Yezhou Yang - RankMe

266 papers A* 40A 12B 4Misc 1Journal 158Unranked 50

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CounterVid: Counterfactual Video Generation for Mitigating Action and Temporal Hallucinations in Video-Language Models. CoRR Tobia Poppi, Burak Uzkent, Amanmeet Garg, Lucas Porto, Garin Kessler, Yezhou Yang, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara, Florian Schiffers
2026	J	`jnl`	Domain Expansion: A Latent Space Construction Framework for Multi-Task Learning. CoRR Chi-Yao Huang, Khoa Vo, Aayush Atul Verma, Duo Lu, Yezhou Yang
2026	J	`jnl`	Hi-Light: A Path to high-fidelity, high-resolution video relighting with a Novel Evaluation Paradigm. CoRR Xiangrui Liu, Haoxiang Li, Yezhou Yang
2026	J	`jnl`	MentalBlackboard: Evaluating Spatial Visualization via Mathematical Transformations. CoRR Nilay Yilmaz, Maitreya Patel, Naga Sai Abhiram Kusumba, Yixuan He, Yezhou Yang
2026	J	`jnl`	UDVideoQA: A Traffic Video Question Answering Dataset for Multi-Object Spatio-Temporal Reasoning in Urban Dynamics. CoRR Joseph Raj Vishal, Nagasiri Poluri, Katha Naik, Rutuja Patil, Kashyap Hegde Kota, Krishna Vinod, Prithvi Jai Ramesh, Mohammad Farhadi, Yezhou Yang, Bharatesh Chakravarthi
2026	J	`jnl`	eNavi: Event-based Imitation Policies for Low-Light Indoor Mobile Robot Navigation. CoRR Prithvi Jai Ramesh, Kaustav Chanda, Krishna Vinod, Joseph Raj Vishal, Yezhou Yang, Bharatesh Chakravarthi
2026	J	`jnl`	eSkiTB: A Synthetic Event-based Dataset for Tracking Skiers. CoRR Krishna Vinod, Joseph Raj Vishal, Kaustav Chanda, Prithvi Jai Ramesh, Yezhou Yang, Bharatesh Chakravarthi
2025	A*	`conf`	AcT2I: Evaluating and Improving Action Depiction in Text-to-Image Models. EMNLP Vatsal Malaviya, Agneet Chatterjee, Maitreya Patel, Yezhou Yang, Chitta Baral
2025	J	`jnl`	AcT2I: Evaluating and Improving Action Depiction in Text-to-Image Models. CoRR Vatsal Malaviya, Agneet Chatterjee, Maitreya Patel, Yezhou Yang, Chitta Baral
2025	J	`jnl`	Biomedical Foundation Model: A Survey. CoRR Xiangrui Liu, Yuanyuan Zhang, Yingzhou Lu, Changchang Yin, Xiaoling Hu, Xiaoou Liu, Lulu Chen, Sheng Wang, Alexander Rodriguez, Huaxiu Yao, Yezhou Yang, Ping Zhang, Jintai Chen, Tianfan Fu, Xiao Wang
2025	J	`jnl`	Chimera: Compositional Image Generation using Part-based Concepting. CoRR Shivam Singh, Yiming Chen, Agneet Chatterjee, Amit Raj, James Hays, Yezhou Yang, Chitta Baral
2025	—	`conf`	Debiasing Global Workspace: A Cognitive Neural Framework for Learning Debiased and Interpretable Representations. UniReps Jinyung Hong, Eun Som Jeon, Changhoon Kim, Keun Hee Park, Utkarsh Nath, Yezhou Yang, Pavan K. Turaga, Theodore P. Pavlic
2025	A	`conf`	Deep Geometric Moments Promote Shape Consistency in Text-to-3D Generation. WACV Utkarsh Nath, Rajeev Goel, Eun Som Jeon, Changhoon Kim, Kyle Min, Yezhou Yang, Yingzhen Yang, Pavan K. Turaga
2025	A*	`conf`	DeepShade: Enable Shade Simulation by Text-conditioned Image Generation. IJCAI Longchao Da, Xiangrui Liu, Mithun Shivakoti, Thirulogasankar Pranav Kutralingam, Yezhou Yang, Hua Wei
2025	J	`jnl`	DeepShade: Enable Shade Simulation by Text-conditioned Image Generation. CoRR Longchao Da, Xiangrui Liu, Mithun Shivakoti, Thirulogasankar Pranav Kutralingam, Yezhou Yang, Hua Wei
2025	J	`jnl`	Dual Caption Preference Optimization for Diffusion Models. CoRR Amir Saeidi, Yiran Luo, Agneet Chatterjee, Shamanthak Hegde, Bimsara Pathiraja, Yezhou Yang, Chitta Baral
2025	J	`jnl`	Dual Caption Preference Optimization for Diffusion Models. Trans. Mach. Learn. Res. Amir Saeidi, Yiran Lawrence Luo, Agneet Chatterjee, Shamanthak Hegde, Bimsara Pathiraja, Yezhou Yang, Chitta Baral
2025	J	`jnl`	Enhanced Cooperative Perception Through Asynchronous Vehicle to Infrastructure Framework with Delay Mitigation for Connected and Automated Vehicles. CoRR Nithish Kumar Saravanan, Varun Chandra Jammula, Yezhou Yang, Jeffrey Wishart, Junfeng Zhao
2025	J	`jnl`	EraseFlow: Learning Concept Erasure Policies via GFlowNet-Driven Alignment. CoRR Abhiram Kusumba, Maitreya Patel, Kyle Min, Changhoon Kim, Chitta Baral, Yezhou Yang
2025	—	`conf`	Event Quality Score (EQS): Assessing the Realism of Simulated Event Camera Streams via Distance in Latent Space. CVPR Workshops Kaustav Chanda, Aayush Atul Verma, Arpitsinh Vaghela, Yezhou Yang, Bharatesh Chakravarthi
2025	J	`jnl`	Event Quality Score (EQS): Assessing the Realism of Simulated Event Camera Streams via Distances in Latent Space. CoRR Kaustav Chanda, Aayush Atul Verma, Arpitsinh Vaghela, Yezhou Yang, Bharatesh Chakravarthi
2025	J	`jnl`	Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection. CoRR Aayush Atul Verma, Arpitsinh Vaghela, Bharatesh Chakravarthi, Kaustav Chanda, Yezhou Yang
2025	J	`jnl`	Generative AI in Transportation Planning: A Survey. CoRR Longchao Da, Tiejin Chen, Zhuoheng Li, Shreyas Bachiraju, Huaiyuan Yao, Li Li, Yushun Dong, Xiyang Hu, Zhengzhong Tu, Dongjie Wang, Yue Zhao, Xuanyu Zhou, Ram Pendyala, Benjamin Stabler, Yezhou Yang, Xuesong Zhou, Hua Wei
2025	J	`jnl`	Guiding Diffusion with Deep Geometric Moments: Balancing Fidelity and Variation. CoRR Sangmin Jung, Utkarsh Nath, Yezhou Yang, Giulia Pedrielli, Joydeep Biswas, Amy Zhang, Hassan Ghasemzadeh, Pavan K. Turaga
2025	J	`jnl`	Harnessing Synthetic Preference Data for Enhancing Temporal Understanding of Video-LLMs. CoRR Sameep Vani, Shreyas Jena, Maitreya Patel, Chitta Baral, Somak Aditya, Yezhou Yang
2025	J	`jnl`	InterAct-Video: Reasoning-Rich Video QA for Urban Traffic. CoRR Joseph Raj Vishal, Rutuja Patil, Manas Srinivas Gowda, Katha Naik, Yezhou Yang, Bharatesh Chakravarthi
2025	J	`jnl`	Latent Space Energy-based Neural ODEs. Trans. Mach. Learn. Res. Sheng Cheng, Deqian Kong, Jianwen Xie, Kookjin Lee, Ying Nian Wu, Yezhou Yang
