AAAI 2022

1,624 papers

The SoftCumulative Constraint with Quadratic Penalty

Yanick Ouellet, Claude-Guy Quimper

Analysis of Pure Literal Elimination Rule for Non-uniform Random (MAX) k-SAT Problem with an Arbitrary Degree Distribution

Oleksii Omelchenko, Andrei A. Bulatov

Learning to Search in Local Branching

Defeng Liu, Matteo Fischetti, Andrea Lodi

Finding Backdoors to Integer Programs: A Monte Carlo Tree Search Framework

Elias B. Khalil, Pashootan Vaezipoor, Bistra Dilkina

Using MaxSAT for Efficient Explanations of Tree Ensembles

Alexey Ignatiev, Yacine Izza, Peter J. Stuckey, Joao Marques-Silva

Optimizing Binary Decision Diagrams with MaxSAT for Classification

Hao Hu, Marie-José Huguet, Mohamed Siala

Computing Diverse Shortest Paths Efficiently: A Theoretical and Experimental Study

Tesshu Hanaka, Yasuaki Kobayashi, Kazuhiro Kurita, See Woo Lee, Yota Otachi

A Divide and Conquer Algorithm for Predict+Optimize with Non-convex Problems

Ali Ugur Guler, Emir Demirović, Jeffrey Chan, James Bailey, Christopher Leckie

Faster Algorithms for Weak Backdoors

Serge Gaspers, Andrew Kaploun

Efficient Riemannian Meta-Optimization by Implicit Differentiation

Xiaomeng Fan, Yuwei Wu, Zhi Gao, Yunde Jia, Mehrtash Harandi

Resolving Inconsistencies in Simple Temporal Problems: A Parameterized Approach

Konrad K. Dabrowski, Peter Jonsson, Sebastian Ordyniak, George Osipov

A Lyapunov-Based Methodology for Constrained Optimization with Bandit Feedback

Semih Cayci, Yilin Zheng, Atilla Eryilmaz

The Perils of Learning Before Optimizing

Chris Cameron, Jason Hartford, Taylor Lundy, Kevin Leyton-brown

Certified Symmetry and Dominance Breaking for Combinatorial Optimisation

Bart Bogaerts, Stephan Gocht, Ciaran McCreesh, Jakob Nordström

GEQCA: Generic Qualitative Constraint Acquisition

Mohamed-Bachir Belaid, Nassim Belmecheri, Arnaud Gotlieb, Nadjib Lazaar, Helge Spieker

Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach

Qinbo Bai, Amrit Singh Bedi, Mridul Agarwal, Alec Koppel, Vaneet Aggarwal

Undercover Boolean Matrix Factorization with MaxSAT

Florent Avellaneda, Roger Villemaire

Making Adversarial Examples More Transferable and Indistinguishable

Junhua Zou, Yexin Duan, Boyu Li, Wu Zhang, Yu Pan

ACDNet: Adaptively Combined Dilated Convolution for Monocular Panorama Depth Estimation

Chuanqing Zhuang, Zhengda Lu, Yiqun Wang, Jun Xiao, Ying Wang

Learning Disentangled Classification and Localization Representations for Temporal Action Localization

Zixin Zhu, Le Wang, Wei Tang, Ziyi Liu, Nanning Zheng

Efficient Model-Driven Network for Shadow Removal

Yurui Zhu, Zeyu Xiao, Yanchi Fang, Xueyang Fu, Zhiwei Xiong

Robust Depth Completion with Uncertainty-Driven Loss Functions

Yufan Zhu, Weisheng Dong, Leida Li, Jinjian Wu, Xin Li

MoCaNet: Motion Retargeting In-the-Wild via Canonicalization Networks

Wentao Zhu, Zhuoqian Yang, Ziang Di, Wayne Wu, Yizhou Wang

I Can Find You! Boundary-Guided Separated Attention Network for Camouflaged Object Detection

Hongwei Zhu, Peng Li, Haoran Xie, Xuefeng Yan, Dong Liang

Deep Recurrent Neural Network with Multi-Scale Bi-directional Propagation for Video Deblurring

