Combining classifiers for multisensor data fusion. - Devi Parikh; Min T. Kim; Joseph Oagaro; Shreekanth Mandayam; Robi Polikar (SMC (2), 2004)

Unsupervised Identification of Multiple Objects of Interest from Multiple Images: dISCOVER. - Devi Parikh; Tsuhan Chen (ACCV (2), 2007)

Unsupervised Learning of Hierarchical Semantics of Objects (hSOs). - Devi Parikh; Tsuhan Chen (CVPR, 2007)

Hierarchical Semantics of Objects (hSOs). - Devi Parikh; Tsuhan Chen (ICCV, 2007)

Feature-based Part Retrieval for Interactive 3D Reassembly. - Devi Parikh; Rahul Sukthankar; Tsuhan Chen; Mei Chen (WACV, 2007)

An Ensemble-Based Incremental Learning Approach to Data Fusion. - Devi Parikh; Robi Polikar (IEEE Trans. Syst. Man Cybern. Part B, 2007)

From appearance to context-based recognition: Dense labeling in small images. - Devi Parikh; C. Lawrence Zitnick; Tsuhan Chen (CVPR, 2008)

Determining Patch Saliency Using Low-Level Context. - Devi Parikh; C. Lawrence Zitnick; Tsuhan Chen (ECCV (2), 2008)

Bringing diverse classifiers to common grounds: dtransform. - Devi Parikh; Tsuhan Chen (ICASSP, 2008)

Localization and Segmentation of A 2D High Capacity Color Barcode. - Devi Parikh; Gavin Jancke (WACV, 2008)

An ensemble based data fusion approach for early diagnosis of Alzheimer's disease. - Robi Polikar; Apostolos Topalis; Devi Parikh; Deborah Green; Jennifer Frymiare; John Kounios; Christopher M. Clark (Inf. Fusion, 2008)

Data Fusion and Cost Minimization for Intrusion Detection. - Devi Parikh; Tsuhan Chen (IEEE Trans. Inf. Forensics Secur., 2008)

Cutout-search: Putting a name to the picture. - Dhruv Batra; Adarsh Kowdle; Devi Parikh; Tsuhan Chen (CVPR Workshops, 2009)

Unsupervised learning of hierarchical spatial structures in images. - Devi Parikh; C. Lawrence Zitnick; Tsuhan Chen (CVPR, 2009)

Seed Image Selection in interactive cosegmentation. - Dhruv Batra; Devi Parikh; Adarsh Kowdle; Tsuhan Chen; Jiebo Luo 001 (ICIP, 2009)

Semi-supervised co-training and active learning based approach for multi-view intrusion detection. - Ching-Hao Mao; Hahn-Ming Lee; Devi Parikh; Tsuhan Chen; Si-Yu Huang (SAC, 2009)

Unsupervised Modeling of Objects and Their Hierarchical Contextual Interactions. - Devi Parikh; Tsuhan Chen (EURASIP J. Image Video Process., 2009)

Beyond trees: MRF inference via outer-planar decomposition. - Dhruv Batra; Andrew C. Gallagher; Devi Parikh; Tsuhan Chen (CVPR, 2010)

iCoseg: Interactive co-segmentation with intelligent scribble guidance. - Dhruv Batra; Adarsh Kowdle; Devi Parikh; Jiebo Luo 001; Tsuhan Chen (CVPR, 2010)

The role of features, algorithms and data in visual recognition. - Devi Parikh; C. Lawrence Zitnick (CVPR, 2010)

Inference for order reduction in Markov random fields. - Andrew C. Gallagher; Dhruv Batra; Devi Parikh (CVPR, 2011)

Interactively building a discriminative vocabulary of nameable attributes. - Devi Parikh; Kristen Grauman (CVPR, 2011)

Finding the weakest link in person detectors. - Devi Parikh; C. Lawrence Zitnick (CVPR, 2011)

Extracting adaptive contextual cues from unlabeled regions. - Congcong Li; Devi Parikh; Tsuhan Chen (ICCV, 2011)

Recognizing jumbled images: The role of local and global information in image classification. - Devi Parikh (ICCV, 2011)

Relative attributes. - Devi Parikh; Kristen Grauman (ICCV, 2011)

Understanding the Intrinsic Memorability of Images. - Phillip Isola; Devi Parikh; Antonio Torralba 001; Aude Oliva (NIPS, 2011)

Interactively Co-segmentating Topically Related Images with Intelligent Scribble Guidance. - Dhruv Batra; Adarsh Kowdle; Devi Parikh; Jiebo Luo 001; Tsuhan Chen (Int. J. Comput. Vis., 2011)

Interactive Co-segmentation of Objects in Image Collections. - Dhruv Batra; Adarsh Kowdle; Devi Parikh; Jiebo Luo 001; Tsuhan Chen (Springer, 2011)

Relative Attributes for Enhanced Human-Machine Communication. - Devi Parikh; Adriana Kovashka; Amar Parkash; Kristen Grauman (AAAI, 2012)

Discovering localized attributes for fine-grained recognition. - Kun Duan; Devi Parikh; David J. Crandall; Kristen Grauman (CVPR, 2012)

WhittleSearch: Image search with relative attribute feedback. - Adriana Kovashka; Devi Parikh; Kristen Grauman (CVPR, 2012)

Automatic discovery of groups of objects for scene understanding. - Congcong Li; Devi Parikh; Tsuhan Chen (CVPR, 2012)

