Visual attention analysis by pseudo gravitational field. - Yezhou Yang; Mingli Song; Na Li; Jiajun Bu; Chun Chen 001 (ACM Multimedia, 2009)

What Is the Chance of Happening: A New Way to Predict Where People Look. - Yezhou Yang; Mingli Song; Na Li; Jiajun Bu; Chun Chen 001 (ECCV (5), 2010)

A Corpus-Guided Framework for Robotic Visual Perception. - Ching Lik Teo; Yezhou Yang; Hal Daumé III; Cornelia Fermüller; Yiannis Aloimonos (Language-Action Tools for Cognitive Artificial Agents, 2011)

Corpus-Guided Sentence Generation of Natural Images. - Yezhou Yang; Ching Lik Teo; Hal Daumé III; Yiannis Aloimonos (EMNLP, 2011)

Active scene recognition with vision and language. - Xiaodong Yu 002; Cornelia Fermüller; Ching Lik Teo; Yezhou Yang; Yiannis Aloimonos (ICCV, 2011)

Towards a Watson that sees: Language-guided action recognition for robots. - Ching Lik Teo; Yezhou Yang; Hal Daumé III; Cornelia Fermüller; Yiannis Aloimonos (ICRA, 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 (IROS, 2012)

Synergistic methods for using language in robotics. - Ching Lik Teo; Yezhou Yang; Cornelia Fermüller; Yiannis Aloimonos (PerMIS, 2012)

Action Attribute Detection from Sports Videos with Contextual Constraints. - Xiaodong Yu 002; Ching Lik Teo; Yezhou Yang; Cornelia Fermüller; Yiannis Aloimonos (BMVC, 2013)

Detection of Manipulation Action Consequences (MAC). - Yezhou Yang; Cornelia Fermüller; Yiannis Aloimonos (CVPR, 2013)

Robots with language: Multi-label visual recognition using NLP. - Yezhou Yang; Ching Lik Teo; Cornelia Fermüller; Yiannis Aloimonos (ICRA, 2013)

Minimalist plans for interpreting manipulation actions. - Anupam Guha; Yezhou Yang; Cornelia Fermüller; Yiannis Aloimonos (IROS, 2013)

Color-to-gray based on chance of happening preservation. - Mingli Song; Dapeng Tao; Chun Chen 001; Jiajun Bu; Yezhou Yang (Neurocomputing, 2013)

Learning hand movements from markerless demonstrations for humanoid tasks. - Ren Mao; Yezhou Yang; Cornelia Fermüller; Yiannis Aloimonos; John S. Baras (Humanoids, 2014)

Manipulation action tree bank: A knowledge resource for humanoids. - Yezhou Yang; Anupam Guha; Cornelia Fermüller; Yiannis Aloimonos (Humanoids, 2014)

Low-level and high-level prior learning for visual saliency estimation. - Mingli Song; Chun Chen 001; Senlin Wang; Yezhou Yang (Inf. Sci., 2014)

Robot Learning Manipulation Action Plans by "Watching" Unconstrained Videos from the World Wide Web. - Yezhou Yang; Yi Li; Cornelia Fermüller; Yiannis Aloimonos (AAAI, 2015)

Visual Commonsense for Scene Understanding Using Perception, Semantic Parsing and Reasoning. - Somak Aditya; Yezhou Yang; Chitta Baral; Cornelia Fermüller; Yiannis Aloimonos (AAAI Spring Symposia, 2015)

Learning the Semantics of Manipulation Action. - Yezhou Yang; Yiannis Aloimonos; Cornelia Fermüller; Eren Erdal Aksoy (ACL (1), 2015)

Grasp type revisited: A modern perspective on a classical feature for vision. - Yezhou Yang; Cornelia Fermüller; Yi Li; Yiannis Aloimonos (CVPR, 2015)

Learning the spatial semantics of manipulation actions through preposition grounding. - Konstantinos Zampogiannis; Yezhou Yang; Cornelia Fermüller; Yiannis Aloimonos (ICRA, 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)

Neural Self Talk: Image Understanding via Continuous Questioning and Answering. - Yezhou Yang; Yi Li; Cornelia Fermüller; Yiannis Aloimonos (CoRR, 2015)

Manipulation Action Understanding for Observation and Execution. - Yezhou Yang (2015)

