CVPR 2020

1,466 papers

High-Dimensional Convolutional Networks for Geometric Pattern Recognition

Christopher Choy, Junha Lee, Rene Ranftl, Jaesik Park, Vladlen Koltun

Video Instance Segmentation Tracking With a Modified VAE Architecture

Chung-Ching Lin, Ying Hung, Rogerio Feris, Linglin He

RL-CycleGAN: Reinforcement Learning Aware Simulation-to-Real

Kanishka Rao, Chris Harris, Alex Irpan, Sergey Levine, Julian Ibarz

Hypergraph Attention Networks for Multimodal Learning

Eun-Sol Kim, Woo Young Kang, Kyoung-Woon On, Yu-Jung Heo, Byoung-tak Zhang

Vision-Language Navigation With Self-Supervised Auxiliary Reasoning Tasks

Fengda Zhu, Yi Zhu, Xiaojun Chang, Xiaodan Liang

Modality Shifting Attention Network for Multi-Modal Video Question Answering

Junyeong Kim, Minuk Ma, Trung Pham, Kyungsu Kim, Chang D. Yoo

Regularizing Class-Wise Predictions via Self-Knowledge Distillation

Sukmin Yun, Jongjin Park, Kimin Lee, Jinwoo Shin

DeFeat-Net: General Monocular Depth via Simultaneous Unsupervised Representation Learning

Jaime Spencer, Richard Bowden, Simon Hadfield

Prior Guided GAN Based Semantic Inpainting

Avisek Lahiri, Arnav Kumar Jain, Sanskar Agrawal, Pabitra Mitra, Prabir Kumar Biswas

Learning Selective Self-Mutual Attention for RGB-D Saliency Detection

Nian Liu, Ni Zhang, Junwei Han

Scale-Equalizing Pyramid Convolution for Object Detection

Xinjiang Wang, Shilong Zhang, Zhuoran Yu, Litong Feng, Wayne Zhang

Webly Supervised Knowledge Embedding Model for Visual Reasoning

Wenbo Zheng, Lan Yan, Chao Gou, Fei-Yue Wang

FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions

Alvin Wan, Xiaoliang Dai, Peizhao Zhang, Zijian He, Yuandong Tian

GrappaNet: Combining Parallel Imaging With Deep Learning for Multi-Coil MRI Reconstruction

Anuroop Sriram, Jure Zbontar, Tullie Murrell, C. Lawrence Zitnick, Aaron Defazio

Open Compound Domain Adaptation

Ziwei Liu, Zhongqi Miao, Xingang Pan, Xiaohang Zhan, Dahua Lin

iTAML: An Incremental Task-Agnostic Meta-learning Approach

Jathushan Rajasegaran, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Mubarak Shah

Iterative Answer Prediction With Pointer-Augmented Multimodal Transformers for TextVQA

Ronghang Hu, Amanpreet Singh, Trevor Darrell, Marcus Rohrbach

SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition

Zhi Qiao, Yu Zhou, Dongbao Yang, Yucan Zhou, Weiping Wang

Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias

Krishna Kumar Singh, Dhruv Mahajan, Kristen Grauman, Yong Jae Lee, Matt Feiszli

Deep Residual Flow for Out of Distribution Detection

Ev Zisselman, Aviv Tamar

AugFPN: Improving Multi-Scale Feature Learning for Object Detection

Chaoxu Guo, Bin Fan, Qian Zhang, SHIMING XIANG, Chunhong Pan

Large-Scale Object Detection in the Wild From Imbalanced Multi-Labels

Junran Peng, Xingyuan Bu, Ming Sun, Zhaoxiang Zhang, Tieniu Tan

SharinGAN: Combining Synthetic and Real Data for Unsupervised Geometry Estimation