The role of image understanding in contour detection. - C. Lawrence Zitnick; Devi Parikh (CVPR, 2012)

Attributes for Classifier Feedback. - Amar Parkash; Devi Parikh (ECCV (3), 2012)

Exploring Tiny Images: The Roles of Appearance and Contextual Information for Machine and Human Object Recognition. - Devi Parikh; C. Lawrence Zitnick; Tsuhan Chen (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Improving the quality of speech in noisy environments. - Devi Parikh (2012)

Visual attributes for enhanced human-machine communication. - Devi Parikh (Allerton, 2013)

Simultaneous Active Learning of Classifiers & Attributes via Relative Feedback. - Arijit Biswas; Devi Parikh (CVPR, 2013)

Analyzing Semantic Segmentation Using Hybrid Human-Machine CRFs. - Roozbeh Mottaghi; Sanja Fidler; Jian Yao; Raquel Urtasun; Devi Parikh (CVPR, 2013)

Multi-attribute Queries: To Merge or Not to Merge? - Mohammad Rastegari; Ali Diba; Devi Parikh; Ali Farhadi (CVPR, 2013)

Bringing Semantics into Focus Using Visual Abstraction. - C. Lawrence Zitnick; Devi Parikh (CVPR, 2013)

Implied Feedback: Learning Nuances of User Behavior in Image Search. - Devi Parikh; Kristen Grauman (ICCV, 2013)

Spoken Attributes: Mixing Binary and Relative Attributes to Say the Right Thing. - Amir Sadovnik; Andrew C. Gallagher; Devi Parikh; Tsuhan Chen (ICCV, 2013)

Attribute Dominance: What Pops Out? - Naman Turakhia; Devi Parikh (ICCV, 2013)

Learning the Visual Interpretation of Sentences. - C. Lawrence Zitnick; Devi Parikh; Lucy Vanderwende (ICCV, 2013)

Which Edges Matter? - Aayush Bansal; Adarsh Kowdle; Devi Parikh; Andrew C. Gallagher; Larry Zitnick (ICCV Workshops, 2013)

Predicting User Annoyance Using Visual Attributes. - Gordon A. Christie; Amar Parkash; Ujwal Krothapalli; Devi Parikh (CVPR, 2014)

Predicting Failures of Vision Systems. - Peng Zhang 023; Jiuling Wang; Ali Farhadi; Martial Hebert; Devi Parikh (CVPR, 2014)

Zero-Shot Learning via Visual Abstraction. - Stanislaw Antol; C. Lawrence Zitnick; Devi Parikh (ECCV (4), 2014)

Towards Transparent Systems: Semantic Characterization of Failure Modes. - Aayush Bansal; Ali Farhadi; Devi Parikh (ECCV (6), 2014)

Interactively Guiding Semi-Supervised Clustering via Attribute-Based Explanations. - Shrenik Lad; Devi Parikh (ECCV (6), 2014)

Human-Machine CRFs for Identifying Bottlenecks in Holistic Scene Understanding. - Roozbeh Mottaghi; Sanja Fidler; Alan L. Yuille; Raquel Urtasun; Devi Parikh (CoRR, 2014)

Collecting Image Description Datasets using Crowdsourcing. - Ramakrishna Vedantam; C. Lawrence Zitnick; Devi Parikh (CoRR, 2014)

What Makes a Photograph Memorable? - Phillip Isola; Jianxiong Xiao; Devi Parikh; Antonio Torralba 001; Aude Oliva (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Understanding image virality. - Arturo Deza; Devi Parikh (CVPR, 2015)

Image specificity. - Mainak Jas; Devi Parikh (CVPR, 2015)

Don't just listen, use your imagination: Leveraging visual common sense for non-visual tasks. - Xiao Lin; Devi Parikh (CVPR, 2015)

CIDEr: Consensus-based image description evaluation. - Ramakrishna Vedantam; C. Lawrence Zitnick; Devi Parikh (CVPR, 2015)

VQA: Visual Question Answering. - Stanislaw Antol; Aishwarya Agrawal; Jiasen Lu; Margaret Mitchell; Dhruv Batra; C. Lawrence Zitnick; Devi Parikh (ICCV, 2015)

Learning Common Sense through Visual Abstraction. - Ramakrishna Vedantam; Xiao Lin; Tanmay Batra; C. Lawrence Zitnick; Devi Parikh (ICCV, 2015)

Semantic classification of spacecraft's status: integrating system intelligence and human knowledge. - Mayu Sakurada; Takehisa Yairi; Yuta Nakajima; Naoki Nishimura; Devi Parikh (ICSC, 2015)

Visual Word2Vec (vis-w2v): Learning Visually Grounded Word Embeddings Using Abstract Scenes. - Satwik Kottur; Ramakrishna Vedantam; José M. F. Moura; Devi Parikh (CoRR, 2015)

WhittleSearch: Interactive Image Search with Relative Attribute Feedback. - Adriana Kovashka; Devi Parikh; Kristen Grauman (Int. J. Comput. Vis., 2015)

We are Humor Beings: Understanding and Predicting Visual Humor. - Arjun Chandrasekaran; Ashwin K. Vijayakumar; Stanislaw Antol; Mohit Bansal; Dhruv Batra; C. Lawrence Zitnick; Devi Parikh (CVPR, 2016)

VisualWord2Vec (Vis-W2V): Learning Visually Grounded Word Embeddings Using Abstract Scenes. - Satwik Kottur; Ramakrishna Vedantam; José M. F. Moura; Devi Parikh (CVPR, 2016)