Chao Zhu, Hang Dong, Jinshan Pan, Boyang Liang, Yuhao Huang

Cross-Domain Empirical Risk Minimization for Unbiased Long-Tailed Classification

Beier Zhu, Yulei Niu, Xian-Sheng Hua, Hanwang Zhang

TiGAN: Text-Based Interactive Image Generation and Manipulation

Yufan Zhou, Ruiyi Zhang, Jiuxiang Gu, Chris Tensmeyer, Tong Yu

Edge-Aware Guidance Fusion Network for RGB–Thermal Scene Parsing

Wujie Zhou, Shaohua Dong, Caie Xu, Yaguan Qian

Promoting Single-Modal Optical Flow Network for Diverse Cross-Modal Flow Estimation

Shili Zhou, Weimin Tan, Bo Yan

RETRACTED: Pan-Sharpening with Customized Transformer and Invertible Neural Network

man zhou, Jie Huang, Yanchi Fang, Xueyang Fu, Aiping Liu

SepFusion: Finding Optimal Fusion Structures for Visual Sound Separation

Dongzhan Zhou, Xinchi Zhou, Di Hu, Hang Zhou, LEI BAI

SCALoss: Side and Corner Aligned Loss for Bounding Box Regression

Tu Zheng, Shuai Zhao, Yang Liu, Zili Liu, Deng Cai

Dual Decoupling Training for Semi-supervised Object Detection with Noise-Bypass Head

Shida Zheng, Chenshu Chen, Xiaowei Cai, Tingqun Ye, Wenming Tan

Weakly Supervised Video Moment Localization with Contrastive Negative Sample Mining

Minghang Zheng, Yanjie Huang, Qingchao Chen, Yang Liu

Boosting Contrastive Learning with Relation Knowledge Distillation

Kai Zheng, Yuanjiang Wang, Ye Yuan

Handling Slice Permutations Variability in Tensor Recovery

Jingjing Zheng, Xiaoqin Zhang, Wenzhe Wang, Xianta Jiang

Learning from the Tangram to Solve Mini Visual Tasks

Yizhou Zhao, Liang Qiu, Pan Lu, Feng Shi, Tian Han

CADRE: A Cascade Deep Reinforcement Learning Framework for Vision-Based Autonomous Urban Driving

Yinuo Zhao, Kun Wu, Zhiyuan Xu, Zhengping Che, Qi Lu

Adaptive Logit Adjustment Loss for Long-Tailed Visual Recognition

Yan Zhao, Weicong Chen, Xu Tan, Kai Huang, Jihong Zhu

Self-Supervised Pretraining for RGB-D Salient Object Detection

Xiaoqi Zhao, Youwei Pang, Lihe Zhang, Huchuan Lu, Xiang Ruan

Boosting Generative Zero-Shot Learning by Synthesizing Diverse Features with Attribute Augmentation

Xiaojie Zhao, Yuming Shen, Shidong Wang, Haofeng Zhang

Local Surface Descriptor for Geometry and Feature Preserved Mesh Denoising

Wenbo Zhao, Xianming Liu, Junjun Jiang, Debin Zhao, Ge Li

Static-Dynamic Co-teaching for Class-Incremental 3D Object Detection

Na Zhao, Gim Hee Lee

OA-FSUI2IT: A Novel Few-Shot Cross Domain Object Detection Framework with Object-Aware Few-Shot Unsupervised Image-to-Image Translation

Lifan Zhao, Yunlong Meng, Lin Xu

Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding

Zizhao Zhang, Han Zhang, Long Zhao, Ting Chen, Sercan Ö. Arik

PetsGAN: Rethinking Priors for Single Image Generation

Zicheng Zhang, Yinglu Liu, Congying Han, Hailin Shi, Tiande Guo

End-to-End Learning the Partial Permutation Matrix for Robust 3D Point Cloud Registration

Zhiyuan Zhang, Jiadai Sun, Yuchao Dai, Dingfu Zhou, Xibin Song

Pose-Invariant Face Recognition via Adaptive Angular Distillation

Zhenduo Zhang, Yongru Chen, Wenming Yang, Guijin Wang, Qingmin Liao

Contrastive Spatio-Temporal Pretext Learning for Self-Supervised Video Representation