2025	—	`conf`	MC-BEVRO: Multi-Camera Bird Eye View Road Occupancy Detection for Traffic Monitoring. ITSC Arpitsinh Vaghela, Duo Lu, Aayush Atul Verma, Bharatesh Chakravarthi, Hua Wei, Yezhou Yang
2025	J	`jnl`	MC-BEVRO: Multi-Camera Bird Eye View Road Occupancy Detection for Traffic Monitoring. CoRR Arpitsinh Vaghela, Duo Lu, Aayush Atul Verma, Bharatesh Chakravarthi, Hua Wei, Yezhou Yang
2025	J	`jnl`	RareFlow: Physics-Aware Flow-Matching for Cross-Sensor Super-Resolution of Rare-Earth Features. CoRR Forouzan Fallah, Wenwen Li, Chia-Yu Hsu, Hyunho Lee, Yezhou Yang
2025	J	`jnl`	RefEdit: A Benchmark and Method for Improving Instruction-based Image Editing Model on Referring Expressions. CoRR Bimsara Pathiraja, Maitreya Patel, Shivam Singh, Yezhou Yang, Chitta Baral
2025	—	`conf`	SEPose: A Synthetic Event-Based Human Pose Estimation Dataset for Pedestrian Monitoring. ITSC Kaustav Chanda, Aayush Atul Verma, Arpitsinh Vaghela, Yezhou Yang, Bharatesh Chakravarthi
2025	J	`jnl`	SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring. CoRR Kaustav Chanda, Aayush Atul Verma, Arpitsinh Vaghela, Yezhou Yang, Bharatesh Chakravarthi
2025	J	`jnl`	Stable Cinemetrics : Structured Taxonomy and Evaluation for Professional Video Generation. CoRR Agneet Chatterjee, Rahim Entezari, Maksym Zhuravinskyi, Maksim Lapin, Reshinth Adithyan, Amit Raj, Chitta Baral, Yezhou Yang, Varun Jampani
2025	—	`conf`	TextInVision: Text and Prompt Complexity Driven Visual Text Generation Benchmark. CVPR Workshops Forouzan Fallah, Maitreya Patel, Agneet Chatterjee, Vlad I. Morariu, Chitta Baral, Yezhou Yang
2025	J	`jnl`	TextInVision: Text and Prompt Complexity Driven Visual Text Generation Benchmark. CoRR Forouzan Fallah, Maitreya Patel, Agneet Chatterjee, Vlad I. Morariu, Chitta Baral, Yezhou Yang
2025	J	`jnl`	Towards a Psychoanalytic Perspective on VLM Behaviour: A First-step Interpretation with Intriguing Observations. CoRR Xiangrui Liu, Man Luo, Agneet Chatterjee, Hua Wei, Yezhou Yang
2025	J	`jnl`	VOCAL: Visual Odometry via ContrAstive Learning. CoRR Chi-Yao Huang, Zeel Bhatt, Yezhou Yang
2025	A*	`conf`	VOILA: Evaluation of MLLMs For Perceptual Understanding and Analogical Reasoning. ICLR Nilay Yilmaz, Maitreya Patel, Yiran Lawrence Luo, Tejas Gokhale, Chitta Baral, Suren Jayasuriya, Yezhou Yang
2025	J	`jnl`	VOILA: Evaluation of MLLMs For Perceptual Understanding and Analogical Reasoning. CoRR Nilay Yilmaz, Maitreya Patel, Yiran Luo, Tejas Gokhale, Chitta Baral, Suren Jayasuriya, Yezhou Yang
2024	—	`conf`	'Eyes of a Hawk and Ears of a Fox': Part Prototype Network for Generalized Zero-Shot Learning. CVPR Workshops Joshua Feinglass, Jayaraman J. Thiagarajan, Rushil Anirudh, T. S. Jayram, Yezhou Yang
2024	J	`jnl`	'Eyes of a Hawk and Ears of a Fox': Part Prototype Network for Generalized Zero-Shot Learning. CoRR Joshua Feinglass, Jayaraman J. Thiagarajan, Rushil Anirudh, T. S. Jayram, Yezhou Yang
2024	J	`jnl`	ActionCOMET: A Zero-shot Approach to Learn Image-specific Commonsense Concepts about Actions. CoRR Shailaja Keyur Sampat, Yezhou Yang, Chitta Baral
2024	A*	`conf`	ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models. AAAI Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang
2024	J	`jnl`	Deep Geometric Moments Promote Shape Consistency in Text-to-3D Generation. CoRR Utkarsh Nath, Rajeev Goel, Eun Som Jeon, Changhoon Kim, Kyle Min, Yezhou Yang, Yingzhen Yang, Pavan K. Turaga
2024	A*	`conf`	ECLIPSE: A Resource-Efficient Text-to-Image Prior for Image Generations. CVPR Maitreya Patel, Changhoon Kim, Sheng Cheng, Chitta Baral, Yezhou Yang
2024	—	`conf`	Evaluating Multimodal Large Language Models across Distribution Shifts and Augmentations. CVPR Workshops 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
2024	J	`jnl`	Formalizing and evaluating requirements of perception systems for automated vehicles using spatio-temporal perception logic. Int. J. Robotics Res. Mohammad Hekmatnejad, Bardh Hoxha, Jyotirmoy V. Deshmukh, Yezhou Yang, Georgios Fainekos
2024	—	`conf`	Getting it Right: Improving Spatial Consistency in Text-to-Image Models. ECCV (22) Agneet Chatterjee, Gabriela Ben Melech Stan, Estelle Aflalo, Sayak Paul, Dhruba Ghosh, Tejas Gokhale, Ludwig Schmidt, Hannaneh Hajishirzi, Vasudev Lal, Chitta Baral, Yezhou Yang
2024	J	`jnl`	Getting it Right: Improving Spatial Consistency in Text-to-Image Models. CoRR Agneet Chatterjee, Gabriela Ben Melech Stan, Estelle Aflalo, Sayak Paul, Dhruba Ghosh, Tejas Gokhale, Ludwig Schmidt, Hannaneh Hajishirzi, Vasudev Lal, Chitta Baral, Yezhou Yang
2024	—	`conf`	Grounding Stylistic Domain Generalization with Quantitative Domain Shift Measures and Synthetic Scene Images. CVPR Workshops Yiran Luo, Joshua Feinglass, Tejas Gokhale, Kuan-Cheng Lee, Chitta Baral, Yezhou Yang
2024	J	`jnl`	Grounding Stylistic Domain Generalization with Quantitative Domain Shift Measures and Synthetic Scene Images. CoRR Yiran Luo, Joshua Feinglass, Tejas Gokhale, Kuan-Cheng Lee, Chitta Baral, Yezhou Yang
2024	J	`jnl`	Help Me Identify: Is an LLM+VQA System All We Need to Identify Visual Concepts? CoRR Shailaja Keyur Sampat, Maitreya Patel, Yezhou Yang, Chitta Baral
2024	J	`jnl`	Latent Space Energy-based Neural ODEs. CoRR Sheng Cheng, Deqian Kong, Jianwen Xie, Kookjin Lee, Ying Nian Wu, Yezhou Yang
2024	J	`jnl`	Learning Decomposable and Debiased Representations via Attribute-Centric Information Bottlenecks. CoRR Jinyung Hong, Eun Som Jeon, Changhoon Kim, Keun Hee Park, Utkarsh Nath, Yezhou Yang, Pavan K. Turaga, Theodore P. Pavlic
2024	—	`conf`	Lost in Translation? Translation Errors and Challenges for Fair Assessment of Text-to-Image Models on Multilingual Concepts. NAACL (Short Papers) Michael Saxon, Yiran Luo, Sharon Levy, Chitta Baral, Yezhou Yang, William Yang Wang