Joint Unsupervised Learning of Deep Representations and Image Clusters. - Jianwei Yang; Devi Parikh; Dhruv Batra (CVPR, 2016)

Yin and Yang: Balancing and Answering Binary Visual Questions. - Peng Zhang 023; Yash Goyal; Douglas Summers-Stay; Dhruv Batra; Devi Parikh (CVPR, 2016)

Deep Learning the City: Quantifying Urban Perception at a Global Scale. - Abhimanyu Dubey; Nikhil Naik 003; Devi Parikh; Ramesh Raskar; César A. Hidalgo 001 (ECCV (1), 2016)

Leveraging Visual Question Answering for Image-Caption Ranking. - Xiao Lin; Devi Parikh (ECCV (2), 2016)

Analyzing the Behavior of Visual Question Answering Models. - Aishwarya Agrawal; Dhruv Batra; Devi Parikh (EMNLP, 2016)

Sort Story: Sorting Jumbled Images and Captions into Stories. - Harsh Agrawal; Arjun Chandrasekaran; Dhruv Batra; Devi Parikh; Mohit Bansal (EMNLP, 2016)

Question Relevance in VQA: Identifying Non-Visual And False-Premise Questions. - Arijit Ray; Gordon A. Christie; Mohit Bansal; Dhruv Batra; Devi Parikh (EMNLP, 2016)

Knowing who to listen to: Prioritizing experts from a diverse ensemble for attribute personalization. - Shrenik Lad; Bernardino Romera-Paredes; Julien P. C. Valentin; Philip H. S. Torr; Devi Parikh (ICIP, 2016)

Visual Storytelling. - Ting-Hao (Kenneth) Huang; Francis Ferraro; Nasrin Mostafazadeh; Ishan Misra; Aishwarya Agrawal; Jacob Devlin; Ross B. Girshick; Xiaodong He 001; Pushmeet Kohli; Dhruv Batra; C. Lawrence Zitnick; Devi Parikh; et al. (HLT-NAACL, 2016)

A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories. - Nasrin Mostafazadeh; Nathanael Chambers; Xiaodong He 001; Devi Parikh; Dhruv Batra; Lucy Vanderwende; Pushmeet Kohli; James F. Allen (HLT-NAACL, 2016)

Hierarchical Question-Image Co-Attention for Visual Question Answering. - Jiasen Lu; Jianwei Yang; Dhruv Batra; Devi Parikh (NIPS, 2016)

Measuring Machine Intelligence Through Visual Question Answering. - C. Lawrence Zitnick; Aishwarya Agrawal; Stanislaw Antol; Margaret Mitchell; Dhruv Batra; Devi Parikh (AI Mag., 2016)

Interpreting Visual Question Answering Models. - Yash Goyal; Akrit Mohapatra; Devi Parikh; Dhruv Batra (CoRR, 2016)

A Corpus and Evaluation Framework for Deeper Understanding of Commonsense Stories. - Nasrin Mostafazadeh; Nathanael Chambers; Xiaodong He 001; Devi Parikh; Dhruv Batra; Lucy Vanderwende; Pushmeet Kohli; James F. Allen (CoRR, 2016)

Grad-CAM: Why did you say that? Visual Explanations from Deep Networks via Gradient-based Localization. - Ramprasaath R. Selvaraju; Abhishek Das; Ramakrishna Vedantam; Michael Cogswell; Devi Parikh; Dhruv Batra (CoRR, 2016)

Grad-CAM: Why did you say that? - Ramprasaath R. Selvaraju; Abhishek Das; Ramakrishna Vedantam; Michael Cogswell; Devi Parikh; Dhruv Batra (CoRR, 2016)

Human-Machine CRFs for Identifying Bottlenecks in Scene Understanding. - Roozbeh Mottaghi; Sanja Fidler; Alan L. Yuille; Raquel Urtasun; Devi Parikh (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Adopting Abstract Images for Semantic Scene Understanding. - C. Lawrence Zitnick; Ramakrishna Vedantam; Devi Parikh (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Counting Everyday Objects in Everyday Scenes. - Prithvijit Chattopadhyay; Ramakrishna Vedantam; Ramprasaath R. Selvaraju; Dhruv Batra; Devi Parikh (CVPR, 2017)

Visual Dialog. - Abhishek Das; Satwik Kottur; Khushi Gupta; Avi Singh; Deshraj Yadav; José M. F. Moura; Devi Parikh; Dhruv Batra (CVPR, 2017)

Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering. - Yash Goyal; Tejas Khot; Douglas Summers-Stay; Dhruv Batra; Devi Parikh (CVPR, 2017)

Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning. - Jiasen Lu; Caiming Xiong; Devi Parikh; Richard Socher (CVPR, 2017)

Context-Aware Captions from Context-Agnostic Supervision. - Ramakrishna Vedantam; Samy Bengio; Kevin Murphy 002; Devi Parikh; Gal Chechik (CVPR, 2017)

Deal or No Deal? End-to-End Learning of Negotiation Dialogues. - Mike Lewis; Denis Yarats; Yann N. Dauphin; Devi Parikh; Dhruv Batra (EMNLP, 2017)

ParlAI: A Dialog Research Software Platform. - Alexander H. Miller; Will Feng; Dhruv Batra; Antoine Bordes; Adam Fisch; Jiasen Lu; Devi Parikh; Jason Weston (EMNLP (System Demonstrations), 2017)

