AAAI 2019

1,341 papers

Few-Shot Image and Sentence Matching via Gated Visual-Semantic Embedding

Yan Huang, Yang Long, Liang Wang

3D Volumetric Modeling with Introspective Neural Networks

Wenlong Huang, Brian Lai, Weijian Xu, Zhuowen Tu

A Framework to Coordinate Segmentation and Recognition

Wei Huang, Huimin Yu, Weiwei Zheng, Jing Zhang

Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story Generation

Qiuyuan Huang, Zhe Gan, Asli Celikyilmaz, Dapeng Wu, Jianfeng Wang

Re2EMA: Regularized and Reinitialized Exponential Moving Average for Target Model Update in Object Tracking

Jianglei Huang, Wengang Zhou

A Novel Framework for Robustness Analysis of Visual QA Models

Jia-Hong Huang, Cuong Duc Dao, Modar Alfadly, Bernard Ghanem

Attention-Based Multi-Context Guiding for Few-Shot Semantic Segmentation

Tao Hu, Pengwan Yang, Chiliang Zhang, Gang Yu, Yadong Mu

Learning to Steer by Mimicking Features from Heterogeneous Auxiliary Networks

Yuenan Hou, Zheng Ma, Chunxiao Liu, Chen Change Loy

Weighted Channel Dropout for Regularization of Deep Convolutional Neural Network

Saihui Hou, Zilei Wang

Non-Local Context Encoder: Robust Biomedical Image Segmentation against Adversarial Attacks

Xiang He, Sibei Yang, Guanbin Li, Haofeng Li, Huiyou Chang

Mono3D++: Monocular 3D Vehicle Detection with Two-Scale 3D Hypotheses and Task Priors

Tong He, Stefano Soatto

StNet: Local and Global Spatial-Temporal Modeling for Action Recognition

Dongliang He, Zhichao Zhou, Chuang Gan, Fu Li, Xiao Liu

Read, Watch, and Move: Reinforcement Learning for Temporally Grounding Natural Language Descriptions in Videos

Dongliang He, Xiang Zhao, Jizhou Huang, Fu Li, Xiao Liu

HSME: Hypersphere Manifold Embedding for Visible Thermal Person Re-Identification

Yi Hao, Nannan Wang, Jie Li, Xinbo Gao

View Inter-Prediction GAN: Unsupervised Representation Learning for 3D Shapes by Learning Global Shape Memories to Support Local View Predictions

Zhizhong Han, Mingyang Shang, Yu-Shen Liu, Matthias Zwicker

Depthwise Convolution Is All You Need for Learning Multiple Visual Domains

Yunhui Guo, Yandong Li, Liqiang Wang, Tajana Rosing

Dual-View Ranking with Hardness Assessment for Zero-Shot Learning

Yuchen Guo, guiguang ding, Jungong Han, Xiaohan Ding, Sicheng Zhao

Human Action Transfer Based on 3D Model Reconstruction

Shanyan Guan, Shuo Wen, Dexin Yang, Bingbing Ni, Wendong Zhang

Projection Convolutional Neural Networks for 1-bit CNNs via Discrete Back Propagation

Jiaxin Gu, Ce Li, Baochang Zhang, Jungong Han, Xianbin Cao

No-Reference Image Quality Assessment with Reinforcement Recursive List-Wise Ranking

Jie Gu, GAOFENG MENG, Cheng Da, SHIMING XIANG, Chunhong Pan

Video Imprint Segmentation for Temporal Action Detection in Untrimmed Videos

Zhanning Gao, Le Wang, Qilin Zhang, Zhenxing Niu, Nanning Zheng

Deliberate Attention Networks for Image Captioning

Lianli Gao, Kaixuan Fan, Jingkuan Song, Xianglong Liu, Xing Xu

Perceptual Pyramid Adversarial Networks for Text-to-Image Synthesis

Lianli Gao, Daiyuan Chen, Jingkuan Song, Xing Xu, Dongxiang Zhang

I Know the Relationships: Zero-Shot Action Recognition via Two-Stream Graph Convolutional Networks and Knowledge Graphs

Junyu Gao, Tianzhu Zhang, Changsheng Xu

Horizontal Pyramid Matching for Person Re-Identification

Yang Fu, Yunchao Wei, Yuqian Zhou, Honghui Shi, Gao Huang

STA: Spatial-Temporal Attention for Large-Scale Video-Based Person Re-Identification

Yang Fu, Xiaoyang Wang, Yunchao Wei, Thomas Huang

MeshNet: Mesh Neural Network for 3D Shape Representation

Yutong Feng, Yifan Feng, Haoxuan You, Xibin Zhao, Yue Gao

Fully Convolutional Video Captioning with Coarse-to-Fine and Inherited Attention

Kuncheng Fang, Lian Zhou, Cheng Jin, Yuejie Zhang, Kangnian Weng

Cubic LSTMs for Video Prediction

Hehe Fan, Linchao Zhu, Yi Yang

Learning a Deep Convolutional Network for Colorization in Monochrome-Color Dual-Lens System