2024	J	`jnl`	Lost in Translation? Translation Errors and Challenges for Fair Assessment of Text-to-Image Models on Multilingual Concepts. CoRR Michael Saxon, Yiran Luo, Sharon Levy, Chitta Baral, Yezhou Yang, William Yang Wang
2024	A*	`conf`	On the Robustness of Language Guidance for Low-Level Vision Tasks: Findings from Depth Estimation. CVPR Agneet Chatterjee, Tejas Gokhale, Chitta Baral, Yezhou Yang
2024	J	`jnl`	On the Robustness of Language Guidance for Low-Level Vision Tasks: Findings from Depth Estimation. CoRR Agneet Chatterjee, Tejas Gokhale, Chitta Baral, Yezhou Yang
2024	J	`jnl`	Open-TI: Open Traffic Intelligence with Augmented Language Model. CoRR Longchao Da, Kuanru Liou, Tiejin Chen, Xuesong Zhou, Xiangyong Luo, Yezhou Yang, Hua Wei
2024	J	`jnl`	Open-ti: open traffic intelligence with augmented language model. Int. J. Mach. Learn. Cybern. Longchao Da, Kuanru Liou, Tiejin Chen, Xuesong Zhou, Xiangyong Luo, Yezhou Yang, Hua Wei
2024	—	`conf`	Precision or Recall? An Analysis of Image Captions for Training Text-to-Image Generation Model. EMNLP (Findings) Sheng Cheng, Maitreya Patel, Yezhou Yang
2024	J	`jnl`	Precision or Recall? An Analysis of Image Captions for Training Text-to-Image Generation Model. CoRR Sheng Cheng, Maitreya Patel, Yezhou Yang
2024	—	`conf`	R.A.C.E. : Robust Adversarial Concept Erasure for Secure Text-to-Image Diffusion Model. ECCV (83) Changhoon Kim, Kyle Min, Yezhou Yang
2024	J	`jnl`	R.A.C.E.: Robust Adversarial Concept Erasure for Secure Text-to-Image Diffusion Model. CoRR Changhoon Kim, Kyle Min, Yezhou Yang
2024	—	`conf`	REVISION: Rendering Tools Enable Spatial Fidelity in Vision-Language Models. ECCV (30) Agneet Chatterjee, Yiran Luo, Tejas Gokhale, Yezhou Yang, Chitta Baral
2024	J	`jnl`	REVISION: Rendering Tools Enable Spatial Fidelity in Vision-Language Models. CoRR Agneet Chatterjee, Yiran Luo, Tejas Gokhale, Yezhou Yang, Chitta Baral
2024	—	`conf`	Recent Event Camera Innovations: A Survey. ECCV Workshops (24) Bharatesh Chakravarthi, Aayush Atul Verma, Kostas Daniilidis, Cornelia Fermüller, Yezhou Yang
2024	J	`jnl`	Recent Event Camera Innovations: A Survey. CoRR Bharatesh Chakravarthi, Aayush Atul Verma, Kostas Daniilidis, Cornelia Fermüller, Yezhou Yang
2024	J	`jnl`	Roundabout Dilemma Zone Data Mining and Forecasting with Trajectory Prediction and Graph Neural Networks. CoRR Manthan Chelenahalli Satish, Duo Lu, Bharatesh Chakravarthi, Mohammad Farhadi, Yezhou Yang
2024	J	`jnl`	SEVD: Synthetic Event-based Vision Dataset for Ego and Fixed Traffic Perception. CoRR Manideep Reddy Aliminati, Bharatesh Chakravarthi, Aayush Atul Verma, Arpitsinh Vaghela, Hua Wei, Xuesong Zhou, Yezhou Yang
2024	J	`jnl`	Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model's Generalizability in Permafrost Mapping. CoRR 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
2024	J	`jnl`	Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model's Generalizability in Permafrost Mapping. Remote. Sens. 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
2024	J	`jnl`	Steering Rectified Flow Models in the Vector Field for Controlled Image Generation. CoRR Maitreya Patel, Song Wen, Dimitris N. Metaxas, Yezhou Yang
2024	—	`conf`	SynTraC: A Synthetic Dataset for Traffic Signal Control from Traffic Monitoring Cameras. ITSC Tiejin Chen, Prithvi Shirke, Bharatesh Chakravarthi, Arpitsinh Vaghela, Longchao Da, Duo Lu, Yezhou Yang, Hua Wei
2024	J	`jnl`	SynTraC: A Synthetic Dataset for Traffic Signal Control from Traffic Monitoring Cameras. CoRR Tiejin Chen, Prithvi Shirke, Bharatesh Chakravarthi, Arpitsinh Vaghela, Longchao Da, Duo Lu, Yezhou Yang, Hua Wei
2024	—	`conf`	TROPE: TRaining-Free Object-Part Enhancement for Seamlessly Improving Fine-Grained Zero-Shot Image Captioning. EMNLP (Findings) Joshua Feinglass, Yezhou Yang
2024	J	`jnl`	TROPE: TRaining-Free Object-Part Enhancement for Seamlessly Improving Fine-Grained Zero-Shot Image Captioning. CoRR Joshua Feinglass, Yezhou Yang
2024	A	`conf`	Towards Addressing the Misalignment of Object Proposal Evaluation for Vision-Language Tasks via Semantic Grounding. WACV Joshua Feinglass, Yezhou Yang
2024	A*	`conf`	TripletCLIP: Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives. NeurIPS Maitreya Patel, Abhiram Kusumba, Sheng Cheng, Changhoon Kim, Tejas Gokhale, Chitta Baral, Yezhou Yang
2024	J	`jnl`	TripletCLIP: Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives. CoRR Maitreya Patel, Abhiram Kusumba, Sheng Cheng, Changhoon Kim, Tejas Gokhale, Chitta Baral, Yezhou Yang
2024	J	`jnl`	VL-GLUE: A Suite of Fundamental yet Challenging Visuo-Linguistic Reasoning Tasks. CoRR Shailaja Keyur Sampat, Mutsumi Nakamura, Shankar Kailas, Kartik Aggarwal, Mandy Zhou, Yezhou Yang, Chitta Baral
2024	A*	`conf`	WOUAF: Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffusion Models. CVPR Changhoon Kim, Kyle Min, Maitreya Patel, Sheng Cheng, Yezhou Yang
2024	A*	`conf`	eTraM: Event-Based Traffic Monitoring Dataset. CVPR Aayush Atul Verma, Bharatesh Chakravarthi, Arpitsinh Vaghela, Hua Wei, Yezhou Yang
2024	J	`jnl`	eTraM: Event-based Traffic Monitoring Dataset. CoRR Aayush Atul Verma, Bharatesh Chakravarthi, Arpitsinh Vaghela, Hua Wei, Yezhou Yang
2024	J	`jnl`	λ-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion Models by Leveraging CLIP Latent Space. CoRR Maitreya Patel, Sangmin Jung, Chitta Baral, Yezhou Yang
2024	J	`jnl`	λ-ECLIPSE: Multi-Concept Personalized Text-to-Image Diffusion Models by Leveraging CLIP Latent Space. Trans. Mach. Learn. Res. Maitreya Patel, Sangmin Jung, Chitta Baral, Yezhou Yang
2023	A*	`conf`	Adversarial Bayesian Augmentation for Single-Source Domain Generalization. ICCV Sheng Cheng, Tejas Gokhale, Yezhou Yang
2023	J	`jnl`	Adversarial Bayesian Augmentation for Single-Source Domain Generalization. CoRR Sheng Cheng, Tejas Gokhale, Yezhou Yang
2023	A*	`conf`	Attributing Image Generative Models using Latent Fingerprints. ICML Guangyu Nie, Changhoon Kim, Yezhou Yang, Yi Ren