Yujia Zhang, Lai-Man Po, Xuyuan Xu, Mengyang Liu, Yexin Wang

An Adversarial Framework for Generating Unseen Images by Activation Maximization

Yang Zhang, Wang Zhou, Gaoyuan Zhang, David Cox, Shiyu Chang

Learning Network Architecture for Open-Set Recognition

Xuelin Zhang, Xuelian Cheng, Donghao Zhang, Paul Bonnington, Zongyuan Ge

Context-Based Contrastive Learning for Scene Text Recognition

Xinyun Zhang, Binwu Zhu, Xufeng Yao, Qi Sun, Ruiyu Li

Class Guided Channel Weighting Network for Fine-Grained Semantic Segmentation

Xiang Zhang, Wanqing Zhao, Hangzai Luo, Jinye Peng, Jianping Fan

MAGIC: Multimodal relAtional Graph adversarIal inferenCe for Diverse and Unpaired Text-Based Image Captioning

Wenqiao Zhang, Haochen Shi, Jiannan Guo, Shengyu Zhang, Qingpeng Cai

Deep Spatial Adaptive Network for Real Image Demosaicing

Tao Zhang, Ying Fu, Cheng Li

Uncertainty Modeling with Second-Order Transformer for Group Re-identification

Quan Zhang, Jian-Huang Lai, Zhanxiang Feng, Xiaohua Xie

LGD: Label-Guided Self-Distillation for Object Detection

Peizhen Zhang, Zijian Kang, Tong Yang, Xiangyu Zhang, Nanning Zheng

Suppressing Static Visual Cues via Normalizing Flows for Self-Supervised Video Representation Learning

Manlin Zhang, Jinpeng Wang, Andy J. Ma

Attention-Based Transformation from Latent Features to Point Clouds

Kaiyi Zhang, Ximing Yang, Yuan Wu, Cheng Jin

Energy-Based Generative Cooperative Saliency Prediction

Jing Zhang, Jianwen Xie, Zilong Zheng, Nick Barnes

SCSNet: An Efficient Paradigm for Learning Simultaneously Image Colorization and Super-resolution

Jiangning Zhang, Chao Xu, Jian Li, Yue Han, Yabiao Wang

Show Your Faith: Cross-Modal Confidence-Aware Network for Image-Text Matching

Huatian Zhang, Zhendong Mao, Kun Zhang, Yongdong Zhang

Semi-supervised Object Detection with Adaptive Class-Rebalancing Self-Training

Fangyuan Zhang, Tianxiang Pan, Bin Wang

Patch Diffusion: A General Module for Face Manipulation Detection

Baogen Zhang, Sheng Li, Guorui Feng, Zhenxing Qian, Xinpeng Zhang

Homography Decomposition Networks for Planar Object Tracking

Xinrui Zhan, Yueran Liu, Jianke Zhu, Yang Li

Improving 360 Monocular Depth Estimation via Non-local Dense Prediction Transformer and Joint Supervised and Self-Supervised Learning

Ilwi Yun, Hyuk-Jae Lee, Chae Eun Rhee

Task-Level Self-Supervision for Cross-Domain Few-Shot Learning

Wang Yuan, Zhizhong Zhang, Cong Wang, Haichuan Song, Yuan Xie

Detecting Human-Object Interactions with Object-Guided Cross-Modal Calibrated Semantics

Hangjie Yuan, Mang Wang, Dong Ni, Liangpeng Xu

MSML: Enhancing Occlusion-Robustness by Multi-Scale Segmentation-Based Mask Learning for Face Recognition

Ge Yuan, Huicheng Zheng, Jiayu Dong

SOIT: Segmenting Objects with Instance-Aware Transformers

Xiaodong Yu, Dahu Shi, Xing Wei, Ye Ren, Tingqun Ye

Hybrid Graph Neural Networks for Few-Shot Learning

Tianyuan Yu, Sen He, Yi-Zhe Song, Tao Xiang

Efficient Compact Bilinear Pooling via Kronecker Product

Tan Yu, Yunfeng Cai, Ping Li

Self-Labeling Framework for Novel Category Discovery over Domains

Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa

Anisotropic Fourier Features for Neural Image-Based Rendering and Relighting

Huangjie Yu, Anpei Chen, Xin Chen, Lan Xu, Ziyu Shao

Width & Depth Pruning for Vision Transformers

Fang Yu, Kun Huang, Meng Wang, Yuan Cheng, Wei Chu

Content-Variant Reference Image Quality Assessment via Knowledge Distillation

Guanghao Yin, Wei Wang, Zehuan Yuan, Chuchu Han, Wei Ji

Joint Deep Multi-Graph Matching and 3D Geometry Learning from Inhomogeneous 2D Image Collections