Sound-Word2Vec: Learning Word Representations Grounded in Sounds. - Ashwin K. Vijayakumar; Ramakrishna Vedantam; Devi Parikh (EMNLP, 2017)

Evaluating Visual Conversational Agents via Cooperative Human-AI Games. - Prithvijit Chattopadhyay; Deshraj Yadav; Viraj Prabhu; Arjun Chandrasekaran; Abhishek Das; Stefan Lee; Dhruv Batra; Devi Parikh (HCOMP, 2017)

LR-GAN: Layered Recursive Generative Adversarial Networks for Image Generation. - Jianwei Yang; Anitha Kannan; Dhruv Batra; Devi Parikh (ICLR (Poster), 2017)

Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model. - Jiasen Lu; Anitha Kannan; Jianwei Yang; Devi Parikh; Dhruv Batra (NIPS, 2017)

C-VQA: A Compositional Split of the Visual Question Answering (VQA) v1.0 Dataset. - Aishwarya Agrawal; Aniruddha Kembhavi; Dhruv Batra; Devi Parikh (CoRR, 2017)

Cooperative Learning with Visual Attributes. - Tanmay Batra; Devi Parikh (CoRR, 2017)

It Takes Two to Tango: Towards Theory of AI's Mind. - Arjun Chandrasekaran; Deshraj Yadav; Prithvijit Chattopadhyay; Viraj Prabhu; Devi Parikh (CoRR, 2017)

Active Learning for Visual Question Answering: An Empirical Study. - Xiao Lin; Devi Parikh (CoRR, 2017)

CoDraw: Visual Dialog for Collaborative Drawing. - Jin-Hwa Kim; Devi Parikh; Dhruv Batra; Byoung-Tak Zhang; Yuandong Tian (CoRR, 2017)

Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions? - Abhishek Das; Harsh Agrawal; Larry Zitnick; Devi Parikh; Dhruv Batra (Comput. Vis. Image Underst., 2017)

VQA: Visual Question Answering - www.visualqa.org. - Aishwarya Agrawal; Jiasen Lu; Stanislaw Antol; Margaret Mitchell; C. Lawrence Zitnick; Devi Parikh; Dhruv Batra (Int. J. Comput. Vis., 2017)

Neural Modular Control for Embodied Question Answering. - Abhishek Das; Georgia Gkioxari; Stefan Lee; Devi Parikh; Dhruv Batra (CoRL, 2018)

Visual Curiosity: Learning to Ask Questions to Learn Visual Recognition. - Jianwei Yang; Jiasen Lu; Stefan Lee; Dhruv Batra; Devi Parikh (CoRL, 2018)

Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering. - Aishwarya Agrawal; Dhruv Batra; Devi Parikh; Aniruddha Kembhavi (CVPR, 2018)

Embodied Question Answering. - Abhishek Das; Samyak Datta; Georgia Gkioxari; Stefan Lee; Devi Parikh; Dhruv Batra (CVPR Workshops, 2018)

Neural Baby Talk. - Jiasen Lu; Jianwei Yang; Dhruv Batra; Devi Parikh (CVPR, 2018)

Visual Coreference Resolution in Visual Dialog Using Neural Module Networks. - Satwik Kottur; José M. F. Moura; Devi Parikh; Dhruv Batra; Marcus Rohrbach (ECCV (15), 2018)

Choose Your Neuron: Incorporating Domain Knowledge Through Neuron-Importance. - Ramprasaath R. Selvaraju; Prithvijit Chattopadhyay; Mohamed Elhoseiny; Tilak Sharma; Dhruv Batra; Devi Parikh; Stefan Lee (ECCV (13), 2018)

Graph R-CNN for Scene Graph Generation. - Jianwei Yang; Jiasen Lu; Stefan Lee; Dhruv Batra; Devi Parikh (ECCV (1), 2018)

Do explanations make VQA models more predictable to a human? - Arjun Chandrasekaran; Viraj Prabhu; Deshraj Yadav; Prithvijit Chattopadhyay; Devi Parikh (EMNLP, 2018)

Punny Captions: Witty Wordplay in Image Descriptions. - Arjun Chandrasekaran; Devi Parikh; Mohit Bansal (NAACL-HLT (2), 2018)

Audio Visual Scene-Aware Dialog (AVSD) Challenge at DSTC7. - Huda AlAmri; Vincent Cartillier; Raphael Gontijo Lopes; Abhishek Das; Jue Wang 010; Irfan Essa; Dhruv Batra; Devi Parikh; Anoop Cherian; Tim K. Marks; Chiori Hori (CoRR, 2018)

Talk the Walk: Navigating New York City through Grounded Dialogue. - Harm de Vries; Kurt Shuster 001; Dhruv Batra; Devi Parikh; Jason Weston; Douwe Kiela (CoRR, 2018)

Pythia v0.1: the Winning Entry to the VQA Challenge 2018. - Yu Jiang; Vivek Natarajan; Xinlei Chen; Marcus Rohrbach; Dhruv Batra; Devi Parikh (CoRR, 2018)

CoDraw: Collaborative Drawing as a Testbed for Grounded Goal-driven Communication. - Jin-Hwa Kim; Nikita Kitaev; Xinlei Chen; Marcus Rohrbach; Byoung-Tak Zhang; Yuandong Tian; Dhruv Batra; Devi Parikh (ACL (1), 2019)