Koutilya PNVR, Hao Zhou, David Jacobs

Attention-Guided Hierarchical Structure Aggregation for Image Matting

Yu Qiao, Yuhao Liu, Xin Yang, Dongsheng Zhou, Mingliang Xu

FeatureFlow: Robust Video Interpolation via Structure-to-Texture Generation

Shurui Gui, Chaoyue Wang, Qihua Chen, Dacheng Tao

ABCNet: Real-Time Scene Text Spotting With Adaptive Bezier-Curve Network

Yuliang Liu, Hao Chen, Chunhua Shen, Tong He, LianWen Jin

Estimating Low-Rank Region Likelihood Maps

Gabriela Csurka, Zoltan Kato, Andor Juhasz, Martin Humenberger

You2Me: Inferring Body Pose in Egocentric Video via First and Second Person Interactions

Evonne Ng, Donglai Xiang, Hanbyul Joo, Kristen Grauman

X-Linear Attention Networks for Image Captioning

Yingwei Pan, Ting Yao, Yehao Li, Tao Mei

Scalable Uncertainty for Computer Vision With Functional Variational Inference

Eduardo D. C. Carvalho, Ronald Clark, Andrea Nicastro, Paul H. J. Kelly

Unifying Training and Inference for Panoptic Segmentation

Qizhu Li, Xiaojuan Qi, Philip H.S. Torr

Explaining Knowledge Distillation by Quantifying the Knowledge

Xu Cheng, Zhefan Rao, Yilan Chen, Quanshi Zhang

Multiple Anchor Learning for Visual Object Detection

Wei Ke, Tianliang Zhang, Zeyi Huang, Qixiang Ye, Jianzhuang Liu

UNAS: Differentiable Architecture Search Meets Reinforcement Learning

Arash Vahdat, Arun Mallya, Ming-Yu Liu, Jan Kautz

Squeeze-and-Attention Networks for Semantic Segmentation

Zilong Zhong, Zhong Qiu Lin, Rene Bidart, Xiaodan Hu, Ibrahim Ben Daya

Visual Commonsense R-CNN

Tan Wang, Jianqiang Huang, Hanwang Zhang, Qianru Sun

Discovering Human Interactions With Novel Objects via Zero-Shot Learning

Suchen Wang, Kim-Hui Yap, Junsong Yuan, Yap-Peng Tan

Gait Recognition via Semi-supervised Disentangled Representation Learning to Identity and Covariate Features

Xiang Li, Yasushi Makihara, Chi Xu, Yasushi Yagi, Mingwu Ren

Incremental Learning in Online Scenario

Jiangpeng He, Runyu Mao, Zeman Shao, Fengqing Zhu

Exploring Categorical Regularization for Domain Adaptive Object Detection

Chang-Dong Xu, Xing-Ran Zhao, Xin Jin, Xiu-Shen Wei

Music Gesture for Visual Sound Separation

Chuang Gan, Deng Huang, Hang Zhao, Joshua B. Tenenbaum, Antonio Torralba

Inferring Attention Shift Ranks of Objects for Image Saliency

Avishek Siris, Jianbo Jiao, Gary K.L. Tam, Xianghua Xie, Rynson W.H. Lau

Look-Into-Object: Self-Supervised Structure Modeling for Object Recognition

Mohan Zhou, Yalong Bai, Wei Zhang, Tiejun Zhao, Tao Mei

LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud Based Deep Networks

Hang Zhou, Dongdong Chen, Jing Liao, Kejiang Chen, Xiaoyi Dong

Label Decoupling Framework for Salient Object Detection

Jun Wei, Shuhui Wang, Zhe Wu, Chi Su, Qingming Huang

BEDSR-Net: A Deep Shadow Removal Network From a Single Document Image

Yun-Hsuan Lin, Wen-Chin Chen, Yung-Yu Chuang

Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data

Qi Chang, Hui Qu, Yikai Zhang, Mert Sabuncu, Chao Chen

Two-Stage Peer-Regularized Feature Recombination for Arbitrary Image Style Transfer