Zhenzhang Ye, Tarun Yenamandra, Florian Bernard, Daniel Cremers

Safe Distillation Box

Jingwen Ye, Yining Mao, Jie Song, Xinchao Wang, Cheng Jin

Image Difference Captioning with Pre-training and Contrastive Learning

Linli Yao, Weiying Wang, Qin Jin

Enhancing Pseudo Label Quality for Semi-supervised Domain-Generalized Medical Image Segmentation

Huifeng Yao, Xiaowei Hu, Xiaomeng Li

ACGNet: Action Complement Graph Network for Weakly-Supervised Temporal Action Localization

Zichen Yang, Jie Qin, Di Huang

An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQA

Zhengyuan Yang, Zhe Gan, Jianfeng Wang, Xiaowei Hu, Yumao Lu

Polygon-to-Polygon Distance Loss for Rotated Object Detection

Yang Yang, Jifeng Chen, Xiaopin Zhong, Yuanlong Deng

Cross-Modal Federated Human Activity Recognition via Modality-Agnostic and Modality-Specific Representation Learning

Xiaoshan Yang, Baochen Xiong, Yi Huang, Changsheng Xu

Temporal Action Proposal Generation with Background Constraint

Haosen Yang, Wenhao Wu, Lining Wang, Sheng Jin, Boyang Xia

Mutual Contrastive Learning for Visual Representation Learning

Chuanguang Yang, Zhulin An, Linhang Cai, Yongjun Xu

Cross-Modal Mutual Learning for Audio-Visual Speech Recognition and Manipulation

Chih-Chun Yang, Wan-Cyuan Fan, Cheng-Fu Yang, Yu-Chiang Frank Wang

Exploring Visual Context for Weakly Supervised Person Search

Yichao Yan, Jinpeng Li, Shengcai Liao, Jie Qin, Bingbing Ni

Cross-Species 3D Face Morphing via Alignment-Aware Controller

Xirui Yan, Zhenbo Yu, Bingbing Ni, Hang Wang

Transmission-Guided Bayesian Generative Model for Smoke Segmentation

Siyuan Yan, Jing Zhang, Nick Barnes

Unsupervised Domain Adaptive Salient Object Detection through Uncertainty-Aware Pseudo-Label Learning

Pengxiang Yan, Ziyi Wu, Mengmeng Liu, Kun Zeng, Liang Lin

Inferring Prototypes for Multi-Label Few-Shot Image Classification with Word Vector Guided Attention

Kun Yan, Chenbin Zhang, Jun Hou, Ping Wang, Zied Bouraoui

Clinical-BERT: Vision-Language Pre-training for Radiograph Diagnosis and Reports Generation

Bin Yan, Mingtao Pei

MobileFaceSwap: A Lightweight Framework for Video Face Swapping

Zhiliang Xu, Zhibin Hong, Changxing Ding, Zhen Zhu, Junyu Han

Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer

Yifan Xu, Zhijie Zhang, Mengdan Zhang, Kekai Sheng, Ke Li

Adaptive Hypergraph Neural Network for Multi-Person Pose Estimation

Xixia Xu, Qi Zou, Xue Lin

Reliable Propagation-Correction Modulation for Video Object Segmentation

Xiaohao Xu, Jinglu Wang, Xiao Li, Yan Lu

Hierarchical Image Generation via Transformer-Based Sequential Patch Selection

Xiaogang Xu, Ning Xu

Towards Fully Sparse Training: Information Restoration with Spatial Similarity

Weixiang Xu, Xiangyu He, Ke Cheng, Peisong Wang, Jian Cheng

Sparse Cross-Scale Attention Network for Efficient LiDAR Panoptic Segmentation

Shuangjie Xu, Rui Wan, Maosheng Ye, Xiaoyi Zou, Tongyi Cao