IJCAI 2022

862 papers

Learning to Estimate Object Poses without Real Image Annotations

Haotong Lin, Sida Peng, Zhize Zhou, Xiaowei Zhou

RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-on

Chao Lin, Zhao Li, Sheng Zhou, Shichang Hu, Jialun Zhang

Feature Dense Relevance Network for Single Image Dehazing

Yun Liang, Enze Huang, Zifeng Zhang, Zhuo Su, Dong Wang

Self-supervised Learning and Adaptation for Single Image Dehazing

Yudong Liang, Bin Wang, Wangmeng Zuo, Jiaying Liu, Wenqi Ren

Multi-View Visual Semantic Embedding

Zheng Li, Caili Guo, Zerun Feng, Jenq-Neng Hwang, Xijun Xue

Unsupervised Embedding and Association Network for Multi-Object Tracking

Yu-Lei Li

PRNet: Point-Range Fusion Network for Real-Time LiDAR Semantic Segmentation

Xiaoyan Li, Gang Zhang, Tao Jiang, Xufen Cai, Zhenhua Wang

TCCNet: Temporally Consistent Context-Free Network for Semi-supervised Video Polyp Segmentation

Xiaotong Li, Jilan Xu, Yuejie Zhang, Rui Feng, Rui-Wei Zhao

Learning Graph-based Residual Aggregation Network for Group Activity Recognition

Wei Li, Tianzhao Yang, Xiao Wu, Zhaoquan Yuan

Dite-HRNet: Dynamic Lightweight High-Resolution Network for Human Pose Estimation

Qun Li, Ziyi Zhang, Fu Xiao, Feng Zhang, Bir Bhanu

RePFormer: Refinement Pyramid Transformer for Robust Facial Landmark Detection

Jinpeng Li, Haibo Jin, Shengcai Liao, Ling Shao, Pheng-Ann Heng

ER-SAN: Enhanced-Adaptive Relation Self-Attention Network for Image Captioning

Jingyu Li, Zhendong Mao, Shancheng Fang, Hao Li

MMNet: Muscle Motion-Guided Network for Micro-Expression Recognition

Hanting Li, Mingzhe Sui, Zhaoqing Zhu, Feng Zhao

Self-Guided Hard Negative Generation for Unsupervised Person Re-Identification

Dongdong Li, Zhigang Wang, Jian Wang, Xinyu Zhang, Errui Ding

Representation Learning for Compressed Video Action Recognition via Attentive Cross-modal Interaction with Motion Enhancement

Bing Li, JIAXIN CHEN, Dongming Zhang, Xiuguo Bao, Di Huang

Iterative Geometry-Aware Cross Guidance Network for Stereo Image Inpainting

Ang Li, Shanshan Zhao, Zhang Qingjie, Qiuhong Ke

Learning to Assemble Geometric Shapes

Jinhwi Lee, Jungtaek Kim, Hyunsoo Chung, Jaesik Park, Minsu Cho

What is Right for Me is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning

Jae Hee Lee, Matthias Kerzel, Kyra Ahrens, Cornelius Weber, Stefan Wermter

PlaceNet: Neural Spatial Representation Learning with Multimodal Attention

Chung-Yeon Lee, Youngjae Yoo, Byoung-tak Zhang

Beyond the Prototype: Divide-and-conquer Proxies for Few-shot Segmentation

Chunbo Lang, Binfei Tu, Gong Cheng, Junwei Han

Attention-guided Contrastive Hashing for Long-tailed Image Retrieval

Xuan Kou, Chenghao Xu, Xu Yang, Cheng Deng

Robustifying Vision Transformer without Retraining from Scratch by Test-Time Class-Conditional Feature Alignment

Takeshi Kojima, Yutaka Matsuo, Yusuke Iwasawa

Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking

Ilchae Jung, Minji Kim, Eunhyeok Park, Bohyung Han

Domain Generalization through the Lens of Angular Invariance

Yujie Jin, Xu Chu, Yasha Wang, Wenwu Zhu

SatFormer: Saliency-Guided Abnormality-Aware Transformer for Retinal Disease Classification in Fundus Image