2023	J	`jnl`	Attributing Image Generative Models using Latent Fingerprints. CoRR Guangyu Nie, Changhoon Kim, Yezhou Yang, Yi Ren
2023	A*	`conf`	CAROM Air - Vehicle Localization and Traffic Scene Reconstruction from Aerial Videos. ICRA Duo Lu, Eric Eaton, Matt Weg, Wei Wang, Steven Como, Jeffrey Wishart, Hongbin Yu, Yezhou Yang
2023	J	`jnl`	CAROM Air - Vehicle Localization and Traffic Scene Reconstruction from Aerial Videos. CoRR Duo Lu, Eric Eaton, Matt Weg, Wei Wang, Steven Como, Jeffrey Wishart, Hongbin Yu, Yezhou Yang
2023	J	`jnl`	ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models. CoRR Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang
2023	J	`jnl`	ECLIPSE: A Resource-Efficient Text-to-Image Prior for Image Generations. CoRR Maitreya Patel, Changhoon Kim, Sheng Cheng, Chitta Baral, Yezhou Yang
2023	—	`conf`	End-to-end Knowledge Retrieval with Multi-modal Queries. ACL (1) Man Luo, Zhiyuan Fang, Tejas Gokhale, Yezhou Yang, Chitta Baral
2023	J	`jnl`	End-to-end Knowledge Retrieval with Multi-modal Queries. CoRR Man Luo, Zhiyuan Fang, Tejas Gokhale, Yezhou Yang, Chitta Baral
2023	A	`conf`	Improving Diversity with Adversarially Learned Transformations for Domain Generalization. WACV Tejas Gokhale, Rushil Anirudh, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Chitta Baral, Yezhou Yang
2023	J	`jnl`	Mole Recruitment: Poisoning of Image Classifiers via Selective Batch Sampling. CoRR Ethan Wisdom, Tejas Gokhale, Chaowei Xiao, Yezhou Yang
2023	—	`conf`	SKoPe3D: A Synthetic Dataset for Vehicle Keypoint Perception in 3D from Traffic Monitoring Cameras. ITSC Himanshu Pahadia, Duo Lu, Bharatesh Chakravarthi, Yezhou Yang
2023	J	`jnl`	SKoPe3D: A Synthetic Dataset for Vehicle Keypoint Perception in 3D from Traffic Monitoring Cameras. CoRR Himanshu Pahadia, Duo Lu, Bharatesh Chakravarthi, Yezhou Yang
2023	J	`jnl`	Towards Addressing the Misalignment of Object Proposal Evaluation for Vision-Language Tasks via Semantic Grounding. CoRR Joshua Feinglass, Yezhou Yang
2023	J	`jnl`	WOUAF: Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffusion Models. CoRR Changhoon Kim, Kyle Min, Maitreya Patel, Sheng Cheng, Yezhou Yang
2022	J	`jnl`	A Coulomb Force Inspired Loss Function for High-Performance Pedestrian Detection. IEEE Signal Process. Lett. Zhe Wang, Jun Wang, Yezhou Yang, Junliang Xing
2022	Misc	`conf`	Attributable Watermarking of Speech Generative Models. ICASSP Yongbaek Cho, Changhoon Kim, Yezhou Yang, Yi Ren
2022	J	`jnl`	Attributable Watermarking of Speech Generative Models. CoRR Yongbaek Cho, Changhoon Kim, Yezhou Yang, Yi Ren
2022	J	`jnl`	Benchmarking Spatial Relationships in Text-to-Image Generation. CoRR Tejas Gokhale, Hamid Palangi, Besmira Nushi, Vibhav Vineet, Eric Horvitz, Ece Kamar, Chitta Baral, Yezhou Yang
2022	B	`conf`	CAVAN: Commonsense Knowledge Anchored Video Captioning. ICPR Huiliang Shao, Zhiyuan Fang, Yezhou Yang
2022	A*	`conf`	CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering. EMNLP Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang
2022	J	`jnl`	CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering. CoRR Maitreya Patel, Tejas Gokhale, Chitta Baral, Yezhou Yang
2022	J	`jnl`	Formalizing and Evaluating Requirements of Perception Systems for Automated Vehicles using Spatio-Temporal Perception Logic. CoRR Mohammad Hekmatnejad, Bardh Hoxha, Jyotirmoy V. Deshmukh, Yezhou Yang, Georgios Fainekos
2022	—	`conf`	Good, Better, Best: Textual Distractors Generation for Multiple-Choice Visual Question Answering via Reinforcement Learning. CVPR Workshops Jiaying Lu, Xin Ye, Yi Ren, Yezhou Yang
2022	J	`jnl`	Improving Diversity with Adversarially Learned Transformations for Domain Generalization. CoRR Tejas Gokhale, Rushil Anirudh, Jayaraman J. Thiagarajan, Bhavya Kailkhura, Chitta Baral, Yezhou Yang
2022	A*	`conf`	Injecting Semantic Concepts into End-to-End Image Captioning. CVPR Zhiyuan Fang, Jianfeng Wang, Xiaowei Hu, Lin Liang, Zhe Gan, Lijuan Wang, Yezhou Yang, Zicheng Liu
2022	—	`conf`	Learning Action-Effect Dynamics for Hypothetical Vision-Language Reasoning Task. EMNLP (Findings) Shailaja Keyur Sampat, Pratyay Banerjee, Yezhou Yang, Chitta Baral
2022	J	`jnl`	Learning Action-Effect Dynamics for Hypothetical Vision-Language Reasoning Task. CoRR Shailaja Keyur Sampat, Pratyay Banerjee, Yezhou Yang, Chitta Baral
2022	J	`jnl`	Learning Action-Effect Dynamics from Pairs of Scene-graphs. CoRR Shailaja Keyur Sampat, Pratyay Banerjee, Yezhou Yang, Chitta Baral
2022	J	`jnl`	Reasoning about Actions over Visual and Linguistic Modalities: A Survey. CoRR Shailaja Keyur Sampat, Maitreya Patel, Subhasish Das, Yezhou Yang, Chitta Baral
2022	—	`conf`	SSR-GNNs: Stroke-based Sketch Representation with Graph Neural Networks. CVPR Workshops Sheng Cheng, Yi Ren, Yezhou Yang
2022	J	`jnl`	SSR-GNNs: Stroke-based Sketch Representation with Graph Neural Networks. CoRR Sheng Cheng, Yi Ren, Yezhou Yang
2022	—	`conf`	Semantically Distributed Robust Optimization for Vision-and-Language Inference. ACL (Findings) Tejas Gokhale, Abhishek Chaudhary, Pratyay Banerjee, Chitta Baral, Yezhou Yang
2022	A*	`conf`	Targeted Attack on Deep RL-based Autonomous Driving with Learned Visual Patterns. ICRA Prasanth Buddareddygari, Travis Zhang, Yezhou Yang, Yi Ren
2022	—	`conf`	To Find Waldo You Need Contextual Cues: Debiasing Who's Waldo. ACL (2) Yiran Luo, Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral
2022	J	`jnl`	To Find Waldo You Need Contextual Cues: Debiasing Who's Waldo. CoRR Yiran Luo, Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral
2022	—	`conf`	Tragedy Plus Time: Capturing Unintended Human Activities from Weakly-labeled Videos. CVPR Workshops Arnav Chakravarthy, Zhiyuan Fang, Yezhou Yang