Jan Svoboda, Asha Anoosheh, Christian Osendorfer, Jonathan Masci

Rethinking Classification and Localization for Object Detection

Yue Wu, Yinpeng Chen, Lu Yuan, Zicheng Liu, Lijuan Wang

D2Det: Towards High Quality Object Detection and Instance Segmentation

Jiale Cao, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Yanwei Pang

Conditional Gaussian Distribution Learning for Open Set Recognition

Xin Sun, Zhenning Yang, Chi Zhang, Keck-Voon Ling, Guohao Peng

DeepEMD: Few-Shot Image Classification With Differentiable Earth Mover's Distance and Structured Classifiers

Chi Zhang, Yujun Cai, Guosheng Lin, Chunhua Shen

Improving Action Segmentation via Graph-Based Temporal Reasoning

Yifei Huang, Yusuke Sugano, Yoichi Sato

MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps

Pengxiang Wu, Siheng Chen, Dimitris N. Metaxas

Local-Global Video-Text Interactions for Temporal Grounding

Jonghwan Mun, Minsu Cho, Bohyung Han

MetaFuse: A Pre-trained Fusion Model for Human Pose Estimation

Rongchang Xie, CHUNYU WANG, Yizhou Wang

SwapText: Image Based Texts Transfer in Scenes

Qiangpeng Yang, Jun Huang, Wei LIN

STEFANN: Scene Text Editor Using Font Adaptive Neural Network

Prasun Roy, Saumik Bhattacharya, Subhankar Ghosh, Umapada Pal

Physically Realizable Adversarial Examples for LiDAR Object Detection

James Tu, Mengye Ren, Sivabalan Manivasagam, Ming Liang, Bin Yang

Multimodal Categorization of Crisis Events in Social Media

Mahdi Abavisani, Liwei Wu, Shengli Hu, Joel Tetreault, Alejandro Jaimes

DOPS: Learning to Detect 3D Objects and Predict Their 3D Shapes

Mahyar Najibi, Guangda Lai, Abhijit Kundu, Zhichao Lu, Vivek Rathod

Sequential Motif Profiles and Topological Plots for Offline Signature Verification

Elias N. Zois, Evangelos Zervas, Dimitrios Tsourounis, George Economou

Generalized ODIN: Detecting Out-of-Distribution Image Without Learning From Out-of-Distribution Data

Yen-Chang Hsu, Yilin Shen, Hongxia Jin, Zsolt Kira

Neural Topological SLAM for Visual Navigation

Devendra Singh Chaplot, Ruslan Salakhutdinov, Abhinav Gupta, Saurabh Gupta

Densely Connected Search Space for More Flexible Neural Architecture Search

Jiemin Fang, Yuzhu Sun, Qian Zhang, Yuan Li, Wenyu Liu

Learning When and Where to Zoom With Deep Reinforcement Learning

Burak Uzkent, Stefano Ermon

Exploring Category-Agnostic Clusters for Open-Set Domain Adaptation

Yingwei Pan, Ting Yao, Yehao Li, Chong-Wah Ngo, Tao Mei

Orderless Recurrent Models for Multi-Label Classification

Vacit Oguz Yazici, Abel Gonzalez-Garcia, Arnau Ramisa, Bartlomiej Twardowski, Joost van de Weijer

Mnemonics Training: Multi-Class Incremental Learning Without Forgetting

Yaoyao Liu, Yuting Su, An-An Liu, Bernt Schiele, Qianru Sun

JA-POLS: A Moving-Camera Background Model via Joint Alignment and Partially-Overlapping Local Subspaces

Irit Chelly, Vlad Winter, Dor Litvak, David Rosen, Oren Freifeld

Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN

Jingwen Ye, Yixin Ji, Xinchao Wang, Xin Gao, Mingli Song

Non-Local Neural Networks With Grouped Bilinear Attentional Transforms

Lu Chi, Zehuan Yuan, Yadong Mu, Changhu Wang

HCNAF: Hyper-Conditioned Neural Autoregressive Flow and its Application for Probabilistic Occupancy Map Forecasting