Audio Visual Scene-Aware Dialog. - Huda AlAmri; Vincent Cartillier; Abhishek Das; Jue Wang 010; Anoop Cherian; Irfan Essa; Dhruv Batra; Tim K. Marks; Chiori Hori; Peter Anderson; Stefan Lee; Devi Parikh (CVPR, 2019)

Cycle-Consistency for Robust Visual Question Answering. - Meet Shah 001; Xinlei Chen; Marcus Rohrbach; Devi Parikh (CVPR, 2019)

Towards VQA Models That Can Read. - Amanpreet Singh; Vivek Natarajan; Meet Shah 001; Yu Jiang; Xinlei Chen; Dhruv Batra; Devi Parikh; Marcus Rohrbach (CVPR, 2019)

Embodied Question Answering in Photorealistic Environments With Point Cloud Perception. - Erik Wijmans; Samyak Datta; Oleksandr Maksymets; Abhishek Das; Georgia Gkioxari; Stefan Lee; Irfan Essa; Devi Parikh; Dhruv Batra (CVPR, 2019)

Improving Generative Visual Dialog by Answering Diverse Questions. - Vishvak Murahari; Prithvijit Chattopadhyay; Dhruv Batra; Devi Parikh; Abhishek Das (EMNLP/IJCNLP (1), 2019)

End-to-end Audio Visual Scene-aware Dialog Using Multimodal Attention-based Video Features. - Chiori Hori; Huda AlAmri; Jue Wang 010; Gordon Wichern; Takaaki Hori; Anoop Cherian; Tim K. Marks; Vincent Cartillier; Raphael Gontijo Lopes; Abhishek Das; Irfan Essa; Dhruv Batra; et al. (ICASSP, 2019)

Trick or TReAT : Thematic Reinforcement for Artistic Typography. - Purva Tendulkar; Kalpesh Krishna; Ramprasaath R. Selvaraju; Devi Parikh (ICCC, 2019)

nocaps: novel object captioning at scale. - Harsh Agrawal; Peter Anderson 001; Karan Desai; Yufei Wang 003; Xinlei Chen; Rishabh Jain; Mark Johnson 001; Dhruv Batra; Devi Parikh; Stefan Lee (ICCV, 2019)

Align2Ground: Weakly Supervised Phrase Grounding Guided by Image-Caption Alignment. - Samyak Datta; Karan Sikka; Anirban Roy; Karuna Ahuja; Devi Parikh; Ajay Divakaran (ICCV, 2019)

SplitNet: Sim2Sim and Task2Task Transfer for Embodied Visual Navigation. - Daniel Gordon; Abhishek Kadian; Devi Parikh; Judy Hoffman; Dhruv Batra (ICCV, 2019)

Fashion++: Minimal Edits for Outfit Improvement. - Wei-Lin Hsiao; Isay Katsman; Chao-Yuan Wu; Devi Parikh; Kristen Grauman (ICCV, 2019)

Habitat: A Platform for Embodied AI Research. - Manolis Savva; Jitendra Malik; Devi Parikh; Dhruv Batra; Abhishek Kadian; Oleksandr Maksymets; Yili Zhao; Erik Wijmans; Bhavana Jain; Julian Straub; Jia Liu; Vladlen Koltun (ICCV, 2019)

Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded. - Ramprasaath Ramasamy Selvaraju; Stefan Lee; Yilin Shen; Hongxia Jin; Shalini Ghosh; Larry P. Heck; Dhruv Batra; Devi Parikh (ICCV, 2019)

Embodied Amodal Recognition: Learning to Move to Perceive Objects. - Jianwei Yang; Zhile Ren; Mingze Xu; Xinlei Chen; David J. Crandall; Devi Parikh; Dhruv Batra (ICCV, 2019)

Modeling the Long Term Future in Model-Based Reinforcement Learning. - Nan Rosemary Ke; Amanpreet Singh; Ahmed Touati; Anirudh Goyal; Yoshua Bengio; Devi Parikh; Dhruv Batra (ICLR (Poster), 2019)

TarMAC: Targeted Multi-Agent Communication. - Abhishek Das; Théophile Gervet; Joshua Romoff; Dhruv Batra; Devi Parikh; Mike Rabbat; Joelle Pineau (ICML, 2019)

Counterfactual Visual Explanations. - Yash Goyal; Ziyan Wu; Jan Ernst; Dhruv Batra; Devi Parikh; Stefan Lee (ICML, 2019)

Probabilistic Neural Symbolic Models for Interpretable Visual Question Answering. - Ramakrishna Vedantam; Karan Desai; Stefan Lee; Marcus Rohrbach; Dhruv Batra; Devi Parikh (ICML, 2019)

CLEVR-Dialog: A Diagnostic Dataset for Multi-Round Reasoning in Visual Dialog. - Satwik Kottur; José M. F. Moura; Devi Parikh; Dhruv Batra; Marcus Rohrbach (NAACL-HLT (1), 2019)

Chasing Ghosts: Instruction Following as Bayesian State Tracking. - Peter Anderson; Ayush Shrivastava; Devi Parikh; Dhruv Batra; Stefan Lee (NeurIPS, 2019)

RUBi: Reducing Unimodal Biases for Visual Question Answering. - Rémi Cadène; Corentin Dancette; Hédi Ben-Younes; Matthieu Cord; Devi Parikh (NeurIPS, 2019)

ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks. - Jiasen Lu; Dhruv Batra; Devi Parikh; Stefan Lee (NeurIPS, 2019)