Reliable Attribute-Based Object Recognition Using High Predictive Value Classifiers. - Wentao Luan; Yezhou Yang; Cornelia Fermüller; John S. Baras (ECCV (3), 2016)

Co-active learning to adapt humanoid movement for manipulation. - Ren Mao; John S. Baras; Yezhou Yang; Cornelia Fermüller (Humanoids, 2016)

LightNet: A Versatile, Standalone Matlab-based Environment for Deep Learning. - Chengxi Ye; Chen Zhao 009; Yezhou Yang; Cornelia Fermüller; Yiannis Aloimonos (ACM Multimedia, 2016)

Answering Image Riddles using Vision and Reasoning through Probabilistic Soft Logic. - Somak Aditya; Yezhou Yang; Chitta Baral; Yiannis Aloimonos (CoRR, 2016)

What Can I Do Around Here? Deep Functional Scene Understanding for Cognitive Robots. - Chengxi Ye; Yezhou Yang; Cornelia Fermüller; Yiannis Aloimonos (CoRR, 2016)

Hand Movement Prediction Based Collision-Free Human-Robot Interaction. - Yiwei Wang 002; Xin Ye; Yezhou Yang; Wenlong Zhang (CVPR Workshops, 2017)

Collision-free trajectory planning in human-robot interaction through hand movement prediction from vision. - Yiwei Wang 002; Xin Ye; Yezhou Yang; Wenlong Zhang (Humanoids, 2017)

Fast task-specific target detection via graph based constraints representation and checking. - Wentao Luan; Yezhou Yang; Cornelia Fermüller; John S. Baras (ICRA, 2017)

What can i do around here? Deep functional scene understanding for cognitive robots. - Chengxi Ye; Yezhou Yang; Ren Mao; Cornelia Fermüller; Yiannis Aloimonos (ICRA, 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 (Computer-Aided Diagnosis, 2017)

Neural Style Transfer: A Review. - Yongcheng Jing; Yezhou Yang; Zunlei Feng; Jingwen Ye; Mingli Song (CoRR, 2017)

On the Importance of Consistency in Training Deep Neural Networks. - Chengxi Ye; Yezhou Yang; Cornelia Fermüller; Yiannis Aloimonos (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)

TripletGAN: Training Generative Model with Triplet Loss. - Gongze Cao; Yezhou Yang; Jie Lei 002; Cheng Jin 001; Yang Liu 212; Mingli Song (CoRR, 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)

Explicit Reasoning over End-to-End Neural Architectures for Visual Question Answering. - Somak Aditya; Yezhou Yang; Chitta Baral (AAAI, 2018)

Transductive Unbiased Embedding for Zero-Shot Learning. - Jie Song 011; Chengchao Shen; Yezhou Yang; Yang Liu 212; Mingli Song (CVPR, 2018)

Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields. - Yongcheng Jing; Yang Liu 212; Yezhou Yang; Zunlei Feng; Yizhou Yu; Dacheng Tao; Mingli Song (ECCV (13), 2018)

DeepSSH: Deep Semantic Structured Hashing for Explainable Person Re-Identification. - Ya Zhao; Sihui Luo 001; Yezhou Yang; Mingli Song (ICIP, 2018)

DeepSIC: Deep Semantic Image Compression. - Sihui Luo 001; Yezhou Yang; Yanling Yin; Chengchao Shen; Ya Zhao; Mingli Song (ICONIP (1), 2018)

Extrinsic Dexterity Through Active Slip Control Using Deep Predictive Models. - Simon Stepputtis; Yezhou Yang; Heni Ben Amor (ICRA, 2018)

Active Object Perceiver: Recognition-Guided Policy Learning for Object Searching on Mobile Robots. - Xin Ye; Zhe Lin 001; Haoxiang Li; Shibin Zheng; Yezhou Yang (IROS, 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 (MICCAI (2), 2018)

Interpretable Partitioned Embedding for Customized Multi-item Fashion Outfit Composition. - Zunlei Feng; Zhenyun Yu; Yezhou Yang; Yongcheng Jing; Junxiao Jiang; Mingli Song (ICMR, 2018)

Combining Knowledge and Reasoning through Probabilistic Soft Logic for Image Puzzle Solving. - Somak Aditya; Yezhou Yang; Chitta Baral; Yiannis Aloimonos (UAI, 2018)

DeepSIC: Deep Semantic Image Compression. - Sihui Luo 001; Yezhou Yang; Mingli Song (CoRR, 2018)