Yankai Jiang, Ke Xu, Xinyue Wang, Yuan Li, Hongguang Cui

DANet: Image Deraining via Dynamic Association Learning

Kui Jiang, Zhongyuan Wang, Zheng Wang, Peng Yi, Junjun Jiang

AQT: Adversarial Query Transformers for Domain Adaptive Object Detection

Wei-Jie Huang, Yu-Lin Lu, Shih-Yao Lin, Yusheng Xie, Yen-yu Lin

ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise  Perspective for Medical Image Segmentation

Huimin Huang, Shiao Xie, Lanfen Lin, Yutaro Iwamoto, Xian-Hua Han

Semantic Compression Embedding for Generative Zero-Shot Learning

Ziming Hong, Shiming Chen, Guo-sen Xie, Wenhan Yang, Jian Zhao

Self-supervised Semantic Segmentation Grounded in Visual Concepts

Wenbin He, William Surmeier, Arvind Kumar Shekar, Liang Gou, Liu Ren

Rethinking Image Aesthetics Assessment: Models, Datasets and Benchmarks

Shuai He, Yongchang Zhang, Rui Xie, Dongxiang Jiang, Anlong Ming

Exploring Fourier Prior for Single Image Rain Removal

Xin Guo, Xueyang Fu, man zhou, Zhen Huang, Jialun Peng

Learning Target-aware Representation for Visual Tracking via Informative Interactions

Mingzhe Guo, Zhipeng Zhang, Heng Fan, Liping Jing, Yilin Lyu

Region-Aware Temporal Inconsistency Learning for DeepFake Video Detection

Zhihao Gu, Taiping Yao, Yang Chen, Ran Yi, Shouhong Ding

Lightweight Bimodal Network for Single-Image Super-Resolution via Symmetric CNN and Recursive Transformer

Guangwei Gao, Zhengxue Wang, Juncheng Li, Wenjie Li, Yi Yu

SparseTT: Visual Tracking with Sparse Transformers

Zhihong Fu, Zehua Fu, Qingjie LIU, Wenrui Cai, Yunhong Wang

D-DPCC: Deep Dynamic Point Cloud Compression via 3D Motion Prediction

Tingyu Fan, Linyao Gao, Yiling Xu, Zhu Li, Dong Wang

Learning Coated Adversarial Camouflages for Object Detectors

Yexin Duan, Jialin Chen, Xingyu Zhou, Junhua Zou, Zhengyun He

SVTR: Scene Text Recognition with a Single Visual Model

Yongkun Du, Zhineng Chen, Caiyan Jia, Xiaoting Yin, Tianlun Zheng

ICGNet: Integration Context-based Reverse-Contour Guidance Network for Polyp Segmentation

Xiuquan Du, Xuebin Xu, Kunpeng Ma

MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image Segmentation

Zhangfu Dong, Yuting He, Xiaoming Qi, Yang Chen, Huazhong Shu

Region-Aware Metric Learning for Open World Semantic Segmentation via Meta-Channel Aggregation

Hexin Dong, Zifan Chen, Mingze Yuan, Yutong Xie, Jie Zhao

I²R-Net: Intra- and Inter-Human Relation Network for Multi-Person Pose Estimation

Yiwei Ding, Wenjin Deng, Yinglin Zheng, Pengfei Liu, Meihong Wang

Robust Single Image Dehazing Based on Consistent and Contrast-Assisted Reconstruction

De Cheng, Yan Li, Dingwen Zhang, Nannan Wang, Xinbo Gao

SpanConv: A New Convolution via Spanning Kernel Space for Lightweight Pansharpening

Zhi-Xuan Chen, Cheng Jin, Tian-Jing Zhang, Xiao Wu, Liang-Jian Deng

Unsupervised Multi-Modal Medical Image Registration via Discriminator-Free Image-to-Image Translation

Zekang Chen, Jia wei, Rui Li

AutoAlign: Pixel-Instance Feature Aggregation for Multi-Modal 3D Object Detection