Cross-channel Communication Networks. - Jianwei Yang; Zhile Ren; Chuang Gan 001; Hongyuan Zhu; Devi Parikh (NeurIPS, 2019)

Dialog System Technology Challenge 7. - Koichiro Yoshino; Chiori Hori; Julien Perez; Luis Fernando D'Haro; Lazaros Polymenakos; R. Chulaka Gunasekara; Walter S. Lasecki; Jonathan K. Kummerfeld; Michel Galley; Chris Brockett; Jianfeng Gao 001; Bill Dolan; et al. (CoRR, 2019)

Response to "Visual Dialogue without Vision or Dialogue" (Massiceti et al., 2018). - Abhishek Das; Devi Parikh; Dhruv Batra (CoRR, 2019)

Taking a HINT: Leveraging Explanations to Make Vision and Language Models More Grounded. - Ramprasaath R. Selvaraju; Stefan Lee; Yilin Shen; Hongxia Jin; Dhruv Batra; Devi Parikh (CoRR, 2019)

Learning Dynamics Model in Reinforcement Learning by Incorporating the Long Term Future. - Nan Rosemary Ke; Amanpreet Singh; Ahmed Touati; Anirudh Goyal; Yoshua Bengio; Devi Parikh; Dhruv Batra (CoRR, 2019)

Lemotif: Abstract Visual Depictions of your Emotional States in Life. - Devi Parikh (CoRR, 2019)

Embodied Visual Recognition. - Jianwei Yang; Zhile Ren; Mingze Xu; Xinlei Chen; David J. Crandall; Devi Parikh; Dhruv Batra (CoRR, 2019)

Emergence of Compositional Language with Deep Generational Transmission. - Michael Cogswell; Jiasen Lu; Stefan Lee; Devi Parikh; Dhruv Batra (CoRR, 2019)

Unsupervised Discovery of Decision States for Transfer in Reinforcement Learning. - Nirbhay Modhe; Prithvijit Chattopadhyay; Mohit Sharma; Abhishek Das; Devi Parikh; Dhruv Batra; Ramakrishna Vedantam (CoRR, 2019)

Decentralized Distributed PPO: Solving PointGoal Navigation. - Erik Wijmans; Abhishek Kadian; Ari Morcos; Stefan Lee; Irfan Essa; Devi Parikh; Manolis Savva; Dhruv Batra (CoRR, 2019)

Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering. - Yash Goyal; Tejas Khot; Aishwarya Agrawal; Douglas Summers-Stay; Dhruv Batra; Devi Parikh (Int. J. Comput. Vis., 2019)

Visual Dialog. - Abhishek Das; Satwik Kottur; Khushi Gupta; Avi Singh; Deshraj Yadav; Stefan Lee; José M. F. Moura; Devi Parikh; Dhruv Batra (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Sim-to-Real Transfer for Vision-and-Language Navigation. - Peter Anderson; Ayush Shrivastava; Joanne Truong; Arjun Majumdar; Devi Parikh; Dhruv Batra; Stefan Lee (CoRL, 2020)

Integrating Egocentric Localization for More Realistic Point-Goal Navigation Agents. - Samyak Datta; Oleksandr Maksymets; Judy Hoffman; Stefan Lee; Dhruv Batra; Devi Parikh (CoRL, 2020)

12-in-1: Multi-Task Vision and Language Representation Learning. - Jiasen Lu; Vedanuj Goswami; Marcus Rohrbach; Devi Parikh; Stefan Lee (CVPR, 2020)

SQuINTing at VQA Models: Introspecting VQA Models With Sub-Questions. - Ramprasaath R. Selvaraju; Purva Tendulkar; Devi Parikh; Eric Horvitz; Marco Túlio Ribeiro; Besmira Nushi; Ece Kamar (CVPR, 2020)

Spatially Aware Multimodal Transformers for TextVQA. - Yash Kant; Dhruv Batra; Peter Anderson; Alexander G. Schwing; Devi Parikh; Jiasen Lu; Harsh Agrawal (ECCV (9), 2020)

Improving Vision-and-Language Navigation with Image-Text Pairs from the Web. - Arjun Majumdar; Ayush Shrivastava; Stefan Lee; Peter Anderson; Devi Parikh; Dhruv Batra (ECCV (6), 2020)

Large-Scale Pretraining for Visual Dialog: A Simple State-of-the-Art Baseline. - Vishvak Murahari; Dhruv Batra; Devi Parikh; Abhishek Das (ECCV (18), 2020)

Seeing the Un-Scene: Learning Amodal Semantic Maps for Room Navigation. - Medhini Narasimhan; Erik Wijmans; Xinlei Chen; Trevor Darrell; Dhruv Batra; Devi Parikh; Amanpreet Singh (ECCV (18), 2020)

Where Are You? Localization from Embodied Dialog. - Meera Hahn; Jacob Krantz; Dhruv Batra; Devi Parikh; James M. Rehg; Stefan Lee; Peter Anderson (EMNLP (1), 2020)

Neuro-Symbolic Generative Art: A Preliminary Study. - Gunjan Aggarwal; Devi Parikh (ICCC, 2020)

Lemotif: An Affective Visual Journal Using Deep Neural Networks. - X. Alice Li; Devi Parikh (ICCC, 2020)

Predicting A Creator's Preferences In, and From, Interactive Generative Art. - Devi Parikh (ICCC, 2020)

Exploring Crowd Co-creation Scenarios for Sketches. - Devi Parikh; C. Lawrence Zitnick (ICCC, 2020)

