Face Reconstruction

Xiangyu Zhu, Fan Yang, Di Huang, Chang Yu, Hao Wang

Joint Bilateral Learning for Real-time Universal Photorealistic Style Transfer

XIDE XIA, Meng Zhang, Tianfan Xue, Zheng Sun, Hui Fang

3PointTM: Faster Measurement of High-Dimensional Transmission Matrices

Yujun Chen, Manoj Kumar Sharma, Ashutosh Sabharwal, Ashok Veeraraghavan, Aswin C. Sankaranarayanan

Quantization Guided JPEG Artifact Correction

Max Ehrlich, Ser-Nam Lim, Larry Davis, Abhinav Shrivastava

Faster Person Re-Identification

Guan’an Wang, Shaogang Gong, Jian Cheng, Zengguang Hou

Cheaper Pre-training Lunch: An Efficient Paradigm for Object Detection

Dongzhan Zhou, Xinchi Zhou, Hongwen Zhang, Shuai Yi, Wanli Ouyang

RetrieveGAN: Image Synthesis via Differentiable Patch Retrieval

Hung-Yu Tseng, Hsin-Ying Lee, Lu Jiang, Ming-Hsuan Yang, Weilong Yang

RGB-D Salient Object Detection with Cross-Modality Modulation and Selection

Chongyi Li, Runmin Cong, Yongri Piao, Qianqian Xu, Chen Change Loy

Social Adaptive Module for Weakly-supervised Group Activity Recognition

Rui Yan, Lingxi Xie, Jinhui Tang, Xiangbo Shu, Qi Tian

Regression of Instance Boundary by Aggregated CNN and GCN

Yanda Meng, Wei Meng, Dongxu Gao, Yitian Zhao, Xiaoyun Yang

Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier

Tz-Ying Wu, Pedro Morgado, Pei Wang, Chih-Hui Ho, Nuno Vasconcelos

Learning Visual Representations with Caption Annotations

Mert Bulent Sariyildiz, Julien Perez, Diane Larlus

Deep near-light photometric stereo for spatially varying reflectances

Hiroaki Santo, Michael Waechter, Yasuyuki Matsushita

Enabling Deep Residual Networks for Weakly Supervised Object Detection

Yunhang Shen, Rongrong Ji, Yan Wang, Zhiwei Chen, Feng Zheng

Component Divide-and-Conquer for Real-World Image Super-Resolution

Pengxu Wei, Ziwei Xie, Hannan Lu, Zongyuan Zhan, Qixiang Ye

Improved Adversarial Training via Learned Optimizer

Yuanhao Xiong, Cho-jui Hsieh

Meshing Point Clouds with Predicted Intrinsic-Extrinsic Ratio Guidance

Minghua Liu, Xiaoshuai Zhang, Hao Su

Curriculum DeepSDF

Yueqi Duan, Haidong Zhu, He Wang, Li Yi Ram Nevatia, Leonidas J. Guibas

Many-shot from Low-shot: Learning to Annotate using Mixed Supervision for Object Detection

Carlo Biffi, Steven McDonagh, Philip Torr, Ales Leonardis, Sarah Parisot

Unsupervised Domain Attention Adaptation Network for Caricature Attribute Recognition

Wen Ji, Kelei He, Jing Huo, Zheng Gu, Yang Gao

Weakly-Supervised Crowd Counting Learns from Sorting rather than Locations

Yifan Yang, Guorong Li, Zhe Wu, Li Su, Qingming Huang

ALRe: Outlier Detection for Guided Refinement

Mingzhu Zhu, Zhang Gao, Junzhi Yu, Bingwei He, Jiantao Liu

Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose

Hongsuk Choi, Gyeongsik Moon, Kyoung Mu Lee

I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image

Gyeongsik Moon, Kyoung Mu Lee

Global Distance-distributions Separation for Unsupervised Person Re-identification

Xin Jin, Cuiling Lan, Wenjun Zeng, Zhibo Chen

Differentiable Hierarchical Graph Grouping for Multi-Person Pose Estimation

Sheng Jin, Wentao Liu, Enze Xie, Wenhai Wang, Chen Qian

BigNAS: Scaling Up Neural Architecture Search with Big Single-Stage Models

Jiahui Yu, Pengchong Jin, Hanxiao Liu, Gabriel Bender, Pieter-jan Kindermans

Incremental Few-Shot Meta-Learning via Indirect Discriminant Alignment

Qing Liu, Orchid Majumder, Alessandro Achille, Avinash Ravichandran, Rahul Bhotika

Two-branch Recurrent Network for Isolating Deepfakes in Videos

Iacopo Masi, Aditya Killekar, Royston Marian Mascarenhas, Shenoy Pratik Gurudatt, Wael AbdAlmageed

When Does Self-supervision Improve Few-shot Learning?