2022	J	`jnl`	Tragedy Plus Time: Capturing Unintended Human Activities from Weakly-labeled Videos. CoRR Arnav Chakravarthy, Zhiyuan Fang, Yezhou Yang
2021	A*	`conf`	Attribute-Guided Adversarial Training for Robustness to Natural Perturbations. AAAI Tejas Gokhale, Rushil Anirudh, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Chitta Baral, Yezhou Yang
2021	A*	`conf`	CAROM - Vehicle Localization and Traffic Scene Reconstruction from Monocular Cameras on Road Infrastructures. ICRA Duo Lu, Varun C. Jammula, Steven Como, Jeffrey Wishart, Yan Chen, Yezhou Yang
2021	J	`jnl`	CAROM - Vehicle Localization and Traffic Scene Reconstruction from Monocular Cameras on Road Infrastructures. CoRR Duo Lu, Varun C. Jammula, Steven Como, Jeffrey Wishart, Yan Chen, Yezhou Yang
2021	—	`conf`	CLEVR_HYP: A Challenge Dataset and Baselines for Visual Question Answering with Hypothetical Actions over Images. NAACL-HLT Shailaja Keyur Sampat, Akshay Kumar, Yezhou Yang, Chitta Baral
2021	J	`jnl`	CLEVR_HYP: A Challenge Dataset and Baselines for Visual Question Answering with Hypothetical Actions over Images. CoRR Shailaja Keyur Sampat, Akshay Kumar, Yezhou Yang, Chitta Baral
2021	A*	`conf`	Compressing Visual-linguistic Model via Knowledge Distillation. ICCV Zhiyuan Fang, Jianfeng Wang, Xiaowei Hu, Lijuan Wang, Yezhou Yang, Zicheng Liu
2021	J	`jnl`	Compressing Visual-linguistic Model via Knowledge Distillation. CoRR Zhiyuan Fang, Jianfeng Wang, Xiaowei Hu, Lijuan Wang, Yezhou Yang, Zicheng Liu
2021	A*	`conf`	Decentralized Attribution of Generative Models. ICLR Changhoon Kim, Yi Ren, Yezhou Yang
2021	J	`jnl`	Efficient Robotic Object Search Via HIEM: Hierarchical Policy Learning With Intrinsic-Extrinsic Modeling. IEEE Robotics Autom. Lett. Xin Ye, Yezhou Yang
2021	A	`conf`	First Workshop on Knowledge Injection in Neural Networks (KINN). CIKM Vasudev Lal, Somak Aditya, Yezhou Yang, Pasquale Minervini, Sandya Mannarswamy
2021	A*	`conf`	Hierarchical and Partially Observable Goal-Driven Policy Learning With Goals Relational Graph. CVPR Xin Ye, Yezhou Yang
2021	J	`jnl`	Hierarchical and Partially Observable Goal-driven Policy Learning with Goals Relational Graph. CoRR Xin Ye, Yezhou Yang
2021	J	`jnl`	Injecting Semantic Concepts into End-to-End Image Captioning. CoRR Zhiyuan Fang, Jianfeng Wang, Xiaowei Hu, Lin Liang, Zhe Gan, Lijuan Wang, Yezhou Yang, Zicheng Liu
2021	A*	`conf`	SEED: Self-supervised Distillation For Visual Representation. ICLR Zhiyuan Fang, Jianfeng Wang, Lijuan Wang, Lei Zhang, Yezhou Yang, Zicheng Liu
2021	J	`jnl`	SEED: Self-supervised Distillation For Visual Representation. CoRR Zhiyuan Fang, Jianfeng Wang, Lijuan Wang, Lei Zhang, Yezhou Yang, Zicheng Liu
2021	—	`conf`	SMURF: SeMantic and linguistic UndeRstanding Fusion for Caption Evaluation via Typicality Analysis. ACL/IJCNLP (1) Joshua Feinglass, Yezhou Yang
2021	J	`jnl`	SMURF: SeMantic and linguistic UndeRstanding Fusion for Caption Evaluation via Typicality Analysis. CoRR Joshua Feinglass, Yezhou Yang
2021	J	`jnl`	Semantically Distributed Robust Optimization for Vision-and-Language Inference. CoRR Tejas Gokhale, Abhishek Chaudhary, Pratyay Banerjee, Chitta Baral, Yezhou Yang
2021	J	`jnl`	Targeted Attack on Deep RL-based Autonomous Driving with Learned Visual Patterns. CoRR Prasanth Buddareddygari, Travis Zhang, Yezhou Yang, Yi Ren
2021	—	`conf`	WeaQA: Weak Supervision via Captions for Visual Question Answering. ACL/IJCNLP (Findings) Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral
2021	A*	`conf`	Weakly Supervised Relative Spatial Reasoning for Visual Question Answering. ICCV Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral
2021	J	`jnl`	Weakly Supervised Relative Spatial Reasoning for Visual Question Answering. CoRR Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral
2020	J	`jnl`	Attribute-Guided Adversarial Training for Robustness to Natural Perturbations. CoRR Tejas Gokhale, Rushil Anirudh, Bhavya Kailkhura, Jayaraman J. Thiagarajan, Chitta Baral, Yezhou Yang
2020	J	`jnl`	Decentralized Attribution of Generative Models. CoRR Changhoon Kim, Yi Ren, Yezhou Yang
2020	J	`jnl`	Diverse Visuo-Lingustic Question Answering (DVLQA) Challenge. CoRR Shailaja Sampat, Yezhou Yang, Chitta Baral
2020	J	`jnl`	Efficient Robotic Object Search via HIEM: Hierarchical Policy Learning with Intrinsic-Extrinsic Modeling. CoRR Xin Ye, Yezhou Yang
2020	—	`conf`	Enabling Incremental Knowledge Transfer for Object Detection at the Edge. CVPR Workshops Mohammad Farhadi, Mehdi Ghasemi, Sarma B. K. Vrudhula, Yezhou Yang
2020	J	`jnl`	Enabling Incremental Knowledge Transfer for Object Detection at the Edge. CoRR Mohammad Farhadi Bajestani, Mehdi Ghasemi, Sarma B. K. Vrudhula, Yezhou Yang
2020	J	`jnl`	Fine-grained visual understanding and reasoning. Neurocomputing Jun Yu, Yezhou Yang, Fionn Murtagh, Xinbo Gao
2020	J	`jnl`	From Seeing to Moving: A Survey on Learning for Visual Indoor Navigation (VIN). CoRR Xin Ye, Yezhou Yang
2020	A	`conf`	Learning hierarchical behavior and motion planning for autonomous driving. IROS Jingke Wang, Yue Wang, Dongkun Zhang, Yezhou Yang, Rong Xiong
2020	J	`jnl`	Learning hierarchical behavior and motion planning for autonomous driving. CoRR Jingke Wang, Yue Wang, Dongkun Zhang, Yezhou Yang, Rong Xiong
2020	J	`jnl`	Low to High Dimensional Modality Hallucination Using Aggregated Fields of View. IEEE Robotics Autom. Lett. Kausic Gunasekar, Qiang Qiu, Yezhou Yang
2020	J	`jnl`	Low to High Dimensional Modality Hallucination using Aggregated Fields of View. CoRR Kausic Gunasekar, Qiang Qiu, Yezhou Yang
2020	—	`conf`	MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering. EMNLP (1) Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang
2020	J	`jnl`	MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering. CoRR Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang
2020	J	`jnl`	Neural Style Transfer: A Review. IEEE Trans. Vis. Comput. Graph. Yongcheng Jing, Yezhou Yang, Zunlei Feng, Jingwen Ye, Yizhou Yu, Mingli Song
2020	J	`jnl`	Resisting the Distracting-factors in Pedestrian Detection. CoRR Zhe Wang, Jun Wang, Yezhou Yang
2020	J	`jnl`	Self-Supervised VQA: Answering Visual Questions using Images and Captions. CoRR Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral
2020	A	`conf`	TKD: Temporal Knowledge Distillation for Active Perception. WACV Mohammad Farhadi, Yezhou Yang
2020	—	`conf`	VQA-LOL: Visual Question Answering Under the Lens of Logic. ECCV (21) Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang
2020	J	`jnl`	VQA-LOL: Visual Question Answering under the Lens of Logic. CoRR Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang
2020	—	`conf`	ViTAA: Visual-Textual Attributes Alignment in Person Search by Natural Language. ECCV (12) Zhe Wang, Zhiyuan Fang, Jun Wang, Yezhou Yang
2020	J	`jnl`	ViTAA: Visual-Textual Attributes Alignment in Person Search by Natural Language. CoRR Zhe Wang, Zhiyuan Fang, Jun Wang, Yezhou Yang
2020	—	`conf`	Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning. EMNLP (1) Zhiyuan Fang, Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang
2020	J	`jnl`	Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning. CoRR Zhiyuan Fang, Tejas Gokhale, Pratyay Banerjee, Chitta Baral, Yezhou Yang
2020	—	`conf`	Visuo-Lingustic Question Answering (VLQA) Challenge. EMNLP (Findings) Shailaja Keyur Sampat, Yezhou Yang, Chitta Baral
2020	J	`jnl`	Weak Supervision and Referring Attention for Temporal-Textual Association Learning. CoRR Zhiyuan Fang, Shu Kong, Zhe Wang, Charless C. Fowlkes, Yezhou Yang
2020	J	`jnl`	memeBot: Towards Automatic Image Meme Generation. CoRR Aadhavan Sadasivam, Kausic Gunasekar, Hasan Davulcu, Yezhou Yang
2019	—	`conf`	A Novel Design of Adaptive and Hierarchical Convolutional Neural Networks using Partial Reconfiguration on FPGA. HPEC Mohammad Farhadi, Mehdi Ghasemi, Yezhou Yang
2019	J	`jnl`	A Novel Design of Adaptive and Hierarchical Convolutional Neural Networks using Partial Reconfiguration on FPGA. CoRR Mohammad Farhadi, Mehdi Ghasemi, Yezhou Yang
2019	J	`jnl`	A survey on semantic-based methods for the understanding of human movements. Robotics Auton. Syst. Karinne Ramírez-Amaro, Yezhou Yang, Gordon Cheng
2019	J	`jnl`	Active Adversarial Evader Tracking with a Probabilistic Pursuer under the Pursuit-Evasion Game Framework. CoRR Varun Chandra Jammula, Anshul Rai, Yezhou Yang
2019	J	`jnl`	Blocksworld Revisited: Learning and Reasoning to Generate Event-Sequences from Image Pairs. CoRR Tejas Gokhale, Shailaja Sampat, Zhiyuan Fang, Yezhou Yang, Chitta Baral
2019	—	`conf`	Cooking With Blocks : A Recipe for Visual Reasoning on Image-Pairs. CVPR Workshops Tejas Gokhale, Shailaja Sampat, Zhiyuan Fang, Yezhou Yang, Chitta Baral
2019	J	`jnl`	Fluorescence Image Histology Pattern Transformation using Image Style Transfer. CoRR Mohammadhassan Izadyyazdanabadi, Evgenii Belykh, Xiaochun Zhao, Leandro Borba Moreira, Sirin Gandhi, Claudio Cavallo, Jennifer Eschbacher, Peter Nakaji, Mark C. Preul, Yezhou Yang
2019	J	`jnl`	GAPLE: Generalizable Approaching Policy LEarning for Robotic Object Searching in Indoor Environment. IEEE Robotics Autom. Lett. Xin Ye, Zhe Lin, Joon-Young Lee, Jianming Zhang, Shibin Zheng, Yezhou Yang
2019	J	`jnl`	Good, Better, Best: Textual Distractors Generation for Multi-Choice VQA via Policy Gradient. CoRR Jiaying Lu, Xin Ye, Yi Ren, Yezhou Yang
2019	A*	`conf`	How Shall I Drive? Interaction Modeling and Motion Planning towards Empathetic and Socially-Graceful Driving. ICRA Yi Ren, Steven Elliott, Yiwei Wang, Yezhou Yang, Wenlong Zhang
2019	J	`jnl`	How Shall I Drive? Interaction Modeling and Motion Planning towards Empathetic and Socially-Graceful Driving. CoRR Yi Ren, Steven Elliott, Yiwei Wang, Yezhou Yang, Wenlong Zhang
2019	B	`conf`	Image Decomposition and Classification Through a Generative Model. ICIP Houpu Yao, Malcolm Regan, Yezhou Yang, Yi Ren
2019	J	`jnl`	Image Decomposition and Classification through a Generative Model. CoRR Houpu Yao, Malcolm Regan, Yezhou Yang, Yi Ren
2019	J	`jnl`	Improving Model Robustness with Transformation-Invariant Attacks. CoRR Houpu Yao, Zhe Wang, Guangyu Nie, Yassine Mazboudi, Yezhou Yang, Yi Ren
2019	A*	`conf`	Integrating Knowledge and Reasoning in Image Understanding. IJCAI Somak Aditya, Yezhou Yang, Chitta Baral
2019	J	`jnl`	Integrating Knowledge and Reasoning in Image Understanding. CoRR Somak Aditya, Yezhou Yang, Chitta Baral
2019	J	`jnl`	Interpretable Partitioned Embedding for Intelligent Multi-item Fashion Outfit Composition. ACM Trans. Multim. Comput. Commun. Appl. Zunlei Feng, Zhenyun Yu, Yongcheng Jing, Sai Wu, Mingli Song, Yezhou Yang, Junxiao Jiang
2019	A*	`conf`	Modularized Textual Grounding for Counterfactual Resilience. CVPR Zhiyuan Fang, Shu Kong, Charless C. Fowlkes, Yezhou Yang
2019	J	`jnl`	Modularized Textual Grounding for Counterfactual Resilience. CoRR Zhiyuan Fang, Shu Kong, Charless C. Fowlkes, Yezhou Yang
2019	J	`jnl`	Robot learning of manipulation activities with overall planning through precedence graph. Robotics Auton. Syst. Xin Ye, Zhe Lin, Yezhou Yang
2019	A	`conf`	Spatial Knowledge Distillation to Aid Visual Reasoning. WACV Somak Aditya, Rudra Saha, Yezhou Yang, Chitta Baral
2019	J	`jnl`	TKD: Temporal Knowledge Distillation for Active Perception. CoRR Mohammad Farhadi, Yezhou Yang
2018	A	`conf`	Active Object Perceiver: Recognition-Guided Policy Learning for Object Searching on Mobile Robots. IROS Xin Ye, Zhe Lin, Haoxiang Li, Shibin Zheng, Yezhou Yang
2018	J	`jnl`	Active Object Perceiver: Recognition-guided Policy Learning for Object Searching on Mobile Robots. CoRR Xin Ye, Zhe Lin, Haoxiang Li, Shibin Zheng, Yezhou Yang
2018	A	`conf`	Combining Knowledge and Reasoning through Probabilistic Soft Logic for Image Puzzle Solving. UAI Somak Aditya, Yezhou Yang, Chitta Baral, Yiannis Aloimonos
2018	J	`jnl`	Convolutional neural networks: Ensemble modeling, fine-tuning and unsupervised semantic localization for neurosurgical CLE images. J. Vis. Commun. Image Represent. Mohammadhassan Izadyyazdanabadi, Evgenii Belykh, Michael Mooney, Nikolay Martirosyan, Jennifer Eschbacher, Peter Nakaji, Mark C. Preul, Yezhou Yang
2018	—	`conf`	DeepSIC: Deep Semantic Image Compression. ICONIP (1) Sihui Luo, Yezhou Yang, Yanling Yin, Chengchao Shen, Ya Zhao, Mingli Song
2018	J	`jnl`	DeepSIC: Deep Semantic Image Compression. CoRR Sihui Luo, Yezhou Yang, Mingli Song
2018	B	`conf`	DeepSSH: Deep Semantic Structured Hashing for Explainable Person Re-Identification. ICIP Ya Zhao, Sihui Luo, Yezhou Yang, Mingli Song
2018	A*	`conf`	Explicit Reasoning over End-to-End Neural Architectures for Visual Question Answering. AAAI Somak Aditya, Yezhou Yang, Chitta Baral
2018	J	`jnl`	Explicit Reasoning over End-to-End Neural Architectures for Visual Question Answering. CoRR Somak Aditya, Yezhou Yang, Chitta Baral
2018	A*	`conf`	Extrinsic Dexterity Through Active Slip Control Using Deep Predictive Models. ICRA Simon Stepputtis, Yezhou Yang, Heni Ben Amor
2018	J	`jnl`	GAPLE: Generalizable Approaching Policy LEarning for Robotic Object Searching in Indoor Environment. CoRR Xin Ye, Zhe Lin, Joon-Young Lee, Jianming Zhang, Shibin Zheng, Yezhou Yang
2018	J	`jnl`	Image Understanding using vision and reasoning through Scene Description Graph. Comput. Vis. Image Underst. Somak Aditya, Yezhou Yang, Chitta Baral, Yiannis Aloimonos, Cornelia Fermüller
2018	J	`jnl`	Improving utility of brain tumor confocal laser endomicroscopy: objective value assessment and diagnostic frame detection with convolutional neural networks. CoRR Mohammadhassan Izadyyazdanabadi, Evgenii Belykh, Nikolay Martirosyan, Jennifer Eschbacher, Peter Nakaji, Yezhou Yang, Mark C. Preul
2018	J	`jnl`	Interpretable Partitioned Embedding for Customized Fashion Outfit Composition. CoRR Zunlei Feng, Zhenyun Yu, Yezhou Yang, Yongcheng Jing, Junxiao Jiang, Mingli Song
2018	B	`conf`	Interpretable Partitioned Embedding for Customized Multi-item Fashion Outfit Composition. ICMR Zunlei Feng, Zhenyun Yu, Yezhou Yang, Yongcheng Jing, Junxiao Jiang, Mingli Song
2018	J	`jnl`	Prediction of Manipulation Actions. Int. J. Comput. Vis. Cornelia Fermüller, Fang Wang, Yezhou Yang, Konstantinos Zampogiannis, Yi Zhang, Francisco Barranco, Michael Pfeiffer
2018	J	`jnl`	Prospects for Theranostics in Neurosurgical Technology: Empowering Confocal Laser Endomicroscopy Diagnostics via Deep Learning. CoRR Mohammadhassan Izadyyazdanabadi, Evgenii Belykh, Michael Mooney, Jennifer Eschbacher, Peter Nakaji, Yezhou Yang, Mark C. Preul
2018	J	`jnl`	Spatial Knowledge Distillation to aid Visual Reasoning. CoRR Somak Aditya, Rudra Saha, Yezhou Yang, Chitta Baral
2018	—	`conf`	Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields. ECCV (13) Yongcheng Jing, Yang Liu, Yezhou Yang, Zunlei Feng, Yizhou Yu, Dacheng Tao, Mingli Song
2018	J	`jnl`	Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields. CoRR Yongcheng Jing, Yang Liu, Yezhou Yang, Zunlei Feng, Yizhou Yu, Mingli Song
2018	A*	`conf`	Transductive Unbiased Embedding for Zero-Shot Learning. CVPR Jie Song, Chengchao Shen, Yezhou Yang, Yang Liu, Mingli Song
2018	J	`jnl`	Transductive Unbiased Embedding for Zero-Shot Learning. CoRR Jie Song, Chengchao Shen, Yezhou Yang, Yang Liu, Mingli Song
2018	J	`jnl`	Weakly Supervised Attention Learning for Textual Phrases Grounding. CoRR Zhiyuan Fang, Shu Kong, Tianshu Yu, Yezhou Yang
2018	—	`conf`	Weakly-Supervised Learning-Based Feature Localization for Confocal Laser Endomicroscopy Glioma Images. MICCAI (2) Mohammadhassan Izadyyazdanabadi, Evgenii Belykh, Claudio Cavallo, Xiaochun Zhao, Sirin Gandhi, Leandro Borba Moreira, Jennifer Eschbacher, Peter Nakaji, Mark C. Preul, Yezhou Yang
2018	J	`jnl`	Weakly-Supervised Learning-Based Feature Localization in Confocal Laser Endomicroscopy Glioma Images. CoRR Mohammadhassan Izadyyazdanabadi, Evgenii Belykh, Claudio Cavallo, Xiaochun Zhao, Sirin Gandhi, Leandro Borba Moreira, Jennifer Eschbacher, Peter Nakaji, Mark C. Preul, Yezhou Yang
2017	—	`conf`	Collision-free trajectory planning in human-robot interaction through hand movement prediction from vision. Humanoids Yiwei Wang, Xin Ye, Yezhou Yang, Wenlong Zhang
2017	J	`jnl`	Convolutional Neural Networks: Ensemble Modeling, Fine-Tuning and Unsupervised Semantic Localization. CoRR Mohammadhassan Izadyyazdanabadi, Evgenii Belykh, Michael Mooney, Nikolay Martirosyan, Jennifer Eschbacher, Peter Nakaji, Mark C. Preul, Yezhou Yang
2017	A*	`conf`	Fast task-specific target detection via graph based constraints representation and checking. ICRA Wentao Luan, Yezhou Yang, Cornelia Fermüller, John S. Baras
2017	—	`conf`	Hand Movement Prediction Based Collision-Free Human-Robot Interaction. CVPR Workshops Yiwei Wang, Xin Ye, Yezhou Yang, Wenlong Zhang
2017	—	`conf`	Improving utility of brain tumor confocal laser endomicroscopy: objective value assessment and diagnostic frame detection with convolutional neural networks. Computer-Aided Diagnosis Mohammadhassan Izadyyazdanabadi, Evgenii Belykh, Nikolay Martirosyan, Jennifer Eschbacher, Peter Nakaji, Yezhou Yang, Mark C. Preul
2017	J	`jnl`	Neural Style Transfer: A Review. CoRR Yongcheng Jing, Yezhou Yang, Zunlei Feng, Jingwen Ye, Mingli Song
2017	J	`jnl`	On the Importance of Consistency in Training Deep Neural Networks. CoRR Chengxi Ye, Yezhou Yang, Cornelia Fermüller, Yiannis Aloimonos
2017	J	`jnl`	TripletGAN: Training Generative Model with Triplet Loss. CoRR Gongze Cao, Yezhou Yang, Jie Lei, Cheng Jin, Yang Liu, Mingli Song
2017	J	`jnl`	Unsupervised Linking of Visual Features to Textual Descriptions in Long Manipulation Activities. IEEE Robotics Autom. Lett. Eren Erdal Aksoy, Ekaterina Ovchinnikova, Adil Orhan, Yezhou Yang, Tamim Asfour
2017	A*	`conf`	What can i do around here? Deep functional scene understanding for cognitive robots. ICRA Chengxi Ye, Yezhou Yang, Ren Mao, Cornelia Fermüller, Yiannis Aloimonos
2016	J	`jnl`	Answering Image Riddles using Vision and Reasoning through Probabilistic Soft Logic. CoRR Somak Aditya, Yezhou Yang, Chitta Baral, Yiannis Aloimonos
2016	J	`jnl`	Co-active Learning to Adapt Humanoid Movement for Manipulation. CoRR Ren Mao, John S. Baras, Yezhou Yang, Cornelia Fermüller
2016	—	`conf`	Co-active learning to adapt humanoid movement for manipulation. Humanoids Ren Mao, John S. Baras, Yezhou Yang, Cornelia Fermüller
2016	A*	`conf`	LightNet: A Versatile, Standalone Matlab-based Environment for Deep Learning. ACM Multimedia Chengxi Ye, Chen Zhao, Yezhou Yang, Cornelia Fermüller, Yiannis Aloimonos
2016	J	`jnl`	LightNet: A Versatile, Standalone Matlab-based Environment for Deep Learning. CoRR Chengxi Ye, Chen Zhao, Yezhou Yang, Cornelia Fermüller, Yiannis Aloimonos
2016	J	`jnl`	Prediction of Manipulation Actions. CoRR Cornelia Fermüller, Fang Wang, Yezhou Yang, Konstantinos Zampogiannis, Yi Zhang, Francisco Barranco, Michael Pfeiffer
2016	—	`conf`	Reliable Attribute-Based Object Recognition Using High Predictive Value Classifiers. ECCV (3) Wentao Luan, Yezhou Yang, Cornelia Fermüller, John S. Baras
2016	J	`jnl`	Reliable Attribute-Based Object Recognition Using High Predictive Value Classifiers. CoRR Wentao Luan, Yezhou Yang, Cornelia Fermüller, John S. Baras
2016	J	`jnl`	What Can I Do Around Here? Deep Functional Scene Understanding for Cognitive Robots. CoRR Chengxi Ye, Yezhou Yang, Cornelia Fermüller, Yiannis Aloimonos
2015	J	`jnl`	From Images to Sentences through Scene Description Graphs using Commonsense Reasoning and Knowledge. CoRR Somak Aditya, Yezhou Yang, Chitta Baral, Cornelia Fermüller, Yiannis Aloimonos
2015	A*	`conf`	Grasp type revisited: A modern perspective on a classical feature for vision. CVPR Yezhou Yang, Cornelia Fermüller, Yi Li, Yiannis Aloimonos
2015	—	`conf`	Learning the Semantics of Manipulation Action. ACL (1) Yezhou Yang, Yiannis Aloimonos, Cornelia Fermüller, Eren Erdal Aksoy
2015	J	`jnl`	Learning the Semantics of Manipulation Action. CoRR Yezhou Yang, Yiannis Aloimonos, Cornelia Fermüller, Eren Erdal Aksoy
2015	A*	`conf`	Learning the spatial semantics of manipulation actions through preposition grounding. ICRA Konstantinos Zampogiannis, Yezhou Yang, Cornelia Fermüller, Yiannis Aloimonos
2015	—	`—`	Manipulation Action Understanding for Observation and Execution. Yezhou Yang
2015	J	`jnl`	Neural Self Talk: Image Understanding via Continuous Questioning and Answering. CoRR Yezhou Yang, Yi Li, Cornelia Fermüller, Yiannis Aloimonos
2015	A*	`conf`	Robot Learning Manipulation Action Plans by "Watching" Unconstrained Videos from the World Wide Web. AAAI Yezhou Yang, Yi Li, Cornelia Fermüller, Yiannis Aloimonos
2015	—	`conf`	Visual Commonsense for Scene Understanding Using Perception, Semantic Parsing and Reasoning. AAAI Spring Symposia Somak Aditya, Yezhou Yang, Chitta Baral, Cornelia Fermüller, Yiannis Aloimonos
2014	—	`conf`	Learning hand movements from markerless demonstrations for humanoid tasks. Humanoids Ren Mao, Yezhou Yang, Cornelia Fermüller, Yiannis Aloimonos, John S. Baras
2014	J	`jnl`	Low-level and high-level prior learning for visual saliency estimation. Inf. Sci. Mingli Song, Chun Chen, Senlin Wang, Yezhou Yang
2014	—	`conf`	Manipulation action tree bank: A knowledge resource for humanoids. Humanoids Yezhou Yang, Anupam Guha, Cornelia Fermüller, Yiannis Aloimonos
2013	A	`conf`	Action Attribute Detection from Sports Videos with Contextual Constraints. BMVC Xiaodong Yu, Ching Lik Teo, Yezhou Yang, Cornelia Fermüller, Yiannis Aloimonos
2013	J	`jnl`	Color-to-gray based on chance of happening preservation. Neurocomputing Mingli Song, Dapeng Tao, Chun Chen, Jiajun Bu, Yezhou Yang
2013	A*	`conf`	Detection of Manipulation Action Consequences (MAC). CVPR Yezhou Yang, Cornelia Fermüller, Yiannis Aloimonos
2013	A	`conf`	Minimalist plans for interpreting manipulation actions. IROS Anupam Guha, Yezhou Yang, Cornelia Fermüller, Yiannis Aloimonos
2013	A*	`conf`	Robots with language: Multi-label visual recognition using NLP. ICRA Yezhou Yang, Ching Lik Teo, Cornelia Fermüller, Yiannis Aloimonos
2012	—	`conf`	Synergistic methods for using language in robotics. PerMIS Ching Lik Teo, Yezhou Yang, Cornelia Fermüller, Yiannis Aloimonos
2012	A*	`conf`	Towards a Watson that sees: Language-guided action recognition for robots. ICRA Ching Lik Teo, Yezhou Yang, Hal Daumé III, Cornelia Fermüller, Yiannis Aloimonos
2012	A	`conf`	Using a minimal action grammar for activity understanding in the real world. IROS Douglas Summers-Stay, Ching Lik Teo, Yezhou Yang, Cornelia Fermüller, Yiannis Aloimonos
2011	—	`conf`	A Corpus-Guided Framework for Robotic Visual Perception. Language-Action Tools for Cognitive Artificial Agents Ching Lik Teo, Yezhou Yang, Hal Daumé III, Cornelia Fermüller, Yiannis Aloimonos
2011	A*	`conf`	Active scene recognition with vision and language. ICCV Xiaodong Yu, Cornelia Fermüller, Ching Lik Teo, Yezhou Yang, Yiannis Aloimonos
2011	A*	`conf`	Corpus-Guided Sentence Generation of Natural Images. EMNLP Yezhou Yang, Ching Lik Teo, Hal Daumé III, Yiannis Aloimonos
2010	—	`conf`	What Is the Chance of Happening: A New Way to Predict Where People Look. ECCV (5) Yezhou Yang, Mingli Song, Na Li, Jiajun Bu, Chun Chen
2009	A*	`conf`	Visual attention analysis by pseudo gravitational field. ACM Multimedia Yezhou Yang, Mingli Song, Na Li, Jiajun Bu, Chun Chen