Yezhou Yang

According to our database, Yezhou Yang authored at least 136 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model's Generalizability in Permafrost Mapping.

Wenwen Li, Chia-Yu Hsu, Sizhe Wang, Yezhou Yang, Hyunho Lee, Anna Liljedahl, Chandi Witharana, Yili Yang, Brendan M. Rogers, Samantha T. Arundel, Matthew B. Jones, Kenton McHenry, Patricia Solís

Remote. Sens., March, 2024

Formalizing and evaluating requirements of perception systems for automated vehicles using spatio-temporal perception logic.

Mohammad Hekmatnejad, Bardh Hoxha, Jyotirmoy V. Deshmukh, Yezhou Yang, Georgios Fainekos

Int. J. Robotics Res., February, 2024

eTraM: Event-based Traffic Monitoring Dataset.

Aayush Atul Verma, Bharatesh Chakravarthi, Arpitsinh Vaghela, Hua Wei, Yezhou Yang

CoRR, 2024

Learning Decomposable and Debiased Representations via Attribute-Centric Information Bottlenecks.

Jinyung Hong, Eun Som Jeon, Changhoon Kim, Keun Hee Park, Utkarsh Nath, Yezhou Yang, Pavan K. Turaga, Theodore P. Pavlic

CoRR, 2024

Lost in Translation? Translation Errors and Challenges for Fair Assessment of Text-to-Image Models on Multilingual Concepts.

Michael Saxon, Yiran Luo, Sharon Levy, Chitta Baral, Yezhou Yang, William Yang Wang

CoRR, 2024

λ-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion Models by Leveraging CLIP Latent Space.

Maitreya Patel, Sangmin Jung, Chitta Baral, Yezhou Yang

CoRR, 2024

Open-TI: Open Traffic Intelligence with Augmented Language Model.

Longchao Da, Kuanru Liou, Tiejin Chen, Xuesong Zhou, Xiangyong Luo, Yezhou Yang, Hua Wei

CoRR, 2024

Towards Addressing the Misalignment of Object Proposal Evaluation for Vision-Language Tasks via Semantic Grounding.

Joshua Feinglass, Yezhou Yang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models.

Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

ECLIPSE: A Resource-Efficient Text-to-Image Prior for Image Generations.

Maitreya Patel, Changhoon Kim, Sheng Cheng, Chitta Baral, Yezhou Yang

CoRR, 2023

WOUAF: Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffusion Models.

Changhoon Kim, Kyle Min, Maitreya Patel, Sheng Cheng, Yezhou Yang

CoRR, 2023

Mole Recruitment: Poisoning of Image Classifiers via Selective Batch Sampling.

Ethan Wisdom, Tejas Gokhale, Chaowei Xiao, Yezhou Yang

CoRR, 2023

Improving Diversity with Adversarially Learned Transformations for Domain Generalization.

Tejas Gokhale, Rushil Anirudh, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Chitta Baral, Yezhou Yang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

SKoPe3D: A Synthetic Dataset for Vehicle Keypoint Perception in 3D from Traffic Monitoring Cameras.

Himanshu Pahadia, Duo Lu, Bharatesh Chakravarthi, Yezhou Yang

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

CAROM Air - Vehicle Localization and Traffic Scene Reconstruction from Aerial Videos.

Duo Lu, Eric Eaton, Matt Weg, Wei Wang, Steven Como, Jeffrey Wishart, Hongbin Yu, Yezhou Yang

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Attributing Image Generative Models using Latent Fingerprints.

Guangyu Nie, Changhoon Kim, Yezhou Yang, Yi Ren

Proceedings of the International Conference on Machine Learning, 2023

Adversarial Bayesian Augmentation for Single-Source Domain Generalization.

Sheng Cheng, Tejas Gokhale, Yezhou Yang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

End-to-end Knowledge Retrieval with Multi-modal Queries.