Feel The Music: Automatically Generating A Dance For An Input Song. - Purva Tendulkar; Abhishek Das; Aniruddha Kembhavi; Devi Parikh (ICCC, 2020)

DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames. - Erik Wijmans; Abhishek Kadian; Ari Morcos; Stefan Lee; Irfan Essa; Devi Parikh; Manolis Savva; Dhruv Batra (ICLR, 2020)

Embodied Multimodal Multitask Learning. - Devendra Singh Chaplot; Lisa Lee; Ruslan Salakhutdinov; Devi Parikh; Dhruv Batra (IJCAI, 2020)

IR-VIC: Unsupervised Discovery of Sub-goals for Transfer in RL. - Nirbhay Modhe; Prithvijit Chattopadhyay; Mohit Sharma; Abhishek Das; Devi Parikh; Dhruv Batra; Ramakrishna Vedantam (IJCAI, 2020)

Dialog without Dialog Data: Learning Visual Dialog Agents from VQA Data. - Michael Cogswell; Jiasen Lu; Rishabh Jain; Stefan Lee; Devi Parikh; Dhruv Batra (NeurIPS, 2020)

The Hateful Memes Challenge: Competition Report. - Douwe Kiela; Hamed Firooz; Aravind Mohan; Vedanuj Goswami; Amanpreet Singh; Casey A. Fitzpatrick; Peter Bull; Greg Lipstein; Tony Nelli; Ron Zhu; Niklas Muennighoff; Riza Velioglu; et al. (NeurIPS (Competition and Demos), 2020)

SQuINTing at VQA Models: Interrogating VQA Models with Sub-Questions. - Ramprasaath R. Selvaraju; Purva Tendulkar; Devi Parikh; Eric Horvitz; Marco Ribeiro; Besmira Nushi; Ece Kamar (CoRR, 2020)

Are we pretraining it right? Digging deeper into visio-linguistic pretraining. - Amanpreet Singh; Vedanuj Goswami; Devi Parikh (CoRR, 2020)

Contrast and Classify: Alternate Training for Robust VQA. - Yash Kant; Abhinav Moudgil; Dhruv Batra; Devi Parikh; Harsh Agrawal (CoRR, 2020)

An Introduction to Electrocatalyst Design using Machine Learning for Renewable Energy Storage. - C. Lawrence Zitnick; Lowik Chanussot; Abhishek Das; Siddharth Goyal; Javier Heras-Domingo; Caleb Ho; Weihua Hu; Thibaut Lavril; Aini Palizhati; Morgane Riviere; Muhammed Shuaibi; Anuroop Sriram; et al. (CoRR, 2020)

The Open Catalyst 2020 (OC20) Dataset and Community Challenges. - Lowik Chanussot; Abhishek Das; Siddharth Goyal; Thibaut Lavril; Muhammed Shuaibi; Morgane Riviere; Kevin Tran; Javier Heras-Domingo; Caleb Ho; Weihua Hu; Aini Palizhati; Anuroop Sriram; et al. (CoRR, 2020)

Object-Centric Diagnosis of Visual Reasoning. - Jianwei Yang; Jiayuan Mao; Jiajun Wu 001; Devi Parikh; David D. Cox; Joshua B. Tenenbaum; Chuang Gan 001 (CoRR, 2020)

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization. - Ramprasaath R. Selvaraju; Michael Cogswell; Abhishek Das; Ramakrishna Vedantam; Devi Parikh; Dhruv Batra (Int. J. Comput. Vis., 2020)

AI-assisted Human creativity. - Devi Parikh (AffCon@AAAI, 2021)

Vx2Text: End-to-End Learning of Video-Based Text Generation From Multimodal Inputs. - Xudong Lin 003; Gedas Bertasius; Jue Wang 001; Shih-Fu Chang; Devi Parikh; Lorenzo Torresani (CVPR, 2021)

KRISP: Integrating Implicit and Symbolic Knowledge for Open-Domain Knowledge-Based VQA. - Kenneth Marino; Xinlei Chen; Devi Parikh; Abhinav Gupta 001; Marcus Rohrbach (CVPR, 2021)

Visual Conceptual Blending with Large-Scale Language and Vision Models. - Songwei Ge; Devi Parikh (ICCC, 2021)

Contrast and Classify: Training Robust VQA Models. - Yash Kant; Abhinav Moudgil; Dhruv Batra; Devi Parikh; Harsh Agrawal (ICCV, 2021)

Creative Sketch Generation. - Songwei Ge; Vedanuj Goswami; Larry Zitnick; Devi Parikh (ICLR, 2021)

SOrT-ing VQA Models : Contrastive Gradient Learning for Improved Consistency. - Sameer Dharur; Purva Tendulkar; Dhruv Batra; Devi Parikh; Ramprasaath R. Selvaraju (NAACL-HLT, 2021)

The Open Catalyst Challenge 2021: Competition Report. - Abhishek Das; Muhammed Shuaibi; Aini Palizhati; Siddharth Goyal; Aditya Grover; Adeesh Kolluru; Janice Lan; Ammar Rizvi; Anuroop Sriram; Brandon M. Wood; Devi Parikh; Zachary W. Ulissi; et al. (NeurIPS (Competition and Demos), 2021)

Human-Adversarial Visual Question Answering. - Sasha Sheng; Amanpreet Singh; Vedanuj Goswami; Jose Alberto Lopez Magana; Tristan Thrush; Wojciech Galuba; Devi Parikh; Douwe Kiela (NeurIPS, 2021)

ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations. - Weihua Hu; Muhammed Shuaibi; Abhishek Das; Siddharth Goyal; Anuroop Sriram; Jure Leskovec; Devi Parikh; C. Lawrence Zitnick (CoRR, 2021)

Human-Adversarial Visual Question Answering. - Sasha Sheng; Amanpreet Singh; Vedanuj Goswami; Jose Alberto Lopez Magana; Wojciech Galuba; Devi Parikh; Douwe Kiela (CoRR, 2021)

Building Bridges: Generative Artworks to Explore AI Ethics. - Ramya Srinivasan 002; Devi Parikh (CoRR, 2021)

Dance2Music: Automatic Dance-driven Music Generation. - Gunjan Aggarwal; Devi Parikh (CoRR, 2021)

Telling Creative Stories Using Generative Visual Aids. - Safinah Ali; Devi Parikh (CoRR, 2021)

VISITRON: Visual Semantics-Aligned Interactively Trained Object-Navigator. - Ayush Shrivastava; Karthik Gopalakrishnan 001; Yang Liu 004; Robinson Piramuthu; Gökhan Tür; Devi Parikh; Dilek Hakkani-Tur (ACL (Findings), 2022)

Episodic Memory Question Answering. - Samyak Datta; Sameer Dharur; Vincent Cartillier; Ruta Desai; Mukul Khanna; Dhruv Batra; Devi Parikh (CVPR, 2022)

Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors. - Oran Gafni; Adam Polyak; Oron Ashual; Shelly Sheynin; Devi Parikh; Yaniv Taigman (ECCV (15), 2022)

Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer. - Songwei Ge; Thomas Hayes; Harry Yang; Xi Yin 001; Guan Pang; David Jacobs 001; Jia-Bin Huang 001; Devi Parikh (ECCV (17), 2022)

MUGEN: A Playground for Video-Audio-Text Multimodal Understanding and GENeration. - Thomas Hayes; Songyang Zhang; Xi Yin 001; Guan Pang; Sasha Sheng; Harry Yang; Songwei Ge; Qiyuan Hu; Devi Parikh (ECCV (8), 2022)

SpaText: Spatio-Textual Representation for Controllable Image Generation. - Omri Avrahami; Thomas Hayes; Oran Gafni; Sonal Gupta; Yaniv Taigman; Devi Parikh; Dani Lischinski; Ohad Fried; Xi Yin 001 (CVPR, 2023)

Make-An-Animation: Large-Scale Text-conditional 3D Human Motion Generation. - Samaneh Azadi; Akbar Shah; Thomas Hayes; Devi Parikh; Sonal Gupta (ICCV, 2023)

AudioGen: Textually Guided Audio Generation. - Felix Kreuk; Gabriel Synnaeve; Adam Polyak; Uriel Singer; Alexandre Défossez; Jade Copet; Devi Parikh; Yaniv Taigman; Yossi Adi (ICLR, 2023)

Make-A-Video: Text-to-Video Generation without Text-Video Data. - Uriel Singer; Adam Polyak; Thomas Hayes; Xi Yin 001; Jie An 002; Songyang Zhang; Qiyuan Hu; Harry Yang; Oron Ashual; Oran Gafni; Devi Parikh; Sonal Gupta; et al. (ICLR, 2023)

Text-To-4D Dynamic Scene Generation. - Uriel Singer; Shelly Sheynin; Adam Polyak; Oron Ashual; Iurii Makarov; Filippos Kokkinos; Naman Goyal 001; Andrea Vedaldi; Devi Parikh; Justin Johnson 001; Yaniv Taigman (ICML, 2023)

Text-Conditional Contextualized Avatars For Zero-Shot Personalization. - Samaneh Azadi; Thomas Hayes; Akbar Shah; Guan Pang; Devi Parikh; Sonal Gupta (CoRR, 2023)

Emu: Enhancing Image Generation Models Using Photogenic Needles in a Haystack. - Xiaoliang Dai; Ji Hou; Chih-Yao Ma; Sam S. Tsai; Jialiang Wang 001; Rui Wang 067; Peizhao Zhang; Simon Vandenhende; Xiaofang Wang; Abhimanyu Dubey; Matthew Yu; Abhishek Kadian; et al. (CoRR, 2023)

Emu Video: Factorizing Text-to-Video Generation by Explicit Image Conditioning. - Rohit Girdhar; Mannat Singh; Andrew Brown; Quentin Duval; Samaneh Azadi; Sai Saketh Rambhatla; Akbar Shah; Xi Yin 001; Devi Parikh; Ishan Misra (CoRR, 2023)

Emu Edit: Precise Image Editing via Recognition and Generation Tasks. - Shelly Sheynin; Adam Polyak; Uriel Singer; Yuval Kirstain; Amit Zohar; Oron Ashual; Devi Parikh; Yaniv Taigman (CVPR, 2024)

Factorizing Text-to-Video Generation by Explicit Image Conditioning. - Rohit Girdhar; Mannat Singh; Andrew Brown; Quentin Duval; Samaneh Azadi; Sai Saketh Rambhatla; Akbar Shah; Xi Yin 001; Devi Parikh; Ishan Misra (ECCV (62), 2024)

Video Editing via Factorized Diffusion Distillation. - Uriel Singer; Amit Zohar; Yuval Kirstain; Shelly Sheynin; Adam Polyak; Devi Parikh; Yaniv Taigman (ECCV (76), 2024)