Xuan Dong, Weixin Li, Xiaojie Wang, Yunhong Wang

Attention-Aware Sampling via Deep Reinforcement Learning for Action Recognition

Wenkai Dong, Zhaoxiang Zhang, Tieniu Tan

Residual Compensation Networks for Heterogeneous Face Recognition

Zhongying Deng, Xiaojiang Peng, Yu Qiao

Selective Refinement Network for High Performance Face Detection

Cheng Chi, Shifeng Zhang, Junliang Xing, Zhen Lei, Stan Z. Li

Data Fine-Tuning

Saheb Chhabra, Puspita Majumdar, Mayank Vatsa, Richa Singh

Learning Resolution-Invariant Deep Representations for Person Re-Identification

Yun-Chun Chen, Yu-Jhe Li, Xiaofei Du, Yu-Chiang Frank Wang

Unsupervised Bilingual Lexicon Induction from Mono-Lingual Multimodal Data

Shizhe Chen, Qin Jin, Alexander Hauptmann

Semantic Proposal for Activity Localization in Videos via Sentence Query

Shaoxiang Chen, Yu-Gang Jiang

Motion Guided Spatial Attention for Video Captioning

Shaoxiang Chen, Yu-Gang Jiang

Junjie Chen, William K. Cheung

Localizing Natural Language in Videos

Jingyuan Chen, Lin Ma, Xinpeng Chen, Zequn Jie, Jiebo Luo

Temporal Deformable Convolutional Encoder-Decoder Networks for Video Captioning

Jingwen Chen, Yingwei Pan, Yehao Li, Ting Yao, Hongyang Chao

Unsupervised Meta-Learning of Figure-Ground Segmentation via Imitating Visual Effects

Ding-Jie Chen, Jui-Ting Chien, Hwann-Tzong Chen, Tyng-luh Liu

Unsupervised Stylish Image Description Generation via Domain Layer Norm

Cheng-Kuan Chen, Zhufeng Pan, Ming-Yu Liu, Min Sun

Improving Image Captioning with Conditional Generative Adversarial Nets

Chen Chen, Shuai Mu, Wanpeng Xiao, Zexiong Ye, Liesi Wu

Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering

Binghui Chen, Weihong Deng

GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition

Hanqing Chao, Yiwei He, Junping Zhang, Jianfeng Feng

Action Knowledge Transfer for Action Prediction with Partial Videos

Yijun Cai, Haoxin Li, Jian-Fang Hu, Wei-Shi Zheng

MR-NET: Exploiting Mutual Relation for Visual Relationship Detection

Yi Bin, Yang Yang, Chaofan Tao, Zi Huang, Jingjing Li

BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection

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

Object Detection Based on Region Decomposition and Assembly

Seung-Hwan Bae

Densely Supervised Grasp Detector (DSGD)

Umar Asif, Jianbin Tang, Stefan Harrer

TallyQA: Answering Complex Counting Questions

Manoj Acharya, Kushal Kafle, Christopher Kanan

Probabilistic Model Checking of Robots Deployed in Extreme Environments

Xingyu Zhao, Valentin Robu, David Flynn, Fateme Dinmohammadi, Michael Fisher

That’s Mine! Learning Ownership Relations and Norms for Robots

Zhi-Xuan Tan, Jake Brawer, Brian Scassellati

Personalized Robot Tutoring Using the Assistive Tutor POMDP (AT-POMDP)

Aditi Ramachandran, Sarah Strohkorb Sebo, Brian Scassellati

Deictic Image Mapping: An Abstraction for Learning Pose Invariant Manipulation Policies

Robert Platt, Colin Kohler, Marcus Gualtieri

Visual Place Recognition via Robust ℓ2-Norm Distance Based Holism and Landmark Integration

Kai Liu, Hua Wang, Fei Han, Hao Zhang

Mirroring without Overimitation: Learning Functionally Equivalent Manipulation Actions

Hangxin Liu, Chi Zhang, Yixin Zhu, Chenfanfu Jiang, Song-chun Zhu

Adversarial Actor-Critic Method for Task and Motion Planning Problems Using Planning Experience

Beomjoon Kim, Leslie Pack Kaelbling, Tomás Lozano-Pérez

MotionTransformer: Transferring Neural Inertial Tracking between Domains

Changhao Chen, Yishu Miao, Chris Xiaoxuan Lu, Linhai Xie, Phil Blunsom

Depth Prediction without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos

Vincent Casser, Soeren Pirk, Reza Mahjourian, Anelia Angelova

Optimizing Discount and Reputation Trade-Offs in E-Commerce Systems: Characterization and Online Learning

Hong Xie, Yongkun Li, John C. S. Lui

Counting and Sampling Markov Equivalent Directed Acyclic Graphs

Topi Talvitie, Mikko Koivisto

Lifted Hinge-Loss Markov Random Fields

Sriram Srinivasan, Behrouz Babaki, Golnoosh Farnadi, Lise Getoor

Compiling Bayesian Network Classifiers into Decision Graphs

Andy Shih, Arthur Choi, Adnan Darwiche

Structured Bayesian Networks: From Inference to Learning with Routes

Yujia Shen, Anchal Goyanka, Adnan Darwiche, Arthur Choi

Rethinking the Discount Factor in Reinforcement Learning: A Decision Theoretic Approach