Man Luo, Zhiyuan Fang, Tejas Gokhale, Yezhou Yang, Chitta Baral

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

A Coulomb Force Inspired Loss Function for High-Performance Pedestrian Detection.

Zhe Wang, Jun Wang, Yezhou Yang, Junliang Xing

IEEE Signal Process. Lett., 2022

Benchmarking Spatial Relationships in Text-to-Image Generation.

Tejas Gokhale, Hamid Palangi, Besmira Nushi, Vibhav Vineet, Eric Horvitz, Ece Kamar, Chitta Baral, Yezhou Yang

CoRR, 2022

Learning Action-Effect Dynamics from Pairs of Scene-graphs.

Shailaja Keyur Sampat, Pratyay Banerjee, Yezhou Yang, Chitta Baral

CoRR, 2022

Reasoning about Actions over Visual and Linguistic Modalities: A Survey.

Shailaja Keyur Sampat, Maitreya Patel, Subhasish Das, Yezhou Yang, Chitta Baral

CoRR, 2022

Targeted Attack on Deep RL-based Autonomous Driving with Learned Visual Patterns.

Prasanth Buddareddygari, Travis Zhang, Yezhou Yang, Yi Ren

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

CAVAN: Commonsense Knowledge Anchored Video Captioning.

Huiliang Shao, Zhiyuan Fang, Yezhou Yang

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Attributable Watermarking of Speech Generative Models.

Yongbaek Cho, Changhoon Kim, Yezhou Yang, Yi Ren

Proceedings of the IEEE International Conference on Acoustics, 2022

Learning Action-Effect Dynamics for Hypothetical Vision-Language Reasoning Task.

Shailaja Keyur Sampat, Pratyay Banerjee, Yezhou Yang, Chitta Baral

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering.

Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Injecting Semantic Concepts into End-to-End Image Captioning.

Zhiyuan Fang, Jianfeng Wang, Xiaowei Hu, Lin Liang, Zhe Gan, Lijuan Wang, Yezhou Yang, Zicheng Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

SSR-GNNs: Stroke-based Sketch Representation with Graph Neural Networks.

Sheng Cheng, Yi Ren, Yezhou Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Tragedy Plus Time: Capturing Unintended Human Activities from Weakly-labeled Videos.

Arnav Chakravarthy, Zhiyuan Fang, Yezhou Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Good, Better, Best: Textual Distractors Generation for Multiple-Choice Visual Question Answering via Reinforcement Learning.

Jiaying Lu, Xin Ye, Yi Ren, Yezhou Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

To Find Waldo You Need Contextual Cues: Debiasing Who's Waldo.

Yiran Luo, Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

Semantically Distributed Robust Optimization for Vision-and-Language Inference.

Tejas Gokhale, Abhishek Chaudhary, Pratyay Banerjee, Chitta Baral, Yezhou Yang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Efficient Robotic Object Search Via HIEM: Hierarchical Policy Learning With Intrinsic-Extrinsic Modeling.

Xin Ye, Yezhou Yang

IEEE Robotics Autom. Lett., 2021

CLEVR_HYP: A Challenge Dataset and Baselines for Visual Question Answering with Hypothetical Actions over Images.

Shailaja Keyur Sampat, Akshay Kumar, Yezhou Yang, Chitta Baral

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

CAROM - Vehicle Localization and Traffic Scene Reconstruction from Monocular Cameras on Road Infrastructures.

Duo Lu, Varun C. Jammula, Steven Como, Jeffrey Wishart, Yan Chen, Yezhou Yang

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Decentralized Attribution of Generative Models.

Changhoon Kim, Yi Ren, Yezhou Yang

Proceedings of the 9th International Conference on Learning Representations, 2021

SEED: Self-supervised Distillation For Visual Representation.

Zhiyuan Fang, Jianfeng Wang, Lijuan Wang, Lei Zhang, Yezhou Yang, Zicheng Liu

Proceedings of the 9th International Conference on Learning Representations, 2021

Compressing Visual-linguistic Model via Knowledge Distillation.

Zhiyuan Fang, Jianfeng Wang, Xiaowei Hu, Lijuan Wang, Yezhou Yang, Zicheng Liu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Weakly Supervised Relative Spatial Reasoning for Visual Question Answering.

Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Hierarchical and Partially Observable Goal-Driven Policy Learning With Goals Relational Graph.

Xin Ye, Yezhou Yang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

First Workshop on Knowledge Injection in Neural Networks (KINN).

Vasudev Lal, Somak Aditya, Yezhou Yang, Pasquale Minervini, Sandya Mannarswamy

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

SMURF: SeMantic and linguistic UndeRstanding Fusion for Caption Evaluation via Typicality Analysis.

Joshua Feinglass, Yezhou Yang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

WeaQA: Weak Supervision via Captions for Visual Question Answering.

Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Attribute-Guided Adversarial Training for Robustness to Natural Perturbations.

Tejas Gokhale, Rushil Anirudh, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Chitta Baral, Yezhou Yang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Neural Style Transfer: A Review.

Yongcheng Jing, Yezhou Yang, Zunlei Feng, Jingwen Ye, Yizhou Yu, Mingli Song

IEEE Trans. Vis. Comput. Graph., 2020

Low to High Dimensional Modality Hallucination Using Aggregated Fields of View.

Kausic Gunasekar, Qiang Qiu, Yezhou Yang

IEEE Robotics Autom. Lett., 2020

Fine-grained visual understanding and reasoning.

Jun Yu, Yezhou Yang, Fionn Murtagh, Xinbo Gao

Neurocomputing, 2020

Self-Supervised VQA: Answering Visual Questions using Images and Captions.

Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral

CoRR, 2020

Weak Supervision and Referring Attention for Temporal-Textual Association Learning.

Zhiyuan Fang, Shu Kong, Zhe Wang, Charless C. Fowlkes, Yezhou Yang

CoRR, 2020

Resisting the Distracting-factors in Pedestrian Detection.

Zhe Wang, Jun Wang, Yezhou Yang

CoRR, 2020

Diverse Visuo-Lingustic Question Answering (DVLQA) Challenge.

Shailaja Sampat, Yezhou Yang, Chitta Baral

CoRR, 2020

memeBot: Towards Automatic Image Meme Generation.

Aadhavan Sadasivam, Kausic Gunasekar, Hasan Davulcu, Yezhou Yang

CoRR, 2020

Enabling Incremental Knowledge Transfer for Object Detection at the Edge.

Mohammad Farhadi Bajestani, Mehdi Ghasemi, Sarma B. K. Vrudhula, Yezhou Yang

CoRR, 2020

From Seeing to Moving: A Survey on Learning for Visual Indoor Navigation (VIN).

Xin Ye, Yezhou Yang

CoRR, 2020

TKD: Temporal Knowledge Distillation for Active Perception.

Mohammad Farhadi, Yezhou Yang

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Learning hierarchical behavior and motion planning for autonomous driving.

Jingke Wang, Yue Wang, Dongkun Zhang, Yezhou Yang, Rong Xiong

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Visuo-Lingustic Question Answering (VLQA) Challenge.

Shailaja Keyur Sampat, Yezhou Yang, Chitta Baral

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering.

Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning.

Zhiyuan Fang, Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

ViTAA: Visual-Textual Attributes Alignment in Person Search by Natural Language.

Zhe Wang, Zhiyuan Fang, Jun Wang, Yezhou Yang

Proceedings of the Computer Vision - ECCV 2020, 2020

VQA-LOL: Visual Question Answering Under the Lens of Logic.

Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang

Proceedings of the Computer Vision - ECCV 2020, 2020

Enabling Incremental Knowledge Transfer for Object Detection at the Edge.

Mohammad Farhadi, Mehdi Ghasemi, Sarma B. K. Vrudhula, Yezhou Yang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Interpretable Partitioned Embedding for Intelligent Multi-item Fashion Outfit Composition.

Zunlei Feng, Zhenyun Yu, Yongcheng Jing, Sai Wu, Mingli Song, Yezhou Yang, Junxiao Jiang

ACM Trans. Multim. Comput. Commun. Appl., 2019

Robot learning of manipulation activities with overall planning through precedence graph.

Xin Ye, Zhe L. Lin, Yezhou Yang

Robotics Auton. Syst., 2019

A survey on semantic-based methods for the understanding of human movements.

Karinne Ramirez-Amaro, Yezhou Yang, Gordon Cheng

Robotics Auton. Syst., 2019

GAPLE: Generalizable Approaching Policy LEarning for Robotic Object Searching in Indoor Environment.

Xin Ye, Zhe Lin, Joon-Young Lee, Jianming Zhang, Shibin Zheng, Yezhou Yang

IEEE Robotics Autom. Lett., 2019

Good, Better, Best: Textual Distractors Generation for Multi-Choice VQA via Policy Gradient.

Jiaying Lu, Xin Ye, Yi Ren, Yezhou Yang

CoRR, 2019

Blocksworld Revisited: Learning and Reasoning to Generate Event-Sequences from Image Pairs.

Tejas Gokhale, Shailaja Sampat, Zhiyuan Fang, Yezhou Yang, Chitta Baral

CoRR, 2019

Fluorescence Image Histology Pattern Transformation using Image Style Transfer.

Mohammadhassan Izadyyazdanabadi, Evgenii Belykh, Xiaochun Zhao, Leandro Borba Moreira, Sirin Gandhi, Claudio Cavallo, Jennifer Eschbacher, Peter Nakaji, Mark C. Preul, Yezhou Yang

CoRR, 2019

Active Adversarial Evader Tracking with a Probabilistic Pursuer under the Pursuit-Evasion Game Framework.

Varun Chandra Jammula, Anshul Rai, Yezhou Yang

CoRR, 2019

Improving Model Robustness with Transformation-Invariant Attacks.

Houpu Yao, Zhe Wang, Guangyu Nie, Yassine Mazboudi, Yezhou Yang, Yi Ren

CoRR, 2019

Spatial Knowledge Distillation to Aid Visual Reasoning.

Somak Aditya, Rudra Saha, Yezhou Yang, Chitta Baral

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Integrating Knowledge and Reasoning in Image Understanding.

Somak Aditya, Yezhou Yang, Chitta Baral

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

How Shall I Drive? Interaction Modeling and Motion Planning towards Empathetic and Socially-Graceful Driving.

Yi Ren, Steven Elliott, Yiwei Wang, Yezhou Yang, Wenlong Zhang

Proceedings of the International Conference on Robotics and Automation, 2019

Image Decomposition and Classification Through a Generative Model.

Houpu Yao, Malcolm Regan, Yezhou Yang, Yi Ren

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

A Novel Design of Adaptive and Hierarchical Convolutional Neural Networks using Partial Reconfiguration on FPGA.

Mohammad Farhadi, Mehdi Ghasemi, Yezhou Yang

Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

Cooking With Blocks : A Recipe for Visual Reasoning on Image-Pairs.

Tejas Gokhale, Shailaja Sampat, Zhiyuan Fang, Yezhou Yang, Chitta Baral

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

Modularized Textual Grounding for Counterfactual Resilience.

Zhiyuan Fang, Shu Kong, Charless C. Fowlkes, Yezhou Yang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Convolutional neural networks: Ensemble modeling, fine-tuning and unsupervised semantic localization for neurosurgical CLE images.

Mohammadhassan Izadyyazdanabadi, Evgenii Belykh, Michael Mooney, Nikolay Martirosyan, Jennifer Eschbacher, Peter Nakaji, Mark C. Preul, Yezhou Yang

J. Vis. Commun. Image Represent., 2018

Prediction of Manipulation Actions.

Cornelia Fermüller, Fang Wang, Yezhou Yang, Konstantinos Zampogiannis, Yi Zhang, Francisco Barranco, Michael Pfeiffer

Int. J. Comput. Vis., 2018

Image Understanding using vision and reasoning through Scene Description Graph.

Somak Aditya, Yezhou Yang, Chitta Baral, Yiannis Aloimonos, Cornelia Fermüller

Comput. Vis. Image Underst., 2018

Interpretable Partitioned Embedding for Customized Fashion Outfit Composition.

Zunlei Feng, Zhenyun Yu, Yezhou Yang, Yongcheng Jing, Junxiao Jiang, Mingli Song

CoRR, 2018

Weakly Supervised Attention Learning for Textual Phrases Grounding.

Zhiyuan Fang, Shu Kong, Tianshu Yu, Yezhou Yang

CoRR, 2018

Prospects for Theranostics in Neurosurgical Technology: Empowering Confocal Laser Endomicroscopy Diagnostics via Deep Learning.

Mohammadhassan Izadyyazdanabadi, Evgenii Belykh, Michael Mooney, Jennifer Eschbacher, Peter Nakaji, Yezhou Yang, Mark C. Preul

CoRR, 2018

Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields.

Yongcheng Jing, Yang Liu, Yezhou Yang, Zunlei Feng, Yizhou Yu, Mingli Song

CoRR, 2018

DeepSIC: Deep Semantic Image Compression.

Sihui Luo, Yezhou Yang, Mingli Song

CoRR, 2018

Combining Knowledge and Reasoning through Probabilistic Soft Logic for Image Puzzle Solving.

Somak Aditya, Yezhou Yang, Chitta Baral, Yiannis Aloimonos

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Interpretable Partitioned Embedding for Customized Multi-item Fashion Outfit Composition.

Zunlei Feng, Zhenyun Yu, Yezhou Yang, Yongcheng Jing, Junxiao Jiang, Mingli Song

Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

Weakly-Supervised Learning-Based Feature Localization for Confocal Laser Endomicroscopy Glioma Images.

Mohammadhassan Izadyyazdanabadi, Evgenii Belykh, Claudio Cavallo, Xiaochun Zhao, Sirin Gandhi, Leandro Borba Moreira, Jennifer Eschbacher, Peter Nakaji, Mark C. Preul, Yezhou Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Active Object Perceiver: Recognition-Guided Policy Learning for Object Searching on Mobile Robots.

Xin Ye, Zhe Lin, Haoxiang Li, Shibin Zheng, Yezhou Yang

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Extrinsic Dexterity Through Active Slip Control Using Deep Predictive Models.

Simon Stepputtis, Yezhou Yang, Heni Ben Amor

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

DeepSIC: Deep Semantic Image Compression.

Sihui Luo, Yezhou Yang, Yanling Yin, Chengchao Shen, Ya Zhao, Mingli Song

Proceedings of the Neural Information Processing - 25th International Conference, 2018

DeepSSH: Deep Semantic Structured Hashing for Explainable Person Re-Identification.

Ya Zhao, Sihui Luo, Yezhou Yang, Mingli Song

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields.

Yongcheng Jing, Yang Liu, Yezhou Yang, Zunlei Feng, Yizhou Yu, Dacheng Tao, Mingli Song

Proceedings of the Computer Vision - ECCV 2018, 2018

Transductive Unbiased Embedding for Zero-Shot Learning.

Jie Song, Chengchao Shen, Yezhou Yang, Yang Liu, Mingli Song

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Explicit Reasoning over End-to-End Neural Architectures for Visual Question Answering.

Somak Aditya, Yezhou Yang, Chitta Baral

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Unsupervised Linking of Visual Features to Textual Descriptions in Long Manipulation Activities.

Eren Erdal Aksoy, Ekaterina Ovchinnikova, Adil Orhan, Yezhou Yang, Tamim Asfour

IEEE Robotics Autom. Lett., 2017

TripletGAN: Training Generative Model with Triplet Loss.

Gongze Cao, Yezhou Yang, Jie Lei, Cheng Jin, Yang Liu, Mingli Song

CoRR, 2017

Convolutional Neural Networks: Ensemble Modeling, Fine-Tuning and Unsupervised Semantic Localization.

Mohammadhassan Izadyyazdanabadi, Evgenii Belykh, Michael Mooney, Nikolay Martirosyan, Jennifer Eschbacher, Peter Nakaji, Mark C. Preul, Yezhou Yang

CoRR, 2017

On the Importance of Consistency in Training Deep Neural Networks.

Chengxi Ye, Yezhou Yang, Cornelia Fermüller, Yiannis Aloimonos

CoRR, 2017

Neural Style Transfer: A Review.

Yongcheng Jing, Yezhou Yang, Zunlei Feng, Jingwen Ye, Mingli Song

CoRR, 2017

Improving utility of brain tumor confocal laser endomicroscopy: objective value assessment and diagnostic frame detection with convolutional neural networks.

Mohammadhassan Izadyyazdanabadi, Evgenii Belykh, Nikolay Martirosyan, Jennifer Eschbacher, Peter Nakaji, Yezhou Yang, Mark C. Preul

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

What can i do around here? Deep functional scene understanding for cognitive robots.

Chengxi Ye, Yezhou Yang, Ren Mao, Cornelia Fermüller, Yiannis Aloimonos

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Fast task-specific target detection via graph based constraints representation and checking.

Wentao Luan, Yezhou Yang, Cornelia Fermüller, John S. Baras

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Collision-free trajectory planning in human-robot interaction through hand movement prediction from vision.

Yiwei Wang, Xin Ye, Yezhou Yang, Wenlong Zhang

Proceedings of the 17th IEEE-RAS International Conference on Humanoid Robotics, 2017

Hand Movement Prediction Based Collision-Free Human-Robot Interaction.

Yiwei Wang, Xin Ye, Yezhou Yang, Wenlong Zhang

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

What Can I Do Around Here? Deep Functional Scene Understanding for Cognitive Robots.

Chengxi Ye, Yezhou Yang, Cornelia Fermüller, Yiannis Aloimonos

CoRR, 2016

Answering Image Riddles using Vision and Reasoning through Probabilistic Soft Logic.

Somak Aditya, Yezhou Yang, Chitta Baral, Yiannis Aloimonos

CoRR, 2016

LightNet: A Versatile, Standalone Matlab-based Environment for Deep Learning.

Chengxi Ye, Chen Zhao, Yezhou Yang, Cornelia Fermüller, Yiannis Aloimonos

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Co-active learning to adapt humanoid movement for manipulation.

Ren Mao, John S. Baras, Yezhou Yang, Cornelia Fermüller

Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

Reliable Attribute-Based Object Recognition Using High Predictive Value Classifiers.

Wentao Luan, Yezhou Yang, Cornelia Fermüller, John S. Baras

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

Manipulation Action Understanding for Observation and Execution.

Yezhou Yang

PhD thesis, 2015

Neural Self Talk: Image Understanding via Continuous Questioning and Answering.

Yezhou Yang, Yi Li, Cornelia Fermüller, Yiannis Aloimonos

CoRR, 2015

From Images to Sentences through Scene Description Graphs using Commonsense Reasoning and Knowledge.

Somak Aditya, Yezhou Yang, Chitta Baral, Cornelia Fermüller, Yiannis Aloimonos

CoRR, 2015

Learning the spatial semantics of manipulation actions through preposition grounding.

Konstantinos Zampogiannis, Yezhou Yang, Cornelia Fermüller, Yiannis Aloimonos

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Grasp type revisited: A modern perspective on a classical feature for vision.

Yezhou Yang, Cornelia Fermüller, Yi Li, Yiannis Aloimonos

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Learning the Semantics of Manipulation Action.

Yezhou Yang, Yiannis Aloimonos, Cornelia Fermüller, Eren Erdal Aksoy

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Visual Commonsense for Scene Understanding Using Perception, Semantic Parsing and Reasoning.

Somak Aditya, Yezhou Yang, Chitta Baral, Cornelia Fermüller, Yiannis Aloimonos

Proceedings of the 2015 AAAI Spring Symposia, 2015

Robot Learning Manipulation Action Plans by "Watching" Unconstrained Videos from the World Wide Web.

Yezhou Yang, Yi Li, Cornelia Fermüller, Yiannis Aloimonos

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Low-level and high-level prior learning for visual saliency estimation.

Mingli Song, Chun Chen, Senlin Wang, Yezhou Yang

Inf. Sci., 2014

Manipulation action tree bank: A knowledge resource for humanoids.

Yezhou Yang, Anupam Guha, Cornelia Fermüller, Yiannis Aloimonos

Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots, 2014

Learning hand movements from markerless demonstrations for humanoid tasks.

Ren Mao, Yezhou Yang, Cornelia Fermüller, Yiannis Aloimonos, John S. Baras

Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots, 2014

2013

Color-to-gray based on chance of happening preservation.

Mingli Song, Dapeng Tao, Chun Chen, Jiajun Bu, Yezhou Yang

Neurocomputing, 2013

Minimalist plans for interpreting manipulation actions.

Anupam Guha, Yezhou Yang, Cornelia Fermüller, Yiannis Aloimonos

Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Robots with language: Multi-label visual recognition using NLP.

Yezhou Yang, Ching Lik Teo, Cornelia Fermüller, Yiannis Aloimonos

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Detection of Manipulation Action Consequences (MAC).

Yezhou Yang, Cornelia Fermüller, Yiannis Aloimonos

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Action Attribute Detection from Sports Videos with Contextual Constraints.

Xiaodong Yu, Ching Lik Teo, Yezhou Yang, Cornelia Fermüller, Yiannis Aloimonos

Proceedings of the British Machine Vision Conference, 2013

2012

Synergistic methods for using language in robotics.

Ching Lik Teo, Yezhou Yang, Cornelia Fermüller, Yiannis Aloimonos

Proceedings of the Workshop on Performance Metrics for Intelligent Systems, College Park, MD, USA, March 20, 2012

Using a minimal action grammar for activity understanding in the real world.

Douglas Summers-Stay, Ching Lik Teo, Yezhou Yang, Cornelia Fermüller, Yiannis Aloimonos

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Towards a Watson that sees: Language-guided action recognition for robots.

Ching Lik Teo, Yezhou Yang, Hal Daumé III, Cornelia Fermüller, Yiannis Aloimonos

Proceedings of the IEEE International Conference on Robotics and Automation, 2012

2011

Active scene recognition with vision and language.

Xiaodong Yu, Cornelia Fermüller, Ching Lik Teo, Yezhou Yang, Yiannis Aloimonos

Proceedings of the IEEE International Conference on Computer Vision, 2011

Corpus-Guided Sentence Generation of Natural Images.

Yezhou Yang, Ching Lik Teo, Hal Daumé III, Yiannis Aloimonos

Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

A Corpus-Guided Framework for Robotic Visual Perception.

Ching Lik Teo, Yezhou Yang, Hal Daumé III, Cornelia Fermüller, Yiannis Aloimonos

Proceedings of the Language-Action Tools for Cognitive Artificial Agents, 2011

2010

What Is the Chance of Happening: A New Way to Predict Where People Look.

Yezhou Yang, Mingli Song, Na Li, Jiajun Bu, Chun Chen

Proceedings of the Computer Vision - ECCV 2010, 2010

2009

Visual attention analysis by pseudo gravitational field.

Yezhou Yang, Mingli Song, Na Li, Jiajun Bu, Chun Chen

Proceedings of the 17th International Conference on Multimedia 2009, 2009