Zehui Chen, Zhenyu Li, Shiquan Zhang, Liangji Fang, Qinhong Jiang

Uncertainty-Aware Representation Learning for Action Segmentation

Lei Chen, Muheng Li, Yueqi Duan, Jie Zhou, Jiwen Lu

Zero-Shot Logit Adjustment

Dubing Chen, Yuming Shen, Haofeng Zhang, Philip H.S. Torr

KPN-MFI: A Kernel Prediction Network with Multi-frame Interaction for Video Inverse Tone Mapping

Gaofeng Cao, Fei Zhou, Han Yan, Anjie Wang, Leidong Fan

Event-driven Video Deblurring via Spatio-Temporal Relation-Aware Network

Chengzhi Cao, Xueyang Fu, Yurui Zhu, Gege Shi, Zheng-Jun Zha

MotionMixer: MLP-based 3D Human Body Pose Forecasting

Arij Bouazizi, Adrian Holzbock, Ulrich Kressel, Klaus Dietmayer, Vasileios Belagiannis

Approximately EFX Allocations for Indivisible Chores

Shengwei Zhou, Xiaowei Wu

MetaFinger: Fingerprinting the Deep Neural Networks with Meta-training

Kang Yang, Run Wang, Lina Wang

Cluster Attack: Query-based Adversarial Attacks on Graph with Graph-Dependent Priors

Zhengyi Wang, Zhongkai Hao, Ziqiao Wang, Hang Su, Jun Zhu

Anti-Forgery: Towards a Stealthy and Robust DeepFake Disruption Attack via Adversarial Perceptual-aware Perturbations

Run Wang, Ziheng Huang, Zhikai Chen, Li Liu, Jing Chen

Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection

Wei Wan, Shengshan Hu, Jianrong Lu, Leo Yu Zhang, Hai Jin

What Does My GNN Really Capture? On Exploring Internal GNN Representations

Luca Veyrin-Forrer, Ataollah Kamal, Stefan Duffner, Marc Plantevit, Céline Robardet

BayCon: Model-agnostic Bayesian Counterfactual Generator

Piotr Romashov, Martin Gjoreski, Kacper Sokol, Maria Vanina Martinez, Marc Langheinrich

Counterfactual Interpolation Augmentation (CIA): A Unified Approach to Enhance Fairness and Explainability of DNN

Yao Qiang, Chengyin Li, Marco Brocanelli, Dongxiao Zhu

AttExplainer: Explain Transformer via Attention by Reinforcement Learning

Runliang Niu, Zhepei Wei, Yan Wang, Qi Wang

Investigating and Explaining the Frequency Bias in Image Classification

Zhiyu Lin, Yifei Gao, Jitao Sang

Model Stealing Defense against Exploiting Information Leak through the Interpretation of Deep Neural Nets

Jeonghyun Lee, Sungmin Han, Sangkyun Lee

Taking Situation-Based Privacy Decisions: Privacy Assistants Working with Humans

Nadin Kökciyan, Pinar Yolum

Fairness without the Sensitive Attribute via Causal Variational Autoencoder

Vincent Grari, Sylvain Lamprier, Marcin Detyniecki

SoFaiR: Single Shot Fair Representation Learning

Xavier Gitiaux, Huzefa Rangwala

PPT: Backdoor Attacks on Pre-trained Models via Poisoned Prompt Tuning

Wei Du, Yichun Zhao, Boqun Li, Gongshen Liu, Shilin Wang

CAT: Customized Adversarial Training for Improved Robustness

Minhao Cheng, Qi Lei, Pin-Yu Chen, Inderjit Dhillon, Cho-jui Hsieh

Learn to Reverse DNNs from AI Programs Automatically

Simin Chen, Hamed Khanpour, Cong Liu, Wei Yang

How Does Frequency Bias Affect the Robustness of Neural Image Classifiers against Common Corruption and Adversarial Perturbations?