Silviu Pitis

Memory Bounded Open-Loop Planning in Large POMDPs Using Thompson Sampling

Thomy Phan, Lenz Belzner, Marie Kiermeier, Markus Friedrich, Kyrill Schmid

Semi-Parametric Sampling for Stochastic Bandits with Many Arms

Mingdong Ou, Nan Li, Cheng Yang, Shenghuo Zhu, Rong Jin

Anytime Recursive Best-First Search for Bounding Marginal MAP

Radu Marinescu, Akihiro Kishimoto, Adi Botea, Rina Dechter, Alexander Ihler

On Lifted Inference Using Neural Embeddings

Mohammad Maminur Islam, Somdeb Sarkhel, Deepak Venugopal

Robust Ordinal Embedding from Contaminated Relative Comparisons

Ke Ma, Qianqian Xu, Xiaochun Cao

Interleave Variational Optimization with Monte Carlo Sampling: A Tale of Two Approximate Inference Paradigms

Qi Lou, Rina Dechter, Alexander Ihler

Finding All Bayesian Network Structures within a Factor of Optimal

Zhenyu A. Liao, Charupriya Sharma, James Cussens, Peter van Beek

Dirichlet Multinomial Mixture with Variational Manifold Regularization: Topic Modeling over Short Texts

Ximing Li, Jiaojiao Zhang, Jihong Ouyang

Randomized Strategies for Robust Combinatorial Optimization

Yasushi Kawase, Hanna Sumita

Polynomial-Time Probabilistic Reasoning with Partial Observations via Implicit Learning in Probability Logics

Brendan Juba

MFBO-SSM: Multi-Fidelity Bayesian Optimization for Fast Inference in State-Space Models

Mahdi Imani, Seyede Fatemeh Ghoreishi, Douglas Allaire, Ulisses M. Braga-Neto

Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems

Trong Nghia Hoang, Quang Minh Hoang, Kian Hsiang Low, Jonathan How

A Generative Model for Dynamic Networks with Applications

Shubham Gupta, Gaurav Sharma, Ambedkar Dukkipati

Marginal Inference in Continuous Markov Random Fields Using Mixtures

Yuanzhen Guo, Hao Xiong, Nicholas Ruozzi

Exact and Approximate Weighted Model Integration with Probability Density Functions Using Knowledge Compilation

Pedro Zuidberg Dos Martires, Anton Dries, Luc De Raedt

Fast Relational Probabilistic Inference and Learning: Approximate Counting via Hypergraphs

Mayukh Das, Devendra Singh Dhami, Gautam Kunapuli, Kristian Kersting, Sriraam Natarajan

Efficient Optimal Approximation of Discrete Random Variables for Estimation of Probabilities of Missing Deadlines

Liat Cohen, Gera Weiss

Path-Specific Counterfactual Fairness

Silvia Chiappa

Learning Diverse Bayesian Networks

Cong Chen, Changhe Yuan

On the Hardness of Probabilistic Inference Relaxations

Supratik Chakraborty, Kuldeep S. Meel, Moshe Y. Vardi

On Testing of Uniform Samplers

Sourav Chakraborty, Kuldeep S. Meel

Probabilistic Logic Programming with Beta-Distributed Random Variables

Federico Cerutti, Lance Kaplan, Angelika Kimmig, Murat Sensoy

Robustness Guarantees for Bayesian Inference with Gaussian Processes

Luca Cardelli, Marta Kwiatkowska, Luca Laurenti, Andrea Patane

Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications

Daniel S. Brown, Scott Niekum

Active Preference Learning Based on Generalized Gini Functions: Application to the Multiagent Knapsack Problem

Nadjet Bourdache, Patrice Perny

Online Multi-Agent Pathfinding

Jiří Švancara, Marek Vlk, Roni Stern, Dor Atzmon, Roman Barták

Rotational Diversity in Multi-Cycle Assignment Problems

Helge Spieker, Arnaud Gotlieb, Morten Mossige

Deep Learning for Cost-Optimal Planning: Task-Dependent Planner Selection

Silvan Sievers, Michael Katz, Shirin Sohrabi, Horst Samulowitz, Patrick Ferber

An Innovative Genetic Algorithm for the Quantum Circuit Compilation Problem

Riccardo Rasconi, Angelo Oddi

Distribution-Based Semi-Supervised Learning for Activity Recognition

Hangwei Qian, Sinno Jialin Pan, Chunyan Miao

Acting and Planning Using Operational Models

Sunandita Patra, Malik Ghallab, Dana Nau, Paolo Traverso

Automated Verification of Social Laws for Continuous Time Multi-Robot Systems

Ronen Nir, Erez Karpas

Temporal Planning with Temporal Metric Trajectory Constraints

Andrea Micheli, Enrico Scala