Jong-Chyi Su, Subhransu Maji, Bharath Hariharan

Towards Unique and Informative Captioning of Images

Zeyu Wang, Berthy Feng, Karthik Narasimhan, Olga Russakovsky

NASA Neural Articulated Shape Approximation

Boyang Deng, JP Lewis, Timothy Jeruzalski, Gerard Pons-Moll, Geoffrey Hinton

Multiple Expert Brainstorming for Domain Adaptive Person Re-identification

Yunpeng Zhai, Qixiang Ye, Shijian Lu, Mengxi Jia, Rongrong Ji

How Can I See My Future? FvTraj: Using First-person View for Pedestrian Trajectory Prediction

Huikun Bi, Ruisi Zhang, Tianlu Mao, Zhigang Deng, Zhaoqi Wang

Face Anti-Spoofing with Human Material Perception

Zitong Yu, Xiaobai Li, Xuesong Niu, Jingang Shi, Guoying Zhao

Traffic Accident Benchmark for Causality Recognition

Tackgeun You, Bohyung Han

TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification

Moshe Lichtenstein, Prasanna Sattigeri, Rogerio Feris, Raja Giryes, Leonid Karlinsky

Localizing the Common Action Among a Few Videos

Pengwan Yang, Vincent Tao Hu, Pascal Mettes, Cees G. M. Snoek

GeoGraph: Graph-based multi-view object detection with geometric cues end-to-end

Ahmed Samy Nassar, Stefano D’Aronco, Sébastien Lefèvre, Jan D. Wegner

Beyond Controlled Environments: 3D Camera Re-Localization in Changing Indoor Scenes

Johanna Wald, Torsten Sattler, Stuart Golodetz, Tommaso Cavallari, Federico Tombari

Colorization of Depth Map via Disentanglement

Chung-Sheng Lai, Zunzhi You, Ching-Chun Huang, Yi-Hsuan Tsai, Wei-Chen Chiu

Multiple Class Novelty Detection Under Data Distribution Shift

Poojan Oza, Hien V. Nguyen, Vishal M. Patel

Atlas: End-to-End 3D Scene Reconstruction from Posed Images

Zak Murez, Tarrence van As, James Bartolozzi, Ayan Sinha, Vijay Badrinarayanan

Deformation-Aware 3D Model Embedding and Retrieval

Mikaela Angelina Uy, Jingwei Huang, Minhyuk Sung, Tolga Birdal, Leonidas Guibas

Representative Graph Neural Network

Changqian Yu, Yifan liu, Changxin Gao, Chunhua Shen, Nong Sang

Temporal Distinct Representation Learning for Action Recognition

Junwu Weng, Donghao Luo, Yabiao Wang, Ying Tai, Chengjie Wang

Intra-class Feature Variation Distillation for Semantic Segmentation

Yukang Wang, Wei Zhou, Tao Jiang, Xiang Bai, Yongchao Xu

Learning Pairwise Inter-Plane Relations for Piecewise Planar Reconstruction

Yiming Qian, Yasutaka Furukawa

OnlineAugment: Online Data Augmentation with Less Domain Knowledge

Zhiqiang Tang, Yunhe Gao, Leonid Karlinsky, Prasanna Sattigeri, Rogerio Feris

Learning Object Depth from Camera Motion and Video Object Segmentation

Brent A. Griffin, Jason J. Corso

The Group Loss for Deep Metric Learning

Ismail Elezi, Sebastiano Vascon, Alessandro Torcinovich, Marcello Pelillo, Laura Leal-Taixé

ParSeNet: A Parametric Surface Fitting Network for 3D Point Clouds

Gopal Sharma, Difan Liu, Subhransu Maji, Evangelos Kalogerakis, Siddhartha Chaudhuri