Geunseob Oh, Jean-Sebastien Valois

Meshed-Memory Transformer for Image Captioning

Marcella Cornia, Matteo Stefanini, Lorenzo Baraldi, Rita Cucchiara

GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping

Hao-Shu Fang, Chenxi Wang, Minghao Gou, Cewu Lu

Interactive Object Segmentation With Inside-Outside Guidance

Shiyin Zhang, Jun Hao Liew, Yunchao Wei, Shikui Wei, Yao Zhao

Correspondence Networks With Adaptive Neighbourhood Consensus

Shuda Li, Kai Han, Theo W. Costain, Henry Howard-Jenkins, Victor Prisacariu

Weakly-Supervised Salient Object Detection via Scribble Annotations

Jing Zhang, Xin Yu, Aixuan Li, Peipei Song, Bowen Liu

Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition

Luming Tang, Davis Wertheimer, Bharath Hariharan

Generalizing Hand Segmentation in Egocentric Videos With Uncertainty-Guided Model Adaptation

Minjie Cai, Feng Lu, Yoichi Sato

Probabilistic Video Prediction From Noisy Data With a Posterior Confidence

Yunbo Wang, Jiajun Wu, Mingsheng Long, Joshua B. Tenenbaum

Context Aware Graph Convolution for Skeleton-Based Action Recognition

Xikun Zhang, Chang Xu, Dacheng Tao

Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models

Giannis Daras, Augustus Odena, Han Zhang, Alexandros G. Dimakis

Learning Depth-Guided Convolutions for Monocular 3D Object Detection

Mingyu Ding, Yuqi Huo, Hongwei Yi, Zhe Wang, Jianping Shi

Where, What, Whether: Multi-Modal Learning Meets Pedestrian Detection

Yan Luo, Chongyang Zhang, Muming Zhao, Hao Zhou, Jun Sun

Multi-Task Collaborative Network for Joint Referring Expression Comprehension and Segmentation

Gen Luo, Yiyi Zhou, Xiaoshuai Sun, Liujuan Cao, Chenglin Wu

Towards Inheritable Models for Open-Set Domain Adaptation

Jogendra Nath Kundu, Naveen Venkat, Ambareesh Revanur, Rahul M V, R. Venkatesh Babu

Visual-Textual Capsule Routing for Text-Based Video Segmentation

Bruce McIntosh, Kevin Duarte, Yogesh S Rawat, Mubarak Shah

Deep Degradation Prior for Low-Quality Image Classification

Yang Wang, Yang Cao, Zheng-Jun Zha, Jing Zhang, Zhiwei Xiong

Gradually Vanishing Bridge for Adversarial Domain Adaptation

Shuhao Cui, Shuhui Wang, Junbao Zhuo, Chi Su, Qingming Huang

Learning a Weakly-Supervised Video Actor-Action Segmentation Model With a Wise Selection

Jie Chen, Zhiheng Li, Jiebo Luo, Chenliang Xu

Fast Sparse ConvNets

Erich Elsen, Marat Dukhan, Trevor Gale, Karen Simonyan

Set-Constrained Viterbi for Set-Supervised Action Segmentation

Jun Li, Sinisa Todorovic

Just Go With the Flow: Self-Supervised Scene Flow Estimation

Himangi Mittal, Brian Okorn, David Held

Orthogonal Convolutional Neural Networks

Jiayun Wang, Yubei Chen, Rudrasis Chakraborty, Stella X. Yu

Learning Visual Motion Segmentation Using Event Surfaces

Anton Mitrokhin, Zhiyuan Hua, Cornelia Fermuller, Yiannis Aloimonos

ZeroQ: A Novel Zero Shot Quantization Framework

Yaohui Cai, Zhewei Yao, Zhen Dong, Amir Gholami, Michael W. Mahoney

Maintaining Discrimination and Fairness in Class Incremental Learning

Bowen Zhao, Xi Xiao, Guojun Gan, Bin Zhang, Shu-Tao Xia

Structured Multi-Hashing for Model Compression

Elad Eban, Yair Movshovitz-Attias, Hao Wu, Mark Sandler, Andrew Poon

Video Panoptic Segmentation

Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon