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Yezhou Yang
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2020 – today
- 2024
- [j18]Mohammad Hekmatnejad
, Bardh Hoxha, Jyotirmoy V. Deshmukh, Yezhou Yang, Georgios Fainekos:
Formalizing and evaluating requirements of perception systems for automated vehicles using spatio-temporal perception logic. Int. J. Robotics Res. 43(2): 203-238 (2024) - [j17]Longchao Da, Kuanru Liou, Tiejin Chen, Xuesong Zhou, Xiangyong Luo, Yezhou Yang, Hua Wei:
Open-ti: open traffic intelligence with augmented language model. Int. J. Mach. Learn. Cybern. 15(10): 4761-4786 (2024) - [j16]Wenwen Li
Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model's Generalizability in Permafrost Mapping. Remote. Sens. 16(5): 797 (2024) - [c95]Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang:
ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models. AAAI 2024: 14554-14562 - [c94]Agneet Chatterjee, Tejas Gokhale, Chitta Baral, Yezhou Yang:
On the Robustness of Language Guidance for Low-Level Vision Tasks: Findings from Depth Estimation. CVPR 2024: 2794-2803 - [c93]Aayush Atul Verma, Amir Saeidi, Shamanthak Hegde, Ajay Therala, Fenil Denish Bardoliya, Nagaraju Machavarapu, Shri Ajay Kumar Ravindhiran, Srija Malyala, Agneet Chatterjee, Yezhou Yang, Chitta Baral:
Evaluating Multimodal Large Language Models across Distribution Shifts and Augmentations. CVPR Workshops 2024: 5314-5324 - [c92]Yiran Luo, Joshua Feinglass, Tejas Gokhale, Kuan-Cheng Lee, Chitta Baral, Yezhou Yang:
Grounding Stylistic Domain Generalization with Quantitative Domain Shift Measures and Synthetic Scene Images. CVPR Workshops 2024: 7303-7313 - [c91]Joshua Feinglass, Jayaraman J. Thiagarajan, Rushil Anirudh, T. S. Jayram, Yezhou Yang:
'Eyes of a Hawk and Ears of a Fox': Part Prototype Network for Generalized Zero-Shot Learning. CVPR Workshops 2024: 7791-7798 - [c90]Changhoon Kim, Kyle Min, Maitreya Patel, Sheng Cheng, Yezhou Yang:
WOUAF: Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffusion Models. CVPR 2024: 8974-8983 - [c89]Maitreya Patel, Changhoon Kim, Sheng Cheng, Chitta Baral, Yezhou Yang:
ECLIPSE: A Resource-Efficient Text-to-Image Prior for Image Generations. CVPR 2024: 9069-9078 - [c88]Aayush Atul Verma, Bharatesh Chakravarthi, Arpitsinh Vaghela, Hua Wei, Yezhou Yang:
eTraM: Event-Based Traffic Monitoring Dataset. CVPR 2024: 22637-22646 - [c87]Agneet Chatterjee
Getting it Right: Improving Spatial Consistency in Text-to-Image Models. ECCV (22) 2024: 204-222 - [c86]Agneet Chatterjee
REVISION: Rendering Tools Enable Spatial Fidelity in Vision-Language Models. ECCV (30) 2024: 339-357 - [c85]Changhoon Kim
R.A.C.E. : Robust Adversarial Concept Erasure for Secure Text-to-Image Diffusion Model. ECCV (83) 2024: 461-478 - [c84]Joshua Feinglass, Yezhou Yang:
TROPE: TRaining-Free Object-Part Enhancement for Seamlessly Improving Fine-Grained Zero-Shot Image Captioning. EMNLP (Findings) 2024: 3644-3655 - [c83]Sheng Cheng, Maitreya Patel, Yezhou Yang:
Precision or Recall? An Analysis of Image Captions for Training Text-to-Image Generation Model. EMNLP (Findings) 2024: 3703-3709 - [c82]Michael Saxon, Yiran Luo, Sharon Levy, Chitta Baral, Yezhou Yang, William Yang Wang:
Lost in Translation? Translation Errors and Challenges for Fair Assessment of Text-to-Image Models on Multilingual Concepts. NAACL (Short Papers) 2024: 572-582 - [c81]Joshua Feinglass, Yezhou Yang:
Towards Addressing the Misalignment of Object Proposal Evaluation for Vision-Language Tasks via Semantic Grounding. WACV 2024: 4385-4395 - [i105]Longchao Da, Kuanru Liou, Tiejin Chen, Xuesong Zhou, Xiangyong Luo, Yezhou Yang, Hua Wei:
Open-TI: Open Traffic Intelligence with Augmented Language Model. CoRR abs/2401.00211 (2024) - [i104]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:
Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model's Generalizability in Permafrost Mapping. CoRR abs/2401.08787 (2024) - [i103]Maitreya Patel, Sangmin Jung, Chitta Baral, Yezhou Yang:
λ-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion Models by Leveraging CLIP Latent Space. CoRR abs/2402.05195 (2024) - [i102]Michael Saxon, Yiran Luo, Sharon Levy, Chitta Baral, Yezhou Yang, William Yang Wang:
Lost in Translation? Translation Errors and Challenges for Fair Assessment of Text-to-Image Models on Multilingual Concepts. CoRR abs/2403.11092 (2024) - [i101]Jinyung Hong, Eun Som Jeon, Changhoon Kim, Keun Hee Park, Utkarsh Nath, Yezhou Yang, Pavan K. Turaga, Theodore P. Pavlic:
Learning Decomposable and Debiased Representations via Attribute-Centric Information Bottlenecks. CoRR abs/2403.14140 (2024) - [i100]Aayush Atul Verma, Bharatesh Chakravarthi, Arpitsinh Vaghela, Hua Wei, Yezhou Yang:
eTraM: Event-based Traffic Monitoring Dataset. CoRR abs/2403.19976 (2024) - [i99]Agneet Chatterjee, Gabriela Ben Melech Stan, Estelle Aflalo, Sayak Paul, Dhruba Ghosh, Tejas Gokhale, Ludwig Schmidt, Hannaneh Hajishirzi, Vasudev Lal, Chitta Baral, Yezhou Yang:
Getting it Right: Improving Spatial Consistency in Text-to-Image Models. CoRR abs/2404.01197 (2024) - [i98]Agneet Chatterjee, Tejas Gokhale, Chitta Baral, Yezhou Yang:
On the Robustness of Language Guidance for Low-Level Vision Tasks: Findings from Depth Estimation. CoRR abs/2404.08540 (2024) - [i97]Joshua Feinglass, Jayaraman J. Thiagarajan, Rushil Anirudh, T. S. Jayram, Yezhou Yang:
'Eyes of a Hawk and Ears of a Fox': Part Prototype Network for Generalized Zero-Shot Learning. CoRR abs/2404.08761 (2024) - [i96]Manideep Reddy Aliminati, Bharatesh Chakravarthi, Aayush Atul Verma, Arpitsinh Vaghela, Hua Wei, Xuesong Zhou, Yezhou Yang:
SEVD: Synthetic Event-based Vision Dataset for Ego and Fixed Traffic Perception. CoRR abs/2404.10540 (2024) - [i95]Yiran Luo, Joshua Feinglass, Tejas Gokhale, Kuan-Cheng Lee, Chitta Baral, Yezhou Yang:
Grounding Stylistic Domain Generalization with Quantitative Domain Shift Measures and Synthetic Scene Images. CoRR abs/2405.15961 (2024) - [i94]Changhoon Kim, Kyle Min, Yezhou Yang:
R.A.C.E.: Robust Adversarial Concept Erasure for Secure Text-to-Image Diffusion Model. CoRR abs/2405.16341 (2024) - [i93]Agneet Chatterjee, Yiran Luo, Tejas Gokhale, Yezhou Yang, Chitta Baral:
REVISION: Rendering Tools Enable Spatial Fidelity in Vision-Language Models. CoRR abs/2408.02231 (2024) - [i92]Utkarsh Nath, Rajeev Goel, Eun Som Jeon, Changhoon Kim, Kyle Min, Yezhou Yang, Yingzhen Yang, Pavan K. Turaga:
Deep Geometric Moments Promote Shape Consistency in Text-to-3D Generation. CoRR abs/2408.05938 (2024) - [i91]Tiejin Chen, Prithvi Shirke, Bharatesh Chakravarthi, Arpitsinh Vaghela, Longchao Da, Duo Lu, Yezhou Yang, Hua Wei:
SynTraC: A Synthetic Dataset for Traffic Signal Control from Traffic Monitoring Cameras. CoRR abs/2408.09588 (2024) - [i90]Bharatesh Chakravarthi, Aayush Atul Verma, Kostas Daniilidis, Cornelia Fermüller, Yezhou Yang:
Recent Event Camera Innovations: A Survey. CoRR abs/2408.13627 (2024) - [i89]Manthan Chelenahalli Satish, Duo Lu, Bharatesh Chakravarthi
Roundabout Dilemma Zone Data Mining and Forecasting with Trajectory Prediction and Graph Neural Networks. CoRR abs/2409.00622 (2024) - [i88]Sheng Cheng, Deqian Kong, Jianwen Xie, Kookjin Lee, Ying Nian Wu, Yezhou Yang:
Latent Space Energy-based Neural ODEs. CoRR abs/2409.03845 (2024) - [i87]Joshua Feinglass, Yezhou Yang:
TROPE: TRaining-Free Object-Part Enhancement for Seamlessly Improving Fine-Grained Zero-Shot Image Captioning. CoRR abs/2409.19960 (2024) - [i86]Shailaja Keyur Sampat, Maitreya Patel, Yezhou Yang, Chitta Baral:
Help Me Identify: Is an LLM+VQA System All We Need to Identify Visual Concepts? CoRR abs/2410.13651 (2024) - [i85]Shailaja Keyur Sampat, Yezhou Yang, Chitta Baral:
ActionCOMET: A Zero-shot Approach to Learn Image-specific Commonsense Concepts about Actions. CoRR abs/2410.13662 (2024) - [i84]Shailaja Keyur Sampat, Mutsumi Nakamura, Shankar Kailas, Kartik Aggarwal, Mandy Zhou, Yezhou Yang, Chitta Baral:
VL-GLUE: A Suite of Fundamental yet Challenging Visuo-Linguistic Reasoning Tasks. CoRR abs/2410.13666 (2024) - 2023
- [c80]Man Luo, Zhiyuan Fang, Tejas Gokhale, Yezhou Yang, Chitta Baral:
End-to-end Knowledge Retrieval with Multi-modal Queries. ACL (1) 2023: 8573-8589 - [c79]Sheng Cheng, Tejas Gokhale, Yezhou Yang:
Adversarial Bayesian Augmentation for Single-Source Domain Generalization. ICCV 2023: 11366-11376 - [c78]Guangyu Nie, Changhoon Kim, Yezhou Yang, Yi Ren:
Attributing Image Generative Models using Latent Fingerprints. ICML 2023: 26150-26165 - [c77]Duo Lu, Eric Eaton, Matt Weg, Wei Wang, Steven Como, Jeffrey Wishart, Hongbin Yu
CAROM Air - Vehicle Localization and Traffic Scene Reconstruction from Aerial Videos. ICRA 2023: 10666-10673 - [c76]Himanshu Pahadia, Duo Lu, Bharatesh Chakravarthi
SKoPe3D: A Synthetic Dataset for Vehicle Keypoint Perception in 3D from Traffic Monitoring Cameras. ITSC 2023: 4367-4372 - [c75]Tejas Gokhale, Rushil Anirudh, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Chitta Baral, Yezhou Yang:
Improving Diversity with Adversarially Learned Transformations for Domain Generalization. WACV 2023: 434-443 - [i83]Ethan Wisdom, Tejas Gokhale, Chaowei Xiao, Yezhou Yang:
Mole Recruitment: Poisoning of Image Classifiers via Selective Batch Sampling. CoRR abs/2303.17080 (2023) - [i82]Guangyu Nie, Changhoon Kim, Yezhou Yang, Yi Ren:
Attributing Image Generative Models using Latent Fingerprints. CoRR abs/2304.09752 (2023) - [i81]Duo Lu, Eric Eaton, Matt Weg, Wei Wang, Steven Como, Jeffrey Wishart, Hongbin Yu, Yezhou Yang:
CAROM Air - Vehicle Localization and Traffic Scene Reconstruction from Aerial Videos. CoRR abs/2306.00075 (2023) - [i80]Man Luo, Zhiyuan Fang, Tejas Gokhale, Yezhou Yang, Chitta Baral:
End-to-end Knowledge Retrieval with Multi-modal Queries. CoRR abs/2306.00424 (2023) - [i79]Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang:
ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models. CoRR abs/2306.04695 (2023) - [i78]Changhoon Kim, Kyle Min, Maitreya Patel, Sheng Cheng, Yezhou Yang:
WOUAF: Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffusion Models. CoRR abs/2306.04744 (2023) - [i77]Sheng Cheng, Tejas Gokhale, Yezhou Yang:
Adversarial Bayesian Augmentation for Single-Source Domain Generalization. CoRR abs/2307.09520 (2023) - [i76]Joshua Feinglass, Yezhou Yang:
Towards Addressing the Misalignment of Object Proposal Evaluation for Vision-Language Tasks via Semantic Grounding. CoRR abs/2309.00215 (2023) - [i75]Himanshu Pahadia, Duo Lu, Bharatesh Chakravarthi, Yezhou Yang:
SKoPe3D: A Synthetic Dataset for Vehicle Keypoint Perception in 3D from Traffic Monitoring Cameras. CoRR abs/2309.01324 (2023) - [i74]Maitreya Patel, Changhoon Kim, Sheng Cheng, Chitta Baral, Yezhou Yang:
ECLIPSE: A Resource-Efficient Text-to-Image Prior for Image Generations. CoRR abs/2312.04655 (2023) - 2022
- [j15]Zhe Wang
A Coulomb Force Inspired Loss Function for High-Performance Pedestrian Detection. IEEE Signal Process. Lett. 29: 2318-2322 (2022) - [c74]Yiran Luo, Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral:
To Find Waldo You Need Contextual Cues: Debiasing Who's Waldo. ACL (2) 2022: 355-361 - [c73]Tejas Gokhale, Abhishek Chaudhary, Pratyay Banerjee, Chitta Baral, Yezhou Yang:
Semantically Distributed Robust Optimization for Vision-and-Language Inference. ACL (Findings) 2022: 1493-1513 - [c72]Arnav Chakravarthy, Zhiyuan Fang, Yezhou Yang:
Tragedy Plus Time: Capturing Unintended Human Activities from Weakly-labeled Videos. CVPR Workshops 2022: 3404-3414 - [c71]Jiaying Lu
Good, Better, Best: Textual Distractors Generation for Multiple-Choice Visual Question Answering via Reinforcement Learning. CVPR Workshops 2022: 4917-4926 - [c70]Sheng Cheng, Yi Ren, Yezhou Yang:
SSR-GNNs: Stroke-based Sketch Representation with Graph Neural Networks. CVPR Workshops 2022: 5127-5137 - [c69]Zhiyuan Fang, Jianfeng Wang, Xiaowei Hu, Lin Liang, Zhe Gan, Lijuan Wang, Yezhou Yang, Zicheng Liu:
Injecting Semantic Concepts into End-to-End Image Captioning. CVPR 2022: 17988-17998 - [c68]Shailaja Keyur Sampat, Pratyay Banerjee, Yezhou Yang, Chitta Baral:
Learning Action-Effect Dynamics for Hypothetical Vision-Language Reasoning Task. EMNLP (Findings) 2022: 5914-5924 - [c67]Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang:
CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering. EMNLP 2022: 9856-9870 - [c66]Yongbaek Cho, Changhoon Kim, Yezhou Yang, Yi Ren:
Attributable Watermarking of Speech Generative Models. ICASSP 2022: 3069-3073 - [c65]Huiliang Shao, Zhiyuan Fang, Yezhou Yang:
CAVAN: Commonsense Knowledge Anchored Video Captioning. ICPR 2022: 4095-4102 - [c64]Prasanth Buddareddygari, Travis Zhang, Yezhou Yang, Yi Ren:
Targeted Attack on Deep RL-based Autonomous Driving with Learned Visual Patterns. ICRA 2022: 10571-10577 - [i73]Yongbaek Cho, Changhoon Kim, Yezhou Yang, Yi Ren:
Attributable Watermarking of Speech Generative Models. CoRR abs/2202.08900 (2022) - [i72]Yiran Luo, Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral:
To Find Waldo You Need Contextual Cues: Debiasing Who's Waldo. CoRR abs/2203.16682 (2022) - [i71]Sheng Cheng, Yi Ren, Yezhou Yang:
SSR-GNNs: Stroke-based Sketch Representation with Graph Neural Networks. CoRR abs/2204.13153 (2022) - [i70]Arnav Chakravarthy, Zhiyuan Fang, Yezhou Yang:
Tragedy Plus Time: Capturing Unintended Human Activities from Weakly-labeled Videos. CoRR abs/2204.13548 (2022) - [i69]Tejas Gokhale, Rushil Anirudh, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Chitta Baral, Yezhou Yang:
Improving Diversity with Adversarially Learned Transformations for Domain Generalization. CoRR abs/2206.07736 (2022) - [i68]Mohammad Hekmatnejad, Bardh Hoxha, Jyotirmoy V. Deshmukh, Yezhou Yang, Georgios Fainekos:
Formalizing and Evaluating Requirements of Perception Systems for Automated Vehicles using Spatio-Temporal Perception Logic. CoRR abs/2206.14372 (2022) - [i67]Shailaja Keyur Sampat, Maitreya Patel, Subhasish Das, Yezhou Yang, Chitta Baral:
Reasoning about Actions over Visual and Linguistic Modalities: A Survey. CoRR abs/2207.07568 (2022) - [i66]Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang:
CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering. CoRR abs/2211.03779 (2022) - [i65]Shailaja Keyur Sampat, Pratyay Banerjee, Yezhou Yang, Chitta Baral:
Learning Action-Effect Dynamics from Pairs of Scene-graphs. CoRR abs/2212.03433 (2022) - [i64]Shailaja Keyur Sampat, Pratyay Banerjee, Yezhou Yang, Chitta Baral:
Learning Action-Effect Dynamics for Hypothetical Vision-Language Reasoning Task. CoRR abs/2212.03866 (2022) - [i63]Tejas Gokhale, Hamid Palangi, Besmira Nushi, Vibhav Vineet, Eric Horvitz, Ece Kamar, Chitta Baral, Yezhou Yang:
Benchmarking Spatial Relationships in Text-to-Image Generation. CoRR abs/2212.10015 (2022) - 2021
- [j14]Xin Ye
Efficient Robotic Object Search Via HIEM: Hierarchical Policy Learning With Intrinsic-Extrinsic Modeling. IEEE Robotics Autom. Lett. 6(3): 4425-4432 (2021) - [c63]Tejas Gokhale, Rushil Anirudh, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Chitta Baral, Yezhou Yang:
Attribute-Guided Adversarial Training for Robustness to Natural Perturbations. AAAI 2021: 7574-7582 - [c62]Joshua Feinglass, Yezhou Yang:
SMURF: SeMantic and linguistic UndeRstanding Fusion for Caption Evaluation via Typicality Analysis. ACL/IJCNLP (1) 2021: 2250-2260 - [c61]Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral:
WeaQA: Weak Supervision via Captions for Visual Question Answering. ACL/IJCNLP (Findings) 2021: 3420-3435 - [c60]Vasudev Lal, Somak Aditya, Yezhou Yang, Pasquale Minervini
First Workshop on Knowledge Injection in Neural Networks (KINN). CIKM 2021: 4882-4883 - [c59]Xin Ye, Yezhou Yang:
Hierarchical and Partially Observable Goal-Driven Policy Learning With Goals Relational Graph. CVPR 2021: 14101-14110 - [c58]Zhiyuan Fang, Jianfeng Wang, Xiaowei Hu, Lijuan Wang, Yezhou Yang, Zicheng Liu:
Compressing Visual-linguistic Model via Knowledge Distillation. ICCV 2021: 1408-1418 - [c57]Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral:
Weakly Supervised Relative Spatial Reasoning for Visual Question Answering. ICCV 2021: 1888-1898 - [c56]Zhiyuan Fang, Jianfeng Wang, Lijuan Wang, Lei Zhang, Yezhou Yang, Zicheng Liu:
SEED: Self-supervised Distillation For Visual Representation. ICLR 2021 - [c55]Changhoon Kim, Yi Ren, Yezhou Yang:
Decentralized Attribution of Generative Models. ICLR 2021 - [c54]Duo Lu, Varun C. Jammula, Steven Como, Jeffrey Wishart, Yan Chen, Yezhou Yang:
CAROM - Vehicle Localization and Traffic Scene Reconstruction from Monocular Cameras on Road Infrastructures. ICRA 2021: 11725-11731 - [c53]Shailaja Keyur Sampat, Akshay Kumar, Yezhou Yang, Chitta Baral:
CLEVR_HYP: A Challenge Dataset and Baselines for Visual Question Answering with Hypothetical Actions over Images. NAACL-HLT 2021: 3692-3709 - [i62]Zhiyuan Fang, Jianfeng Wang, Lijuan Wang, Lei Zhang, Yezhou Yang, Zicheng Liu:
SEED: Self-supervised Distillation For Visual Representation. CoRR abs/2101.04731 (2021) - [i61]Xin Ye, Yezhou Yang:
Hierarchical and Partially Observable Goal-driven Policy Learning with Goals Relational Graph. CoRR abs/2103.01350 (2021) - [i60]Duo Lu, Varun C. Jammula, Steven Como, Jeffrey Wishart, Yan Chen, Yezhou Yang:
CAROM - Vehicle Localization and Traffic Scene Reconstruction from Monocular Cameras on Road Infrastructures. CoRR abs/2104.00893 (2021) - [i59]Zhiyuan Fang, Jianfeng Wang, Xiaowei Hu, Lijuan Wang, Yezhou Yang, Zicheng Liu:
Compressing Visual-linguistic Model via Knowledge Distillation. CoRR abs/2104.02096 (2021) - [i58]Shailaja Keyur Sampat, Akshay Kumar, Yezhou Yang, Chitta Baral:
CLEVR_HYP: A Challenge Dataset and Baselines for Visual Question Answering with Hypothetical Actions over Images. CoRR abs/2104.05981 (2021) - [i57]Joshua Feinglass, Yezhou Yang:
SMURF: SeMantic and linguistic UndeRstanding Fusion for Caption Evaluation via Typicality Analysis. CoRR abs/2106.01444 (2021) - [i56]Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral:
Weakly Supervised Relative Spatial Reasoning for Visual Question Answering. CoRR abs/2109.01934 (2021) - [i55]Prasanth Buddareddygari, Travis Zhang, Yezhou Yang, Yi Ren:
Targeted Attack on Deep RL-based Autonomous Driving with Learned Visual Patterns. CoRR abs/2109.07723 (2021) - [i54]Tejas Gokhale, Abhishek Chaudhary, Pratyay Banerjee, Chitta Baral, Yezhou Yang:
Semantically Distributed Robust Optimization for Vision-and-Language Inference. CoRR abs/2110.07165 (2021) - [i53]Zhiyuan Fang, Jianfeng Wang, Xiaowei Hu, Lin Liang, Zhe Gan, Lijuan Wang, Yezhou Yang, Zicheng Liu:
Injecting Semantic Concepts into End-to-End Image Captioning. CoRR abs/2112.05230 (2021) - 2020
- [j13]Jun Yu, Yezhou Yang, Fionn Murtagh
Fine-grained visual understanding and reasoning. Neurocomputing 398: 408-410 (2020) - [j12]Kausic Gunasekar
Low to High Dimensional Modality Hallucination Using Aggregated Fields of View. IEEE Robotics Autom. Lett. 5(2): 1983-1990 (2020) - [j11]Yongcheng Jing, Yezhou Yang, Zunlei Feng
Neural Style Transfer: A Review. IEEE Trans. Vis. Comput. Graph. 26(11): 3365-3385 (2020) - [c52]Mohammad Farhadi, Mehdi Ghasemi, Sarma B. K. Vrudhula, Yezhou Yang:
Enabling Incremental Knowledge Transfer for Object Detection at the Edge. CVPR Workshops 2020: 1591-1599 - [c51]Tejas Gokhale
VQA-LOL: Visual Question Answering Under the Lens of Logic. ECCV (21) 2020: 379-396 - [c50]Zhe Wang, Zhiyuan Fang, Jun Wang, Yezhou Yang:
ViTAA: Visual-Textual Attributes Alignment in Person Search by Natural Language. ECCV (12) 2020: 402-420 - [c49]Zhiyuan Fang, Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang:
Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning. EMNLP (1) 2020: 840-860 - [c48]Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang:
MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering. EMNLP (1) 2020: 878-892 - [c47]Shailaja Keyur Sampat, Yezhou Yang, Chitta Baral:
Visuo-Lingustic Question Answering (VLQA) Challenge. EMNLP (Findings) 2020: 4606-4616 - [c46]Jingke Wang, Yue Wang, Dongkun Zhang, Yezhou Yang, Rong Xiong:
Learning hierarchical behavior and motion planning for autonomous driving. IROS 2020: 2235-2242 - [c45]Mohammad Farhadi, Yezhou Yang:
TKD: Temporal Knowledge Distillation for Active Perception. WACV 2020: 942-951 - [i52]Tejas Gokhale, Pratyay Banerjee
VQA-LOL: Visual Question Answering under the Lens of Logic. CoRR abs/2002.08325 (2020) - [i51]Xin Ye, Yezhou Yang:
From Seeing to Moving: A Survey on Learning for Visual Indoor Navigation (VIN). CoRR abs/2002.11310 (2020) - [i50]Zhiyuan Fang, Tejas Gokhale, Pratyay Banerjee
Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning. CoRR abs/2003.05162 (2020) - [i49]Mohammad Farhadi Bajestani, Mehdi Ghasemi, Sarma B. K. Vrudhula, Yezhou Yang:
Enabling Incremental Knowledge Transfer for Object Detection at the Edge. CoRR abs/2004.05746 (2020) - [i48]Aadhavan Sadasivam, Kausic Gunasekar, Hasan Davulcu, Yezhou Yang:
memeBot: Towards Automatic Image Meme Generation. CoRR abs/2004.14571 (2020) - [i47]Shailaja Sampat, Yezhou Yang, Chitta Baral:
Diverse Visuo-Lingustic Question Answering (DVLQA) Challenge. CoRR abs/2005.00330 (2020) - [i46]Jingke Wang, Yue Wang, Dongkun Zhang, Yezhou Yang, Rong Xiong:
Learning hierarchical behavior and motion planning for autonomous driving. CoRR abs/2005.03863 (2020) - [i45]Zhe Wang, Zhiyuan Fang, Jun Wang, Yezhou Yang:
ViTAA: Visual-Textual Attributes Alignment in Person Search by Natural Language. CoRR abs/2005.07327 (2020) - [i44]Zhe Wang, Jun Wang, Yezhou Yang:
Resisting the Distracting-factors in Pedestrian Detection. CoRR abs/2005.07344 (2020) - [i43]Zhiyuan Fang, Shu Kong, Zhe Wang, Charless C. Fowlkes, Yezhou Yang:
Weak Supervision and Referring Attention for Temporal-Textual Association Learning. CoRR abs/2006.11747 (2020) - [i42]Kausic Gunasekar, Qiang Qiu, Yezhou Yang:
Low to High Dimensional Modality Hallucination using Aggregated Fields of View. CoRR abs/2007.06166 (2020) - [i41]Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang:
MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering. CoRR abs/2009.08566 (2020) - [i40]Xin Ye, Yezhou Yang:
Efficient Robotic Object Search via HIEM: Hierarchical Policy Learning with Intrinsic-Extrinsic Modeling. CoRR abs/2010.08596 (2020) - [i39]Changhoon Kim, Yi Ren, Yezhou Yang:
Decentralized Attribution of Generative Models. CoRR abs/2010.13974 (2020) - [i38]Tejas Gokhale, Rushil Anirudh, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Chitta Baral, Yezhou Yang:
Attribute-Guided Adversarial Training for Robustness to Natural Perturbations. CoRR abs/2012.01806 (2020) - [i37]Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral:
Self-Supervised VQA: Answering Visual Questions using Images and Captions. CoRR abs/2012.02356 (2020)
2010 – 2019
- 2019
- [j10]Xin Ye
GAPLE: Generalizable Approaching Policy LEarning for Robotic Object Searching in Indoor Environment. IEEE Robotics Autom. Lett. 4(4): 4003-4010 (2019) - [j9]Xin Ye, Zhe L. Lin, Yezhou Yang:
Robot learning of manipulation activities with overall planning through precedence graph. Robotics Auton. Syst. 116: 126-135 (2019) - [j8]Karinne Ramirez-Amaro
A survey on semantic-based methods for the understanding of human movements. Robotics Auton. Syst. 119: 31-50 (2019) - [j7]Zunlei Feng, Zhenyun Yu, Yongcheng Jing, Sai Wu, Mingli Song, Yezhou Yang, Junxiao Jiang:
Interpretable Partitioned Embedding for Intelligent Multi-item Fashion Outfit Composition. ACM Trans. Multim. Comput. Commun. Appl. 15(2s): 61:1-61:20 (2019) - [c44]Tejas Gokhale, Shailaja Sampat, Zhiyuan Fang, Yezhou Yang, Chitta Baral:
Cooking With Blocks : A Recipe for Visual Reasoning on Image-Pairs. CVPR Workshops 2019: 5-8 - [c43]Zhiyuan Fang, Shu Kong
Modularized Textual Grounding for Counterfactual Resilience. CVPR 2019: 6378-6388 - [c42]Mohammad Farhadi, Mehdi Ghasemi, Yezhou Yang:
A Novel Design of Adaptive and Hierarchical Convolutional Neural Networks using Partial Reconfiguration on FPGA. HPEC 2019: 1-7 - [c41]Houpu Yao
Image Decomposition and Classification Through a Generative Model. ICIP 2019: 400-404 - [c40]Yi Ren, Steven Elliott, Yiwei Wang
How Shall I Drive? Interaction Modeling and Motion Planning towards Empathetic and Socially-Graceful Driving. ICRA 2019: 4325-4331 - [c39]Somak Aditya, Yezhou Yang, Chitta Baral:
Integrating Knowledge and Reasoning in Image Understanding. IJCAI 2019: 6252-6259 - [c38]Somak Aditya, Rudra Saha, Yezhou Yang, Chitta Baral:
Spatial Knowledge Distillation to Aid Visual Reasoning. WACV 2019: 227-235 - [i36]Yi Ren, Steven Elliott, Yiwei Wang, Yezhou Yang, Wenlong Zhang:
How Shall I Drive? Interaction Modeling and Motion Planning towards Empathetic and Socially-Graceful Driving. CoRR abs/1901.10013 (2019) - [i35]Houpu Yao
Improving Model Robustness with Transformation-Invariant Attacks. CoRR abs/1901.11188 (2019) - [i34]Houpu Yao, Malcolm Regan, Yezhou Yang, Yi Ren:
Image Decomposition and Classification through a Generative Model. CoRR abs/1902.03361 (2019) - [i33]Mohammad Farhadi, Yezhou Yang:
TKD: Temporal Knowledge Distillation for Active Perception. CoRR abs/1903.01522 (2019) - [i32]Zhiyuan Fang, Shu Kong, Charless C. Fowlkes, Yezhou Yang:
Modularized Textual Grounding for Counterfactual Resilience. CoRR abs/1904.03589 (2019) - [i31]Varun Chandra Jammula, Anshul Rai, Yezhou Yang:
Active Adversarial Evader Tracking with a Probabilistic Pursuer under the Pursuit-Evasion Game Framework. CoRR abs/1904.09307 (2019) - [i30]Mohammadhassan Izadyyazdanabadi, Evgenii Belykh, Xiaochun Zhao, Leandro Borba Moreira, Sirin Gandhi, Claudio Cavallo, Jennifer Eschbacher, Peter Nakaji, Mark C. Preul, Yezhou Yang:
Fluorescence Image Histology Pattern Transformation using Image Style Transfer. CoRR abs/1905.06442 (2019) - [i29]Tejas Gokhale, Shailaja Sampat, Zhiyuan Fang, Yezhou Yang, Chitta Baral:
Blocksworld Revisited: Learning and Reasoning to Generate Event-Sequences from Image Pairs. CoRR abs/1905.12042 (2019) - [i28]Somak Aditya, Yezhou Yang, Chitta Baral:
Integrating Knowledge and Reasoning in Image Understanding. CoRR abs/1906.09954 (2019) - [i27]Mohammad Farhadi, Mehdi Ghasemi, Yezhou Yang:
A Novel Design of Adaptive and Hierarchical Convolutional Neural Networks using Partial Reconfiguration on FPGA. CoRR abs/1909.05653 (2019) - [i26]Jiaying Lu
Good, Better, Best: Textual Distractors Generation for Multi-Choice VQA via Policy Gradient. CoRR abs/1910.09134 (2019) - 2018
- [j6]Somak Aditya, Yezhou Yang, Chitta Baral, Yiannis Aloimonos, Cornelia Fermüller:
Image Understanding using vision and reasoning through Scene Description Graph. Comput. Vis. Image Underst. 173: 33-45 (2018) - [j5]Cornelia Fermüller
Prediction of Manipulation Actions. Int. J. Comput. Vis. 126(2-4): 358-374 (2018) - [j4]Mohammadhassan Izadyyazdanabadi
Convolutional neural networks: Ensemble modeling, fine-tuning and unsupervised semantic localization for neurosurgical CLE images. J. Vis. Commun. Image Represent. 54: 10-20 (2018) - [c37]Somak Aditya, Yezhou Yang, Chitta Baral:
Explicit Reasoning over End-to-End Neural Architectures for Visual Question Answering. AAAI 2018: 629-637 - [c36]Jie Song
Transductive Unbiased Embedding for Zero-Shot Learning. CVPR 2018: 1024-1033 - [c35]Yongcheng Jing, Yang Liu, Yezhou Yang, Zunlei Feng, Yizhou Yu, Dacheng Tao, Mingli Song
Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields. ECCV (13) 2018: 244-260 - [c34]Ya Zhao, Sihui Luo
DeepSSH: Deep Semantic Structured Hashing for Explainable Person Re-Identification. ICIP 2018: 1653-1657 - [c33]Sihui Luo
DeepSIC: Deep Semantic Image Compression. ICONIP (1) 2018: 96-106 - [c32]Simon Stepputtis, Yezhou Yang, Heni Ben Amor:
Extrinsic Dexterity Through Active Slip Control Using Deep Predictive Models. ICRA 2018: 3180-3185 - [c31]Xin Ye, Zhe Lin, Haoxiang Li, Shibin Zheng, Yezhou Yang:
Active Object Perceiver: Recognition-Guided Policy Learning for Object Searching on Mobile Robots. IROS 2018: 6857-6863 - [c30]Mohammadhassan Izadyyazdanabadi, Evgenii Belykh, Claudio Cavallo, Xiaochun Zhao, Sirin Gandhi, Leandro Borba Moreira, Jennifer Eschbacher, Peter Nakaji, Mark C. Preul, Yezhou Yang:
Weakly-Supervised Learning-Based Feature Localization for Confocal Laser Endomicroscopy Glioma Images. MICCAI (2) 2018: 300-308 - [c29]Zunlei Feng, Zhenyun Yu, Yezhou Yang, Yongcheng Jing, Junxiao Jiang, Mingli Song:
Interpretable Partitioned Embedding for Customized Multi-item Fashion Outfit Composition. ICMR 2018: 143-151 - [c28]Somak Aditya, Yezhou Yang, Chitta Baral, Yiannis Aloimonos:
Combining Knowledge and Reasoning through Probabilistic Soft Logic for Image Puzzle Solving. UAI 2018: 238-248 - [i25]Mohammadhassan Izadyyazdanabadi, Evgenii Belykh, Nikolay Martirosyan, Jennifer Eschbacher, Peter Nakaji, Yezhou Yang, Mark C. Preul:
Improving utility of brain tumor confocal laser endomicroscopy: objective value assessment and diagnostic frame detection with convolutional neural networks. CoRR abs/1801.02101 (2018) - [i24]Sihui Luo, Yezhou Yang, Mingli Song:
DeepSIC: Deep Semantic Image Compression. CoRR abs/1801.09468 (2018) - [i23]Yongcheng Jing, Yang Liu, Yezhou Yang, Zunlei Feng, Yizhou Yu, Mingli Song:
Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields. CoRR abs/1802.07101 (2018) - [i22]Somak Aditya, Yezhou Yang, Chitta Baral:
Explicit Reasoning over End-to-End Neural Architectures for Visual Question Answering. CoRR abs/1803.08896 (2018) - [i21]Jie Song, Chengchao Shen, Yezhou Yang, Yang Liu, Mingli Song:
Transductive Unbiased Embedding for Zero-Shot Learning. CoRR abs/1803.11320 (2018) - [i20]Mohammadhassan Izadyyazdanabadi, Evgenii Belykh, Claudio Cavallo, Xiaochun Zhao, Sirin Gandhi, Leandro Borba Moreira, Jennifer Eschbacher, Peter Nakaji, Mark C. Preul, Yezhou Yang:
Weakly-Supervised Learning-Based Feature Localization in Confocal Laser Endomicroscopy Glioma Images. CoRR abs/1804.09428 (2018) - [i19]Mohammadhassan Izadyyazdanabadi, Evgenii Belykh, Michael Mooney, Jennifer Eschbacher, Peter Nakaji, Yezhou Yang, Mark C. Preul:
Prospects for Theranostics in Neurosurgical Technology: Empowering Confocal Laser Endomicroscopy Diagnostics via Deep Learning. CoRR abs/1804.09873 (2018) - [i18]Zhiyuan Fang, Shu Kong, Tianshu Yu, Yezhou Yang:
Weakly Supervised Attention Learning for Textual Phrases Grounding. CoRR abs/1805.00545 (2018) - [i17]Zunlei Feng, Zhenyun Yu, Yezhou Yang, Yongcheng Jing, Junxiao Jiang, Mingli Song:
Interpretable Partitioned Embedding for Customized Fashion Outfit Composition. CoRR abs/1806.04845 (2018) - [i16]Xin Ye, Zhe Lin, Haoxiang Li, Shibin Zheng, Yezhou Yang:
Active Object Perceiver: Recognition-guided Policy Learning for Object Searching on Mobile Robots. CoRR abs/1807.11174 (2018) - [i15]Xin Ye, Zhe Lin, Joon-Young Lee, Jianming Zhang, Shibin Zheng, Yezhou Yang:
GAPLE: Generalizable Approaching Policy LEarning for Robotic Object Searching in Indoor Environment. CoRR abs/1809.08287 (2018) - [i14]Somak Aditya, Rudra Saha, Yezhou Yang, Chitta Baral:
Spatial Knowledge Distillation to aid Visual Reasoning. CoRR abs/1812.03631 (2018) - 2017
- [j3]Eren Erdal Aksoy
Unsupervised Linking of Visual Features to Textual Descriptions in Long Manipulation Activities. IEEE Robotics Autom. Lett. 2(3): 1397-1404 (2017) - [c27]Yiwei Wang
Hand Movement Prediction Based Collision-Free Human-Robot Interaction. CVPR Workshops 2017: 492-493 - [c26]Yiwei Wang
Collision-free trajectory planning in human-robot interaction through hand movement prediction from vision. Humanoids 2017: 305-310 - [c25]Wentao Luan, Yezhou Yang, Cornelia Fermüller, John S. Baras:
Fast task-specific target detection via graph based constraints representation and checking. ICRA 2017: 3984-3991 - [c24]Chengxi Ye, Yezhou Yang, Ren Mao, Cornelia Fermüller, Yiannis Aloimonos:
What can i do around here? Deep functional scene understanding for cognitive robots. ICRA 2017: 4604-4611 - [c23]Mohammadhassan Izadyyazdanabadi, Evgenii Belykh
Improving utility of brain tumor confocal laser endomicroscopy: objective value assessment and diagnostic frame detection with convolutional neural networks. Computer-Aided Diagnosis 2017: 101342J - [i13]Yongcheng Jing, Yezhou Yang, Zunlei Feng, Jingwen Ye, Mingli Song:
Neural Style Transfer: A Review. CoRR abs/1705.04058 (2017) - [i12]Chengxi Ye, Yezhou Yang, Cornelia Fermüller, Yiannis Aloimonos:
On the Importance of Consistency in Training Deep Neural Networks. CoRR abs/1708.00631 (2017) - [i11]Mohammadhassan Izadyyazdanabadi, Evgenii Belykh, Michael Mooney, Nikolay Martirosyan, Jennifer Eschbacher, Peter Nakaji, Mark C. Preul, Yezhou Yang:
Convolutional Neural Networks: Ensemble Modeling, Fine-Tuning and Unsupervised Semantic Localization. CoRR abs/1709.03028 (2017) - [i10]Gongze Cao, Yezhou Yang, Jie Lei, Cheng Jin, Yang Liu, Mingli Song:
TripletGAN: Training Generative Model with Triplet Loss. CoRR abs/1711.05084 (2017) - 2016
- [c22]Wentao Luan, Yezhou Yang, Cornelia Fermüller, John S. Baras:
Reliable Attribute-Based Object Recognition Using High Predictive Value Classifiers. ECCV (3) 2016: 801-815 - [c21]Ren Mao, John S. Baras, Yezhou Yang, Cornelia Fermüller:
Co-active learning to adapt humanoid movement for manipulation. Humanoids 2016: 372-378 - [c20]Chengxi Ye, Chen Zhao, Yezhou Yang, Cornelia Fermüller, Yiannis Aloimonos:
LightNet: A Versatile, Standalone Matlab-based Environment for Deep Learning. ACM Multimedia 2016: 1156-1159 - [i9]Chengxi Ye, Yezhou Yang, Cornelia Fermüller, Yiannis Aloimonos:
What Can I Do Around Here? Deep Functional Scene Understanding for Cognitive Robots. CoRR abs/1602.00032 (2016) - [i8]Chengxi Ye, Chen Zhao, Yezhou Yang, Cornelia Fermüller, Yiannis Aloimonos:
LightNet: A Versatile, Standalone Matlab-based Environment for Deep Learning. CoRR abs/1605.02766 (2016) - [i7]Wentao Luan, Yezhou Yang, Cornelia Fermüller, John S. Baras:
Reliable Attribute-Based Object Recognition Using High Predictive Value Classifiers. CoRR abs/1609.03619 (2016) - [i6]Ren Mao, John S. Baras, Yezhou Yang, Cornelia Fermüller:
Co-active Learning to Adapt Humanoid Movement for Manipulation. CoRR abs/1609.03628 (2016) - [i5]Cornelia Fermüller, Fang Wang, Yezhou Yang, Konstantinos Zampogiannis, Yi Zhang, Francisco Barranco, Michael Pfeiffer:
Prediction of Manipulation Actions. CoRR abs/1610.00759 (2016) - [i4]Somak Aditya, Yezhou Yang, Chitta Baral, Yiannis Aloimonos:
Answering Image Riddles using Vision and Reasoning through Probabilistic Soft Logic. CoRR abs/1611.05896 (2016) - 2015
- [b1]Yezhou Yang:
Manipulation Action Understanding for Observation and Execution. University of Maryland, College Park, MD, USA, 2015 - [c19]Yezhou Yang, Yi Li, Cornelia Fermüller, Yiannis Aloimonos:
Robot Learning Manipulation Action Plans by "Watching" Unconstrained Videos from the World Wide Web. AAAI 2015: 3686-3693 - [c18]Somak Aditya, Yezhou Yang, Chitta Baral, Cornelia Fermüller, Yiannis Aloimonos:
Visual Commonsense for Scene Understanding Using Perception, Semantic Parsing and Reasoning. AAAI Spring Symposia 2015 - [c17]Yezhou Yang, Yiannis Aloimonos, Cornelia Fermüller, Eren Erdal Aksoy
Learning the Semantics of Manipulation Action. ACL (1) 2015: 676-686 - [c16]Yezhou Yang, Cornelia Fermüller, Yi Li, Yiannis Aloimonos:
Grasp type revisited: A modern perspective on a classical feature for vision. CVPR 2015: 400-408 - [c15]Konstantinos Zampogiannis, Yezhou Yang, Cornelia Fermüller, Yiannis Aloimonos:
Learning the spatial semantics of manipulation actions through preposition grounding. ICRA 2015: 1389-1396 - [i3]Somak Aditya, Yezhou Yang, Chitta Baral, Cornelia Fermüller, Yiannis Aloimonos:
From Images to Sentences through Scene Description Graphs using Commonsense Reasoning and Knowledge. CoRR abs/1511.03292 (2015) - [i2]Yezhou Yang, Yiannis Aloimonos, Cornelia Fermüller, Eren Erdal Aksoy:
Learning the Semantics of Manipulation Action. CoRR abs/1512.01525 (2015) - [i1]Yezhou Yang, Yi Li, Cornelia Fermüller, Yiannis Aloimonos:
Neural Self Talk: Image Understanding via Continuous Questioning and Answering. CoRR abs/1512.03460 (2015) - 2014
- [j2]Mingli Song, Chun Chen, Senlin Wang, Yezhou Yang:
Low-level and high-level prior learning for visual saliency estimation. Inf. Sci. 281: 573-585 (2014) - [c14]Ren Mao, Yezhou Yang, Cornelia Fermüller, Yiannis Aloimonos, John S. Baras:
Learning hand movements from markerless demonstrations for humanoid tasks. Humanoids 2014: 938-943 - [c13]Yezhou Yang, Anupam Guha, Cornelia Fermüller, Yiannis Aloimonos:
Manipulation action tree bank: A knowledge resource for humanoids. Humanoids 2014: 987-992 - 2013
- [j1]Mingli Song, Dapeng Tao
Color-to-gray based on chance of happening preservation. Neurocomputing 119: 222-231 (2013) - [c12]Xiaodong Yu, Ching Lik Teo, Yezhou Yang, Cornelia Fermüller, Yiannis Aloimonos:
Action Attribute Detection from Sports Videos with Contextual Constraints. BMVC 2013 - [c11]Yezhou Yang, Cornelia Fermüller, Yiannis Aloimonos:
Detection of Manipulation Action Consequences (MAC). CVPR 2013: 2563-2570 - [c10]Yezhou Yang, Ching Lik Teo, Cornelia Fermüller, Yiannis Aloimonos:
Robots with language: Multi-label visual recognition using NLP. ICRA 2013: 4256-4262 - [c9]Anupam Guha, Yezhou Yang, Cornelia Fermüller, Yiannis Aloimonos:
Minimalist plans for interpreting manipulation actions. IROS 2013: 5908-5914 - 2012
- [c8]Ching Lik Teo, Yezhou Yang, Hal Daumé III, Cornelia Fermüller, Yiannis Aloimonos:
Towards a Watson that sees: Language-guided action recognition for robots. ICRA 2012: 374-381 - [c7]Douglas Summers-Stay, Ching Lik Teo, Yezhou Yang, Cornelia Fermüller, Yiannis Aloimonos:
Using a minimal action grammar for activity understanding in the real world. IROS 2012: 4104-4111 - [c6]Ching Lik Teo, Yezhou Yang, Cornelia Fermüller, Yiannis Aloimonos:
Synergistic methods for using language in robotics. PerMIS 2012: 82-88 - 2011
- [c5]Ching Lik Teo, Yezhou Yang, Hal Daumé III, Cornelia Fermüller, Yiannis Aloimonos:
A Corpus-Guided Framework for Robotic Visual Perception. Language-Action Tools for Cognitive Artificial Agents 2011 - [c4]Yezhou Yang, Ching Lik Teo, Hal Daumé III, Yiannis Aloimonos:
Corpus-Guided Sentence Generation of Natural Images. EMNLP 2011: 444-454 - [c3]Xiaodong Yu, Cornelia Fermüller, Ching Lik Teo, Yezhou Yang, Yiannis Aloimonos:
Active scene recognition with vision and language. ICCV 2011: 810-817 - 2010
- [c2]Yezhou Yang, Mingli Song, Na Li, Jiajun Bu, Chun Chen:
What Is the Chance of Happening: A New Way to Predict Where People Look. ECCV (5) 2010: 631-643
2000 – 2009
- 2009
- [c1]Yezhou Yang, Mingli Song, Na Li, Jiajun Bu, Chun Chen:
Visual attention analysis by pseudo gravitational field. ACM Multimedia 2009: 553-556
Coauthor Index
[c95] [c94] [c93] [c92] [c89] [c87] [c86] [c82] [i103] [i102] [i99] [i98] [i95] [i93] [i86] [i85] [i84] [c80] [c75] [i80] [i79] [i74] [c74] [c73] [c68] [c67] [i72] [i69] [i67] [i66] [i65] [i64] [i63] [c63] [c61] [c57] [c53] [i58] [i56] [i54] [c51] [c49] [c48] [c47] [i52] [i50] [i47] [i41] [i38] [i37] [c44] [c39] [c38] [i29] [i28] [j6] [c37] [c28] [i22] [i14] [i4] [c18] [i3]
Shailaja Sampat
aka: Shailaja Keyur Sampat
aka: Shailaja Keyur Sampat
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