Image Stitching and Rectification for Hand-Held Cameras

Bingbing Zhuang, Quoc-Huy Tran

Learning Progressive Joint Propagation for Human Motion Prediction

Yujun Cai, Lin Huang, Yiwei Wang, Tat-Jen Cham, Jianfei Cai

Texture Hallucination for Large-Factor Painting Super-Resolution

Yulun Zhang, Zhifei Zhang, Stephen DiVerdi, Zhaowen Wang, Jose Echevarria

Efficient Non-Line-of-Sight Imaging from Transient Sinograms

Mariko Isogawa, Dorian Chan, Ye Yuan, Kris Kitani, Matthew O’Toole

Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search

Yuan Tian, Qin Wang, Zhiwu Huang, Wen Li, Dengxin Dai

Controllable Image Synthesis via SegVAE

Yen-Chi Cheng, Hsin-Ying Lee, Min Sun, Ming-Hsuan Yang

Autoregressive Unsupervised Image Segmentation

Yassine Ouali, Celine Hudelot, Myriam Tami

Consistency Guided Scene Flow Estimation

Yuhua Chen, Luc Van Gool, Cordelia Schmid, Cristian Sminchisescu

Image-to-Voxel Model Translation for 3D Scene Reconstruction and Segmentation

Vladimir V. Kniaz, Vladimir A. Knyaz, Fabio Remondino, Artem Bordodymov, Petr Moshkantsev

AR-Net: Adaptive Frame Resolution for Efficient Action Recognition

Yue Meng, Chung-Ching Lin, Rameswar Panda, Prasanna Sattigeri, Leonid Karlinsky

Inducing Optimal Attribute Representations for Conditional GANs

Binod Bhattarai, Tae-kyun Kim

Across Scales & Across Dimensions: Temporal Super-Resolution using Deep Internal Learning

Liad Pollak Zuckerman, Eyal Naor, George Pisha, Shai Bagon, Michal Irani

Adversarial Self-Supervised Learning for Semi-Supervised 3D Action Recognition

Chenyang Si, Xuecheng Nie, Wei Wang, Liang Wang, Tieniu Tan

Learning Object Relation Graph and Tentative Policy for Visual Navigation

Heming Du, Xin Yu, Liang Zheng

Multiview Detection with Feature Perspective Transformation

Yunzhong Hou, Liang Zheng, Stephen Gould

Simulating Content Consistent Vehicle Datasets with Attribute Descent

Yue Yao, Liang Zheng, Xiaodong Yang, Milind Naphade, Tom Gedeon

Domain2Vec: Domain Embedding for Unsupervised Domain Adaptation

Xingchao Peng, Yichen Li, Kate Saenko

Lifespan Age Transformation Synthesis

Roy Or-El, Soumyadip Sengupta, Ohad Fried, Eli Shechtman, Ira Kemelmacher-Shlizerman

HardGAN: A Haze-Aware Representation Distillation GAN for Single Image Dehazing

Qili Deng, Ziling Huang, Chung-Chi Tsai, Chia-Wen Lin

Highly Efficient Salient Object Detection with 100K Parameters

Shang-Hua Gao, Yong-Qiang Tan, Ming-Ming Cheng, Chengze Lu, Yunpeng Chen

PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions

Kaichun Mo, He Wang, Xinchen Yan, Leonidas Guibas

Learning 3D Part Assembly from a Single Image

Yichen Li, Kaichun Mo, Lin Shao, Minhyuk Sung, Leonidas Guibas

Do Not Disturb Me: Person Re-identification Under the Interference of Other Pedestrians

Shizhen Zhao, Changxin Gao, Jun Zhang, Hao Cheng, Chuchu Han

Collaboration by Competition: Self-coordinated Knowledge Amalgamation for Multi-talent Student Learning

Sihui Luo, Wenwen Pan, Xinchao Wang, Dazhou Wang, Haihong Tang

Optical Flow Distillation: Towards Efficient and Stable Video Style Transfer

Xinghao Chen, Yiman Zhang, Yunhe Wang, Han Shu, Chunjing XU

STAR: Sparse Trained Articulated Human Body Regressor

Ahmed A. A. Osman, Timo Bolkart, Michael J. Black

The Hessian Penalty: A Weak Prior for Unsupervised Disentanglement

William Peebles, John Peebles, Jun-Yan Zhu, Alexei Efros, Antonio Torralba

Behind the Scene: Revealing the Secrets of Pre-trained Vision-and-Language Models

Jize Cao, Zhe Gan, Yu Cheng, Licheng Yu, Yen-Chun Chen

A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses

Malik Boudiaf, Jérôme Rony, Imtiaz Masud Ziko, Eric Granger, Marco Pedersoli

Sketch-Guided Object Localization in Natural Images

Rajath R. Dani, Anand Mishra Aditay Tripathi, Anirban Chakraborty

SODA: Story Oriented Dense Video Captioning Evaluation Framework

Soichiro Fujita, Tsutomu Hirao, Hidetaka Kamigaito, Manabu Okumura, Masaaki Nagata

Jointly learning visual motion and confidence from local patches in event cameras

Daniel R. Kepple, Daewon Lee, Colin Prepsius, Volkan Isler, Il Memming Park