Stroke Controllable Fast Style Transfer with Adaptive Receptive Fields. - Yongcheng Jing; Yang Liu 212; Yezhou Yang; Zunlei Feng; Yizhou Yu; Mingli Song (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)

Weakly Supervised Attention Learning for Textual Phrases Grounding. - Zhiyuan Fang; Shu Kong; Tianshu Yu 001; Yezhou Yang (CoRR, 2018)

Interpretable Partitioned Embedding for Customized Fashion Outfit Composition. - Zunlei Feng; Zhenyun Yu; Yezhou Yang; Yongcheng Jing; Junxiao Jiang; Mingli Song (CoRR, 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)

Prediction of Manipulation Actions. - Cornelia Fermüller; Fang Wang; Yezhou Yang; Konstantinos Zampogiannis; Yi Zhang; Francisco Barranco; Michael Pfeiffer 001 (Int. J. Comput. Vis., 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)

Modularized Textual Grounding for Counterfactual Resilience. - Zhiyuan Fang; Shu Kong; Charless C. Fowlkes; Yezhou Yang (CVPR, 2019)

Cooking With Blocks : A Recipe for Visual Reasoning on Image-Pairs. - Tejas Gokhale; Shailaja Sampat; Zhiyuan Fang; Yezhou Yang; Chitta Baral (CVPR Workshops, 2019)

A Novel Design of Adaptive and Hierarchical Convolutional Neural Networks using Partial Reconfiguration on FPGA. - Mohammad Farhadi; Mehdi Ghasemi 003; Yezhou Yang (HPEC, 2019)

Image Decomposition and Classification Through a Generative Model. - Houpu Yao; Malcolm Regan; Yezhou Yang; Yi Ren (ICIP, 2019)

How Shall I Drive? Interaction Modeling and Motion Planning towards Empathetic and Socially-Graceful Driving. - Yi Ren; Steven Elliott; Yiwei Wang 002; Yezhou Yang; Wenlong Zhang (ICRA, 2019)

Integrating Knowledge and Reasoning in Image Understanding. - Somak Aditya; Yezhou Yang; Chitta Baral (IJCAI, 2019)

Spatial Knowledge Distillation to Aid Visual Reasoning. - Somak Aditya; Rudra Saha; Yezhou Yang; Chitta Baral (WACV, 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 (CoRR, 2019)

Improving Model Robustness with Transformation-Invariant Attacks. - Houpu Yao; Zhe Wang; Guangyu Nie; Yassine Mazboudi; Yezhou Yang; Yi Ren (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)

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)

Blocksworld Revisited: Learning and Reasoning to Generate Event-Sequences from Image Pairs. - Tejas Gokhale; Shailaja Sampat; Zhiyuan Fang; Yezhou Yang; Chitta Baral (CoRR, 2019)

Good, Better, Best: Textual Distractors Generation for Multi-Choice VQA via Policy Gradient. - Jiaying Lu 001; Xin Ye; Yi Ren; Yezhou Yang (CoRR, 2019)

GAPLE: Generalizable Approaching Policy LEarning for Robotic Object Searching in Indoor Environment. - Xin Ye; Zhe Lin 001; Joon-Young Lee; Jianming Zhang 001; Shibin Zheng; Yezhou Yang (IEEE Robotics Autom. Lett., 2019)

A survey on semantic-based methods for the understanding of human movements. - Karinne Ramirez-Amaro; Yezhou Yang; Gordon Cheng (Robotics Auton. Syst., 2019)

Robot learning of manipulation activities with overall planning through precedence graph. - Xin Ye; Zhe Lin 001; Yezhou Yang (Robotics Auton. Syst., 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)

Enabling Incremental Knowledge Transfer for Object Detection at the Edge. - Mohammad Farhadi; Mehdi Ghasemi 003; Sarma B. K. Vrudhula; Yezhou Yang (CVPR Workshops, 2020)

VQA-LOL: Visual Question Answering Under the Lens of Logic. - Tejas Gokhale; Pratyay Banerjee; Chitta Baral; Yezhou Yang (ECCV (21), 2020)

ViTAA: Visual-Textual Attributes Alignment in Person Search by Natural Language. - Zhe Wang 013; Zhiyuan Fang; Jun Wang 041; Yezhou Yang (ECCV (12), 2020)

Video2Commonsense: Generating Commonsense Descriptions to Enrich Video Captioning. - Zhiyuan Fang; Tejas Gokhale; Pratyay Banerjee; Chitta Baral; Yezhou Yang (EMNLP (1), 2020)

MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering. - Tejas Gokhale; Pratyay Banerjee; Chitta Baral; Yezhou Yang (EMNLP (1), 2020)

Visuo-Lingustic Question Answering (VLQA) Challenge. - Shailaja Keyur Sampat; Yezhou Yang; Chitta Baral (EMNLP (Findings), 2020)

Learning hierarchical behavior and motion planning for autonomous driving. - Jingke Wang; Yue Wang 020; Dongkun Zhang; Yezhou Yang; Rong Xiong (IROS, 2020)

TKD: Temporal Knowledge Distillation for Active Perception. - Mohammad Farhadi; Yezhou Yang (WACV, 2020)

From Seeing to Moving: A Survey on Learning for Visual Indoor Navigation (VIN). - Xin Ye; Yezhou Yang (CoRR, 2020)

Enabling Incremental Knowledge Transfer for Object Detection at the Edge. - Mohammad Farhadi Bajestani; Mehdi Ghasemi 003; Sarma B. K. Vrudhula; Yezhou Yang (CoRR, 2020)

memeBot: Towards Automatic Image Meme Generation. - Aadhavan Sadasivam; Kausic Gunasekar; Hasan Davulcu; Yezhou Yang (CoRR, 2020)

Diverse Visuo-Lingustic Question Answering (DVLQA) Challenge. - Shailaja Sampat; Yezhou Yang; Chitta Baral (CoRR, 2020)

Resisting the Distracting-factors in Pedestrian Detection. - Zhe Wang 013; Jun Wang 041; Yezhou Yang (CoRR, 2020)

Weak Supervision and Referring Attention for Temporal-Textual Association Learning. - Zhiyuan Fang; Shu Kong; Zhe Wang 013; Charless C. Fowlkes; Yezhou Yang (CoRR, 2020)

Low to High Dimensional Modality Hallucination using Aggregated Fields of View. - Kausic Gunasekar; Qiang Qiu; Yezhou Yang (CoRR, 2020)

Self-Supervised VQA: Answering Visual Questions using Images and Captions. - Pratyay Banerjee; Tejas Gokhale; Yezhou Yang; Chitta Baral (CoRR, 2020)

Fine-grained visual understanding and reasoning. - Jun Yu 002; Yezhou Yang; Fionn Murtagh; Xinbo Gao 001 (Neurocomputing, 2020)

Low to High Dimensional Modality Hallucination Using Aggregated Fields of View. - Kausic Gunasekar; Qiang Qiu 001; Yezhou Yang (IEEE Robotics Autom. Lett., 2020)

Neural Style Transfer: A Review. - Yongcheng Jing; Yezhou Yang; Zunlei Feng; Jingwen Ye; Yizhou Yu; Mingli Song (IEEE Trans. Vis. Comput. Graph., 2020)

Attribute-Guided Adversarial Training for Robustness to Natural Perturbations. - Tejas Gokhale; Rushil Anirudh; Bhavya Kailkhura; Jayaraman J. Thiagarajan; Chitta Baral; Yezhou Yang (AAAI, 2021)

WeaQA: Weak Supervision via Captions for Visual Question Answering. - Pratyay Banerjee; Tejas Gokhale; Yezhou Yang; Chitta Baral (ACL/IJCNLP (Findings), 2021)

SMURF: SeMantic and linguistic UndeRstanding Fusion for Caption Evaluation via Typicality Analysis. - Joshua Feinglass; Yezhou Yang (ACL/IJCNLP (1), 2021)

First Workshop on Knowledge Injection in Neural Networks (KINN). - Vasudev Lal; Somak Aditya; Yezhou Yang; Pasquale Minervini; Sandya Mannarswamy (CIKM, 2021)

Hierarchical and Partially Observable Goal-Driven Policy Learning With Goals Relational Graph. - Xin Ye; Yezhou Yang (CVPR, 2021)

Weakly Supervised Relative Spatial Reasoning for Visual Question Answering. - Pratyay Banerjee; Tejas Gokhale; Yezhou Yang; Chitta Baral (ICCV, 2021)

Compressing Visual-linguistic Model via Knowledge Distillation. - Zhiyuan Fang; Jianfeng Wang; Xiaowei Hu 006; Lijuan Wang; Yezhou Yang; Zicheng Liu 001 (ICCV, 2021)

SEED: Self-supervised Distillation For Visual Representation. - Zhiyuan Fang; Jianfeng Wang; Lijuan Wang; Lei Zhang 001; Yezhou Yang; Zicheng Liu 001 (ICLR, 2021)

Decentralized Attribution of Generative Models. - Changhoon Kim; Yi Ren; Yezhou Yang (ICLR, 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 013; Yezhou Yang (ICRA, 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 (NAACL-HLT, 2021)

Efficient Robotic Object Search Via HIEM: Hierarchical Policy Learning With Intrinsic-Extrinsic Modeling. - Xin Ye; Yezhou Yang (IEEE Robotics Autom. Lett., 2021)

Semantically Distributed Robust Optimization for Vision-and-Language Inference. - Tejas Gokhale; Abhishek Chaudhary; Pratyay Banerjee; Chitta Baral; Yezhou Yang (ACL (Findings), 2022)

To Find Waldo You Need Contextual Cues: Debiasing Who's Waldo. - Yiran Luo 001; Pratyay Banerjee; Tejas Gokhale; Yezhou Yang; Chitta Baral (ACL (2), 2022)

Good, Better, Best: Textual Distractors Generation for Multiple-Choice Visual Question Answering via Reinforcement Learning. - Jiaying Lu 001; Xin Ye; Yi Ren; Yezhou Yang (CVPR Workshops, 2022)

Tragedy Plus Time: Capturing Unintended Human Activities from Weakly-labeled Videos. - Arnav Chakravarthy; Zhiyuan Fang; Yezhou Yang (CVPR Workshops, 2022)

SSR-GNNs: Stroke-based Sketch Representation with Graph Neural Networks. - Sheng Cheng; Yi Ren; Yezhou Yang (CVPR Workshops, 2022)

Injecting Semantic Concepts into End-to-End Image Captioning. - Zhiyuan Fang; Jianfeng Wang; Xiaowei Hu 006; Lin Liang; Zhe Gan; Lijuan Wang; Yezhou Yang; Zicheng Liu 001 (CVPR, 2022)

CRIPP-VQA: Counterfactual Reasoning about Implicit Physical Properties via Video Question Answering. - Maitreya Patel; Tejas Gokhale; Chitta Baral; Yezhou Yang (EMNLP, 2022)

Learning Action-Effect Dynamics for Hypothetical Vision-Language Reasoning Task. - Shailaja Keyur Sampat; Pratyay Banerjee; Yezhou Yang; Chitta Baral (EMNLP (Findings), 2022)

Attributable Watermarking of Speech Generative Models. - Yongbaek Cho; Changhoon Kim; Yezhou Yang; Yi Ren (ICASSP, 2022)

CAVAN: Commonsense Knowledge Anchored Video Captioning. - Huiliang Shao; Zhiyuan Fang; Yezhou Yang (ICPR, 2022)

Targeted Attack on Deep RL-based Autonomous Driving with Learned Visual Patterns. - Prasanth Buddareddygari; Travis Zhang; Yezhou Yang; Yi Ren (ICRA, 2022)

Reasoning about Actions over Visual and Linguistic Modalities: A Survey. - Shailaja Keyur Sampat; Maitreya Patel; Subhasish Das; Yezhou Yang; Chitta Baral (CoRR, 2022)

Learning Action-Effect Dynamics from Pairs of Scene-graphs. - Shailaja Keyur Sampat; Pratyay Banerjee; Yezhou Yang; Chitta Baral (CoRR, 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)

A Coulomb Force Inspired Loss Function for High-Performance Pedestrian Detection. - Zhe Wang 013; Jun Wang 041; Yezhou Yang; Junliang Xing (IEEE Signal Process. Lett., 2022)

End-to-end Knowledge Retrieval with Multi-modal Queries. - Man Luo 003; Zhiyuan Fang; Tejas Gokhale; Yezhou Yang; Chitta Baral (ACL (1), 2023)

Adversarial Bayesian Augmentation for Single-Source Domain Generalization. - Sheng Cheng; Tejas Gokhale; Yezhou Yang (ICCV, 2023)

Attributing Image Generative Models using Latent Fingerprints. - Guangyu Nie; Changhoon Kim; Yezhou Yang; Yi Ren (ICML, 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 (ICRA, 2023)

SKoPe3D: A Synthetic Dataset for Vehicle Keypoint Perception in 3D from Traffic Monitoring Cameras. - Himanshu Pahadia; Duo Lu; Bharatesh Chakravarthi; Yezhou Yang (ITSC, 2023)

Improving Diversity with Adversarially Learned Transformations for Domain Generalization. - Tejas Gokhale; Rushil Anirudh; Jayaraman J. Thiagarajan; Bhavya Kailkhura; Chitta Baral; Yezhou Yang (WACV, 2023)

Mole Recruitment: Poisoning of Image Classifiers via Selective Batch Sampling. - Ethan Wisdom; Tejas Gokhale; Chaowei Xiao; Yezhou Yang (CoRR, 2023)

ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models. - Maitreya Patel; Tejas Gokhale; Chitta Baral; Yezhou Yang (AAAI, 2024)

On the Robustness of Language Guidance for Low-Level Vision Tasks: Findings from Depth Estimation. - Agneet Chatterjee; Tejas Gokhale; Chitta Baral; Yezhou Yang (CVPR, 2024)

'Eyes of a Hawk and Ears of a Fox': Part Prototype Network for Generalized Zero-Shot Learning. - Joshua Feinglass; Jayaraman J. Thiagarajan; Rushil Anirudh; T. S. Jayram; Yezhou Yang (CVPR Workshops, 2024)

WOUAF: Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffusion Models. - Changhoon Kim; Kyle Min 001; Maitreya Patel; Sheng Cheng; Yezhou Yang (CVPR, 2024)

Grounding Stylistic Domain Generalization with Quantitative Domain Shift Measures and Synthetic Scene Images. - Yiran Luo 001; Joshua Feinglass; Tejas Gokhale; Kuan-Cheng Lee; Chitta Baral; Yezhou Yang (CVPR Workshops, 2024)

ECLIPSE: A Resource-Efficient Text-to-Image Prior for Image Generations. - Maitreya Patel; Changhoon Kim; Sheng Cheng; Chitta Baral; Yezhou Yang (CVPR, 2024)

eTraM: Event-Based Traffic Monitoring Dataset. - Aayush Atul Verma; Bharatesh Chakravarthi; Arpitsinh Vaghela; Hua Wei 001; Yezhou Yang (CVPR, 2024)

Evaluating Multimodal Large Language Models across Distribution Shifts and Augmentations. - 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 (CVPR Workshops, 2024)

Recent Event Camera Innovations: A Survey. - Bharatesh Chakravarthi; Aayush Atul Verma; Kostas Daniilidis; Cornelia Fermüller; Yezhou Yang (ECCV Workshops (24), 2024)

REVISION: Rendering Tools Enable Spatial Fidelity in Vision-Language Models. - Agneet Chatterjee; Yiran Luo 001; Tejas Gokhale; Yezhou Yang; Chitta Baral (ECCV (30), 2024)

Getting it Right: Improving Spatial Consistency in Text-to-Image Models. - Agneet Chatterjee; Gabriela Ben Melech Stan; Estelle Aflalo; Sayak Paul; Dhruba Ghosh; Tejas Gokhale; Ludwig Schmidt; Hannaneh Hajishirzi; Vasudev Lal; Chitta Baral; Yezhou Yang (ECCV (22), 2024)

R.A.C.E. : Robust Adversarial Concept Erasure for Secure Text-to-Image Diffusion Model. - Changhoon Kim; Kyle Min 001; Yezhou Yang (ECCV (83), 2024)

Precision or Recall? An Analysis of Image Captions for Training Text-to-Image Generation Model. - Sheng Cheng; Maitreya Patel; Yezhou Yang (EMNLP (Findings), 2024)

TROPE: TRaining-Free Object-Part Enhancement for Seamlessly Improving Fine-Grained Zero-Shot Image Captioning. - Joshua Feinglass; Yezhou Yang (EMNLP (Findings), 2024)

SynTraC: A Synthetic Dataset for Traffic Signal Control from Traffic Monitoring Cameras. - Tiejin Chen; Prithvi Shirke; Bharatesh Chakravarthi; Arpitsinh Vaghela; Longchao Da; Duo Lu; Yezhou Yang; Hua Wei 001 (ITSC, 2024)

Lost in Translation? Translation Errors and Challenges for Fair Assessment of Text-to-Image Models on Multilingual Concepts. - Michael Saxon; Yiran Luo 001; Sharon Levy; Chitta Baral; Yezhou Yang; William Yang Wang (NAACL (Short Papers), 2024)

TripletCLIP: Improving Compositional Reasoning of CLIP via Synthetic Vision-Language Negatives. - Maitreya Patel; Abhiram Kusumba; Sheng Cheng; Changhoon Kim; Tejas Gokhale; Chitta Baral; Yezhou Yang (NeurIPS, 2024)

Towards Addressing the Misalignment of Object Proposal Evaluation for Vision-Language Tasks via Semantic Grounding. - Joshua Feinglass; Yezhou Yang (WACV, 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)

SEVD: Synthetic Event-based Vision Dataset for Ego and Fixed Traffic Perception. - Manideep Reddy Aliminati; Bharatesh Chakravarthi; Aayush Atul Verma; Arpitsinh Vaghela; Hua Wei 001; Xuesong Zhou; Yezhou Yang (CoRR, 2024)

Roundabout Dilemma Zone Data Mining and Forecasting with Trajectory Prediction and Graph Neural Networks. - Manthan Chelenahalli Satish; Duo Lu; Bharatesh Chakravarthi; Mohammad Farhadi; Yezhou Yang (CoRR, 2024)

Help Me Identify: Is an LLM+VQA System All We Need to Identify Visual Concepts? - Shailaja Keyur Sampat; Maitreya Patel; Yezhou Yang; Chitta Baral (CoRR, 2024)

ActionCOMET: A Zero-shot Approach to Learn Image-specific Commonsense Concepts about Actions. - Shailaja Keyur Sampat; Yezhou Yang; Chitta Baral (CoRR, 2024)

VL-GLUE: A Suite of Fundamental yet Challenging Visuo-Linguistic Reasoning Tasks. - Shailaja Keyur Sampat; Mutsumi Nakamura; Shankar Kailas; Kartik Aggarwal; Mandy Zhou; Yezhou Yang; Chitta Baral (CoRR, 2024)

Steering Rectified Flow Models in the Vector Field for Controlled Image Generation. - Maitreya Patel; Song Wen 001; Dimitris N. Metaxas; Yezhou Yang (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 (Trans. Mach. Learn. Res., 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., 2024)

Segment Anything Model Can Not Segment Anything: Assessing AI Foundation Model's Generalizability in Permafrost Mapping. - Wenwen Li 002; Chia-Yu Hsu 001; Sizhe Wang; Yezhou Yang; Hyunho Lee; Anna Liljedahl; Chandi Witharana; Yili Yang; Brendan M. Rogers; Samantha T. Arundel; Matthew B. Jones; Kenton McHenry; et al. (Remote. Sens., 2024)

Open-ti: open traffic intelligence with augmented language model. - Longchao Da; Kuanru Liou; Tiejin Chen; Xuesong Zhou; Xiangyong Luo; Yezhou Yang; Hua Wei 001 (Int. J. Mach. Learn. Cybern., 2024)

Event Quality Score (EQS): Assessing the Realism of Simulated Event Camera Streams via Distance in Latent Space. - Kaustav Chanda; Aayush Atul Verma; Arpitsinh Vaghela; Yezhou Yang; Bharatesh Chakravarthi (CVPR Workshops, 2025)

TextInVision: Text and Prompt Complexity Driven Visual Text Generation Benchmark. - Forouzan Fallah; Maitreya Patel; Agneet Chatterjee; Vlad I. Morariu; Chitta Baral; Yezhou Yang (CVPR Workshops, 2025)

VOILA: Evaluation of MLLMs For Perceptual Understanding and Analogical Reasoning. - Nilay Yilmaz; Maitreya Patel; Yiran Lawrence Luo; Tejas Gokhale; Chitta Baral; Suren Jayasuriya; Yezhou Yang (ICLR, 2025)

Debiasing Global Workspace: A Cognitive Neural Framework for Learning Debiased and Interpretable Representations. - Jinyung Hong; Eun Som Jeon; Changhoon Kim; Keun Hee Park; Utkarsh Nath; Yezhou Yang; Pavan K. Turaga; Theodore P. Pavlic (UniReps, 2025)

Deep Geometric Moments Promote Shape Consistency in Text-to-3D Generation. - Utkarsh Nath; Rajeev Goel; Eun Som Jeon; Changhoon Kim; Kyle Min 001; Yezhou Yang; Yingzhen Yang; Pavan K. Turaga (WACV, 2025)

Latent Space Energy-based Neural ODEs. - Sheng Cheng; Deqian Kong; Jianwen Xie; Kookjin Lee; Ying Nian Wu; Yezhou Yang (Trans. Mach. Learn. Res., 2025)

Dual Caption Preference Optimization for Diffusion Models. - Amir Saeidi; Yiran Luo 001; Agneet Chatterjee; Shamanthak Hegde; Bimsara Pathiraja; Yezhou Yang; Chitta Baral (CoRR, 2025)

MC-BEVRO: Multi-Camera Bird Eye View Road Occupancy Detection for Traffic Monitoring. - Arpitsinh Vaghela; Duo Lu; Aayush Atul Verma; Bharatesh Chakravarthi; Hua Wei 001; Yezhou Yang (CoRR, 2025)

Biomedical Foundation Model: A Survey. - Xiangrui Liu; Yuanyuan Zhang; Yingzhou Lu; Changchang Yin; Xiaoling Hu; Xiaoou Liu; Lulu Chen; Sheng Wang; Alexander Rodriguez; Huaxiu Yao; Yezhou Yang; Ping Zhang 016; et al. (CoRR, 2025)

Generative AI in Transportation Planning: A Survey. - Longchao Da; Tiejin Chen; Zhuoheng Li; Shreyas Bachiraju; Huaiyuan Yao; Li Li 006; Yushun Dong; Xiyang Hu; Zhengzhong Tu; Dongjie Wang; Yue Zhao 016; Xuanyu Zhou; et al. (CoRR, 2025)

Enhanced Cooperative Perception Through Asynchronous Vehicle to Infrastructure Framework with Delay Mitigation for Connected and Automated Vehicles. - Nithish Kumar Saravanan; Varun Chandra Jammula; Yezhou Yang; Jeffrey Wishart; Junfeng Zhao (CoRR, 2025)

Event Quality Score (EQS): Assessing the Realism of Simulated Event Camera Streams via Distances in Latent Space. - Kaustav Chanda; Aayush Atul Verma; Arpitsinh Vaghela; Yezhou Yang; Bharatesh Chakravarthi (CoRR, 2025)

Guiding Diffusion with Deep Geometric Moments: Balancing Fidelity and Variation. - Sangmin Jung; Utkarsh Nath; Yezhou Yang; Giulia Pedrielli; Joydeep Biswas; Amy Zhang 001; Hassan Ghasemzadeh 001; Pavan K. Turaga (CoRR, 2025)

RefEdit: A Benchmark and Method for Improving Instruction-based Image Editing Model on Referring Expressions. - Bimsara Pathiraja; Maitreya Patel; Shivam Singh; Yezhou Yang; Chitta Baral (CoRR, 2025)

VOCAL: Visual Odometry via ContrAstive Learning. - Chi-Yao Huang; Zeel Bhatt; Yezhou Yang (CoRR, 2025)

Towards a Psychoanalytic Perspective on VLM Behaviour: A First-step Interpretation with Intriguing Observations. - Xiangrui Liu; Man Luo; Agneet Chatterjee; Hua Wei; Yezhou Yang (CoRR, 2025)

SEPose: A Synthetic Event-based Human Pose Estimation Dataset for Pedestrian Monitoring. - Kaustav Chanda; Aayush Atul Verma; Arpitsinh Vaghela; Yezhou Yang; Bharatesh Chakravarthi (CoRR, 2025)

DeepShade: Enable Shade Simulation by Text-conditioned Image Generation. - Longchao Da; Xiangrui Liu; Mithun Shivakoti; Thirulogasankar Pranav Kutralingam; Yezhou Yang; Hua Wei 001 (CoRR, 2025)

InterAct-Video: Reasoning-Rich Video QA for Urban Traffic. - Joseph Raj Vishal; Rutuja Patil; Manas Srinivas Gowda; Katha Naik; Yezhou Yang; Bharatesh Chakravarthi (CoRR, 2025)

Event-based Graph Representation with Spatial and Motion Vectors for Asynchronous Object Detection. - Aayush Atul Verma; Arpitsinh Vaghela; Bharatesh Chakravarthi; Kaustav Chanda; Yezhou Yang (CoRR, 2025)