Alvin Chan, Yew Soon Ong, Clement Tan

Individual Fairness Guarantees for Neural Networks

Elias Benussi, Andrea Patane', Matthew Wicker, Luca Laurenti, Marta Kwiatkowska

On Preferred Abductive Explanations for Decision Trees and Random Forests

Gilles Audemard, Steve Bellart, Louènas Bounia, Frédéric Koriche, Jean-Marie Lagniez

Axiomatic Foundations of Explainability

Leila Amgoud, Jonathan Ben-Naim

Detecting Out-Of-Context Objects Using Graph Contextual Reasoning Network

Manoj Acharya, Anirban Roy, Kaushik Koneripalli, Susmit Jha, Christopher Kanan

Evolutionary Approach to Security Games with Signaling

Adam Żychowski, Jacek Mańdziuk, Elizabeth Bondi, Aravind Venugopal, Milind Tambe

Strategyproof Mechanisms for Group-Fair Facility Location Problems

Houyu Zhou, Minming Li, Hau Chan

Correlation-Based Algorithm for Team-Maxmin Equilibrium in Multiplayer Extensive-Form Games

Youzhi Zhang, Bo An, V. S. Subrahmanian

Multi-Agent Concentrative Coordination with Decentralized Task Representation

Lei Yuan, Chenghe Wang, Jianhao Wang, Fuxiang Zhang, Feng Chen

Environment Design for Biased Decision Makers

Guanghui Yu, Chien-Ju Ho

On the Complexity of Calculating Approval-Based Winners in Candidates-Embedded Metrics

Yongjie Yang

Efficient Multi-Agent Communication via Shapley Message Value

Di Xue, Lei Yuan, Zongzhang Zhang, Yang Yu

Mechanism Design with Predictions

Chenyang Xu, Pinyan Lu

Fast and Fine-grained Autoscaler for Streaming Jobs with Reinforcement Learning

Mingzhe Xing, Hangyu Mao, Zhen Xiao

Manipulating Elections by Changing Voter Perceptions

Junlin Wu, Andrew Estornell, Lecheng Kong, Yevgeniy Vorobeychik

Fourier Analysis-based Iterative Combinatorial Auctions

Jakob Weissteiner, Chris Wendler, Sven Seuken, Ben Lubin, Markus Püschel

Monotone-Value Neural Networks: Exploiting Preference Monotonicity in Combinatorial Assignment

Jakob Weissteiner, Jakob Heiss, Julien Siems, Sven Seuken

Modelling the Dynamics of Regret Minimization in Large Agent Populations: a Master Equation Approach

Zhen Wang, Chunjiang Mu, Shuyue Hu, Chen Chu, Xuelong Li

Strategy Proof Mechanisms for Facility Location with Capacity Limits

Toby Walsh

Max-Sum with Quadtrees for Decentralized Coordination in Continuous Domains

Dimitrios Troullinos, Georgios Chalkiadakis, Vasilis Samoladas, Markos Papageorgiou

Real-Time BDI Agents: A Model and Its Implementation

Andrea Traldi, Francesco Bruschetti, Marco Robol, Marco Roveri, Paolo Giorgini

Search-Based Testing of Reinforcement Learning

Martin Tappler, Filip Cano Córdoba, Bernhard K. Aichernig, Bettina Könighofer

How to Sample Approval Elections?

Stanisław Szufa, Piotr Faliszewski, Łukasz Janeczko, Martin Lackner, Arkadii Slinko

Maxmin Participatory Budgeting

Gogulapati Sreedurga, Mayank Ratan Bhardwaj, Yadati Narahari

Near-Tight Algorithms for the Chamberlin-Courant and Thiele Voting Rules

Krzysztof Sornat, Virginia Vassilevska Williams, Yinzhan Xu

Multiwinner Elections under Minimax Chamberlin-Courant Rule in Euclidean Space

Chinmay Sonar, Subhash Suri, Jie Xue

Transfer Learning Based Adaptive Automated Negotiating Agent Framework

Ayan Sengupta, Shinji Nakadai, Yasser Mohammad

The Power of Media Agencies in Ad Auctions: Improving Utility through Coordinated Bidding

Giulia Romano, Matteo Castiglioni, Alberto Marchesi, Nicola Gatti

Exploring the Benefits of Teams in Multiagent Learning

David Radke, Kate Larson, Tim Brecht

Fair, Individually Rational and Cheap Adjustment

Gleb Polevoy, Marcin Dziubiński

I Will Have Order! Optimizing Orders for Fair Reviewer Assignment

Justin Payan, Yair Zick